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15 U.S.C. CHAPTER 82 – LAND REMOTE SENSING POLICY ACT
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By European Space Agency
Launched just two months ago and still in the process of being commissioned for service, the Copernicus Sentinel-1C satellite is, remarkably, already showing how its radar data can be used to map the shape of Earth’s land surface with extreme precision.
These first cross-satellite ‘interferometry’ results assure its ability to monitor subsidence, uplift, glacier flow, and disasters such as landslides and earthquakes.
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By NASA
Kennedy Space Center Director and charter members of the Florida University Space Research Consortium signed a memorandum of understanding on Jan. 8, 2025. From left: Jennifer Kunz, Associate Director, Technical, Kennedy Space Center; Kelvin Manning, Deputy Director, Kennedy Space Center; Dr. Kent Fuchs, Interim President, University of Florida; Janet Petro, Director, Kennedy Space Center; Jeanette Nuñez, Florida Lieutenant Governor; Dr. Alexander Cartwright, President, University of Central Florida; Dr. Barry Butler, President, Embry-Riddle Aeronautical University. NASA/Kim Shiflett The future of research and technology at NASA’s Kennedy Space Center in Florida is expanding Wednesday, as Kennedy’s center director and charter members in the Florida University Space Research Consortium signed a memorandum of understanding in research and development to assist with missions and contribute to NASA’s Moon to Mars exploration approach.
Officials from the consortium – designated in 2024 as the state’s official space research entity – NASA leaders, and guests participated in the signing ceremony held at Kennedy, marking a critical milestone in a partnership to advance research, technology development, education, and communication between the spaceport and the state’s growing space industry.
“Through this agreement, NASA will benefit in new and exciting ways from our longtime partnership with the universities that make Florida shine,” said NASA Administrator Bill Nelson. “As we move deeper into this golden era of space exploration, a new generation of thinkers and leaders will lead the way – thinkers and leaders like the researchers, faculty, and students of the Artemis Generation, whom we are pleased to work with through the consortium.”
The creation of the consortium was the result of more than a year of effort by leaders at Kennedy, the University of Florida, the University of Central Florida, and Embry-Riddle Aeronautical University. The agreement highlights the partnership and serves as the official start to partnering activities, with Florida now the only state with a university consortium affiliated with one of NASA’s centers.
Present at the event was Florida Governor Ron DeSantis. “It was great to visit the Space Coast Jan. 8 to announce the Florida University Space Research Consortium—our state’s official space research entity. Home to a thriving aerospace industry and world-class higher education institutions, Florida is the ideal place to launch this initiative. We are primed to lead the nation in developing a blueprint for state-space partnerships into the future.”
The mission of the consortium is to foster a symbiotic relationship between NASA Kennedy and Florida’s universities to drive innovation in space exploration, research, and technology through academic collaboration, joint projects, and workforce development.
“The launch of the Florida University Space Research Consortium is a significant milestone for our state’s aerospace sector, bringing together our world-class education system with cutting edge research and development,” said Lieutenant Governor Jeanette Nuñez. “This consortium will undoubtedly further strengthen and deepen Florida’s position as the leader in the global aerospace economy.”
The memorandum of understanding marks the dawn of a new era of cooperation between the Florida spaceport and the state’s university system, starting with the three charter universities with plans to expand to other state universities interested in participating. The push to enhance research and technological collaboration with universities has been a priority at NASA for years and has seen success at other NASA centers across the country.
While Kennedy becomes the first NASA center affiliated with a university consortium, recently NASA’s Ames Research Center in California’s Silicon Valley partnered with University of California, Berkeley, on development of the Berkeley Space Center at NASA Research Park, located at Ames. Still in development, the project is envisioned as a 36-acre discovery and innovation hub to include educational spaces, labs, offices, student housing, and a new conference center. More recently, NASA’s Johnson Space Center in Houston teamed up with Texas A&M University to break ground on a building that will become a testing laboratory for apparatuses in development for NASA’s Moon to Mars plans. In attendance for the groundbreaking was Kennedy Space Center Director Janet Petro, who was one of the signatories on the agreement.
