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Explore This Section Earth Home Earth Observer Home Editor’s Corner Feature Articles Meeting Summaries News Science in the News Calendars In Memoriam More Archives 21 min read
Summary of the 10th DSCOVR EPIC and NISTAR Science Team Meeting
Introduction
The 10th Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Camera (EPIC) and National Institute of Standards and Technology (NIST) Advanced Radiometer [NISTAR] Science Team Meeting (STM) was held October 16–18, 2024. Over 50 scientists attended, most of whom were from NASA’s Goddard Space Flight Center (GSFC), with several participating from other NASA centers, U.S. universities, and U.S. Department of Energy laboratories. There was one international participant – from Estonia. A full overview of DSCOVR’s Earth-observing instruments was published in a previous article in The Earth Observer and will not be repeated here. This article provides the highlights of the 2024 meeting. The meeting agenda and full presentations can be downloaded from GSFC’s Aura Validation Data Center.
Opening Presentations
The opening session of the 10th DSCOVR STM was special. Former U.S., Vice President Al Gore attended the opening session and gave a presentation at the panel discussion “Remote Sensing and the Future of Earth Observations” – see Photo. Gore was involved in the early days of planning the DSCOVR mission, which at that time was known as Triana. He reminisced about his involvement and praised the team for the work they’ve done over the past decade to launch and maintain the DSCOVR mission. Following the STM Opening Session, Gore spoke at a GSFC Engage session in Building 3 later that afternoon on the same topic, but before a wider audience. [Link forthcoming.]
Following Gore’s remarks, the remainder of the opening session consisted of a series of presentations from DSCOVR mission leaders and representatives from GSFC and National Oceanic and Atmospheric Administration (NOAA). Thomas Neumann [GSFC, Earth Sciences Division (ESD)—Deputy Director] opened the meeting and welcomed Vice President Gore and the STM participants on behalf of the ESD. Adam Szabo [GSFC—DSCOVR Project Scientist] briefly reported that the spacecraft was still in “good health.” The EPIC and NISTAR instruments on DSCOVR continue to return their full science observations. He also gave an update on DSCOVR Space Weather research. Alexander Marshak [GSFC—DSCOVR Deputy Project Scientist] briefly described DSCOVR mission history and the science results based on DSCOVR observations from the first Sun–Earth Lagrange point (hereinafter, the L1 point). He also summarized the major EPIC and NISTAR results to date. At this time, more than 125 papers related to DSCOVR are listed on the EPIC website. Elsayed Talaat [NOAA, Office of Space Weather observations—Director] discussed the future of Earth and space science studies from the L1 point.
Photo. Former U.S. Vice President Al Gore spoke at the opening session of the 10th DSCOVR Science Team Meeting. This photo shows Gore together with Makenzie Lystrup [NASA’s Goddard Space Flight Center (GSFC)—Center Director], Christa Peters-Lidard [GSFC, Director of the Science and Exploration Directorate], Elsayed Talaat [National Oceanic and Atmospheric Administration (NOAA)—Director of the Office of Space Weather Observations], Dalia Kirschbaum [GSFC—Director of Earth Sciences], other GSFC management, and members of the DSCOVR Science Team. Photo credit: Katy Comber (GSFC) Updates on DSCOVR Operations
The DSCOVR mission components continue to function nominally. The meeting was an opportunity to update participants on progress over the past year on several fronts, including data acquisition, processing, and archiving, and release of new versions of several data products. The number of people using DSCOVR data continues to increase, with a new Science Outreach Team having been put in place to aid users in several aspects of data discovery, access, and user friendliness.
Amanda Raab [NOAA, DSCOVR Mission Operations and Systems] reported on the current status of the DSCOVR mission. She also discussed spacecraft risks and issues such as memory fragmentation and data storage task anomalies but indicated that both these issues have been resolved.
Hazem Mahmoud [NASA’s Langley Research Center (LaRC)] discussed the work of the Atmospheric Science Data Center (ASDC), which is based at LaRC. He showed DSCOVR mission metrics since 2015, focusing on data downloads and the global outreach of the mission. He noted that there has been a significant rise in the number of downloads and an increasing diversity of countries accessing ozone (O3), aerosol, and cloud data products. Mahmoud also announced that the ASDC is transitioning to the Amazon Web Services cloud, which will further enhance global access and streamline DSCOVR data processing.
Karin Blank [GSFC] covered the discovery of a new type of mirage that can only be seen in deep space from EPIC. The discussion included the use of a ray tracer in determining the origin of the phenomenon, and under what conditions it can be seen.
Alexander Cede [SciGlob] and Ragi Rajagopalan [LiftBlick OG] gave an overview of the stability of the EPIC Level-1A (L1A) data over the first decade of operation. They explained that the only observable changes in the EPIC calibration are to the dark count and flat field can – and that these changes can be entirely attributed to the temperature change of the system in orbit compared to prelaunch conditions. No additional hot or warm pixels have emerged since launch and no significant sensitivity drifts have been observed. The results that Cede and Rajagopalan showed that EPIC continues to be a remarkably stable instrument, which is attributed to a large extent to its orbit around the L1 point, which is located outside the Earth’s radiation belts and thus an extremely stable temperature environment. Consequently, in terms of stability, the L1 point is far superior to other Earth observation points, e.g., ground-based, low-Earth orbit (LEO), polar orbit, or geostationary Earth orbit (GEO).
Marshall Sutton [GSFC] discussed the state of the DSCOVR Science Operation Center (DSOC). He also talked about processing EPIC Level-1 (L1) data into L2 science products, daily images available on the EPIC website, and special imaging opportunities, e.g., volcanic eruptions.
EPIC Calibration
After 10 years of operation in space, the EPIC instrument on DSCOVR continues to be a remarkably stable instrument. The three presentations describe different ways that are used to verify the EPIC measurements remain reliable.
Conor Haney [LaRC] reported on anomalous outliers during February and March 2023 from the broadband shortwave (SW) flux using EPIC L1B channel radiances. To ensure that these outliers were not a result of fluctuations in the EPIC L1B channel radiances, both the EPIC radiance measurements and coincident, ray-matched radiance measurements from the Visible Infrared Imaging Radiometer Suite (VIIRS), on the Suomi National Polar-orbiting Partnership (Suomi NPP) platform, were processed using the same deep convective cloud invariant target (DCC-IT) algorithm. This analysis confirmed that the anomalous behavior was due to the DCC-IT algorithm – and not because of fluctuations in the EPIC L1B channel radiances. The improved DCC-IT methodology was also applied to the EPIC L1B radiances. The results indicate that the EPIC record is quite stable with a lower uncertainty than when processed using the previous DCC-IT methodology.
Igor Geogdzhaev [NASA’s Goddard Institute for Space Studies (GISS)/Columbia University] reported that EPIC Visible–Near Infrared (VIS-NIR) calibration based on VIIRS (on Suomi NPP) data has showed excellent stability, while VIIRS (on NOAA-20 and -21) derived gains agree to within 1–2%. Preliminary analysis showed continuity in the gains derived from Advanced Baseline Imager (ABI) data. (ABI flies on NOAA’s two operational Geostationary Operational Environmental Satellite–Series R satellites – GOES-17 and GOES-18.
Liang–Kang Huang [Science Systems and Applications, Inc. (SSAI)] reported on updates to the EPIC ultraviolet (UV) channel sensitivity time dependences using Sun-normalized radiance comparisons between EPIC and measurements from the Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper (NM) on Suomi NPP, with coinciding footprints and solar/satellite angles. Huang’s team determined vignetting factors in the sensitivity calibration between 2021–2024, as a function of charge coupled device (CCD) pixel radius and pixel polar angles, using special lunar measurement sequences.
NISTAR Status and Science with Its Observations
The NISTAR instrument remains fully functional and continues its uninterrupted data record. The NISTAR-related presentations during this meeting included more details on specific topics related to NISTAR as well as on efforts to combine information from both EPIC and NISTAR.
Steven Lorentz [L-1 Standards and Technology, Inc.] reported that the NISTAR on DSCOVR has been measuring the irradiance from the sunlit Earth in three bands for more than nine years. The three bands measure the outgoing total and reflected-solar radiation from Earth at a limited range of solar angles. To compare the long-term stability of EPIC and NISTAR responses, researchers developed a narrowband to wideband conversion model to allow the direct comparison of the EPIC multiband imagery and NISTAR SW – see Figure 1 – and silicon photodiode channels. Lorentz presented daily results spanning several years. The comparison employed different detectors from the same spacecraft – but with the same vantage point – thereby avoiding any model dependent orbital artifacts.
Figure 1. NISTAR daily average shortwave (SW) radiance plotted for each year from 2017–2024. The results indicated a 10% increase in the shortwave radiance as the backscattering angle approaches 178° in December 2020. A 6% increase is noted in September of the same year. Figure credit: Steven Lorentz (L-1 Standards and Technology) Clark Weaver [University of Maryland, College Park (UMD)] used spectral information from the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY), which flew on the European Space Agency’s (ESA) Envisat satellite from 2002–2012, to fill EPIC spectral gaps. He reported on construction of a composite height resolution spectrum that was spectrally integrated to produce SW energy. Weaver explained that he compared the EPIC reflected SW with four-hour averages from Band 4 on NISTAR. He used spectral information from SCIAMACHY to fill in gaps. Weaver also discussed results of a comparison of area integrated EPIC SW energy with observations from NISTAR .
Andrew Lacis [GISS] reported on results of analysis of seven years of EPIC-derived planetary albedo for Earth, which reveal global-scale longitudinal variability occurring over a wide range of frequencies – with strong correlation between nearby longitudes and strong anticorrelation between diametrically opposed longitudes. This behavior in the Earth’s global-scale energy budget variability is fully corroborated by seven years of NISTAR silicon photodiode measurements, which view the Earth with 1º longitudinal resolution. This analysis establishes the DSCOVR mission EPIC/NISTAR measurements as a new and unmatched observational data source for evaluating global climate model performance– e.g., see Figure 2.
