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Summary of the Second OMI–TROPOMI Science Team Meeting


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Summary of the Second OMI–TROPOMI Science Team Meeting

Introduction

The second joint Ozone Monitoring Instrument (OMI)–TROPOspheric Monitoring Instrument (TROPOMI) Science Team (ST) meeting was held June 3–6, 2024. The meeting used a hybrid format, with the in-person meeting hosted at the National Center for Atmospheric Research (NCAR) in Boulder, CO. This was the first OMI meeting to offer virtual participation since the COVID-19 travel restrictions. Combining the onsite and virtual attendees, the meeting drew 125 participants – see Photo.

OMI flies on NASA’s Earth Observing System (EOS) Aura platform, launched July 15, 2004. TROPOMI flies on the European Space Agency’s (ESA)–Copernicus Sentinel-5 Precursor platform. OMI has collected nearly 20 years of data and TROPOMI now has amassed 5 years of data. 

Meeting content was organized around the following four objectives:

  • discussion of the final reprocessing of OMI data (called Collection 4) and of data preservation;
  • discussion of OMI data continuity and enhancements using TROPOMI measurements;
  • development of unique TROPOMI products [e.g., methane (CH4)], applications (e.g., tracking emissions – and using them as indicators of socioeconomic and military activities), and new focus regions (e.g., Africa); and
  • leverage synergies between atmospheric composition (AC) and greenhouse gas (GHG) missions, which form the international constellation of low Earth orbit (LEO) and geostationary orbit (GEO) satellites.

The remainder of this article summarizes the highlights from each day of the meeting.

OMIT-TROPOMI Science Team Meeting Group Photo
Photo. Group photo of the in-person participants at the OMI–TROPOMI Science Team meeting.
Photo credit: Shaun Bush/NCAR’s Atmospheric Chemistry Observations & Modeling

DAY ONE

The topics covered on the first day of the meeting included OMI instrument performance, calibration, final Collection 4 reprocessing, and plans for data preservation.

OMI and Data Products Update

Pieternel Levelt [Royal Netherlands Meteorological Institute (KNMI)—OMI Principal Investigator (PI) and NCAR’s Atmospheric Chemistry Observations & Modeling (ACOM) Laboratory—Director] began her presentation by dedicating the meeting to the memory of Johan de Vries, whose untimely death came as a shock to the OMI and TROPOMI teams – see In Memoriam: Johan de Vries for a celebration of his accomplishments and contributions to the OMI-TROPOMI team. She then went on to give a status update on OMI, which is one of two currently operating instruments on EOS Aura [the other being the Microwave Limb Sounder (MLS)]. OMI is the longest operating and stable ultraviolet–visible (UV-VIS) spectrometer. It continues to “age gracefully” thanks to its design, contamination control measures undertaken after the launch, and stable optical bench temperature. Lessons learned during integration of OMI on the Aura spacecraft (e.g., provide additional charged couple device shielding) and operations (i.e., monitor partial Earth-view port blockages) guided the development and operations of the follow-on TROPOMI mission.

Continued monitoring of OMI performance is crucial for extending science- and trend-quality OMI records to the end of the Aura mission (currently expected in 2026). Antje Ludewig [KNMI] described the new OMI Level-1B (L1B) processor (Collection 4), which is based on TROPOMI data flow and optimized calibrations. The processor has been transferred to the U.S. OMI ST, led by Joanna Joiner [NASA’s Goddard Space Flight Center (GSFC)]. Matthew Bandel [Science Systems and Applications, Inc. (SSAI)] described NASA’s new OMI monitoring tools.

Sergey Marchenko [SSAI] discussed OMI daily spectral solar irradiance (SSI) data, which are used for monitoring solar activity and can be compared with the dedicated Total and Spectral Solar Irradiance Sensor (TSIS-1) on the International Space Station. Continuation of OMI measurements will allow comparisons with the upcoming NASA TSIS-2 mission. Antje Inness [European Centre for Medium-range Weather Forecasts (ECMWF)] described operational assimilation of OMI and TROPOMI near-real time data into the European Copernicus Atmosphere Monitoring Service (CAMS) daily analysis/forecast and re-analysis – see Figure 1.

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In Memoriam: Johan de Vries

Johan de Vries In Memoriam Photo
Johan de Vries
June 10, 1956 – May 8, 2024

Johan de Vries [Airbus Netherlands—Senior Specialist Remote Sensing] passed away suddenly on May 8, 2024, after a distinguished career. As a member of the Ozone Monitoring Instrument (OMI)–TROPOspheric Monitoring Instrument (TROPOMI) program, Johan conceptualized the idea of using a two-dimensional (2D) charged couple detector (CCD) for the OMI imaging spectrometer. This “push-broom” design led to high-spatial resolution spectra combined with high-spatial resolution and daily global coverage capability. His pioneering design for OMI has now been repeated on several other U.S. and international atmospheric composition measuring instruments – in both low and geostationary orbits – that are either in orbit or planned for launch soon. This achievement ensures that Johan’s legacy will live on for many years to come as these push-broom Earth observing spectrometers result in unprecedented data for environmental research and applications. The OMI and TROPOMI teams express their deepest condolences to de Vries family and colleagues over this loss. 

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OMI–TROPOMI Figure 1
Figure 1. An example of TROPOMI pixel nitrogen dioxide (NO2) observations over Europe on September 8, 2018 [top] and the corresponding super observations [bottom] for a model grid of 0.5 x 0.5o. Cloudy locations are colored grey. TROPOMI super observations are tested for use in the European Centre for Medium Range Weather Forecasting (ECMWF) Copernicus Atmosphere Monitoring Service (CAMS) data assimilation framework and will also be used for combined OMI–TROPOMI gridded datasets.
Figure credit: reprinted from a 2024 paper posted on EGUSphere.

Updates on OMI and TROPOMI Level-2 Data Products

The U.S. and Netherlands OMI STs continue to collaborate closely on reprocessing and improving OMI and TROPOMI L2 science products. During the meeting, one or more presenters reported on each product, which are described in the paragraphs that follow.

Serena Di Pede [KNMI] discussed the latest algorithm updates to the Collection 4 OMI Total Column Ozone (O3) product, which is derived using differential absorption spectroscopy (DOAS). She compared results from the new algorithm with the previous Collection 3 and with both the TROPOMI and OMI NASA O3 total column (Collection 3) algorithms. Collection 4 improved on previous versions by reducing the retrieval fit error and the along-track stripes of the product.

Juseon “Sunny” Bak and Xiong Liu [both from Smithsonian Astrophysical Observatory (SAO)] gave updates on the status of the Collection 4 O3 profile products.

Lok Lamsal [GSFC/University of Maryland, Baltimore County (UMBC)] and Henk Eskes [KNMI] compared Collection 3 and Collection 4 of the nitrogen dioxide (NO2) products.  

Zolal Ayzpour [SAO] discussed the status of the OMI Collection 4 formaldehyde (HCHO) product.

Hyeong-Ahn Kwon [SAO] presented a poster that updated the Glyoxal product.

Omar Torres [GSFC] and Changwoo Ahn [GSFC/SSAI] presented regional trend analyses using the re-processed OMI Collection 4 absorbing aerosol product – see Figure 2.

OMI–TROPOMI Figure 2
Figure 2. Reprocessed OMI records (from Collection 4) of monthly average aerosol optical depth (AOD) at 388 nm derived from the OMI aerosol algorithm (OMAERUV) over Western North America (WNA): 30°N–50°N, 110°W–128°W) [top] and over Eastern China (EC): 25°N–43°N, 112°E–124°E) [bottom]. A repeatable annual cycle over WNA occurred with autumn minimum at around 0.1 and a spring maximum in the vicinity of 0.4 during the 2005–2016 period. After 2017 much larger AOD maxima in the late summer are associated with wildfire smoke occurrence. Over EC (bottom) the 2005–2014 AOD record depicts a large spring maxima (0.7 and larger) due to long-range transport of dust and secondary pollution aerosols followed by late autumn minima (around 0.3). A significant AOD decrease is observed starting in 2015 with reduced minimum and maximum values to about 0.2 and 0.5 respectively. The drastic change in AOD load over this region is associated with pollution control measures enacted over the last decade.
Figure credit: Changwoo Ahn/GSFC/SSAI and Omar Torres/GSFC

Updates on EOS Synergy Products

Several presenters and posters during the meeting gave updates on EOS synergy products, where OMI data are combined with data from another instrument on one of the EOS flagships. These are described below.