NASA’s Kennedy Space Center Director Janet Petro signs a memorandum of understanding between Kennedy Space Center and the Florida University Space Research Consortium on Jan. 8, 2025. NASA/Kim Shiflett “This agreement is a shining example of what it looks like when we link arms and create a space for the whole to be greater than all our parts,” said Petro. “This symbiotic partnership makes way for collaborative research opportunities and increased exposure to advanced technology, significantly enhancing NASA’s research output in fields such as aerospace engineering, materials science, robotics, and environmental science, all of which are necessary for long-term human exploration as we learn to live and work deeper into space than ever before.”
For more information about NASA Kennedy, visit:
https://www.nasa.gov/kennedy
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By NASA
Dr. Jeannette Wing and Dr. Christa Peters-Lidard sign a collaborative Space Act Agreement at NASA’s Goddard Space Flight Center on Monday, Dec. 16, 2024. NASA/Travis Wohlrab NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and Columbia University in New York, New York, enacted a collaborative Space Act Agreement to advance research and education opportunities during a signing ceremony Monday, Dec. 16, at Goddard.
Presiding over the ceremony were Dr. Christa Peters-Lidard, director of Goddard’s Sciences and Exploration directorate, and Dr Jeannette Wing, executive vice president for research and professor of computer science at Columbia University.
Columbia University has been a trusted partner for many years and has a long history of interactions with Goddard Space Flight Center. Notably, the Goddard Institute for Space Studies (GISS) is located at Columbia University serving as a laboratory in Goddard’s Earth Sciences Division and is affiliated with the Columbia Climate School and School of Engineering and Applied Science.
The agreement expands NASA’s CU partnership to Goddard’s Greenbelt campus and will be centered around collaborative research, education, technology development, workforce development, science and engineering exchanges, applied science, commercial as well as nonprofit research along with technology infusion.
Areas of mutual interest include but are not limited to: artificial intelligence, foundation models, machine learning, and data science; climate sustainability, justice, adaptation, and resilience; materials and sensors; quantum sensing and computing; Earth science, planetary science, heliophysics, physics and astrophysics.
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Last Updated Dec 18, 2024 EditorKaty MersmannContactJeremy Eggers Related Terms
Goddard Institute for Space Studies Goddard Space Flight Center View the full article
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By NASA
8 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Return to 2024 SARP Closeout Faculty Advisors:
Dr. Tom Bell, Woods Hole Oceanographic Institution
Dr. Kelsey Bisson, NASA Headquarters Science Mission Directorate
Graduate Mentor:
Kelby Kramer, Massachusetts Institute of Technology
Kelby Kramer, Graduate Mentor
Kelby Kramer, graduate mentor for the 2024 SARP Ocean Remote Sensing group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.
Lucas DiSilvestro
Shallow Water Benthic Cover Type Classification using Hyperspectral Imagery in Kaneohe Bay, Oahu, Hawaii
Lucas DiSilvestro
Quantifying the changing structure and extent of benthic coral communities is essential for informing restoration efforts and identifying stressed regions of coral. Accurate classification of shallow-water benthic coral communities requires high spectral and spatial resolution, currently not available on spaceborne sensors, to observe the seafloor through an optically complex seawater column. Here we create a shallow water benthic cover type map of Kaneohe Bay, Oahu, Hawaii using the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) without requiring in-situ data as inputs. We first run the AVIRIS data through a semi-analytical inversion model to derive color dissolved organic matter, chlorophyll concentration, bottom albedo, suspended sediment, and depth parameters for each pixel, which are then matched to a Hydrolight simulated water column. Pure reflectance for coral, algae, and sand are then projected through each water column to create spectral endmembers for each pixel. Multiple Endmember Spectral Mixture Analysis (MESMA) provides fractional cover of each benthic class on a per-pixel basis. We demonstrate the efficacy of using simulated water columns to create surface reflectance spectral endmembers as Hydrolight-derived in-situ endmember spectra strongly match AVIRIS surface reflectance for corresponding locations (average R = 0.96). This study highlights the capabilities of using medium-fine resolution hyperspectral imagery to identify fractional cover type of localized coral communities and lays the groundwork for future spaceborne hyperspectral monitoring of global coral communities.