Figure 2. This graph shows the diurnal variation in planetary albedo as measured by EPIC for five different eight-day-Blurred Meridians relative to Global Mean for 2021 [left] and 2022 [right]. Figure credit: Andrew Lacis [GISS] Wenying Su [LaRC] discussed global daytime mean SW fluxes within the EPIC field of view produced from January 2016–June 2024. These quasi-hourly SW fluxes agree very well with the Synoptic data product from the Clouds and the Earth’s Radiant Energy System (CERES) instruments (currently flying on the Terra and Aqua, Suomi NPP, and NOAA-20 platforms) with the root mean square errors (rmse) less than 3 W/m2. This SW flux processing framework will be used to calculate NISTAR SW flux when Version 4 (V4) of the NISTAR radiance becomes available. Su noted that SW fluxes from EPIC are not suitable to study interannual variability as the magnitude of EPIC flux is sensitive to the percentage of daytime area visible to EPIC.
Update on EPIC Products and Science Results
EPIC has a suite of data products available. The following subsections summarize content during the DSCOVR STM related to these products. The updates focus on several data products and the related algorithm improvements.
Total Column Ozone
Jerry Ziemke [Morgan State University (MSU), Goddard Earth Sciences Technology and Research–II (GESTAR II)] and Natalya Kramarova [GSFC] reported that tropospheric O3 from DSCOVR EPIC shows anomalous reductions of ~10% throughout the Northern Hemisphere (NH) starting in Spring 2020 that continues to the present. The EPIC data, along with other satellite-based (e.g., Ozone Monitoring Instrument (OMI) on NASA’s Aura platform) and ground-based (e.g., Pandora) data, indicate that the observed NH reductions in O3 are due to combined effects from meteorology and reduced pollution, including reduced shipping pollution in early 2020 (during COVID) – see Figure 3. EPIC 1–2 hourly data are also used to evaluate hourly total O3 and derived tropospheric O3 from NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) geostationary instrument. Ziemke explained that comparison of TEMPO data with EPIC data has helped the researchers characterize a persistent latitude-dependent offset in TEMPO total O3 data of ~10–15% from south to north over the North American continent.
Figure 3. This dataset combines input from EPIC, OMPS, and OMI from 2004–2022. The onset of the COVID-19 pandemic in 2020 can be seen clearly in the data as it corresponds to a sudden drop in tropospheric column ozone by ~3 Dobson Units in the Northern Hemisphere. Figure credit: Jerry Ziemke (Morgan State University, GESTAR-II) Algorithm Improvement for Ozone and Sulfur Dioxide Products
Kai Yang [UMD] presented a comprehensive evaluation of total and tropospheric O3 retrievals, highlighting the long-term stability and high accuracy of EPIC measurements. He also validated EPIC’s volcanic sulfur dioxide (SO2) retrievals by comparing them with ground-based Brewer spectrophotometer measurements and summarized EPIC’s observations of SO2 from recent volcanic eruptions.
Simon Carn [University of Michigan] showed the first comparisons between the EPIC L2 volcanic SO2 product and SO2 retrievals from the Geostationary Environment Monitoring Spectrometer (GEMS) on the Korean GEO-Kompsat-2B satellite. GEMS observes East Asia as part of the new geostationary UV air quality (GEO-AQ) satellite constellation (which also includes TEMPO that observes North America and will include the Ultraviolet–Visible–Near Infrared (UVN) instrument on the European Copernicus Sentinel-4 mission, that will be launched in 2025 to observe Europe and surrounding areas) – but is not optimized for measurements of high SO2 columns during volcanic eruptions. EPIC SO2 data for the 2024 eruption of Ruang volcano in Indonesia are being used to validate a new GEMS volcanic SO2 product. Initial comparisons show good agreement between EPIC and GEMS before volcanic cloud dispersal and confirm the greater sensitivity of the hyperspectral GEMS instrument to low SO2 column amounts.
Aerosols
Alexei Lyapustin [GSFC] reported that the latest EPIC aerosols algorithm (V3) simultaneously retrieves aerosol optical depth, aerosol spectral absorption, and aerosol layer height (ALH) – achieving high accuracy. He showed that global validation of the single scattering albedo in the blue and red shows 66% and 81–95% agreement respectively, with Aerosol Robotic Network (AERONET) observations – which is within the expected error of 0.03 for smoke and dust aerosols. Lyapustin also reported on a comparison of EPIC aerosol data collected from 2015–2023 by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), which flew on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission. The results show that ALH is retrieved with rmse ~1.1 km (0.7 mi). ALH is unbiased over the ocean and is underestimated by 450 m (1470 ft) for the smoke and by 750 m (2460 ft) for the dust aerosols over land.
Myungje Choi and Sujung Go [both from University of Maryland, Baltimore County’s (UMBC), GESTAR II] presented results from a global smoke and dust characterization using Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm. This study characterized smoke and dust aerosol properties derived from MAIAC EPIC processing, examining spectral absorption, ALH, and chemical composition (e.g., black and brown carbon). Regions with smoldering wildfires, e.g., North America and Siberia, exhibited high ALH and a significant fraction of brown carbon, while Central Africa showed lower ALH with higher black carbon emissions.
Omar Torres [GSFC] discussed how L1 DSCOVR-EPIC observations are being used to study air quality (i.e., tropospheric O3 and aerosols) globally. Torres noted that this application of EPIC-L1 observations is of particular interest in the Southern Hemisphere (SH) where, unlike over the NH, there are currently no space GEO-based air quality measurements – and no plans for them in the foreseeable future.
Hiren Jethva [MSU, GESTAR II] presented the new results of the aerosol optical centroid height retrieved from the EPIC Oxygen-B band observations. He described the algorithm details, showed retrieval maps, and reviewed the comparative analysis against CALIOP backscatter-weighted measurements. The analysis showed a good level of agreement with more than 70% of matchup data within 1–1.5 km (0.6–0.9 mi) difference.
Jun Wang [University of Iowa] presented his team’s work on advancing the second generation of the aerosol optical centroid height (AOCH) algorithm for EPIC. Key advancements included: constraining surface reflectance in aerosol retrieval using an EPIC-based climatology of surface reflectance ratios between 442–680 nm; incorporating a dynamic aerosol model to characterize aged smoke particles; and employing a spectral slope technique to distinguish thick smoke plumes from clouds. Results show that both atmospheric optical depth (AOD) and AOCH retrievals are improved in the second generation of AOCH algorithm.
Olga Kalashnikova [NASA/Jet Propulsion Laboratory (JPL)] reported on improving brown carbon evolution processes in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) model with EPIC products. She indicated that DSCOVR product evaluation, using lidar aerosol height measurements from CALIOP, led to an improved operational brown carbon product. To better resolve the temporal evolution of brown carbon, chemical transport models need to include more information about near-source fires.
Mike Garay [NASA/Jet Propulsion Laboratory (JPL)] discussed constraining near-source brown carbon emissions from 2024 Canadian ‘zombie’ fires with EPIC products. He reported that fires in British Columbia, Canada showed differences in brown carbon emission near the sources. Garay explained that their investigation has revealed that these differences were related to fire intensity and variations in vegetation/soil content.
Yuekui Yang [GSFC] presented work that examined the impact of Earth’s curvature consideration on EPIC cloud height retrievals. Biases under the Plane Parallel (PPL) assumption is studied by comparing results using the improved pseudo-spherical shell approximation. PPL retrievals in general bias high and for a cloud with height of 5 km (3 mi), the bias is about 6%.
Alfonso Delgado Bonal [UMBC] stated that the EPIC vantage point offers a unique opportunity to observe not only the current state of the Earth but also its temporal evolution. By capturing multiple observations of the planet throughout the day, EPIC enables statistical reconstruction of diurnal patterns in clouds and other atmospheric parameters. Bonal’s team focused their research on O3 (primarily tropospheric) over the U.S. to demonstrate the presence of a diurnal cycle in the western regions of the continental U.S. However, ground-based data from PANDORA for specific locations do not support these diurnal variations – underscoring the critical role of space-based O3 retrievals. The proposed methodology is not limited to clouds or O3 but is broadly applicable to other EPIC measurements for the dynamic nature of our planet.
Elizabeth Berry [Atmospheric and Environmental Research (AER)] presented results from a coincident DSCOVR–CloudSat dataset [covering 2015–2020]. Cloud properties (e.g., cloud height and optical depth) from DSCOVR and CloudSat are moderately correlated and show quite good agreement given differences in the instruments sensitivities and footprints. Berry explained that a machine-learning model trained on the coincident data demonstrates high accuracy at predicting the presence of vertical cloud layers. However, precision and recall metrics highlight the challenge of predicting the precise location of cloud boundaries.
Anthony Davis [JPL] presented a pathway toward accurate estimation of the cloud optical thickness (COT) of opaque clouds and cloud systems, e.g., supercells, mesoscale convective complexes, and tropical cyclones (TCs). He described the approach, which uses differential oxygen absorption spectroscopy (DOAS) that has resolving power greater than 104 – which is comparable to that of the high-resolution spectrometers on NASA’s Orbiting Carbon Observatory–2 (OCO-2) – but is based upon the cloud information content of EPIC’s O2 A- and B-band radiances. Unlike the current operational retrieval of COT – which uses data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra and Aqua – the DOAS-based technique does not saturate at COT exceeding ~60. According to a popular TC model with two-moment microphysics, COT in a tropical storm or hurricane can reach well into the hundreds, sometimes exceeding 1000. Davis said that once the new COT estimates become available, they will provide new observational constraints on process and forecast models for TCs.