Brad Fisher [SSAI] presented a poster on the Joint OMI–Moderate Resolution Imaging Spectroradiometer (MODIS) cloud products.

Wenhan Qin [GSFC/SSAI] presented a poster on the MODIS–OMI Geometry Dependent Lambertian Equivalent Surface Reflectivity (GLER) product.

Jerry Ziemke [GSFC and Morgan State University (MSU)] presented on the OMI–MLS Tropospheric Ozone product that showed post-COVID tropospheric O3 levels measured using this product, which are consistent with similar measurements obtained using other satellite O3 data – see Figure 3.

OMI–TROPOMI Figure 3
Figure 3. Anomaly maps of merged tropospheric column O3 (TCO) satellite data (Dobson Units) for spring–summer 2020–2023. In this context, an anomaly is defined as deseasonalized O3 data. The anomaly maps are derived by first calculating seasonal climatology maps for 2016–2019 (i.e., pre-COVID pandemic) and then subtracting these climatology maps from the entire data record. 
Note: The sensors used in this analysis include: the Ozone Mapping and Profiler Suite (OMPS)/ Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) and Cross-track Infrared Sounder (CrIS) on the Joint Polar Satellite System (JPSS) missions, which currently include the joint NASA–NOAA Suomi National Polar-orbiting Partnership (Suomi NPP), NOAA-20, and NOAA-21; the Earth Polychromatic Imaging Camera (EPIC)/MERRA-2 on the Deep Space Climate Observatory (DSCOVR); the Ozone Monitoring Instrument (OMI) and Microwave Limb Sounder (MLS), both on EOS Aura; the Infrared Atmospheric Sounding Interferometer (IASI)/ Fast Optimal Retrievals on Layers (FORLI), IASI/SOftware for Fast Retrievals of IASI Data (SOFRID), and IASI/Global Ozone Monitoring Experiment–2 (GOME2). IASI flies on the European MetOp-A, -B, and -C missions. The OMPS/MERRA-2 and EPIC/MERRA-2 products subtract coincident MERRA-2 stratospheric column O3 from total O3 to derive tropospheric column O3.
Figure credit: Jerry Ziemke/GSFC and Morgan State University (MSU) 

Updates on Multisatellite Climate Data Records

The OMI ST also discussed refining and analyzing multisatellite climate data records (CDRs) that have been processed with consistent algorithms. Several presenters reported on this work, who are mentioned below.

Jenny Stavrakou [Koninklijk Belgisch Instituut voor Ruimte-Aeronomie, Royal Belgian Institute for Space Aeronomy (BIRA–IASB)], reported on work focusing on the OMI and TROPOMI HCHO CDR and Huan Yu [BIRA–IASB)] reported harmonized OMI and TROPOMI cloud height datasets based on improved O2-O2 absorption retrieval algorithm.

Lok Lamsal [GSFC/UMBC, Goddard Earth Sciences Technology and Research (GESTAR) II], Henk Eskes, and Pepijn Veefkind [KNMI] reported on the OMI and TROPOMI NO2 CDRs – see Figure 4

Si-Wan Kim [Yonsei University, South Korea] reported on OMI and TROPOMI long-term NO2 trends.

OMI–TROPOMI Figure 4
Figure 4. OMI nitrogen dioxide (NO2) time series bridging the first GOME mission (which flew on the European Remote Sensing Satellite–2 (ERS–2) from 1995–2011 with limited coverage after 2003) and measurements from the two currently operating missions – OMI (2004–present) and TROPOMI (2017–present) – offer consistent climate data records that allow for studying long-term changes. This example shows tropospheric NO2 column time series from three instruments over Phoenix, AZ. The overlap between the OMI and TROPOMI missions allows for intercomparison between the two, which is crucial to avoid continuity-gaps in multi-instrument time series. The ERS-2 (GOME) had a morning equator crossing time (10:30 AM), while Aura (OMI) and Metop (TROPOMI) have afternoon equator crossing times of 1:45 PM and 1:30 PM respectively.
Figure credit: Lok Lamsal/GSFC/University of Maryland, Baltimore County (UMBC)

Update on Aura’s Drifting Orbit

Bryan Duncan [GSFC—Aura Project Scientist] closed out the first day with a presentation summarizing predictions of Aura’s drifting orbit. Overall, the impact of Aura’s drift is expected to be minor, and the OMI and MLS teams will be able to maintain science quality data for most data products. He thanked the OMI/TROPOMI ST and user community for expressing their strong support for continuing Aura observations until the end of the Aura mission in mid–2026.

DAY TWO

The second day of the meeting focused on current and upcoming LEO and GEO Atmospheric Composition (AC) missions.

TROPOMI Mission and Data Product Updates

Veefkind presented an update on the TROPOMI mission, which provides continuation and enhancements for all OMI products. Tobias Borssdorf [Stichting Ruimte Onderzoek Nederland (SRON), or Netherlands Institute for Space Research] explained how TROPOMI, with its innovative shortwave infrared (SWIR) spectrometer, measures CH4 and carbon monoxide (CO). This approach continues measurements that began by the Measurements of Pollution in the Troposphere (MOPITT) instrument on Terra.

Hiren Jethva [NASA Airborne Science Program] and Torres presented new TROPOMI near-UV aerosol productsincluding a new aerosol layer optical centroid height product, which takes advantage of the TROPOMI extended spectral range – see Figure 5.

OMI–TROPOMI Figure 5
Figure 5. Global gridded (0.10° x 0.10°) composite map of aerosol layer optical centroid height (AH) retrieved from TROPOMI O2-B band observations from May–September 2023.
Figure credit: Hiren Jethva/NASA Airborne Science Program

GEMS–TEMPO–Sentinel-4 (UVN): A Geostationary Air Quality Constellation

TROPOMI global observations serve as a de facto calibration standard used to homogenize a new constellation of three missions that will provide AC observations for most of the Northern Hemisphere from GEO. Two of the three constellation members are already in orbit. Jhoon Kim [Yonsei University—PI] discussed the Geostationary Environmental Monitoring Spectrometer (GEMS), launched on February 19, 2020 aboard the Republic of Korea’s GEO-KOMPSAT-2B satellite. It is making GEO AC measurements over Asia. The GEMS team is working on validating measurements of NOdiurnal variations using ground-based measurements from the PANDORA Global Network over Asia and aircraft measurements from the ASIA–AQ field campaign.

Liu discussed NASA’s Tropospheric Emission Monitoring of Pollution (TEMPO) spectrometer, launched on April 7, 2023, aboard a commercial INTELSAT 40E satellite. From its GEO vantage point, TEMPO can observe the Continental U.S., Southern Canada, Mexico, and the coastal waters of the Northwestern Atlantic and Northeastern Pacific oceans.

Gonzales Abad [SAO] presented the first measurements from TEMPO. He explained that TEMPO’s design is similar to GEMS, but GEMS includes an additional visible and near infrared (VNIR) spectral channel (540–740 nm) to measure tropospheric O3, O2, and water vapor (H2Ov). TEMPO can perform optimized morning scans, twilight scans, and scans with high temporal resolution (5–10 minutes) over selected regions. Abad reported that the TEMPO team released L1B spectra and the first provisional public L2 products (Version 3), including NO2, HCHO, and total column O3Andrew Rollins [National Oceanic and Atmospheric Administration’s (NOAA) Chemical Sciences Laboratory (CSL)] reported that the TEMPO team is working on validation of provisional data using both ground-based data from PANDORA spectrometers and data collected during several different airborne campaigns completed during the summer of 2023 and compiled on the AGES+ website.

Ben Veihelmann [ESA’s European Space Research and Technology Center—PI] explained that ESA’s Copernicus Sentinel-4 mission will be the final member of the GEO AC constellation. Veefkind summarized the Sentinel-4 mission, which is expected to launch on the Meteosat Third Generation (MTG)-Sounder 1 (MTG-S1) platform in 2025. The mission is dedicated to measuring air quality and O3 over Europe and parts of the Atlantic and North Africa. Sentinel-4 will deploy the first operational UV-Vis-NIR (UVN) imaging spectrometer on a geostationary satellite. (Airbus will build UVN, with ESA providing guidance.) Sentinel-4 includes two instruments launched in sequence on MTG-S1 and MTG-S2 platforms designed to have a combined lifetime of 15 years. The mission by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) will operate Sentinel-4, and the Deutsches Zentrum für Luft- und Raumfahrt (DLR) or German Aerospace Center will be responsible for operational L2 processing.

