#landsat — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #landsat, aggregated by home.social.
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On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
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https://doi.org/10.1016/j.rse.2026.115633 <-- shared paper
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https://espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
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https://etdata.org/ <-- OpenET SSEBop platform implementation (water management)
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https://www.usgs.gov/landsat-missions/landsat-collection-2-provisional-actual-evapotranspiration-science-product <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
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H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
“This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
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“HIGHLIGHTS
• ESPA platform allows access to on-demand, global, Landsat-based, ET products.
• SSEBop model has been used to create ET data since 1982 through ESPA.
• A quick estimation of field-scale crop consumptive water use can be achieved.
• Numerous orders reflect worldwide extensive interest and utilization of the data.
• Method, workflow, and performance of the actual ET data are presented in the study..."
#EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
@USGS @EROS -
Au mois d’août, l’Atacama (Chili) a connu des chutes de neige, un phénomène très inhabituel dans cette région parmi les plus arides du monde. Si le sommet du volcan Licancabur (ici à gauche) est parfois coiffé d’un chapeau blanc, il est fort rare que la neige descende jusqu’à son pied, comme sur cette image satellite capturée le 14 août dernier.
Ce manteau blanc souligne les « pressure ridges » à la surface des coulées de lave visqueuse qui rayonnent depuis le sommet. Ces structures en arc de cercle se forment perpendiculairement à l’écoulement. Leur morphologie rappelle celle des ogives glaciaires, même si le processus de genèse est différent. -
Die Erde von oben: Das @DLR macht mit Hilfe der TUM und des LRZ sein Archiv mit #Landsat -Daten zugänglich – ein #Archiv für #umweltdaten Diese liefern unter anderem Bilder der Oberflächentemperaturen, etwa von #munchen wie unten. Bislang stellt die @nasa Landsat-Daten zur Verfügung. Das macht die Wissenschaft abhängig von politischen Entscheidungen.
Zudem werden Infrastrukturen zur Speicherung dieser Daten aufgebaut: https://www.ls.tum.de/ls/presse/aktuelles/nachricht-detail/article/tum-und-dlr-sichern-landsat-archiv/ -
Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley
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https://doi.org/10.3390/rs18142282 <-- shared paper
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https://www.usgs.gov/publications/comparing-desis-hyperspectral-and-landsat-10-simulated-superspectral-data-crop-type <-- shared USGs publication page
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H/T @USGS
“How can we get better at classifying crops from space? 🛰️🌽
Some types of satellite imagery are better at distinguishing crops than others. A USGS study compared two approaches and found one produced more accurate crop maps.
Here's what the researchers found:
• Hyperspectral imagery achieved 86% accuracy, compared to 75% for simulated superspectral imagery.
• Using just 14 carefully selected hyperspectral bands produced nearly the same results as using all 60 DLR Earth Sensing Imaging Spectrometer (DESIS) bands, showing those wavelengths contain much of the information needed to distinguish crop types.
• Using superspectral imagery on the upcoming Landsat 10 mission will allow for routine tracking of crops and enhance finer crop mapping.
• The findings help scientists identify which wavelengths provide the most useful information for crop mapping and future remote sensing applications.
Better crop maps will help governments and scientists track global agriculture, monitor the current crop season, and study agricultural trends…”
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“HIGHLIGHTS:
• What are the main findings?
- The 14 DESIS hyperspectral narrowbands (10 nm) aligned with the Landsat 10 (formerly Landsat Next) spectral dataset produced similar accuracy results to the full 60-band DESIS hyperspectral dataset for classifying crop types. These 14 DESIS narrowbands resulted in higher accuracy than the 14 simulated Landsat 10 superspectral broadbands.
- When using DESIS narrowbands, Support Vector Machine (SVM) resulted in higher accuracy than Random Forest (RF).
• What are the implications of the main findings?
- A carefully selected set of 14 DESIS hyperspectral narrowbands (10 nm) can achieve classification accuracy comparable to those obtained using all 60 DESIS narrowbands across the 400–1000 nm range. These 14 strategically positioned narrowbands classified crop types with higher classification accuracy than the corresponding 14 Landsat 10 superspectral broadbands within the same spectral range.