Ocean
Robert Frouin [Scripps Institution of Oceanography, University of California] discussed ocean surface radiation products derived from EPIC data. He explained that significant advancements have been achieved in processing and evaluating ocean biology and biogeochemistry products derived from EPIC imagery. V1 updates enhanced accuracy by integrating Modern-Era Retrospective analysis for Research and Applications V2 (MERRA-2) ancillary data and refining calculations for atmospheric and surface parameters. Frouin introduced several diurnal products, including hourly photosynthetically active radiation (PAR) fluxes, spectral water reflectance, and chlorophyll-a concentrations. He said that these new MODIS-derived products have been validated through comparisons with data from the Advanced Himawari Imager on the Japanese Himawar–8 and –9 satellites. In order to address the gaps in these diurnal products, Frouin explained that the team developed a convolutional neural network that has been used effectively to reconstruct missing PAR values with high accuracy.
Vegetation
Yuri Knyazikhin [Boston University] reported on the status of the Vegetation Earth System Data Record (VESDR) that provides a variety of parameters including: Leaf Area Index (LAI), diurnal courses of Normalized Difference Vegetation Index (NDVI), Sunlit LAI (SLAI), Fraction of incident Photosynthetically Active Radiation (FPAR) absorbed by the vegetation, Directional Area Scattering Function (DASF), Earth Reflector Type Index (ERTI), and Canopy Scattering Coefficient (CSC). Knyazikhin discussed analysis of the diurnal and seasonal variations of these quantities. EPIC LAI and FPAR are consistent with MODIS-derived measurements of the same parameters.
Jan Pisek [University of Tartu/Tartu Observatory, Estonia] discussed efforts to derive leaf inclination information from EPIC data. The very first evaluation over Tumbarumba site (in New South Wales, Australia) showed that the angular variation in parameters obtained from EPIC reflects the expected variations due to the erectophile vegetation present at the site.
Sun Glint
Tamás Várnai [UMBC, JCET] discussed EPIC observations of Sun glint from ice clouds. The cloud glints come mostly from horizontally oriented ice crystals and have strong impact in EPIC cloud retrievals. Várnai reported that the EPIC glint product is available from the ASDC – see Figure 4. Glint data can help reduce the uncertainties related to horizontally oriented ice crystals and yield additional new insights about the microphysical and radiative properties of ice clouds.
Figure 4. [top row] EPIC glint mask examples over land in [left to right] Paraguay, Sudan, Thailand, and Brazil. [bottom row] The corresponding EPIC glint mask for each image on the top row indicates the band (red, green and blue) and the size of sun glint for each of them. Figure credit: Tamás Várnai (University of Maryland, Baltimore County) Alexander Kostinski [Michigan Technology University] explained that because they detected climatic signals (i.e., longer-term changes and semi-permanent features, e.g., ocean glitter), they developed a technique to suppress geographic “noise” in EPIC images that involves introducing temporally (monthly) and conditionally (classifying by surface/cover type, e.g., land, ocean, clouds) averaged reflectance images – see Figure 5. The resulting images display seasonal dependence in a striking manner. Additionally, cloud-free, ocean-only images highlight prominent regions of ocean glitter.
Figure 5. Monthly reflectances for clear land pixels. Earth masquerading as Jupiter; latitudinal bright bands are caused by features such as the Sahara and Antarctica. Black spots are due to the lack or dearth of clear land pixels at that latitude. Repeated spots within latitudinal bands reflect roughly bi-hourly image sampling. Figure credit: Alexander Kostinski (Michigan Technology University); from a 2024 paper published in Frontiers of Remote Sensing Jiani Yang [Caltech] reported that spatially resolving light curves from DSCOVR is crucial for evaluating time-varying surface features and the presence of an atmosphere. Both of these features are essential for sustaining life on Earth – and thus can be used to assess the potential habitability of exoplanets. Using epsilon machine reconstruction, the statistical complexity from the time series data of these light curves can be calculated. The results show that statistical complexity serves as a reliable metric for quantifying the intricacy of planetary features. Higher levels of planetary complexity qualitatively correspond to increased statistical complexity and Shannon entropy, illustrating the effectiveness of this approach in identifying planets with the most dynamic characteristics.
Other EPIC Science Results
Guoyong Wen [MSU, GESTAR II] analyzed the variability of global spectral reflectance from EPIC and the integrated broadband reflectance on different timescales. He reported that on a diurnal timescale, the global reflectance variations in UV and blue bands are statistically similar – and drastically different from those observed in longer wavelength bands (i.e., green to NIR). The researchers also did an analysis of monthly average results and found that temporal averaging of the global reflectance reduces the variability across the wavelength and that the variability of broadband reflectance is similar to that for the red band on both timescales. These results are mainly due to the rotation of the Earth on diurnal timescale and the change of the Earth’s tilt angle.
Nick Gorkavyi [Science Systems and Applications, Inc. (SSAI)] reported that EPIC – located at the L1 point, 1.5 million km (0.9 million mi) away from Earth – can capture images of the far side of the Moon in multiple wavelengths. These images, taken under full solar illumination, can be used to calibrate photographs obtained by lunar artificial satellites. Additionally, he discussed the impact of lunar libration – the changing view of the Moon from Earth, or it’s apparent “wobble” – on Earth observations from the Moon.
Jay Herman [UMBC] discussed a comparison of EPIC O3 with TEMPO satellite and Pandora ground-based measurement. The results show that total column O3 does not have a significant photochemical diurnal variation. Instead, the daily observed diurnal variation is caused by weather changes in atmospheric pressure. This measurement result agrees with model calculations.
Conclusion
Alexander Marshak, Jay Herman, and Adam Szabo led a closing discussion with ST participants on how to make the EPIC and NISTAR instruments more visible in the community. It was noted that the EPIC website now allows visitors to observe daily fluctuations of aerosol index, cloud fraction, cloud height, and the ocean surface – as observed from the L1 point. More daily products, (e.g., aerosol height and sunlit leaf area index) will be added soon, which should attract more users to the website.
Overall, the 2023 DSCOVR EPIC and NISTAR STM was successful. It provided an opportunity for participants to learn the status of DSCOVR’s Earth-observing instruments, EPIC and NISTAR, the status of recently released L2 data products, and the science results being achieved from the L1 point. As more people use DSCOVR data worldwide, the ST hopes to hear from users and team members at its next meeting. The latest updates from the mission can be found on the EPIC website.
Alexander Marshak
NASA’s Goddard Space Flight Center
alexander.marshak@nasa.gov
Adam Szabo
NASA’s Goddard Space Flight Center
adam.szabo@nasa.gov
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Last Updated Feb 14, 2025 Related Terms
Earth Science View the full article
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By NASA
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Preparations for Next Moonwalk Simulations Underway (and Underwater)
A team at JPL packed up three small Moon rovers, delivering them in February to the facility where they’ll be attached to a commercial lunar lander in preparation for launch. The rovers are part of a project called CADRE that could pave the way for potential future multirobot missions.. NASA/JPL-Caltech A trio of suitcase-size rovers and their base station have been carefully wrapped up and shipped off to join the lander that will deliver them to the Moon’s surface.
Three small NASA rovers that will explore the lunar surface as a team have been packed up and shipped from the agency’s Jet Propulsion Laboratory in Southern California, marking completion of the first leg of the robots’ journey to the Moon.
The rovers are part of a technology demonstration called CADRE (Cooperative Autonomous Distributed Robotic Exploration), which aims to show that a group of robots can collaborate to gather data without receiving direct commands from mission controllers on Earth. They’ll use their cameras and ground-penetrating radars to send back imagery of the lunar surface and subsurface while testing out the novel software that enables them to work together autonomously.
The CADRE rovers will launch to the Moon aboard IM-3, Intuitive Machines’ third lunar delivery, which has a mission window that extends into early 2026, as part of NASA’s CLPS (Commercial Lunar Payload Services) initiative. Once installed on Intuitive Machines’ Nova-C lander, they’ll head to the Reiner Gamma region on the western edge of the Moon’s near side, where the solar-powered, suitcase-size rovers will spend the daylight hours of a lunar day (the equivalent of about 14 days on Earth) carrying out experiments. The success of CADRE could pave the way for potential future missions with teams of autonomous robots supporting astronauts and spreading out to take simultaneous, distributed scientific measurements.
Members of a JPL team working on NASA’s CADRE technology demonstration use temporary red handles to move one of the project’s small Moon rovers to prepare it for transport to Intuitive Machines’ Houston facility, where it will be attached to the company’s third lunar lander. Construction of the CADRE hardware — along with a battery of rigorous tests to prove readiness for the journey through space — was completed in February 2024.
To get prepared for shipment to Intuitive Machines’ Houston facility, each rover was attached to its deployer system, which will lower it via tether from the lander onto the dusty lunar surface. Engineers flipped each rover-deployer pair over and attached it to an aluminum plate for safe transit. The rovers were then sealed in protective metal-frame enclosures that were fitted snuggly into metal shipping containers and loaded onto a truck. The hardware arrived safely on Sunday, Feb. 9.
“Our small team worked incredibly hard constructing these robots and putting them to the test, and we have been eagerly waiting for the moment where we finally see them on their way,” said Coleman Richdale, the team’s assembly, test, and launch operations lead at JPL. “We are all genuinely thrilled to be taking this next step in our journey to the Moon, and we can’t wait to see the lunar surface through CADRE’s eyes.”
The rovers, the base station, and a camera system that will monitor CADRE experiments on the Moon will be integrated with the lander — as will several other NASA payloads — in preparation for the launch of the IM-3 mission.