These three GEO AC missions, along with the upcoming ESA/EUMETSAT/Copernicus LEO (morning orbit, 9:30 a.m.) Sentinel-5 (S5) mission, will complete a LEO–GEO satellite constellation that will enable monitoring of the most industrialized and polluted regions in the Northern Hemisphere into the 2030s. Sentinel-5 will not continue the OMI–TROPOMI data record in the early afternoon; however, it will be placed in the morning orbit and follow ESA’s Global Ozone Monitoring Experiment (GOME) and EUMETSAT GOME-2 missions. By contrast, GEO AC observations over the Southern Hemisphere are currently not available. Several presenters described ongoing projects for capacity building for LEO satellite air quality data uptake and emission monitoring in Africa and advocated for the new geostationary measurements.

Synergy with Other Current or Upcoming Missions

Attendees discussed the synergy between upcoming AC, GHG, and ocean color missions. Current trends in satellite AC measurements are toward increased spatial resolution and combined observations of short-lived reactive trace gases – which are important for air quality (AQ) monitoring – and long-lived GHG – which are important for climate monitoring and carbon cycle assessments. Some trace gases (e.g., O3 and CH4) are both polluters and GHG agents. Others [e.g., NO2 and sulfur dioxide (SO)] are aerosol [particulate matter (PM)] and O3 precursors and are used as proxies and spatial indicators for anthropogenic CO2 and CH4 emissions.

Yasjka Meijer [ESA—Copernicus Anthropogenic Carbon Dioxide Monitoring (CO2M) Mission Scientist]) reviewed the plans for CO2M, which includes high-resolution measurements [~4 km(~1.5 mi2)] of CO, CH, and NO2.

Jochen Landgraf [SRON] described ESA’s new Twin Anthropogenic Greenhouse Gas Observers (TANGO) mission, which has the objective to measure CO, CH, and NO2 at even higher spatial resolution [~300 m (~984 ft)] using two small CubeSat spectrometers flying in formation.

Hiroshi Tanimoto [National Institute for Environmental Studies, Japan] described the Japan Aerospace Exploration Agency’s (JAXA) Global Observing SATellite for greenhouse gases and water cycle (GOSAT-GW) mission, which includes the Total Anthropogenic and Natural Emission mapping SpectrOmeter (TANSO-3) spectrometer to simultaneously measure CO, CH4, and NO2 with ~1–3 km (~0.6–1.8 mi) spatial resolution in focus mode. GOSAT-GW will also fly the Advanced Microwave Scanning Radiometer 3 (AMSR3).

Joanna Joiner [GSFC—Geostationary Extended Operations (GeoXO) Project Scientist and ACX Instrument Scientist] described the plans for the next-generation U.S. geosynchronous satellite constellation, which will consist of three satellites covering the full Earth disk: GEO-East, GEO-West, and GEO-Central. (By contrast, the current Geostationary Operational Environmental Satellite (GOES) series has two satellites: GOES–East and GOES–West.) GEO-Central will carry an advanced infrared sounder (GXS) for measuring vertical profiles of many trace gases, temperature and humidity, and a new UV-VIS spectrometer (ACX), which is a follow-on to TEMPO for AQ applications. Both GXS and ACX instruments will be built by BAE Systems, which acquired Ball Aerospace and Technology, and will also build the GeoXO ocean color spectrometer (OCX).

Andrew Sayer [UMBC] described NASA’s Plankton, Aerosols, Clouds, and ocean Ecosystem (PACE), which launched on February 8, 2024. The PACE payload includes a high-spatial resolution [~1 km (~0.6 mi) at nadir] Ocean Color Instrument (OCI), which is a UV-Vis-NIR spectrometer with discrete SWIR bands presenting additional opportunities for synergistic observations with the AC constellation. Sayer presented OCI “first light” aerosol data processed using the unified retrieval algorithm developed by Lorraine Remer [UMBC].

The second day concluded with a joint crossover session with NASA’s Health and Air Quality Applied Sciences Team (HAQAST) followed by a poster session. Several OMI–TROPOMI STM participants presented on a variety of topics that illustrate how OMI and TROPOMI data are being used to support numerous health and AQ applications. Duncan, who is also a member of HAQAST team, presented “20 years of health and air quality applications enabled by OMI data.” He highlighted OMI contributions to AQ and health applications, including NO2 trend monitoring, inferring trends of co-emitted species [e.g., CO2, CO, some Volatile Organic Compounds (VOCs)], validation of new satellite missions (e.g., TEMPO, PACE), and burden of disease studies.

DAY THREE

Discussions on the third day focused on advanced retrieval algorithms, leading to new products and new applications for OMI and TROPOMI data. Several presentations described applications of TROPOMI CH4 data and synergy with small satellites.

Advanced Retrieval Algorithms and New Data Products

Ilse Aben [SRON] described TROPOMI global detection of CH4 super-emitters using an automated system based on Machine Learning (ML) techniques – see Figure 6. Berend Schuit [SRON] provided additional detail on these methods. He introduced the TROPOMI CH4 web site to the meeting participants. He explained how TROPOMI global CH4 measurements use “tip-and-cue” dedicated satellites with much higher spatial resolution instruments [e.g., GHGSat with ~25-m (~82-ft) resolution] to scan for individual sources and estimate emission rates. Most CH4 super-emitters are related to urban areas and/or landfills, followed by plumes from gas and oil industries and coal mines.

OMI–TROPOMI Figure 6
Figure 6. Methane plume map produced by SRON shows TROPOMI large CH4 emission plumes for the week of the OMI–TROPOMI meeting (June 3–6, 2024).
Figure credit: Itse Aben/Stichting Ruimte Onderzoek Nederland (SRON)

Alba Lorente [Environmental Defense Fund—Methane Scientist] introduced a new MethaneSAT satellite launched in March 2024, which aims to fill the gap in understanding CH4 emissions on a regional scale [200 x 200 km2 (~77 x 77 mi2)] from at least 80% of global oil and gas production, agriculture, and urban regions. Alex Bradley [University of Colorado, Boulder] described improvements to TROPOMI CH4 retrievals that were achieved by correcting seasonal effects of changing surface albedo.

Daniel Jacob [Harvard University] presented several topics, including the highest resolution [~30 m (~98 ft)] NO2 plume retrievals from Landsat-8 – see Figure 7 – and Sentinel-2 imagers. He also discussed using a ML technique trained with TROPOMI data to improve NO2 retrievals from GEMS and modeling NO2 diurnal cycle and emission estimates. He introduced the ratio of ammonia (NH3) to NO2 (NH3/NO2) as an indicator of particulate matter with diameters less than 2.5 µm (PM2.5) nitrate sensitivity regime. Jacob emphasized the challenges related to satellite NO2 retrievals (e.g., accounting for a free-tropospheric NO2 background and aerosols).

OMI–TROPOMI Figure 7
Figure 7. Landsat Optical Land Imager (OLI) image, obtained on October 17, 2021 over Saudi Arabia, shows power plant exhaust, which contains nitrogen dioxide (NO2) drifting downwind from the sources (the two green circles are the stacks). The ultra-blue channel (430–450 nm) on OLI enables quantitative detection of NO2 in plumes from large point sources at 30-m (~98-ft) resolution. This provides a unique ability for monitoring point-source emissions of oxides of nitrogen (NOx). The two stacks in the image are separated by 2 km (~1.2 mi).
Figure credit: Daniel Jacob – repurposed from a 2024 publication in Proceedings of the National Academies of Sciences (PNAS)

Steffen Beirle [Max Planck Institute for Chemistry, Germany] explained his work to fit TROPOMI NO2 column measurements to investigate nitric oxide (NO) to NO2 processing in power plant plumes. Debra Griffin [Environment and Climate Change Canada (ECCC)] used TROPOMI NOobservations and ML random forest technique to estimate NO2 surface concentrations. Sara Martinez-Alonso [NCAR] investigated geographical and seasonal variations in NO2 diurnal cycle using GEMS and TEMPO data.  Ziemkecombined satellite O3 data to confirm a persistent low anomaly (~5–15%) in tropospheric O3 after 2020.  Jethva presented advanced OMI and TROPOMI absorbing aerosol products. Yu described improved OMI and TROPOMI cloud datasets using the O2-O2 absorption band at 477 nm. Nicholas Parazoo [Jet Propulsion Laboratory (JPL)] described TROPOMI Fraunhofer line retrievals of red solar-induced chlorophyll fluorescence (SIF) near O2-B band (663–685 nm) to improve mapping of ocean primary productivity. Liyin He [Duke University] described using satellite terrestrial SIF data to study the effect of particulate pollution on ecosystem productivity.