Atticus Cummings
Quantifying Uncertainty In Kelp Canopy Remote Sensing Using the Harmonized Landsat Sentinel-2 Dataset
Atticus Cummings
California’s giant kelp forests serve as a major foundation for the region’s rich marine biodiversity and provide recreational and economic value to the State of California. With the rising frequency of marine heatwaves and extreme weather onset by climate change, it has become increasingly important to study these vital ecosystems. Kelp forests are highly dynamic, changing across several timescales; seasonally due to nutrient concentrations, waves, and predator populations, weekly with typical growth and decay, and hourly with the tides and currents. Previous remote sensing of kelp canopies has relied on Landsat imagery taken with a eight-day interval, limiting the ability to quantify more rapid changes. This project aims to address uncertainty in kelp canopy detection using the Harmonized Landsat and Sentinel-2 (HLS) dataset’s zero to five-day revisit period. A random forest classifier was used to identify pixels that contain kelp, on which Multiple Endmember Spectral Mixture Analysis (MESMA) was then run to quantify intrapixel kelp density. Processed multispectral satellite images taken within 3 days of one another were paired for comparison. The relationship between fluctuations in kelp canopy density with tides and currents was assessed using in situ data from an acoustic doppler current profiler (ADCP) at the Santa Barbara Long Term Ecological Research site (LTER) and a NOAA tidal buoy. Preliminary results show that current and tidal trends cannot be accurately correlated with canopy detection due to other sources of error. We found that under cloud-free conditions, canopy detection between paired images varied on average by 42%. Standardized image processing suggests that this uncertainty is not created within the image processing step, but likely arises due to exterior factors such as sensor signal noise, atmospheric conditions, and sea state. Ultimately, these errors could lead to misinterpretation of remotely sensed kelp ecosystems, highlighting the need for further research to identify and account for uncertainties in remote sensing of kelp canopies.
Jasmine Sirvent
Kelp Us!: A Methods Analysis for Predicting Kelp Pigment Concentrations from Hyperspectral Reflectance
Jasmine Sirvent
Ocean color remote sensing enables researchers to assess the quantity and physiology of life in the ocean, which is imperative to understanding ecosystem health and formulating accurate predictions. However, without proper methods to analyze hyperspectral data, correlations between spectral reflectance and physiological traits cannot be accurately derived. In this study, I explored different methods—single variable regression, partial least squares regressions (PLSR), and derivatives—in analyzing in situ Macrocystis pyrifera (giant kelp) off the coast of Santa Barbara, California in order to predict pigment concentrations from AVIRIS hyperspectral reflectance. With derivatives as a spectral diagnostic tool, there is evidence suggesting high versus low pigment concentrations could be diagnosed; however, the fluctuations were within 10 nm of resolution, thus AVIRIS would be unable to reliably detect them. Exploring a different method, I plotted in situ pigment measurements — chlorophyll a, fucoxanthin, and the ratio of fucoxanthin to chlorophyll a—against hyperspectral reflectance that was resampled to AVIRIS bands. PLSR proved to be a more successful model because of its hyperdimensional analysis capabilities in accounting for multiple wavelength bands, reaching R2 values of 0.67. Using this information, I constructed a model that predicts kelp pigments from simulated AVIRIS reflectance using a spatial time series of laboratory spectral measurements and photosynthetic pigment concentrations. These results have implications, not only for kelp, but many other photosynthetic organisms detectable by hyperspectral airborne or satellite sensors. With these findings, airborne optical data could possibly predict a plethora of other biogeochemical traits. Potentially, this research would permit scientists to acquire data analogous to in situ measurements about floating matters that cannot financially and pragmatically be accessed by anything other than a remote sensor.