More About CADRE
A division of Caltech in Pasadena, California, JPL manages CADRE for the Game Changing Development program within NASA’s Space Technology Mission Directorate. The technology demonstration was selected under the agency’s Lunar Surface Innovation Initiative, which was established to expedite the development of technologies for sustained presence on the lunar surface. NASA’s Science Mission Directorate manages the CLPS initiative. The agency’s Glenn Research Center in Cleveland and its Ames Research Center in Silicon Valley, California, both supported the project. Motiv Space Systems designed and built key hardware elements at the company’s Pasadena facility. Clemson University in South Carolina contributed research in support of the project.
For more about CADRE, go to:
https://go.nasa.gov/cadre
News Media Contact
Melissa Pamer
Jet Propulsion Laboratory, Pasadena, Calif.
626-314-4928
melissa.pamer@jpl.nasa.gov
2025-018
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Last Updated Feb 11, 2025 Related Terms
CADRE (Cooperative Autonomous Distributed Robotic Exploration) Commercial Lunar Payload Services (CLPS) Earth's Moon Game Changing Development Program Jet Propulsion Laboratory Space Technology Mission Directorate Technology Technology Demonstration Explore More
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Preparations for Next Moonwalk Simulations Underway (and Underwater)
With more than 17 years of experience at NASA, Lindsai Bland has been an integral part of the agency, contributing to multiple Earth observing system missions at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. Now, Bland ensures the agency’s communications and navigation resources meet overall needs and requirements as the Mission Operations Interface Lead for NASA’s SCaN (Space Communications and Navigation) program.
This sunset photo shows Deep Space Station 14 (DSS-14), the 230-foot-wide (70-meter) antenna at the Goldstone Deep Space Communications Complex near Barstow, California, part of NASA’s Deep Space Network. The network’s three complexes around the globe support communications with dozens of deep space missions. DSS-14 is also the agency’s Goldstone Solar System Radar, which is used to observe asteroids that come close to Earth. The program, managed through the agency’s Space Operations Mission Directorate, is responsible for all of NASA’s space communications operations, including the Near Space Network and Deep Space Network, which have enabled the success of more than 100 NASA and non-NASA missions. Astronauts aboard the International Space Station, missions monitoring Earth’s weather and effects of climate change, and spacecraft exploring the Moon and beyond all depend on NASA’s Near Space and Deep Space Networks to provide robust communications services. As interface lead, Bland works with teams to guarantee that critical data is transmitted between spacecraft and desired control center.
“Working with the SCaN program gives me the opportunity to be a part of a variety of mission types with endless science objectives,” said Bland. “Joining this team has been a highlight of my career, and tackling new challenges has been incredibly rewarding.”
Looking ahead, Bland envisions that NASA will persevere in expanding the boundaries of space exploration, especially as the agency partners with international and U.S. industry in support of commercially owned and operated low Earth orbit destinations.
Lindsai Bland, Mission Operations Interface Lead for the Space Communications and Navigation Division
“I think NASA will continue to push the boundaries of the aerospace industry and physical science studies,” she says. “NASA will take risks in exploration, bringing along industries and businesses to help further our goals.”
Outside of her work at NASA, Bland is passionate about the arts. She was an avid dancer from a young age, training in ballet, modern, and jazz. Bland also enjoys making her own cosmetics. She believes strongly in giving back to her community and dedicates some of her personal time to community services effort around Montgomery County, Maryland.
Bland’s career at NASA is a testament to her dedication, expertise, and passion for science and space exploration. Bland will continue to NASA’s mission in expand our understanding and study of our solar system and universe in captivating new ways.
NASA’s Space Operations Mission Directorate maintains a continuous human presence in space for the benefit of people on Earth. The programs within the directorate are the heart of NASA’s space exploration efforts, enabling Artemis, commercial space, science, and other agency missions through communication, launch services, research capabilities, and crew support.
To learn more about NASA’s Space Operation Mission Directorate, visit:
https://www.nasa.gov/directorates/space-operations
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By NASA
International teams of astronomers monitoring a supermassive black hole in the heart of a distant galaxy have detected features never seen before using data from NASA missions and other facilities. The features include the launch of a plasma jet moving at nearly one-third the speed of light and unusual, rapid X-ray fluctuations likely arising from near the very edge of the black hole.
Radio images of 1ES 1927+654 reveal emerging structures that appear to be jets of plasma erupting from both sides of the galaxy’s central black hole following a strong radio flare. The first image, taken in June 2023, shows no sign of the jet, possibly because hot gas screened it from view. Then, starting in February 2024, the features emerge and expand away from the galaxy’s center, covering a total distance of about half a light-year as measured from the center of each structure. NSF/AUI/NSF NRAO/Meyer at al. 2025 The source is 1ES 1927+654, a galaxy located about 270 million light-years away in the constellation Draco. It harbors a central black hole with a mass equivalent to about 1.4 million Suns.
“In 2018, the black hole began changing its properties right before our eyes, with a major optical, ultraviolet, and X-ray outburst,” said Eileen Meyer, an associate professor at UMBC (University of Maryland Baltimore County). “Many teams have been keeping a close eye on it ever since.”
She presented her team’s findings at the 245th meeting of the American Astronomical Society in National Harbor, Maryland. A paper led by Meyer describing the radio results was published Jan. 13 in The Astrophysical Journal Letters.
After the outburst, the black hole appeared to return to a quiet state, with a lull in activity for nearly a year. But by April 2023, a team led by Sibasish Laha at UMBC and NASA’s Goddard Space Flight Center in Greenbelt, Maryland, had noted a steady, months-long increase in low-energy X-rays in measurements by NASA’s Neil Gehrels Swift Observatory and NICER (Neutron star Interior Composition Explorer) telescope on the International Space Station. This monitoring program, which also includes observations from NASA’s NuSTAR (Nuclear Spectroscopic Telescope Array) and ESA’s (European Space Agency) XMM-Newton mission, continues.
The increase in X-rays triggered the UMBC team to make new radio observations, which indicated a strong and highly unusual radio flare was underway. The scientists then began intensive observations using the NRAO’s (National Radio Astronomy Observatory) VLBA (Very Long Baseline Array) and other facilities. The VLBA, a network of radio telescopes spread across the U.S., combines signals from individual dishes to create what amounts to a powerful, high-resolution radio camera. This allows the VLBA to detect features less than a light-year across at 1ES 1927+654’s distance.
Active galaxy 1ES 1927+654, circled, has exhibited extraordinary changes since 2018, when a major outburst occurred in visible, ultraviolet, and X-ray light. The galaxy harbors a central black hole weighing about 1.4 million solar masses and is located 270 million light-years away. Pan-STARRS Radio data from February, April, and May 2024 reveals what appear to be jets of ionized gas, or plasma, extending from either side of the black hole, with a total size of about half a light-year. Astronomers have long puzzled over why only a fraction of monster black holes produce powerful plasma jets, and these observations may provide critical clues.
“The launch of a black hole jet has never been observed before in real time,” Meyer noted. “We think the outflow began earlier, when the X-rays increased prior to the radio flare, and the jet was screened from our view by hot gas until it broke out early last year.”
A paper exploring that possibility, led by Laha, is under review at The Astrophysical Journal. Both Meyer and Megan Masterson, a doctoral candidate at the Massachusetts Institute of Technology in Cambridge who also presented at the meeting, are co-authors.
Using XMM-Newton observations, Masterson found that the black hole exhibited extremely rapid X-ray variations between July 2022 and March 2024. During this period, the X-ray brightness repeatedly rose and fell by 10% every few minutes. Such changes, called millihertz quasiperiodic oscillations, are difficult to detect around supermassive black holes and have been observed in only a handful of systems to date.
“One way to produce these oscillations is with an object orbiting within the black hole’s accretion disk. In this scenario, each rise and fall of the X-rays represents one orbital cycle,” Masterson said.
If the fluctuations were caused by an orbiting mass, then the period would shorten as the object fell ever closer to the black hole’s event horizon, the point of no return. Orbiting masses generate ripples in space-time called gravitational waves. These waves drain away orbital energy, bringing the object closer to the black hole, increasing its speed, and shortening its orbital period.
Over two years, the fluctuation period dropped from 18 minutes to just 7 — the first-ever measurement of its kind around a supermassive black hole. If this represented an orbiting object, it was now moving at half the speed of light. Then something unexpected happened — the fluctuation period stabilized.
In this artist’s concept, matter is stripped from a white dwarf (sphere at lower right) orbiting within the innermost accretion disk surrounding 1ES 1927+654’s supermassive black hole. Astronomers developed this scenario to explain the evolution of rapid X-ray oscillations detected by ESA’s (European Space Agency) XMM-Newton satellite. ESA’s LISA (Laser Interferometer Space Antenna) mission, due to launch in the next decade, should be able to confirm the presence of an orbiting white dwarf by detecting the gravitational waves it produces. NASA/Aurore Simonnet, Sonoma State University “We were shocked by this at first,” Masterson explained. “But we realized that as the object moved closer to the black hole, its strong gravitational pull could begin to strip matter from the companion. This mass loss could offset the energy removed by gravitational waves, halting the companion’s inward motion.”
So what could this companion be? A small black hole would plunge straight in, and a normal star would quickly be torn apart by the tidal forces near the monster black hole. But the team found that a low-mass white dwarf — a stellar remnant about as large as Earth — could remain intact close to the black hole’s event horizon while shedding some of its matter. A paper led by Masterson summarizing these results will appear in the Feb. 13 edition of the journal Nature.
This model makes a key prediction, Masterson notes. If the black hole does have a white dwarf companion, the gravitational waves it produces will be detectable by LISA (Laser Interferometer Space Antenna), an ESA mission in partnership with NASA that is expected to launch in the next decade.