- This study underscores the importance of multi-temporal imagery across the full crop-growing season for achieving more detailed and accurate crop type classifications. Such temporal coverage is more feasible with the planned Landsat 10 routine acquisition of broadband imagery than with task-based hyperspectral collections…”
#hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture #crops #croptype #classifaction #croplands #California #CentralValley #GIS #spatial #mapping #remotesensing #earthobservation #imagery #DESIS #Landsat #Landsat10 #satellite #spatialanalysis #spatiotemporal #global #AI #machinelearning #model #modeling #SupportVectorMachine #SVM #RandomForest #RF #GoogleEarthEngine
@USGS -
Enhancements To The USGS Landsat Level 2 Surface Temperature And Emissivity Product For Collection3 Reprocessing
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https://doi.org/10.1016/j.rse.2026.115563 <-- shared paper
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H/T @terry Sohl | USGS EROS Science Branch Chief
“HIGHLIGHTS:
• C3 advances Landsat TIR atmospheric correction, emissivity correction, and uncertainty estimates.
• C3 enables global surface temperature products, including polar regions.
• C3 retrievals improve accuracy and consistency across validation sites.
• Split window and single channel methods diverge at extreme temperature conditions.
• C3 and Landsat 10 support multi-decadal climate monitoring.
ABSTRACT: The Landsat program provides the longest continuous global record of thermal infrared observations of the Earth's surface, underpinning critical applications in climate monitoring, water resources, ecosystem dynamics, urban heat analysis, and natural hazard assessment. The release of a global inventory of Landsat Collection 2 Level 2 surface temperature products by the U.S. Geological Survey (USGS) marked a major milestone in operational provision of Landsat thermal infrared analysis-ready data. Ongoing validations and community uses of Collection 2 have identified opportunities to further improve accuracy, uncertainty characterization, and emissivity correction across diverse atmospheric and surface conditions. In preparation for the planned Landsat Collection 3 reprocessing of the Landsat data record in the late 2020s, the USGS is implementing a coordinated set of enhancements to the Level 2 surface temperature products. These include revised emissivity estimation that leverages external datasets, improved atmospheric characterization and uncertainty propagation, expanded dynamic range for high temperature targets, consideration of split window atmospheric correction algorithm for Landsat 8 and 9, and decoupling of thermal infrared processing from visible to shortwave infrared constraints to enable surface temperature retrievals under low or no solar illumination conditions. These changes are designed to improve product quality and consistency across the Landsat record. Beyond near-term performance gains, the Collection 3 design establishes a scalable processing architecture to accommodate the expanded spectral and radiometric measurement capabilities of the forthcoming Landsat 10 mission. By preserving continuity across the Landsat 4–9 record while enabling future algorithm evolution, Landsat Collection 3 will provide a foundation for long-term, multi-decadal Earth system thermal infrared observations…”
#GIS #spatial #mapping #satellite #remotesening #earthobservation #Landsat #thermalinfrared #TIR #surface #temperature #emissivity #thermal #infrared #analysisreadydata #Collection2 #Collection3 #opendata #atmosphericcorrection #global #climate #monitoring #waterresources #ecosystems #dynamics #urbanheat #spatialanalysis #spatiotemporal #naturalhazards #updates #EROS #USGS
@USGS EROS | @USGS -
A Scale-Invariance-Based Algorithm Application For Land Surface Temperature Downscaling In Denmark
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https://doi.org/10.3390/rs18132263 <-- shared paper
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https://zenodo.org/records/20863040 <-- shared open data for downscaled LST dataset for Copenhagen
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H/T @CLIM4cities
#urbanclimate #downscaling #landsurfacetemperature #LST #AI #machinelearning #scaleinvariance #residualcorrection #Sentinel #Landsat #satellite #remotesensing #earthobservation #CLIM4cities #UrbanClimate #ClimateServices #MachineLearning #ClimateAdaptation #heatwave #temperature #ontheground #Copenhagen #Denmark #impervioussurface #asphalt #roof #concrete #albedo #heatabsorption #mitigation #urban #urbancentre #treecover #vegetation #urbanheatisland #planning #design #hotspots #monitoring #spatialanalysis #spatiotemporal #model #modeling #usecase #operational #climatechange #extremeweather #evidencebased #adapation #sustainability #urbanplanning #climateresilience #EssentialClimateVariable #ECV