Isabelle Cobb
Correlations Between SSHa and Chl-a Concentrations in the Northern South China Sea
Isabelle Cobb
Sea surface height anomalies (SSHa)–variations in sea surface height from climatological averages–occur on seasonal timescales due to coastal upwelling and El Niño-Southern Oscillation (ENSO) cycles. These anomalies are heightened when upwelling plumes bring cold, nutrient-rich water to the surface, and are particularly strong along continental shelves in the Northern South China Sea (NSCS). This linkage between SSHa and nutrient availability has interesting implications for changing chlorophyll-a (chl-a) concentrations, a prominent indicator of phytoplankton biomass that is essential to the health of marine ecosystems. Here, we evaluate the long-term (15 years) relationship between SSHa and chl-a, in both satellite remote sensing data and in situ measurements. Level 3 SSHa data from Jason 1/2/3 satellites and chl-a data from MODIS Aqua were acquired and binned to monthly resolution. We found a significant inverse correlation between SSHa and chl-a during upwelling months in both the remote sensing (Spearman’s R=-0.57) and in situ data, with higher resolution in situ data from ORAS4 (an assimilation of buoy observations from 2003-2017) showing stronger correlations (Spearman’s R=-0.75). In addition, the data reveal that the magnitude of SSH increases with time during instances of high correlation, possibly indicating a trend of increased SSH associated with reduced seasonal chl-a concentrations. Thus, this relationship may inform future work predicting nutrient availability and threats to marine ecosystems as climate change continues to affect coastal sea surface heights.
Alyssa Tou
Exploring Coastal Sea Surface Temperature Anomalies and their effect on Coastal Fog through analyzing Plant Phenology
Alyssa Tou
Marine heat waves (MHW) have been increasing in frequency, duration and intensity, giving them substantial potential to influence ecosystems. Do these MHWs sufficiently enhance coastal precipitation such that plant growth is impacted? Recently, the Northeast Pacific experienced a long, intense MHW in 2014/2015, and another short, less intense MHW in 2019/2020. Here we investigate how the intensity and duration of MHWs influence the intensity and seasonal cycle of three different land cover types (‘grass’, ‘trees’, and a combination of both ‘combined’’) to analyze plant phenology trends in Big Sur, California. We hypothesize that longer intense MHWs decrease the ocean’s evaporative capacity, decreasing fog, thus lowering plant productivity, as measured by Normalized Difference Vegetation Index (NDVI). Sea surface temperature (SST) and NDVI data were collected from the NOAA Coral Reef Watch, and NASA MODIS/Terra Vegetation Indices 16-Day L3 Global 250m products respectively. Preliminary results show no correlation (R2=0.02) between SSTa and combined NDVI values and no correlation (R2=0.01) between SST and NDVI. This suggests that years with anomalously high SST do not significantly impact plant phenology. During the intense and long 2014/2015 MHW, peak NDVI values for ‘grass’ and ‘combined’ pixels were 2.0 and 1.7 standard deviations above the climatological average, while the shorter 2019/2020 MHW saw higher peaks of 3.2 and 2.4 standard deviations. However, the ‘grass’, ‘tree’ and ‘combined’ NDVI anomalies were statistically insignificant during both MHWs, showing that although NDVI appeared to increase during the shorter and less intense MHW, these values may be attributed to other factors. The data qualitatively suggest that MHW’s don’t impact the peak NDVI date, but more data at higher temporal resolution are necessary. Further research will involve analyzing fog indices and exploring confounding variables impacting NDVI, such as plant physiology, anthropogenic disturbance, and wildfires. In addition, it’s important to understand to what extent changes in NDVI are attributed to the driving factors of MHWs or the MHWs themselves. Ultimately, mechanistically understanding the impacts MHW intensity and duration have on terrestrial ecosystems will better inform coastal community resilience.
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Last Updated Nov 22, 2024 Related Terms
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By European Space Agency
A new European Space Agency-backed study shows that the extreme heatwaves of 2023, which fuelled huge wildfires and severe droughts, also undermined the land’s capacity to soak up atmospheric carbon. This diminished carbon uptake drove atmospheric carbon dioxide levels to new highs, intensifying concerns about accelerating climate change.
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