Download high-resolution images from NASA’s Scientific Visualization Studio
By Francis Reddy
NASA’s Goddard Space Flight Center, Greenbelt, Md.
Media Contacts:
Claire Andreoli
301-286-1940
claire.andreoli@nasa.gov
NASA’s Goddard Space Flight Center, Greenbelt, Md.
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National Radio Astronomy Observatory, Charlottesville, Va.
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Last Updated Jan 13, 2025 Related Terms
Active Galaxies Astrophysics Black Holes Galaxies, Stars, & Black Holes Goddard Space Flight Center Jet Propulsion Laboratory Neil Gehrels Swift Observatory NICER (Neutron star Interior Composition Explorer) NuSTAR (Nuclear Spectroscopic Telescope Array) Radio Astronomy Supermassive Black Holes The Universe White Dwarfs X-ray Astronomy XMM-Newton (X-ray Multi-Mirror Newton) View the full article
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By NASA
Earth Observer Earth Home Earth Observer Home Editor’s Corner Feature Articles Meeting Summaries News Science in the News Calendars In Memoriam More Archives 32 min read
Summary of the 2024 NASA LCLUC Science Team Meeting
Introduction
The 2024 NASA Land-Cover and Land-Use Change (LCLUC) Science Team Meeting (STM) took place from April 2–4, 2024 at the Marriott Washingtonian Center in Gaithersburg, MD. During the meeting, 75 people attended in-person. Represented among the attendees were LCLUC project investigators and collaborators, NASA Headquarters (HQ) program managers, and university researchers and students – see Photo.
LCLUC is an interdisciplinary scientific program within NASA’s Earth Science program that aims to develop the capability for periodic global inventories of land use and land cover from space. The program’s goal is to develop the scientific understanding and models necessary to simulate the processes taking place and to evaluate the consequences of observed and predicted changes.
The LCLUC program’s focus is divided into three areas – impacts, monitoring, and synthesis. Each category constitutes about one-third of the program’s content. The LCLUC program is part of the Carbon Cycle and Ecosystems research area, alongside other programs, such as Terrestrial Ecosystems, Ocean Biology and Biogeochemistry, and Biodiversity.
Within NASA’s Earth Science Division (ESD), the LCLUC program collaborates with the Earth Science Technology Office (ESTO), the Earth Action Program element on Agriculture, and data initiatives, such as Harmonized Landsat Sentinel-2 (HLS), Observational Products for End-Users from Remote Sensing Analysis (OPERA), and the Commercial SmallSat Data Acquisition (CSDA) program. Externally, the program engages the U.S. Global Climate Research Program (USGCRP), U.S. Geological Survey (USGS), the U.S. Department of Agriculture (USDA), and the U.S. Forest Service (USFS). Internationally, the program collaborates with Global Observations of Forest Cover and Land-use Dynamics (GOFC-GOLD), the Group on Earth Observations (GEO), particularly Group on Earth Observations Global Agricultural Monitoring (GEOGLAM), the Global Land Program (GLP), as well as regional initiatives – e.g., the South and Southeast Asia Regional Initiative (SARI), and space agencies, including the European Space Agency (ESA), Japan Aerospace Exploration Agency (JAXA), Geo-Informatics and Space Technology Development Agency (GISTDA)–Thailand, Vietnam National Space Center (VNSC), and the Indian Space Research Organisation (ISRO).
Principal Investigators (PIs) who participate in LCLUC are required to provide free and open access to their data and products via their metadata pages, aligning with NASA’s Transform to Open Science (TOPS) initiative. The program organizes at least one international regional workshop and one domestic ST meeting each year to share LCLUC science and foster global collaborations, contributing to regional capacity-building as an added value. Additionally, the program hosts regular webinars led by PIs on topics such as agriculture, urban areas, land-use changes in conflict zones, and natural disaster hotspots (i.e., fires, droughts, and floods). Garik Gutman [NASA HQ—LCLUC Program Manager] presented updates on LCLUC research publications, journal special issues, and upcoming international meetings.
The remainder of this article summarizes the highlights of the 2024 LCLUC STM. The content is organized chronologically, with a section devoted to describing each day of the meeting and descriptive headers throughout. The full presentations from this meeting are available on the LCLUC meeting website.
Photo. A group picture of meeting participants on the first day of the 2024 LCLUC meeting in Gaithersburg, MD. Photo credit: Hotel staff (Marriott Washingtonian Center, Gaithersburg, MD) DAY ONE
The first day featured invited presentations, reports from LCLUC ST members funded through the LCLUC Research Opportunities in Space and Earth Sciences (ROSES) 2022 selections, and an overview of SARI. The day concluded with poster presentations and lightning talks highlighting recent results from ongoing LCLUC-related research.
Update from the LCLUC Program Manager
The meeting began with welcoming remarks from Garik Gutman, who provided an update on the program’s latest developments and achievements. He highlighted that the socioeconomic component is an integral part of most LCLUC projects. The program has recently expanded to include multisource land imaging, such as the ESA’s Copernicus Sentinel program, regional initiatives, and capacity-building efforts. He also underscored the importance of U.S. missions relevant to LCLUC, which produce spatially coarse resolution daily data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua and Terra platforms and the NASA–National Oceanic and Atmospheric Administration (NOAA) Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (Suomi NPP); spatially moderate resolution data every eight days from the NASA–USGS Landsat-8 (L8) and Landsat-9 (L9) satellites; and very high-resolution data from private companies, such as Planet Inc. and Maxar.
Gutman also discussed how LCLUC investigators are using data from missions on the International Space Station (ISS), e.g., ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS), Global Ecosystem Dynamics Investigation (GEDI), and Earth Surface Mineral Dust Source Investigation (EMIT). He noted the potential of radar observations from the recently launched international Surface Water and Ocean Topography (SWOT) mission – led by NASA and the Centre National d’Études Spatiales [French Space Agency] – and the upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission (planned for launch in 2025).
LCLUC in the Broader Context of NASA
Jack Kaye [ESD—Associate Director for Research] gave an update on ESD activities that reflected on NASA’s broad capabilities in Earth Science – emphasizing the agency’s unique role in both developing and utilizing cutting-edge technology. Unlike many other agencies, NASA’s scope spans technology development, research, data provision, and tool creation. Over the past 16 months, NASA has launched several significant missions, including SWOT, Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS), Tropospheric Emissions: Monitoring of Pollution (TEMPO), and Plankton, Aerosol, Cloud, ocean Ecosystem (PACE). This surge in satellite launches highlights NASA’s role in enhancing global observational capabilities. NASA also supports a diverse array of programs, including airborne campaigns and surface-based measurement networks. Initiatives aim to improve the involvement of minority-serving institutions and incorporate open science practices with a focus on enhancing inclusivity and expanding participation. The agency also emphasizes the importance of peer review and collaboration with international and community-based partners. Kaye highlighted NASA’s commitment to producing high-quality, actionable science while navigating financial and operational challenges. This commitment extends to addressing environmental and societal impacts through programs such as Earth Action and by fostering global collaboration.
Sid Ahmed Boukabara [ESD—Senior Program Scientist for Strategy] presented a detailed overview of NASA’s Earth Science to Action Strategy, which aims to increase the impact of Earth science in addressing global challenges. This strategy acknowledges the urgency of global changes, e.g., accelerating environmental shifts, understanding Earth’s interconnected systems, and developing scalable information. NASA’s mission focuses on observing and understanding the Earth system, delivering trusted information, and empowering resilience activities through advanced technologies, partnerships, and innovations. Key principles include amplifying impact through partnerships, engaging a diverse and inclusive workforce, balancing innovation with sustainability, encouraging cutting-edge capabilities, and ensuring robust and resilient processes. The strategy emphasizes collaboration across sectors and international partnerships to leverage Earth observations enhance the value of Earth science for decision-making and policy support. The strategy also highlights the role of land-cover and land-use change activities in supporting objectives and enhancing modeling capabilities.
Thomas Wagner [ESD—Associate Director for Earth Action] outlined NASA’s Earth Action initiative (formerly known as the Applications Program), which focuses on user-centered strategies to address global challenges, e.g., climate resilience, health, and ecological conservation. By integrating applied sciences and leveraging satellite data, the initiative aims to enhance Earth observation capabilities and connect scientific research with practical applications to meet societal needs. The strategy includes a virtuous cycle, where user feedback informs the development of future programs and missions, ensuring that research and technology are aligned with real-world needs. Additionally, Earth Action emphasizes public engagement by offering open-source models and data to enhance understanding and support decision making. Through multisector consortia and problem-solving teams, the initiative addresses urgent and broad-impact issues, fostering innovation and collaboration.
Updates from LCLUC PIs on 2022 ROSES Proposal Selections
Following the programmatic overview presentations, PIs presented updates on research results from LCLUC ROSES 2022 proposal selections. Gillian Galford [University of Vermont] presented on the socioeconomic and environmental dynamics of LCLUC in the Cerrado frontier of Brazil. She presented results from the three main objectives: developing LCLUC detection methods and datasets, characterizing major land-use transitions (LUTs), and understanding the drivers behind these transitions. The research employs remote-sensing and geostatistical methods to track changes, identify “hotspots” of activity, and understand the underlying motivations for land-use changes. The research aims to provide insights that can guide conservation efforts and promote sustainable land use in the region.
Gustavo Oliveira [Clark University] presented “Irrigation as Climate-Change Adaptation in the Cerrado Biome of Brazil.” This project aims to develop methods for analyzing LCLUC data and their socioeconomic impacts, examining the expansion of irrigated agriculture and creating models to inform policy on agrarian development and water regulations. Oliveira highlighted areas of significant deforestation and the rapid growth of irrigated agriculture in the study region – positioning Western Bahia as a model for irrigation in Brazil. He explained that the research outputs include software for time series analysis and publications on land change, contributing to the broader understanding of climate adaptation strategies in the region.