New Applications

Zachary Fasnacht [SSAI] used OMI and TROPOMI spectra to train a neural network to gap-fill MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) ocean color data under aerosol, sun glint, and partly cloudy conditions. This ML method can also be applied to PACE OCI spectra. Anu-Maija Sundström [Finnish Meteorological Institute (FMI)] used OMI and TROPOMI SO2 and Odata as proxies to study new particle formation events. Lindsey Anderson [University of Colorado, Boulder] described how she used TROPOMI NO2 and CO measurements to estimate the composition of wildfire emissions and their effect on forecasted air quality. Heesung Chong [SAO] applied OMI bromine oxide (BrO) retrievals to the NOAA operational Ozone Mapping and Profiling Suite Nadir Mapper (OMPS-NM) on joint NOAA–NASA Suomi-National Polar-orbiting Partnership (Suomi NPP) satellite with the possibility to continue afternoon measurements using similar OMPS-NM instruments on the four Joint Polar Satellite System missions (JPSS-1,-2,-3,-4) into the 2030s. (JPSS-1 and -2 are now in orbit and known as NOAA-20 and -21 respectively; JPSS-4 is planned for launch in 2027, with JPSS-3 currently targeted for 2032.)

Kim demonstrated the potential for using satellite NO2 and SO2 emissions as a window into socioeconomic issues that are not apparent by other methods. For example, she showed how OMI and TROPOMI data were widely used to monitor air quality improvements in the aftermath of COVID-19 lockdowns. (Brad Fisher [SSAI] presented a poster on a similar topic.)

Cathy Clerbaux [Center National d’Études Spatiale (CNES), or French Space Agency] showed how her team used TROPOMI NOdata to trace the signal emitted by ships and used this information to determine how the shipping lanes through the Suez Canal changed in response to unrest in the Middle East. Iolanda Ialongo [FMI] showed a similar drop of NO2 emissions over Donetsk region due to the war in Ukraine. Levelt showed how OMI and TROPOMI NOdata are used for capacity-building projects and for air quality reporting in Africa. She also advocated for additional geostationary AQ measurements over Africa.

DAY FOUR

Discussions on the final day focused on various methods of assimilating satellite data into air quality models for emission inversions and aircraft TEMPO validation campaigns. The meeting ended with Levelt giving her unique perspective on the OMI mission, as she reflected on more than two decades being involved with the development, launch, operation, and maintenance of OMI.  

Assimilating Satellite Data into Models for Emissions

Brian McDonald [CSL] described advance chemical data assimilation of satellite data for emission inversions and the GReenhouse gas And Air Pollutants Emissions System (GRA2PES). He showed examples of assimilations using TROPOMI and TEMPO NO2 observations to adjust a priori emissions. He also showed that when TEMPO data are assimilated, NOx emissions adjust faster and tend to perform better at the urban scale. Adrian Jost [Max Planck Institute for Chemistry] described the ESA-funded World Emission project to improve pollutant and GHG emission inventories using satellite data. He showed examples of TROPOMI SO2 emissions from large-point sources and compared the data with bottom-up and NASA SO2 emissions catalogue.

Ivar van der Velde [SRON] presented a method to evaluate fire emissions using new satellite imagery of burned area and TROPOMI CO. Helene Peiro [SRON] described her work to combine TROPOMI CO and burned area information to compare the impact of prescribed fires versus wildfires on air quality in the U.S. She concluded that prescribed burning reduces CO pollution. Barbara Dix [University of Colorado, Boulder, Cooperative Institute for Research in Environmental Sciences] derived NOx emissions from U.S. oil and natural gas production using TROPOMI NO2 data and flux divergence method. She estimated TROPOMI CH4 emissions from Denver–Julesburg oil and natural gas production. Dix explained that the remaining challenge is to separate oil and gas emissions from other co-located CH4 sources. Ben Gaubert [NCAR, Atmospheric Chemistry Observations and Modeling] described nonlinear and non-Gaussian ensemble assimilation of MOPITT CO using the data assimilation research testbed (DART).

Andrew (Drew) Rollings [CSL] presented first TEMPO validation results from airborne field campaigns in 2023 (AGES+ ), including NOAA CSL Atmospheric Emissions and Reactions observed from Megacities to Marine Aeras (AEROMMA) and NASA’s Synergistic TEMPO Air Quality Science (STAQS) campaigns.

A Reflection on Twenty Years of OMI Observations

Levelt gave a closing presentation in which she reflected on her first involvement with the OMI mission as a young scientist back in 1998. This led to a collaboration with the international ST to develop the instrument, which was included as part of Aura’s payload when it launched in July 2004. She reminisced about important highlights from 2 decades of OMI, e.g., the 10-year anniversary STM at KNMI in 2014 (see “Celebrating Ten Years of OMI Observations,” The Earth Observer, May–Jun 2014, 26:3, 23–30), and the OMI ST receiving the NASA/U.S. Geological Survey Pecora award in 2018 and the American Meteorological Society’s Special award in 2021.

Levelt pointed out that in this combined OMI–TROPOMI meeting the movement towards using air pollution and GHG data together became apparent. She ended by saying that the OMI instrument continues to “age gracefully” and its legacy continues with the TROPOMI and LEO–GEO atmospheric composition constellation of satellites that were discussed during the meeting.

Conclusion

Overall, the second OMI–TROPOMI STM acknowledged OMI’s pioneering role and TROPOMI’s unique enhancements in measurements of atmospheric composition: 

  1. Ozone Layer Monitoring: Over the past two decades, OMI has provided invaluable data on the concentration and distribution of O3 in the Earth’s stratosphere. This data has been crucial for understanding and monitoring the recovery of the O3 layer following international agreements, such as the Montreal Protocol.
  2. Air Quality Assessment: OMI’s high-resolution measurements of air pollutants, such as NO2, SO2, and HCHO, have significantly advanced our understanding of air quality. This information has been vital for tracking pollution sources, studying their transport and transformation, and assessing their impact on human health and the environment.
  3. Climate Research: The data collected by OMI has enhanced our knowledge of the interactions between atmospheric chemistry and climate change. These insights have been instrumental in refining climate models and improving our predictions of future climate scenarios.
  4. Global Impact: The OMI instrument has provided near-daily global coverage of atmospheric data, which has been essential for scientists and policymakers worldwide. The comprehensive and reliable data from OMI has supported countless research projects and informed decisions aimed at protecting and improving our environment.

OMI remains one of the most stable UV/Vis instruments over its two decades of science and trend quality data collection. The success of the OMI and TROPOMI instruments is a testament to the collaboration, expertise, and dedication of both teams.