@+ATLANTIC | @Danish Meteorological Institute | @ESA Φ-lab Collaborative Innovation Network | @CLIM4cities -
Characterizing Wildfire Behavior With ECOSTRESS Land Surface Temperature Across Four California Case Studies
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https://doi.org/10.1016/j.ecoinf.2026.103777 <-- shared paper
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#GIS #spatial #mapping #ECOSTRESS #remotesensing #earthobservation #wildfire #increased #frequency #intensity #forestfire #monitoring #hotspot #detection #Rateofspread #HotspotBurn #severity #spatialanalysis #spatiotemporal #VIIRS #fireradiativepower #FRP #landsurface #temperature #California #casestudy #burn #severity #dNBR #landsat #satellite #WesternUSA #extremeweather #climatechange #water #hydrology #hydrometeorology #drought #humanactivity #humanimpacts #ECOsystemSpaceborneThermalRadiometerExperimentonSpaceStation #ISS #spacestation #LST #rateofspread
@nasa -
Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
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https://doi.org/10.1016/j.iswcr.2026.100657 <-- shared paper
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https://infonile.org/en/2023/05/battling-for-survival-along-the-warming-source-of-the-blue-nile/ <-- shared technical media article
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https://doi.org/10.1007/978-3-031-65241-7_4 <-- shared technical book chapter
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https://doi.org/10.3390/rs8121020 <-- shared 2016 paper
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#landuse #landcover #RUSLE #model #soil #erosion #sedimentation #GERD #catchment #NorthAfrica #Ethiopia #AbbayBasin #sustainability #landmanagement #agriculture #farmland #foodsecurity #water #hydrogology #reservior #watermanagement #watersecurity #waterresources #catchment #GrandEthiopianRenaissanceDam #BlueNile #hydrography #impoundment #GIS #spatial #mapping #remotesensing #earthobservation #thematic #spatialanalysis #spatiotemporal #landsat #elevation #DEM #CHIRPS #rainfall #precipitation #LULC #AI #forest #grazing #grassland #field #crops #cropland #waterbodies #urban #biophysical #risk #hazard #mitigation #soilquality -
From Space To Field - Putting satellite insights into growers’ hands [OpenET]
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https://irrigationtoday.org/features/from-space-to-field/ <-- shared technical media article
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https://etdata.org/ <-- shared OpenET home page
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https://www.nasa.gov/image-article/openet-satellite-based-water-data-resource/ <-- shared NASA technical article
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https://youtu.be/Rbobf6aurLs?si=Q0kN9eiZH0gT8O5m <-- shared OpenET overview video
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#OpenET #openscience #opendata #publicgood #publicservice #nonprofit #fedscience #fedservice #evapotranspiration #ET #Landsat #OLI #OperationalLandImager #groundwater #water #hydrology #spatialanalysis #spatiotemporal #agriculture #USA #farming #waterresources #watermanagement #planning #watersecurity #satellite #remotesensing #earthobservation #model #modeling #irrigation #metrology #raster #cost #economics #efficiency #foodproduction #mobileapp #FARMS #view #download #usecase #reporting
#OpenET #USGS #USDA @NASA #USGS_EROS -
The Disappearance of Lac [Lake] Rouge [remote sensing]
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https://www.earthobservatory.nasa.gov/images/154526/the-disappearance-of-lac-rouge <-- Shared NASA Earth Observatory Images Of The Day
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https://www.cbc.ca/news/canada/north/lake-drainage-land-collapse-waswanipi-lake-rouge-lake-doda-1.7539994 <-- shared media article
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“A landscape in central Quebec transformed suddenly in spring 2025 when a lake burst its banks and drained. Members of the nearby community of Waswanipi who use the area for hunting, fishing, and trapping learned of the curious incident in early May, after reports of a washed-out road. Further air- and ground-based investigations revealed that land around the lake had collapsed and that Lac Rouge had emptied..."