Grant Connette [Smithsonian Institution] presented “Can Improved Stakeholder Representation Prevent Human-caused Mangrove Loss in the Mesoamerican Reef Ecoregion?” He examined the factors contributing to mangrove loss in the Mesoamerican Reef (MAR) ecoregion. Through a combination of Earth observation data, socioeconomic analysis, and community engagement, Connette described how the study seeks to improve the effectiveness of protected areas and inform best practices for mangrove conservation in the MAR ecoregion.
Saurav Kumar [Arizona State University] presented his team’s work, “Exploring the Nexus between LCLUC, Socio-Economic Factors, and Water for a Vulnerable Arid U.S.–Mexico Transboundary Region.” Kumar explained that the project aims to understand how natural and human systems influence LCLUC when constrained by water availability. The data used in this project come from a combination of time series data, theoretical model output, and artificial intelligence techniques. The team also focuses on stakeholder engagement, recognizing the need for comprehensive identification and involvement in addressing complex water resource issues. Kumar explained that the study seeks to predict future LCLUC transitions, assess the theoretical models of different stakeholder groups, and identify policy-relevant leverage points for sustainable water management.
Abena Boatemaa Asare-Ansah [University of Maryland, College Park (UMD)] presented on “The Multisensor Mapping of Refugee Agricultural LCLUC Hotspots in Uganda.” She explained that this study focuses on mapping changes in cropland within refugee-hosting regions using satellite data and deep learning models. Asare-Ansah described how the first year involved evaluating existing cropland maps and initiating new classifications. Future work will refine these maps and connect cropland changes to specific refugee households, aiming to better understand the relationship between refugee populations, food aid, and agricultural practices.
Elsa Ordway [University of California, Los Angeles (UCLA)] discussed her team’s efforts toward “Disentangling Land-Use Change in Central Africa to Understand the Role of Local and Indigenous Communities in Forest Restoration and Conservation.” Ordway reported that the project focuses on mapping land cover and carbon emissions, analyzing the impact of conservation efforts, and exploring potential forest restoration opportunities. She emphasized that this research highlights the critical role of local indigenous communities in forest management and the unintended consequences of conservation projects on land use – see Photo 2.
Photo 2. Some residents of a village neighboring the Dja reserve – part of the dense rain forests that form Africa’s Congo Basin. Interviews and surveys among the area’s local and indigenous communities are used to gather information on forest restoration and conservation. Photo credit: Else Ordway (UCLA) Ordway also presented on the PAN-tropical investigation of BioGeochemistry and Ecological Adaptation (PANGEA), which aims to investigate the biogeochemistry and ecological adaptation of tropical forests that are crucial for global climate regulation and biodiversity. She explained that this study emphasizes the rapid changes occurring in tropical regions primarily due to deforestation and climate change. PANGEA seeks to answer key scientific questions about the vulnerability and resilience of these ecosystems, and how this information can inform climate adaptation, mitigation, and biodiversity conservation efforts.
The ARID Experiment
Andrew Feldman [NASA’s Goddard Space Flight Center (GSFC)] presented on the Adaptation and Response in Drylands (ARID) experiment, a field campaign focused on dryland ecosystems. He described how this project aims to understand the fundamental science of drylands, including water availability, land–atmosphere interactions, climate variability, carbon stocks, and land management. The study involves significant international collaboration and stakeholder engagement, with a particular focus on the Western U.S – see Figure 1. While this project is in planning stages, ongoing efforts will be made to engage with the scientific community, gather feedback, and refine its research themes.
Figure 1. The Adaptation and Response in Drylands (ARID) experiment focuses on studying the characteristics of dryland ecosystems, e.g., water availability, land–atmosphere interactions, climate variability, carbon stocks, and land management. While the experiment is global in scope, it has a focus on the Western U.S., with numerous site locations across the desert Southwest and some in the Pacific Northwest. Figure credit: Andrew Feldman (NASA/UMD) SARI Update and Related Projects
Krishna Vadrevu [NASA’s Marshall Space Flight Center] gave a comprehensive update on SARI, a regional initiative under the LCLUC program that addresses the critical needs of the South/Southeast Asia region by integrating remote sensing, natural sciences, engineering, and social sciences. His presentation covered the initiative’s background, various funded research projects, and their outputs. The diverse SARI projects include studies on forest degradation, agricultural transitions, food security, urbanization, and their environmental impacts. SARI has supported 35 research projects, engaging more than 400 scientists and over 200 institutions that result in significant scientific contributions, including nearly 450 publications, 16 special journal issues, and five books with two additional books pending publication. Vadrevu emphasized the importance of sustainable land use policies informed by LCLUC research and provided details on upcoming meetings. He concluded with information on three ongoing projects funded under the SARI synthesis solicitation – one in South Asia and two in Southeast Asia. Summaries of these projects are highlighted below.
David Skole [Michigan State University (MSU)] leads the SARI synthesis project that spans South Asian countries, with an emphasis on tree-based systems, particularly Trees Outside Forests (TOF). The primary objective is to synthesize existing research to better understand the patterns, drivers, and impacts of TOF on carbon emissions and removals and their role in supporting rural livelihoods. This research is crucial for informing climate change policy, particularly in the context of nature-based solutions and pathways to achieve net-zero emissions. The project combines empirical data with process-based research and policy models to support the development of sustainable landscapes. By integrating biophysical and socioeconomic data, the project team members aim to provide robust, evidence-based contributions to climate mitigation and adaptation strategies, ultimately guiding regional policy decisions.
Son Nghiem [NASA/Jet Propulsion Laboratory] discussed the interrelated dynamics of LCLUC and demographic changes in Southeast Asia under various developmental pressures and climate change. Nghiem explained that the study explores how these factors interact along the rural-to-urban continuum across regions in Cambodia, the Lao People’s Democratic Republic (Laos), Thailand, Vietnam, Malaysia, and parts of Indonesia. In rapidly urbanizing and agriculturally transitioning areas, physical and human feedback processes are becoming non-stationary, leading to unpredictable impacts that challenge traditional policymaking. The study aims to capture both physical patterns (e.g., land-use) and human (socioeconomic) fabrics, integrating these within a framework to assess whether the statistical properties of the time series measured during this study remain constant or change with time.
Peilei Fan [Tufts University] presented the project, “Decoding Land Transitions Across the Urban-Rural Continuums (URC): A Synthesis Study of Patterns, Drivers, and Socio-Environmental Impacts in Southeast Asia.” The project aims to synthesize knowledge through an interdisciplinary approach. It focuses on URCs in 19 cities across eight Southeast Asian countries. It investigates how global urban hierarchies, URC connectivity, and local policies influence land-use change and related ecosystem impacts. By integrating remote-sensing data with climate and ecological models and socioeconomic analysis, the project seeks to advance theoretical understanding of land transitions and provide valuable insights for both scientific research and policymaking.
Poster sessions
Following the presentations, participants gave lightning talks linked to 17 posters, which highlighted recent results from ongoing LCLUC projects and LCLUC-related research from the Future Investigators in NASA Earth and Space Science and Technology (FINESST) and the Inter-Disciplinary Research in Earth Science (IDS) programs. A reception followed. PDF versions of the posters can be accessed on the meeting website.
DAY TWO
The second day of the meeting continued with additional presentations from the LCLUC ROSES 2022 projects and updates from international programs. In addition, the attendees listened to presentations from NASA HQ and NASA Centers, describing various initiatives and data products, such as from the Socio-Economic Data and Applications Center (SEDAC).
Updates from LCLUC PIs on ROSES 2022 Proposal Selections (cont.)
Cascade Tuholske [Montana State University] presented “Modulation of Climate Risks Due to Urban and Agricultural Land Uses in the Arabian Peninsula.” Tuholske explained how this project aims to map LCLUC, assess the effects on extreme humid heat, and characterize the socio-demographics of exposure to heat stress – see Figure 2. Key findings include evidence of a rapid increase in dangerously hot and humid weather – particularly in urban and agricultural areas – and the importance of remote sensing in studying these interactions. Future steps will involve using climate models to predict the effects of LCLUC on heat waves, water stress, and dust storms.
Figure 2. The Ghana Climate Hazards Center Coupled Model Intercomparison Project (CMIP) Phase 6 climate projection dataset map of temperatures exceeding 41 °C (106 °F) [left], future climate projection (SSP) for 2050 [middle], and the difference between the two [right]. Figure credit: From a 2024 paper in the journal Scientific Data Monika Tomaszewska [MSU] provided details on the project, “Institutional Forcings on Agricultural Landscapes in Post-Socialist Europe: Diachronic Hotspot Analysis of Common Agricultural Policy Influences on Agricultural Land Use in Romania 2002–2024.” She explained that the project focuses on how the EU’s common agricultural policy (CAP) programs (e.g., livelihood payments, environmental protections, and rural development projects) have influenced land use changes – see Figure 3. Tomaszewska summarized key findings from the study, which indicates significant changes in crop composition and spatial patterns – with notable decreases in maize and rapeseed areas between 2018 and 2023. She stated that the study aims to understand the diffusion of innovation through CAP enrollments and payments and their impact on agricultural practices in Romania.