Nickolay Krotkov
NASA’s Goddard Space Flight Center
Nickolay.a.krotkov@nasa.gov

Pieternel Levelt
National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling
levelt@ucar.edu

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Nov 12, 2024

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      Summary of the Joint NASA LCLUC–SARI Synthesis Meeting
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      Figure 1. Urban expansion area in Ha Long City, Vietnam from 2000–2023 from multidate Landsat satellite imagery. Figure credit: Vu Tuan [VNSC] Tsuneo Matsunaga provided a detailed overview of Japan’s Greenhouse Gases Observing Satellite (GOSAT) series of satellites, data from which provide valuable insights into global greenhouse gas (GHG) trends and support international climate agreements, including the Paris Agreement.
      Matsunaga reviewed the first two satellites in the series: GOSAT and GOSAT-2, then previewed the next satellite in the series: GOSAT-GW, which is scheduled to launch in 2025. GOSAT-GW will fly the Total Anthropogenic and Natural Emissions Mapping Observatory–3 (TANSO-3) – an improved version of TANSO-2, which flies on GOSAT-2. TANSO-3 includes a Fourier Transform Spectrometer (FTS-3) that has improved spatial resolution [10.5 km (6.5 mi)] over TANSO-FTS-2 and precision that matches or exceeds that of its predecessor. TANSO-FTS-3 will allow estimates with precision better than 1 ppm for carbon dioxide (CO2) and 10 ppb for methane (CH4), as well as enabling nitrogen dioxide (NO2) measurements. GOSAT–GW will also fly the Advanced Microwave Scanning Radiometer (AMSR3) that will monitor water cycle components (e.g., precipitation, soil moisture) and ocean surface winds. AMSR3 builds on the heritage of three previous AMSR instruments that have flown on NASA and Japan Aerospace Exploration Agency (JAXA) missions.
      Matsunaga also highlighted the importance of ground-based validation networks, such as the Total Carbon Column Observing Network, COllaborative Carbon Column Observing Network, and the Pandora Global Network, to ensure satellite data accuracy.
      Son Nghiem [NASA/Jet Propulsion Laboratory (JPL)] addressed dynamic LUCC in Cambodia, Laos, Thailand, Vietnam, and Malaysia. The synthesis study examined the factors that evolve along the rural–urban continuum (RUC). Nghiem showcased this effort using Synthetic Aperture Radar (SAR) data from the Copernicus Sentinel-1 mission to map a typical RUC in Bac Lieu, Vietnam – see Figure 2.
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      Figure 3. Landsat data can be used to track land cover change over time. For example, Thematic Mapper data have been used to track urban expansion around Yangon, Myanmar. The data show that the built-up area expanded from 161 km2 (62 mi2) in 1990 to 739 km2 (285 mi2) in 2020. Figure credit: Peleli Fan [Tufts University] Session III: Land Cover/Land Use Change Studies
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      Eric Vermote [NASA’s Goddard Space Flight Center] presented a keynote that focused on atmospheric correction of land remote sensing data and related algorithm updates. He highlighted the necessity of correcting surface imaging for atmospheric effects, such as molecular scattering, aerosol scattering, and gaseous absorption, which can significantly distort the satellite spectral signals and lead to potential errors in applications, such as land cover mapping, vegetation monitoring, and climate change studies.
      Vermote explained that the surface reflectance algorithm uses precise vector radiative transfer modeling to improve accuracy by incorporating atmospheric parameter inversion. It also adjusts for various atmospheric conditions and aerosol types – enhancing corrections across regions and seasons. He explained that SkyCam – a network of ground-based cameras – provides real-time assessments of cloud cover that can be used to validate cloud masks, while the Cloud and Aerosol Measurement System (CAMSIS) offers additional ground validation by measuring atmospheric conditions. He said that together, SkyCam and CAMSIS improve satellite-derived cloud masks, supporting more accurate climate models and environmental monitoring. Vermote’s work highlights the ongoing advancement of atmospheric correction methods in remote sensing.
      Other presentations in this session included one in which the speaker described how Yangon, the capital city in Myanmar, is undergoing rapid urbanization and industrial growth. From 1990–2020, the urban area expanded by over 225% – largely at the expense of agricultural and green lands. Twenty-nine industrial zones cover about 10.92% of the city, which have attracted significant foreign direct investment, particularly in labor-intensive sectors. This growth has led to challenges with land confiscations, inadequate infrastructure, and environmental issues (e.g., air pollution). Additionally, rural migration for employment has resulted in informal settlements, emphasizing the need for comprehensive urban planning that balances economic development with social equity and sustainability.
      Another presentation highlighted varying LUCC trends across Vietnam. In the Northern and Central Coastal Uplands, for example, swidden systems are shifting toward permanent tree crops, such as rubber and coffee. Meanwhile, the Red River Delta is seeing urban densification and consolidation of farmland – transitioning from rice to mixed farming with increased fruit and flower production. Similarly, the Central Coastal Lowlands and Southeastern regions are experiencing urban growth and a shift from coastal agriculture – in this case, to shrimp farming – leading to mangrove loss. The Central Highlands is moving from swidden to tree crops, particularly fruit trees, while the Mekong River Delta is increasing rice cropping and aquaculture. These changes contribute to urbanization, altered farming practices, and biodiversity loss. Advanced algorithms (e.g., the Time-Feature Convolutional Neural Network model) are being used to effectively map these varied LUCC changes in Vietnam.
      Another presenter explained how 10-m (33-ft) resolution spatially gridded population datasets are essential to address LUCC in environmental and socio-demographic research. There was also a demonstration of PopGrid, which is a collaborative initiative that provides access to various global-gridded population databases, which are valuable for regional LUCC studies and can support informed decision-making and policy development.
      DAY TWO
      The second day’s presentations centered around urban LUCC (Session IV) as well as interconnections between agriculture and water resources. (Session V).
      Session IV: Urban Land Cover/Land Use Change
      Gay Perez [Philippines Remote Sensing Agency (PhilSA)] presented a keynote focused on PhilSA’s mission to advance Philippines as a space-capable country by developing indigenous satellite and launch technologies. He explained that PhilSA provides satellite data in various categories, including sovereign, commercial, open-access, and disaster-activated. He noted that the ground infrastructure – which includes three stations and a new facility in Quezon – supports efficient data processing. For example, Perez stated that in 2023, PhilSA produced over 10,000 maps for disaster relief, agricultural assessments, and conservation planning.
      Perez reviewed PhilSA’s Diwata-2 mission, which launched in 2018 and operates in a Sun-synchronous orbit around 620 km (385 mi) above Earth. With a 10-day revisit capability, it features a high-precision telescope [4.7 m (15ft) resolution], a multispectral imager with four bands, an enhanced resolution camera, and a wide-field camera. Since launch, Diwata-2 has captured over 100,000 global images, covering 95% of the Philippines. Looking to the near future, Perez reported that PhilSA’s launch of the Multispectral Unit for Land Assessment (MULA) satellite is planned for 2025. He explained that MULA will capture images with a 5-m (~16-ft) resolution and 10–20-day revisit time, featuring 10 spectral bands for vegetation, water, and urban analysis.
      Perez also described the Drought and Crop Assessment and Forecasting project, which addresses drought risks and mapping ground motion in areas, e.g., Baguio City and Pangasinan. Through partnerships in the Pan-Asia Partnership for Geospatial Air Pollution Information (PAPGAPI) and the Pandora Asia Network, PhilSA monitors air quality across key locations, tracking urban pollution and cross-border particulate transport. PhilSA continues to strengthen Southeast Asian partnerships to drive sustainable development in the region.
      Jiquan Chen [Michigan State University] presented the second keynote address, which focused on the Urban Rural Continuum (URC). Chen emphasized the importance of synthesizing studies that explore factors such as population dynamics, living standards, and economic development in the URC. Key considerations include differentiating between two- and three-dimensional infrastructures and understanding constraints from historical contexts. Chen highlighted critical variables from his analysis including net primary productivity, household income, and essential infrastructure elements, such as transportation and healthcare systems. He advocated for integrated models that combine mechanistic and empirical approaches to grasp the dynamics of URC changes, stressing their implications for urban planning, environmental sustainability, and social equity. He concluded with a call for collaboration to enhance these models and tackle challenges arising from the changing urban–rural landscape.
      Tep Makathy [Cambodian Institute For Urban Studies] discussed urbanization in Phnom Penh, Cambodia. He explained that significant LUCC and infrastructure developments have been fueled by direct foreign investment; however, this development has resulted in environmental degradation, urban flooding, and infrastructure strain. Tackling pollution, congestion, preservation of green spaces, and preserving the historical heritage of the city will require sustainable urban planning efforts.
      Nguyen Thi Thuy Hang [Vietnam Japan University, Vietnam National University, Hanoi] explained how flooding poses a significant annual threat to infrastructure and livelihoods in Can Tho, Vietnam. Therefore, it is essential to incorporate climate change considerations into land-use planning by enhancing the accuracy of vegetation layer classifications. Doing so will improve the representation of land-cover dynamics in models that decision-makers use when planning urban development. In addition, Hang reported that a more comprehensive survey of dyke systems will improve flood protection and identify areas needing reinforcement or redesign. These studies could also explore salinity intrusion in coastal agricultural areas that could impact crop yields and endanger food security.
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      Another presenter showed how data from the QuikSCAT instrument, which flew on the Quick Scatterometer satellite, and from the Sentinel-1 C-band SAR can be combined to measure and analyze urban built-up volume, specifically focusing on the vertical growth of buildings across various cities. By integrating these datasets, researchers can assess urban expansion, monitor the development of high-rise buildings, and evaluate the impact of urbanization on infrastructure and land use. This information is essential for urban planning, helping city planners and policymakers make informed decisions to accommodate growing populations and enhance sustainable urban development.
      Session V – LUCC, Agriculture, and Water Resources
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      In the session, presenters also discussed the use of Sentinel-1 SAR data for mapping submerged and non-submerged paddy soils was highlighted, demonstrating its effectiveness in understanding water management issues see – Figure 4. Additionally, large-scale remote sensing data and cloud computing were shown to provide unprecedented opportunities for tracking agricultural land-use changes in greater detail. Case studies from India and China illustrated key challenges, such as groundwater depletion in irrigated agriculture across the Indo-Ganges region and the impacts on food, water, and air quality in both countries.