#GIS #spatial #mapping #spatiotemporal #water #hydrology #lake #LacRouge #Quebec #Canada #Waswanipi #Cree #FirstNation #wildfire #geomorphometry #outflow #OLI2 #Landsat #Landsat9 #earthobservation #remotesensing #wildlife #habitat #change #ecology #sediment # #snowmelt #rainfall -
A Multi-Level, Multi-Scale Comparison Of Lidar- And LANDSAT-Based Habitat Selection Models Of Mexican Spotted Owls In A Post-Fire Landscape
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https://doi.org/10.1016/j.ecoinf.2025.103168 <-- shared paper
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#GIS #spatial #mapping #Habitat #suitability #Megafire #Scaling #Habitatsuitability #selection #model #modeling #framework #Strixoccidentalis #Wildfire #bushfire #remotesening #LIDAR #elevation #ecosystem #LANDSAT #comparasion #mexican #spottedowl #avian #postfire #landscape #vegetation #ecosystem #damage #risk #hazard #earthobservation #scaling #scale #multifactor #homerange #microhabitat #ecology #recovery #spatialanalysis #spatiotemporal #modelperformance #reliability #accuracy #precision #forest #integration #conservation #landscape #fireaffected #spatialdisagreement -
Thirty Years Of The U.S. National Land Cover Database [NLCD] - Impacts And Future Direction
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https://doi.org/10.14358/PERS.25-00121R2 <-- shared paper
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https://www.usgs.gov/centers/eros/science/annual-national-land-cover-database <-- shared #USGS Annual National Land Cover Database (open data)
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https://www.usgs.gov/centers/eros/science/annual-national-land-cover-database <-- get the open NLCD data
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#GIS #spatial #mapping #history #continuity #improvement #LandCover #Landuse #change #Landsat #NLCD #NationalLandCoverDatabase #earthobservation #remotesensing #landchange #monitoring #fedscience #publicgood #fedopendata #opendata #history #fedservice #MRLCC #USA #download #impervious #surface #forestcanopy #mosaics #accuracy #deeplearning #AI #research #landmanagement #agriculture #water #hydrology #cropland #biodiversity #conservation #urban #planning #publichealth #naturalhazard #assesment #risk #hazard #mitigation #national #nation #multiple #usecase
#USGS | #EROS -
Spectrum Of The Lakes - Using Satellite Remote Sensing To Unveil Water Color In Minnesota's Sentinel Lakes For Water Quality Monitoring
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https://doi.org/10.1080/20442041.2025.2509528 <-- shared paper
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https://www.dnr.state.mn.us/fisheries/slice/index.html <-- shared DNR Sentinel Lakes monitoring programs
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#Satellite #RemoteSensing #hydrology #water #WaterColour #WaterQuality #Chromaticity #SentinelLakes #ecoregion #Minnesota #earthobservation #GIS #spatial #mapping #MidWest #US #waterresources #ecology #ecosystems #watersecurity #Landsat #OLI #surface #lake #waterbody #reflectance #tropic #wavelength #vegetation #catchments #vegetation #MDVW #forests #agriculture #farming #landuse #landcover #management #monitoring #protection -
X2.7 and more flares from Active Region 14087 - May 14, 2025
#EUVImaging #ExtremeUltravioletImaging #Landsat #Multiplesolarflares #PointSpreadFunction(PSF) #SolarActiveRegions #SolarActivity #SolarCycle25
⏩ 2 new pictures and 2 new videos from NASA (SVS) https://commons.wikimedia.org/wiki/Special:ListFiles?limit=8&user=OptimusPrimeBot&ilshowall=1&offset=20250529125935
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Multispectral Remote Sensing Expression of Lineaments and Alteration Minerals in Part of Crystalline Rock Units of Southwestern Nigeria - Implication on Gold Prospecting
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https://doi.org/10.1016/j.oreoa.2025.100091 <-- shared paper
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#GIS #spatial #mapping #ASTER #Gold #Hydrothermal #HydrothermalAlteration #Lineament #Landsat #ETM #EnhancedThematicMapper #phyllic #Ilesha #schist #belt #geology #mining #Nigeria #naturalresources #mineral #mineralresources #golddeposits #aerogeophysical #remotesensing #geophysical #spatialanalysis #geomorphology #geomorphometry #alteration #propylitic #argillic #mineralogy #XRD #structuralgeology #lithology #PrincipalComponentAnalysis #PCA #prospecting #fracture #joints #faulting #Multispectral #Lineaments #Crystalline -
Himalayan Snow Lines On The Rise
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https://earthobservatory.nasa.gov/images/153945/himalayan-snow-lines-on-the-rise <-- shared NASA technical article
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https://www.icimod.org/press-release/snow-update-report-2024-water-shortages-feared-as-hindu-kush-himalaya-sees-extraordinary-below-normal-snow-year-second-lowest-snow-persistence-on-record/ <-- shared technical article on Himalaya snow persistence changes
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#GIS #spatial #mapping #Nepal #India #Himalayas #Himalayan #mountains #climatechange #snowpersistence #remotesensing #earthobservation #glacier #glacial #melting #MountEverest #water #hydrology #cryology #snow #ice #waterresources #watersecurity #waterresources #fire #risk #hazard #OLI2 #Landsat #meteorology #weather #annual #precipitation #monsoon #sublimation #temperature #wind #humidity #extremeweather #wildfire #humanimpacts #snowline #newnormal #agriculture #foodsecurity #drought -
Annual 30 Metre Maps Of Global Grassland Class And Extent (2000–2022) Based On Spatiotemporal Machine Learning
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https://doi.org/10.1038/s41597-024-04139-6 <-- shared paper
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https://landcarbonlab.org/insights/first-global-annual-cultivated-natural-grassland-data/ <-- blog post
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https://developers.google.com/earth-engine/datasets/publisher/global-pasture-watch <-- Google EarthEngine
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https://github.com/wri/global-pasture-watch <-- GitHub Repository
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#GIS #spatial #mapping #workflow #global #grassland #shrubland #vegetation #spatialanalysis #AI #machinelearning #spatiotemporal #remotesensing #earthobservation #GLAD #landsat #imagery #opendata #landcover #agriculture #change #natural #model #modeling #pasture #cultivated #GlobalPastureWatch #grazing #livestock -
Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery
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https://doi.org/10.1016/j.jag.2022.102716 <-- shared 2022 paper
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“HIGHLIGHTS:
• [They] evaluated the impacts of topographic correction on forest mapping in the mountains.