Figure 3. Dense time series of Harmonized Landsat Sentinel-2 (HLS) data at 30-m (98-ft) resolution revealing winter and summer crops across Southern Romania in 2018 [top] and 2023 [bottom]. Magenta areas indicate forests, green areas represent summer crops (e.g., maize, sunflower, soy), and blue areas show winter crops (e.g., wheat, barley, rapeseed). Yellow areas indicate very low spring Enhanced Vegetative Index-2 due to snow or persistent clouds at higher elevations. Figure credit: Geoff Henebry (MSU) Xiao-Peng Song [UMD] presented “Energy LCLUC Hotspot: Characterizing the Dynamics of Energy Land Use and Assessing Environmental Impacts in the Permian Basin.” He said that the project aims to assess the environmental impacts of energy-related land-cover and land-use change in the region. Song showed the output from the project, which includes high-resolution LCLUC and geohazard maps that enhance understanding of energy-related environmental impacts and contribute to NASA’s LCLUC program. Results from this study are expected to inform decision makers on societal issues related to oil and gas production and its effects on the environment.
International Partner Program Updates
The International Partners Programs session featured four presentations. Ariane DeBremond [UMD] focused on the Global Land Programme (GLP), which is a comprehensive, global initiative dedicated to understanding and addressing changes in land systems and their implications for sustainability and justice. DeBremond described the program, which coordinates research on land use, land management, and land cover changes,. She emphasized land systems as social-ecological systems and fostering interdisciplinary collaboration to develop solutions for global challenges. The research agenda includes descriptive, normative, and transformative aspects, aimed at characterizing land systems, identifying causes and impacts of changes, and creating pathways for sustainability transformations. GLP also emphasizes the need for new remote-sensing data, improved generalizability, and addressing geographic biases in land system science. Recent program activities include developing a new science plan, identifying emerging themes, and organizing open science meetings. DeBremond ended by announcing that the next GLP meeting is scheduled for November 2024 in Oaxaca, Mexico.
David Skole outlined the efforts of the Global Observations of Forest and Land Cover Dynamics (GOFC–GOLD) Land Implementation Team (LC–IT) in advancing methods and tools for global land cover measurements and monitoring. The LC–IT is primarily focused on developing and evaluating space-borne and in-situ observation techniques to support global change research, forest inventories, and international policy. Skole highlighted the importance of regional networks in coordinating the use of Earth Observation (EO) data, facilitating capacity building, and addressing regional concerns through workshops and partnerships. He also discussed the changing role of EO in responding to climate change and sustainability challenges, emphasizing the need for high-integrity carbon finance and the integration of new data and technologies to support nature-based solutions. He concluded with insights into the BeZero Carbon Rating system, which evaluates carbon efficacy across various projects worldwide and highlights the need for reliable ratings to ensure the credibility of carbon markets.
David Roy [MSU] detailed the work of the GOFC-GOLD Fire Implementation Team, which focuses on improving the accuracy and utility of satellite-based fire monitoring. The team is working to enhance global fire observation requirements, particularly for small fires and those with low Fire Radiative Power, which are often underrepresented in current datasets. Roy emphasized the need for continuous development and validation of satellite-derived fire products, including a robust quality assurance framework. The team advocates for standardized methods to validate fire data and harmonize information from various satellite missions to create a more comprehensive global fire record. Roy also highlighted the need for new satellite missions with advanced fire detection capabilities and the use of machine learning to improve fire modeling and data accessibility to provide more accurate and actionable data for global change research and fire management.
Alexandra Tyukavina [UMD] presented on Land Product Validation (LPV) subgroup of the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration and Validation (WGCV). The LPV is focused on updating land cover validation guidelines, incorporating new literature and data from the past 20 years. Tyukavina emphasized the need for rigorous accuracy assessment in land cover studies, highlighting the need to improve methods and reporting as well as accuracy. She also discussed the outcomes of a NASA-sponsored joint cropland validation workshop co-hosted by CEOS and GEOGLAM, which aimed to set minimum requirements for cropland validation and develop community guidelines. Tyukavina concluded her presentation with a call for reviewers to assist in updating these guidelines.
LCLUC Program Crosswalks
The Crosswalks, a LCLUC program, featured six presentations. Frederick Policelli [GSFC] presented on the CSDA program, which supports the ESD by acquiring and utilizing commercial, small-satellite data to enhance Earth science research. Launched as a pilot in November 2017, the program became a sustained effort in 2020, transitioning from Blanket Purchase Agreements to Indefinite-Delivery, Indefinite-Quantity contracts for better data management. The CSDA also introduced a tiered End User License Agreement for data usage and focuses on long-term data preservation and broad access. Policelli described how program participants collaborate with U.S. government agencies and international partners, adhering to the 2003 U.S. Commercial Remote Sensing Policy. He discussed recent developments, which include onboarding new commercial data vendors and expanding the program’s capabilities.
Jacqueline Le Moigne [ESTO] provided details on NASA’s Earth Science Technology Office’s (ESTO), Advanced Information Systems Technology (AIST) program and its development of Earth System Digital Twins (ESDT). She explained that ESDTs are intended to be dynamic, interactive systems that replicate the Earth’s past and current states, forecast future states, and assess hypothetical scenarios. They should integrate continuous data from diverse sources, utilize advanced computational and visualization capabilities, and rely heavily on machine learning for data fusion, super-resolution, and causal reasoning. Le Moigne added that ESDTs enhance our understanding of Earth systems, their interactions, and applications, particularly in the context of climate change. She highlighted various use cases (e.g., wildfires, ocean carbon processes, the water cycle, and coastal zones) demonstrating the potential of ESDTs to support decision-making and policy planning.
Roger Pielke [University of Colorado, Boulder] discussed the critical need to incorporate land-use data into weather forecasts and climate models to improve understanding of and address climate change. He emphasized the distinction between weather and climate, explaining that climate is dynamic and influenced by both natural and human factors. Pielke critiqued the focus of the approach of the Intergovernmental Panel on Climate Change (IPCC) on carbon dioxide (CO2) emissions as the primary driver of climate change, arguing that LCLUC should be considered as an equally important climate forcing. He illustrated how changes in land cover, such as in Florida and the Great Plains, can significantly impact local and regional climate, sometimes rivaling the effects of CO2. Pielke called for integrating land-use data into climate models across all scales, suggesting that NASA’s programs could lead in this effort to enhance climate forecasting and policymaking.
Brad Doorn [NASA HQ—Program Manager, NASA’s Earth Action Agriculture Program] presented an overview of the program’s status and strategic direction. He emphasized the importance of partnerships, particularly with the USDA, in advancing initiatives like Climate Smart Agriculture. NASA’s role in global food security and supply chain monitoring was highlighted through the activities of NASA’s Harvest and Acres, agriculture and food security consortia, both of which enable collaborative research to codevelop data-driven products and services and enhance predictive models to meet end-user needs. Doorn stressed the need for strong collaborations with the private sector, non-governmental organizations, and other space agencies to accelerate the development of agricultural solutions. He also highlighted the significance of integrating NASA’s capabilities in weather, water, and crop monitoring systems to provide comprehensive tools for stakeholders. Doorn explained that the program aims to bridge gaps between NASA’s observations and practical applications in agriculture, leveraging tools, such as the Global Crop Monitor, and integrating predictive capabilities for improved future planning.
Rachel Paseka [NASA HQ] presented on NASA’s open science funding opportunities with a focus on the ROSES F.7 element, which supports widely used open-source software tools, frameworks, and libraries within the NASA science community. She described the program, which offers two types of awards: Foundational Awards for projects that impact multiple divisions and Sustainment Awards for those affecting one or more divisions of the Science Mission Directorate. Foundational Awards are cooperative agreements lasting up to five years. Sustainment Awards can be grants or cooperative agreements lasting up to three years. Paseka also emphasized the importance of open science, highlighting various tools, data challenges, and collaborative efforts, including artificial intelligence (AI) models for tasks (e.g., flood detection and burn scar mapping). She concluded with an introduction of the Science Explorer (SciX) digital library and the Science Discovery Engine, both of which facilitate access to NASA’s open science data and research.
Alex de Sherbinin [SocioEconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN), Columbia University] provided an overview of datasets and research related to climate risk, social vulnerability, and environmental change. de Sherbinin outlined the SocioEconomic Data and Applications Center (SEDAC) mission areas, which include population land-use and emissions, mitigation, vulnerability and adaptation, hazard vulnerability assessment, poverty and food security, and environment and sustainable development. He highlighted key SEDAC datasets (e.g., LCLUC and Urban and Settlements Datasets) and their use in analyses. SEDAC data and services are accessible via tools, such as Global Forest Watch and Google Earth Engine. de Sherbinin also covered recent research citations, the impact of studies on biodiversity and urban changes, and SEDAC’s contributions to open science and training initiatives. He also emphasized the importance of integrating remote sensing data with social and health sciences for comprehensive environmental analysis.
DAY THREE
The third day of the meeting focused on satellite missions and data product updates and a LCLUC program feedback session on emerging science directions.
Landsat Mission Updates
Chris Neigh [GSFC—Landsat 9 Project Scientist] provided an overview of the status of the current Landsat missions that are in orbit (L7, L8, and L9]. He reported that all L9 Level-1 requirements have now been met and exceeded. OLI-2, the updated sensor for L9, transmits data at 14 bits compared to the L8 12-bit transmission, allowing for finer data resolution. OLI-2 offers a 25–30% improvement in the signal-to-noise ratio for dark targets, leading to enhanced data quality. The Thermal Infrared Sensor on L9 (TIRS-2) has also been improved over TIRS on L7 and L8, to mitigate stray light issues, enhancing the reliability of thermal data. Additionally, OLI-2 supports better atmospheric corrections through split window techniques using both of its channels. With two operational observatories, L8 and L9, equipped with advanced radiometry, data is provided every eight days, ensuring consistent and precise Earth observation capabilities. The radiometric and geometric performance of L9 is excellent from a Calibration/Validation (Cal/Val) perspective.