      Figure 4. Series of Sentinel-1 radar data images showing submerged paddy soil (blue) and non-submerged paddy soil (red) in the Mekong Delta, Vietnam. Figure credit: Hiranori Arai [International Rice Research Institute] The session also focused on Water–Energy–Food (WEF) issues related to the Mekong River Basin’s extensive network of hydroelectric dams, which present both benefits and challenges. While these dams support sectors such as irrigated agriculture and hydropower, they also disrupt vital ecosystem services, including fish habitats and biodiversity. Collaborative studies integrating satellite and ground data, hydrological models, and socio-economic frameworks highlight the need to balance these benefits with ecological and social costs. Achieving sustainable management requires cross-sectoral and cross-border cooperation, as well as the incorporation of traditional knowledge to address WEF trade-offs and governance challenges in the region.
      DAY THREE
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      Chris Elvidge [Colorado School of Mines] presented a keynote on the capabilities and applications of the Visible Infrared Imaging Radiometer Suite (VIIRS) Nightfire [VNF] system, an advanced satellite-based tool developed by the Earth Observation Group. VIIRS Nightfire uses four near- and short-wave infrared channels, initially designed for daytime imaging, to detect and monitor infrared emissions at night. The system identifies various combustion sources, including both flaming and non-flaming activities (e.g., biomass burning, gas flaring, and industrial processes). It calculates the temperature, source area, and radiant heat of detected infrared emitters using physical laws to enable precise monitoring of combustion events and provide insight into exothermic and endothermic processes.
      Elvidge explained that VNF has been vital for near-real-time data in Southeast Asia. The system has been used to issue daily alerts for Vietnam, Thailand, and Indonesia. Recent updates in Version 4 (V4) include atmospheric corrections and testing for secondary emitters with algorithmic improvements – with a 50% success rate in identifying additional heat sources. The Earth Observation Group maintains a multiyear catalog of over 20,000 industrial infrared emitters available through the Global Infrared Emitter Explorer (GIREE) web-map service. With VIIRS sensors expected to operate until about 2040 on the Joint Polar Satellite System (JPSS) platforms, this system ensures long-term, robust monitoring and analysis of global combustion events, proving essential for tracking the environmental impacts of industrial activities and natural combustion processes on the atmosphere and ecosystems.
      Toshimasa Ohara [Center for Environmental Science, Japan—Research Director] continued with the second keynote and provided an in-depth analysis of long-term trends in anthropogenic emissions across Asia. The regional mission inventory in Asia encompasses a range of pollutants and offers detailed emissions data from 1950–2020 at high spatial and temporal resolutions. The study employs both bottom-up and top-down approaches for estimating emissions, integrating satellite observations to validate data and address uncertainties. Notably, emissions from China, India, and Japan have shown signs of stabilization or reduction, attributed to stricter emission control policies and technological advancements. Ohara also highlighted Japan’s effective air pollution measures and the importance of extensive observational data in corroborating emission trends. His presentation emphasized the need for improved methodologies in emission inventory development and validation across Asia, aiming to enhance policymaking and environmental management in rapidly industrializing regions.
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      A project under the United Nations Economic and Social Commission for Asia and the Pacific in Thailand is focused on improving air quality monitoring across the Asia–Pacific region by integrating satellite and ground-based data. At the core of this effort, the Pandora Asia Network, which includes 30 ground-based instruments measuring pollutants such as NO₂ and sulfur dioxide (SO₂), is complemented by high-resolution observations from the Geostationary Environment Monitoring Spectrometer (GEMS) aboard South Korea’s GEO-KOMPSAT-2B (GK-2B) satellite. The initiative also provides training sessions to strengthen regional expertise in remote sensing technologies for air quality management and develops decision support systems for evidence-based policymaking, particularly for monitoring pollution sources and transboundary effects like volcanic eruptions. Future plans include expanding the Pandora network and enhancing data integration to support local environmental management practices.
      PM2.5 levels in Vietnam are influenced by both local emissions and long-range pollutant transport, particularly in urban areas.The Vietnam University of Engineering and Technology, in conjunction with VNSC, continues to map and monitor PM2.5 using satellites and machine learning while addressing data quality issues that stem from missing satellite data and limited ground monitoring stations – see Figure 5.
      In addition to mapping and monitoring pollutants, another presentater explained that significant research is underway to address their health impacts. In Hanoi, exposure to pollutants ( e.g., PM2.5, PM10, and NO2) has led to increased rates of respiratory diseases (e.g., pneumonia, bronchitis, and asthma) among children,  as well as elevated instances of cardiovascular diseases among adults. A substantial mortality burden is attributable to fine particulate matter – particularly in densely populated areas like Hanoi. Compliance with stricter air quality guidelines could potentially prevent thousands of premature deaths. For example, preventive measures enacted during the COVID-19 pandemic resulted in reduced pollution levels that were associated with a decrease in avoidable mortality rates. In response to these challenges, Vietnam has implemented air quality management policies, including national technical regulations and action plans aimed at controlling emissions and enhancing monitoring; however, current national standards still fall short of the more stringent guidelines recommended by the World Health Organization. Improved air quality standards and effective policy interventions are needed to mitigate the health risks associated with air pollution in Vietnam.
      Figure 5. Map of particulate matter (PM 2.5) variations observed across Vietnam, using multisatellite aerosol optical depth (AOD) data from the Moderate Resolution Imaging Spectrogradiometer (MODIS) on NASA’s Aqua and Terra platforms, and from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NASA–NOAA Suomi NPP platform, combined with ground-based AOD and meteorological data. Figure credit: Thanh Nguyen [Vietnam National University of Engineering and Technology, Vietnam] Another presenter explained how food production in Southeast Asia contributes about 40% of the region’s total GHG emissions – with rice and beef production identified as the largest contributors for plant-based and animal-based emissions, respectively. Another presentation focused on a study that examined GHG emissions from agricultural activities, which suggests that animal-based food production – particularly beef – generates substantially higher GHG emissions per kg of food produced compared to plant-based foods, such as wheat and rice. Beef has an emission intensity of about 69 kg of CO2 equivalent-per-kg, compared to 2 to 3 kg of CO2 equivalent-per-kg for plant-based foods. The study points to mitigation strategies (e.g., changing dietary patterns, improving agricultural practices) and adopting sustainable land management. Participants agreed that a comprehensive policy framework is needed to address the environmental impacts of food production and reduce GHG emissions in the agricultural sector.
      In another presentation, the speaker highlighted the fact that Southeast Asian countries need an advanced monitoring, reporting, and verification system to track GHG emissions – particularly within high-carbon reservoirs like rice paddies. To achieve this, cutting-edge technologies (e.g., satellite remote sensing, low-cost unmanned aerial vehicles, and Internet of Things devices) can be beneficial in creating sophisticated digital twin technology for sustainable rice production and GHG mitigation.
      Another presentation featured a discussion about pollution resulting from forest and peatland fires in Indonesia, which is significantly impacting air quality. Indonesia’s tropical peatlands – among the world’s largest and most diverse – face significant threats from frequent fires. Repeated burning has transformed forests into shrubs and secondary vegetation regions, with fires particularly affecting forest edges and contributing to a further retreat of intact forest areas. High-resolution data is essential to map and monitor changes in forest cover, including pollution impacts.
      Another speaker described a web-based Geographic Information Systems (GIS) application that has been developed to support carbon offsetting efforts in Laos – to address significant environmental challenges, e.g., deforestation and climate change. Advanced technologies (e.g., remote sensing, GIS, and Global Navigation Satellite Systems) are used to monitor land-use changes, carbon sequestration, and ecosystem health. By integrating various spatial datasets, the web GIS app enhances data collection precision, streamlines monitoring processes, and provides real-time information to stakeholders for informed decision-making. This initiative fosters collaboration among local communities, government agencies, and international partners, while emphasizing the importance of government support and international partnerships. Ultimately, the web GIS application represents a significant advancement in Laos’s commitment to environmental sustainability, economic growth, and the creation of a greener future.
      Session VII. Discussion Session on Synthesis
      The meeting concluded with a comprehensive discussion on synthesizing themes related to LUCC. The session focused on three themes: LUCC, agriculture, and air pollution. The session focused on trends and projections as well as the resulting impacts in the coming years. It also highlighted research related to these topics to inform more sustainable land use policies. A panel of experts from different Southeast Asian countries addressed these topics. A summary of the key points shared by the panelists for each theme during the discussion is provided below.
      LUCC Discussions
      This discussion focused on the challenges of balancing economic development with environmental sustainability in Southeast Asian countries, e.g., mining in Myanmar, agriculture in Vietnam, and rising land prices in Thailand. More LUCC research is needed to inform decision-making and improve land-use planning during transitions from agriculture to industrialization while ensuring food security. The panelists also discussed urban sprawl and infrastructure development along main roads in several Southeast Asian countries, highlighting the social and environmental challenges arising from uncoordinated growth. It was noted that urban infrastructure lags behind population increases, resulting in traffic congestion, pollution, and social inequality. Cambodia, for example, has increased foreign investments, which presents similar dilemmas of economic growth accompanied by significant environmental degradation. Indonesia is another example of a Southeast Asian nation facing rapid urbanization and inadequate spatial planning, leading to flooding, groundwater depletion, and pollution. These issues further highlight the need for integrated satellite monitoring to inform land-use policies. Finally, recognizing the importance of public infrastructure in growth management, it was reported that the Thai government is already using technology to manage urban development alongside green spaces.
      Panelists agreed that LUCC research is critical for guiding policymakers toward sustainable land-use practices – emphasizing the necessity for improved communication between researchers and policymakers. While the integration of technologies (e.g., GIS and remote sensing) is beginning to influence policy decisions, room for improvement remains. In summary, the discussions stressed the importance of better planning, technology integration, and policy-informed research to reconcile economic growth with sustainability. Participants also highlighted the need to engage policymakers, non-government organizations, and the private sector in using scientific evidence for sustainable development. Capacity building in Laos, Cambodia, and Myanmar, where GIS and remote sensing technologies are still developing, is crucial. Community involvement is essential for translating research findings into actionable policies to address real-world challenges and social equity.