• The enhanced C-correction and the physical model reduced topographic effects.
• The corrected Landsat imagery time series resulted in higher accuracy.
• Terrain information improved classification but not as much as topographic correction.
• [They] recommend using topographic correction for forest cover mapping..."
#GIS #spatial #AtmosphericCorrection #IlluminationCondition #LandCover #ModelComparison #TimeSeries #TopographicCorrection #remotesensing #comparasion #topographic #correction #NDVI #forest #vegetation #model #modeling #spatialanalyis #accuracy #forestcover #Russia #Georgia #CaucasusMountains #spatiotemporal #landsat #elevation #DEM -
Alaska's Rusting Waters - Pristine Rivers And Streams Turning Orange | Metal Mobilization From Thawing Permafrost To Aquatic Ecosystems Is Driving Rusting Of Arctic Streams
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https://phys.org/news/2024-05-alaska-rusting-pristine-rivers-streams.html <-- shared technical article
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https://doi.org/10.1038/s43247-024-01446-z <-- shared paper
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#GIS #spatial #mapping #remotesensing #satellite #imagery #Landsat #earthobservation #Alaska #water #hydrology #Arctic #permafrost #melting #thawing #climatechange #waterchemistry #ecosystem #upland #waterquality #humanimpacts #discolourisation #BrooksRange #aquatic #foodweb #drinkingwater #watersecurity #subsistence #fishing #iron #Fe #rust #minerals #mineralogy #sediment #soil #sampling #pH #sulfides #weathering #erosion #drainage #streamflow #iron #zinc #nickel #copper #cadmium #waterresources #ecosystems -
Types Of Remote Sensing - Devices And Their Applications [broad overview]
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https://eos.com/blog/types-of-remote-sensing/ <-- shared technical article
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[sharing of this blog post should not be considered an endorsement of this company]
#GIS #spatial #mapping #remotesensing #earthobservation #overview #tutorial #instrumentation #satellite #devices #implementations #radar #laser #sensors #usecase #appliedscience #RADARSAT #TerraSARX #SRTM, #EOSDA #ERS #Sentinel #LANDSAT #insar #ifsar #LiDAR -
Toward A Searchable, Network-Linked Database Of River Inundation Extents
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https://waterdata.usgs.gov/blog/nhgf-river-inundation/ <-- shared article
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#GIS #spatial #mapping #water #hydrology #hydrography #hydrofabric #flood #innundation #remotesensing #FIM #modeling #model #remotesensing #imagery #satellite #gischat #spatialanalysis #spatiotemporal #flooding #python #landsat #DSWE #surfacewater #NHD #referencedataset #database #opendata #openaccess #CONUS #NLDI #internetofwater #IOW #network
#USGS -
Hi fellow migrators !
I am an #engineer at the French Space Agency @cnes, and a #researcher at #Cesbio laboratory. I work on time series of #optical #remotesensing images such as #Sentinel2 or #Landsat. I am now #VENųS PI.My specialty is #atmosphericCorrection #CloudDetection, and I am the creator of #MAJA_L2A processor.
I am now the head of Observation Systems team in #Cesbio, not doing much #research anymore but try to help colleagues do their research.