While all systems are nominal for L8 and L9, Neigh reported that L7 is nearing the end of its operational life. He stated that the Landsat Cal/Val team will continue its work for the duration of the mission as a joint USGS–NASA effort. He also highlighted the need for a global Analysis Ready Data framework and the development of proxy and simulated datasets to support the next generation of Landsat missions. Neigh ended by reporting that opportunities exist for scientists to share their high-profile, Landsat-based research through the program’s communications team.
Bruce Cook [GSFC—Landsat Next Project Scientist] provided an update on the Landsat Next mission, an ambitious extension of the Landsat Program under the Sustainable Land Imaging (SLI) program, which will be a joint effort by NASA and the USGS. Cook explained that this mission aims to greatly enhance Earth observation by launching three identical satellites, each equipped with advanced Visible Shortwave Infrared (VSWIR) and Thermal Infrared (TIR) instruments. He described how the Landsat Next constellation will improve the temporal revisit time to six days – a major advancement from the 16-day interval of L8 and L9. In order to achieve this revisit time improvement, each satellite will carry a Landsat Next Instrument Suite (LandIS) that will capture 21 VSWIR and five thermal infrared bands, which will have better spatial resolutions compared to previous Landsat missions. It will have ground sample distances of 10–20 m (33–66 ft) for visible, near infrared, and shortwave infrared bands and 60 m (197 ft) for atmospheric visible SWIR and thermal infrared bands.
Cook continued with details on LandIS, stating that Landsat Next will record 26 bands in total – 15 more than the currently active L8 and L9 missions. The LandIS will include refined versions of the 11 Landsat “heritage” bands to ensure continuity, five new bands similar to the ESA’s Copernicus Sentinel-2 mission for improved data integration, and 10 new spectral bands to meet evolving user needs and applications. Additionally, Landsat Next will have a water vapor band for atmospheric correction without needing data from other satellites. LandIS will collect all bands nearly simultaneously, reducing illumination variations between bands and aiding in cloud detection and the generation of multispectral surface reflectance and thermal emission products (e.g., evapotranspiration).
Cook said that Landsat Next is in Phase A of its mission life cycle. The current focus is on defining science requirements and converting them into specific hardware and system designs. He said that this phase is crucial for setting up the subsequent phases. Phase B will involve preliminary design and technology completion, and later phases leading to the final design, fabrication, and launch of the satellites. He ended by emphasizing that the introduction of a new reference system and a lower orbit will further enhance the satellites’ ability to capture high-quality data, leading to a significant advancement in Earth observation technology.
Harmonized Landsat–Sentinel Project Update
Junchang Ju [GSFC] discussed the Harmonized Landsat Sentinel-2 (HLS) project, which aims to integrate data from the L8, L9, Sentinel-2A, and Sentinel-2B satellites for more frequent and detailed Earth observations. Currently the MODIS climate modeling grid data is used for atmospheric correction – see Figure 4. The newer HLS version will use VIIRS-based water vapor and ozone fields instead of MODIS data for atmospheric correction using the land surface reflectance code. Ju explained how HLS adopts the Military Grid Reference System used by Sentinel-2. HLS V2.0 corrects a mistake in view angle normalization of earlier versions (V1.3 and V1.4). Atmospherically corrected data from Hyperion (an instrument on NASA’s Earth Observing–1 extended mission) is used to make bandpass adjustments. A temporally complete global HLS V2.0 dataset has been available since August 2023. He also highlighted the availability and access of HLS data through various platforms – e.g., EarthData and WorldView, in Amazon Web Services and the project’s future plans, such as enhancing vegetation indices, cloud mask improvements, and 10-m (33-ft) improved resolution product.
Figure 4. Sentinel-2B image over the Baltimore-Washington area on April 7, 2022 [left]. Example true color images of top of atmospheric reflectance and the corresponding HLS surface reflectance are shown [right]. The atmospheric ancillary data used in the surface reflectance derivation was from the MODIS Climate Modeling Grid (CMG) data before the transition to VIIRS was implemented. Figure Credit: Junchang Ju (GSFC) NISAR Update
Gerald Bawden [NASA HQ—NISAR Program Scientist] delivered a presentation about the NISAR mission, which is a collaborative effort between NASA and the ISRO. He explained that NISAR will be a dual-frequency Synthetic Aperture Radar satellite using 24-cm (9-in) L-band and 10-cm (4-in) S-band radar frequencies. This dual-frequency approach will enable high-resolution imaging of Earth’s surface, offering near-global land and ice coverage with a 12-day repeat cycle for interferometry and approximately 6-day coverage using both ascending and descending orbits. The mission’s goals include providing valuable data to understand and manage climate variability, carbon dynamics, and catastrophic events (e.g., earthquakes). Specific applications include monitoring deformation, measuring ice sheet velocities, observing sea-ice deformation, and assessing biomass and crop disturbances. Bawden discussed NISAR’s data products, which will include raw radar data (Level-0) and geocoded single-look complex images and multi-look interferograms (Level-2). He stated that these data products will be crucial for various research and practical applications, including ecological forecasting, wildfire management, resource management, and disaster response. NISAR’s data will be openly accessible to the global scientific community through the Alaska Satellite Facility Data Active Archive Center. Initially planned for early 2024, the NISAR launch has been delayed to 2025. Bawden reported that NISAR will undergo a three-month commissioning phase after launch – before starting science operations. He also emphasized NASA’s commitment to open science, with NISAR’s data processing software and algorithms being made available as open-source tools, accompanied by training resources to facilitate their use.
Land Surface Disturbance Alert Classification System Update
Matthew Hansen [UMD] focused on the Land Surface Disturbance Alert (DIST-ALERT) classification system, designed for near-real-time global vegetation extent and loss mapping. He described the DIST-ALERT system, which uses HLS data, combining inputs from L8, L9, Sentinel-2A, and -2B to achieve a high-revisit rate of approximately 2–3 days at a 30-m (98-ft) resolution. DIST-ALERT operates with a primary algorithm that tracks vegetation loss through time-series analysis of fractional vegetation cover (FVC) and a secondary algorithm that detects general spectral anomalies. The system integrates drone data from various biomes to build a k-nearest neighbors model that is applied globally to predict FVC at the HLS-pixel scale. Hansen explained that DIST-ALERT monitors disturbances by comparing current vegetation fraction against a seasonal baseline, capturing changes such as forest fires, logging, mining, urban expansion, drought, and land conversion. He concluded by highlighting some case studies, including analysis of forest fires in Quebec, Canada, logging in the Republic of Congo, and gold mining in Ghana. He also said that the team released an improved version (V1) in March 2024, following a provisional release (V0) that was operational from February 2023 to February 2024.
State of LCLUC Report
Chris Justice [UMD—LCLUC Program Scientist] provided comments on the current state of the LCLUC program, followed by an open discussion to gather feedback. He emphasized the need for PI’s to effectively communicate their work to the broader community and highlighted the recent LCLUC initiative to create policy-oriented briefs based on research results, demonstrating its relevance to the Earth Science to Action Strategy. Justice acknowledged that challenges lie ahead for the LCLUC program – particularly considering the anticipated resource constraints in the coming year. He noted that the program plans to strengthen its position by forming partnerships with other ESD program elements and increasing involvement across NASA Centers. The program is also emphasizing the use of advanced remote sensing technologies, AI, and deep-learning data analytics, to deliver more precise and actionable insights into land dynamics contributing to better decision-making and policy development in land management and environmental conservation.
Justice also suggested the need for better integration between different scientific fields (i.e., between LCLUC and climatology, climate mitigation, and adaptation) to enhance interdisciplinary research and collaboration. He cited the current program solicitation (e.g., ROSES 2024 A.2) as an example of this integration and the recent IDS solicitation in ROSES 2022 A.28. Justice reminded participants that the solicitation focuses on collaborating with AIST to develop Land Digital Twins that incorporate available remote sensing data time series as non-static boundary conditions in weather forecast and climate models. Improvements in model forecasts and climate simulations will highlight the importance of accounting for LCLUC in these models – advancing the goals of the IPCC.
Conclusion
Garik Gutman concluded the meeting by summarizing key points raised about data management strategies, educational outreach efforts, LCLUC research outside the U.S., and current and upcoming projects. He highlighted that the program requires PIs to provide metadata for data products generated under NASA-funded projects, ensuring these resources are freely and openly accessible to the scientific community. Gutman acknowledged the challenges of conducting research and fieldwork in foreign countries due to funding and, at times, security issues, but praised the PIs for their efforts to expand the program globally. He also noted the program’s outreach efforts, which include engaging PIs, collaborators, and interested parties through its website, newsletters, webinars, and policy briefs. LCLUC emphasizes the importance of effectively communicating research results and encourages researchers to share their findings via NASA’s Earth Sciences Research Results Portal to enhance visibility among leadership and communication teams.
Gutman ended his presentation by providing details about forthcoming meetings in the Philippines, South Korea, and Turkey, as well as workshops scheduled for 2024, which will involve various stakeholders in the LCLUC community and are vital for fostering collaboration and advancing the program’s goals. He concluded by recognizing the contributions of long-term supporters and collaborators, reaffirming the program’s ongoing commitment to advancing Earth observation and land-use science.
Overall, the 2024 LCLUC meeting was highly successful in fostering collaboration among researchers and providing valuable updates on recent developments in LCLUC research. The exchange of ideas, integration of new data products, and discussions on emerging science directions were particularly impactful, contributing to the advancement of the LCLUC program’s goals.
Krishna Vadrevu
NASA’s Marshall Space Flight Center
krishna.p.vadrevu@nasa.gov
Meghavi Prashnani
University of Maryland, College Park
meghavi@umd.edu
Christopher Justice
University of Maryland, College Park
cjustice@umd.edu
Garik Gutman
NASA Headquarters
ggutman@nasa.gov
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