      Agriculture Discussions
      These discussions explored the intricate relationships between agricultural practices, economic growth, and environmental sustainability in Southeast Asia. As an example, despite national policies to manage the land transition in Vietnam, rapid conversions from forest to agricultural land and further to residential and industrial continue. While it is recognized that strict land management plans may hinder future adaptability, further regulation is needed. These rapid shifts in land use have increased land for economic development – especially in industrial and residential sectors – and contribute to environmental degradation, e.g., pollution and soil erosion. In Thailand, land is distributed among agriculture (50%), forest (30%), and urban (20%) areas. Despite a long history of agricultural practices, Vietnam faces new challenges from climate change and extreme weather.
      Thailand, meanwhile, is exploring carbon credits to incentivize sustainable farming practices – although this requires significant investment and time. The nation is well-equipped with a robust water supply system, and ongoing efforts to enhance crop yields on Vietnam’s Mekong Delta, salinity levels, and flooding intensity have increased as a result of the rise in incidents of extreme weather, prompting advancements in rice farming mechanization to be implemented that are modeled after practices that have been successfully used in the Philippines.
      Despite these advances, issues (e.g., over-application of rice seeds) remain. The dominant land cover type in Malaysia is tropical rainforest, although agriculture – particularly oil palm plantations – also plays a significant role in land use. While stable, it shares environmental concerns with Indonesia. The country is integrating solar energy initiatives, placing solar panels on former agricultural lands and recreational areas, which raises coastal environmental concerns. In Taiwan, substantial land use changes have stemmed from solar panel installations to support green energy goals but have led to increased temperatures and altered wind patterns.
      All panelists agreed that remote sensing technologies are vital to inform agricultural policy across the region. They emphasized the need to transition from academic research to actionable insights that directly inform policy. Panelists also discussed the challenge of securing funding for actionable research – underlining the importance of recognizing the transition required for research to inform operational use. Some countries (e.g., Thailand) have established operational crop monitoring systems, while others (e.g., Vietnam) primarily depend on research projects. Despite progress in Malaysia’s monitoring of oil palm plantations, a comprehensive operational monitoring system is still lacking in many areas. The participants concluded that increased efforts are needed to promote the wider adoption of remote sensing technologies for agricultural and environmental monitoring, with emphasis on developing operational systems that can be integrated into policy and decision-making processes.
      Air Pollution Discussions
      The discussion on air pollution focused on various sources in Southeast Asia, which included both local and transboundary factors. Panelists highlighted that motor vehicles, industrial activities, and power plants are major contributors to pollutants, such as PM2.5, NO2, ozone (O3), and carbon monoxide (CO). Forest fires in Indonesia – particularly from South Sumatra and Riau provinces – are significantly impacting neighboring countries, e.g., Malaysia. A study found that most PM2.5 pollution in Kuala Lumpur originates from Indonesia. During the COVID-19 pandemic, pollution levels dropped sharply due to reduced economic activity; however, data from 2018–2023 shows that PM2.5 levels have returned to pre-pandemic conditions.
      The Indonesian government is actively working to reduce deforestation and emissions, aiming for a 29% reduction by 2030. Indonesia is also participating in carbon markets and receiving international payments for emission reductions. Indonesia’s emissions also stem from energy production, industrial activities, and land-use changes, including peat fires. The Indonesian government reports anthropogenic sources – particularly from the energy sector and industrial activities, forest and peat fires, waste, and agriculture – continue to escalate. While Indonesia is addressing these issues, growing population and energy demands continue to drive pollution levels higher.
      Vietnam and Laos are facing similar challenges related to air pollution – particularly from agricultural residue burning. Both governments are working on expanding air quality monitoring, regulating waste burning, and developing policies to mitigate pollution. Vietnam has been developing provincial air quality management plans and expanding its monitoring network. Laos has seen increased awareness of pollution, accompanied by government measures aimed at restricting burning and improving waste management practices.
      The panelists agreed that collaborative efforts for regional cooperation are essential to address air pollution. This will require collaboration in research and data sharing to inform policy decisions. There is a growing interest in leveraging satellite technology and modeling approaches to enhance air quality forecasting and management. To ensure that research translates into effective policy, communication of scientific findings to policymakers is essential – particularly by clearly communicating complex research concepts in accessible formats. All panelists agreed on the importance of improving governance, transparency, and scientific communication to better translate research into policy actions, highlighting collaborations with international organizations – including NASA – to address air quality issues. While significant challenges related to air pollution persist in Southeast Asia, noteworthy efforts are underway to improve awareness, research, and collaborative governance aimed at enhancing air quality and reducing emissions.
      Conclusion
      The LCLUC–SARI Synthesis meeting fostered collaboration among researchers and provided valuable updates on recent developments in LUCC research, exchange of ideas, integration of new data products, and discussions on emerging science directions. This structured dialogue (particularly the discussions in each session) helped the attendees identify priorities and needs within the LUCC community. All panelists and meeting participants commended the SARI leadership for their proactive role in facilitating collaborations and discussions that promote capacity-building activities across the region. SARI activities have significantly contributed to enhancing the collective ability of countries in South and Southeast Asia to address pressing environmental challenges. The meeting participants emphasized the importance of maintaining and expanding these collaborative efforts, which are crucial for fostering partnerships among governments, research institutions, and local communities. They urged SARI to continue organizing workshops, training sessions, and knowledge-sharing platforms that can equip stakeholders with the necessary skills and resources to tackle environmental issues such as air pollution, deforestation, climate change, and sustainable land management.
      Krishna Vadrevu
      NASA’s Marshall Space Flight Center
      krishna.p.vadrevu@nasa.gov
      Vu Tuan
      Vietnam National Science Center, Vietnam
      vatuan@vnsc.org.vn
      Than Nguyen
      Vietnam National University Engineering and Technology, Vietnam
      thanhntn@vnu.edu.vn
      Son Nghiem
      Jet Propulsion Laboratory
      son.v.nghiem@jpl.nasa.gov
      Tsuneo Matsunaga
      National Institute of Environmental Studies, Japan
      matsunag@nies.go.jp
      Garik Gutman
      NASA Headquarters
      ggutman@nasa.gov
      Christopher Justice
      University of Maryland College Park
      cjustice@umd.edu
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      Last Updated Feb 20, 2025 Related Terms
      Earth Science View the full article
    • By NASA
      2 min read
      NASA Science: Being Responsive to Executive Orders
      February 18, 2025
      To the NASA Science Community – 
      As the nation’s leader in Earth and space science, NASA Science operates within the broader context of the federal government and its priorities. As part of the Executive Branch, we are always responsive to the direction set by the Administration, including executive orders and policy guidance that relate to our programs and activities. 
      We are working as quickly as possible to implement these Executive Orders and related policies. We understand that these priorities can have tangible effects on our community, from potential changes in solicitations and mission planning to impacts on grants and research programs. We recognize that uncertainty can be challenging but we are committed to keeping you as informed as possible as we comply with these changes.  
      Our goal remains steadfast: to support groundbreaking science that advances knowledge and benefits society. As we work through these transitions, we are engaging with stakeholders, assessing implications, and ensuring that we continue to deliver on NASA’s science mission.  
      We appreciate your patience and dedication, and we will share more details as they become available. Thank you for your continued partnership in advancing NASA Science for the benefit of the nation. 
      -Nicky Fox
      Associate Administrator, NASA Science Mission Directorate 
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      The 2024 Annual Highlights of Results from the International Space Station is now available. This new edition contains updated bibliometric analyses, a list of all the publications documented in fiscal year 2024, and synopses of the most recent and recognized scientific findings from investigations conducted on the space station. These investigations are sponsored by NASA and all international partners – CSA (Canadian Space Agency), ESA (European Space Agency), JAXA (Japan Aerospace Exploration Agency), and the State Space Corporation Roscosmos (Roscosmos) – for the advancement of science, technology, and education.
      Dr. Dmitry Oleynikov remotely operates a surgical robot aboard the Space Station using controls at the Virtual Incision offices in Lincoln, Nebraska. Robotic Surgery Tech Demo tests techniques for performing a simulated surgical procedure in microgravity using a miniature surgical robot that can be remotely controlled from Earth. Credits: University of Nebraska-Lincoln Between Oct. 1, 2023, and Sept. 30, 2024, more than 350 publications were reported. With approximately 40% of the research produced in collaboration between more than two countries and almost 80% of the high-impact studies published in the past seven years, station has continued to generate compelling and influential science above national and global standards since 2010.
      The results achieved from station research provide insights that advance the commercialization of space and benefit humankind.
      Some of the findings presented in this edition include:
      Improved machine learning algorithms to detect space debris (Italian Space Agency, Roscosmos, ESA) Visuospatial processing before and after spaceflight (CSA) Metabolic changes during fasting intervals in astronauts (ESA) Vapor bubble production for the improvement of thermal systems (NASA) Immobilization of particles for the development of optical materials (JAXA) Maintained function of cardiac 3D stem cells after weeks of exposure to space (NASA) The content in the Annual Highlights of Results from the International Space Station has been reviewed and approved by the International Space Station Program Science Forum, a team of scientists and administrators representing NASA and international partners that are dedicated to planning, improving, and communicating the research operated on the space station.
      [See the list of Station Research Results publications here and find the current edition of the Annual Highlights of Results here.]  
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      Modeling properties of thunderstorm discharges

      Researchers report detailed physical properties of different types of corona discharges, including single- and multi-pulse blue discharges linked to powerful but short-lived electrical bursts near the tops of clouds. These details provide a reference for further investigation into the physical mechanisms behind these discharges and their role in the initiation of lightning, an important problem in lightning physics.

      An ESA (European Space Agency) instrument used to study thunderstorms, Atmosphere-Space Interactions Monitor (ASIM) provides insights into their role in Earth’s atmosphere and climate, including mechanisms behind the creation of lightning. Understanding how thunderstorms and lightning disturb the upper atmosphere could improve atmospheric models along with climate and weather predictions. These high-altitude discharges also affect aircraft and spacecraft safety.

      An artist’s impression of a blue jet as observed from the International Space Station.Mount Visual/University of Bergen/DTU Space Evaluating effects of climate change on oceans

      Researchers conclude that the space station’s ECOSTRESS instrument yields highly accurate sea surface temperature data. Given the instrument’s global coverage and high spatial resolution, these data have potential use in studies of biological and physical oceanography to evaluate regional and local effects of climate change.

      ECOSTRESS resolves oceanographic features not detectable in imagery from NOAA’s Visible Infrared Imaging Radiometer Suite satellite, and has open-ocean coverage, unlike Landsat. Satellites are a fundamental tool to measure sea surface temperatures, which are rising across all oceans due to atmospheric warming induced by climate change.

      The ECOSTRESS instrument, the white box in the center, is visible on the outside of the station.NASA Describing a gamma ray burst

      Researchers report detailed observations and analysis of emissions from an exceptionally bright gamma ray burst (GRB), 210619B, detected by the station’s ASIM and other satellite and ground-based instruments. These observations could be useful in determining various properties of GRBs and how they change during different phases.

      Believed to be generated by the collapse of massive stars, GRBs are the brightest, most explosive transient electromagnetic events in the universe. ASIM can observe thunderstorm discharges difficult to observe from the ground. It has a mode where a detected event triggers observation and onboard storage of data.

      A view of ASIM mounted on the outside of the space station. NASAView the full article
    • By NASA
      Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions 2 min read
      Sols 4454-4457: Getting Ready to Fill the Long Weekend with Science
      NASA’s Mars rover Curiosity acquired this image, which includes the pyramid-shaped rock at left in the photo, the science target dubbed “Pyramid Lake,” using its Left Navigation Camera. The rover acquired the image on sol 4452, or Martian day 4,452 of the Mars Science Laboratory mission, on Feb. 13, 2025, at 14:22:06 UTC. NASA/JPL-Caltech Earth planning date: Friday, Feb. 14, 2025
      Curiosity is continuing to make progress along the strategic route, traversing laterally across the sulfate (salt) bearing unit toward the boxwork structures. The team celebrated the completion of another successful drive when we received the downlink this morning, and then we immediately got to work thinking about what’s next. There is a holiday in the United States on Monday, so instead of the typical three-sol weekend plan, we actually planned four sols, which will set us up to return to planning next Tuesday.
      The first sol of the plan focuses on remote sensing, and we’ll be taking several small Mastcam mosaics of features around the rover. One of my favorite targets the team picked is a delightfully pointy rock visible toward the left of the Navcam image shown above. The color images we’ll take with Mastcam will give us more information about the textures of this rock and potentially provide insight into the geologic forces that transformed it into this comical shape. The team chose what I think is a very appropriate name for this Martian pyramid-shaped target — “Pyramid Lake.” The terrestrial inspiration behind this name is a human-made reservoir (lake) near Los Angeles with a big (also human-made) pyramidal hill in it.
      On the second sol of the plan, we’ll use the instruments on Curiosity’s arm to collect data of rock targets at our feet, including “Strawberry Peak,” a bumpy piece of bedrock, “Lake Arrowhead,” a smooth piece of bedrock, and “Skyline Trail,” a dark float rock. ChemCam will also collect chemical data of Skyline Trail, “Big Tujunga” — which is similar to Strawberry Peak — and “Momyer.” We’ll also take the first part of a 360-degree color mosaic with Mastcam!
      In the third sol of the plan, we’ll complete the 360-degree mosaic and continue driving to the southwest along our strategic route. The fourth sol is pretty quiet, with some atmospheric observations and a ChemCam AEGIS. Atmospheric observations are additionally sprinkled throughout other sols of the plan. This time of year we are particularly interested in studying the clouds above Gale crater!
      I’m looking forward to the nice long weekend, and returning on Tuesday morning to see everything Curiosity accomplished.
      Written by Abigail Fraeman, Planetary Geologist at NASA’s Jet Propulsion Laboratory
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      Last Updated Feb 17, 2025 Related Terms
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