#landsat — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #landsat, aggregated by home.social.
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Vine by Vine - Conserving Water with Landsat
#Agriculture #Biosphere #Landsat
⏩ 1 new picture and 1 new video from NASA (SVS) https://commons.wikimedia.org/w/index.php?search=incategory%3A%22NASA+SVS+files+uploaded+by+OptimusPrimeBot%22&sort=create_timestamp_desc&ns6=1
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Vine by Vine - Conserving Water with Landsat
#Agriculture #Biosphere #Landsat
⏩ 1 new picture and 1 new video from NASA (SVS) https://commons.wikimedia.org/w/index.php?search=incategory%3A%22NASA+SVS+files+uploaded+by+OptimusPrimeBot%22&sort=create_timestamp_desc&ns6=1
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#ESA:
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Europas Wälder verlieren seit 2018 deutlich mehr Biomasse
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"Europas Wälder verlieren mehr Biomasse als bisher angenommen. Faktoren wie Dürre und Schädlingsbefall verursachen zunehmend große Verluste in einigen der ältesten Wälder Europas. Seit 2018 hat sich diese Situation deutlich verschlechtert."5.8.2026
#Abholzung #Biomasse #Dürre #EO #Europa #Erdbeobachtung #Klimawandel #Landsat #Raumfahrt #Satelliten #SpaceFlight #Wald
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#ESA:
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Europas Wälder verlieren seit 2018 deutlich mehr Biomasse
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"Europas Wälder verlieren mehr Biomasse als bisher angenommen. Faktoren wie Dürre und Schädlingsbefall verursachen zunehmend große Verluste in einigen der ältesten Wälder Europas. Seit 2018 hat sich diese Situation deutlich verschlechtert."5.8.2026
#Abholzung #Biomasse #Dürre #EO #Europa #Erdbeobachtung #Klimawandel #Landsat #Raumfahrt #Satelliten #SpaceFlight #Wald
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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 -
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 -
Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.
🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).
📊 Key Findings:
🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.
🔗 Link to the research:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2
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Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.
🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).
📊 Key Findings:
🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.
🔗 Link to the research:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2
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We mapped urban heat island intensification in Minneapolis–St. Paul and Chicago with 32 years of Landsat (1984–2016). The pattern is stubborn: land-cover change writes itself into surface temperature, neighborhood by neighborhood, and it compounds.
Paper in Geocarto International: https://doi.org/10.1080/10106049.2019.1655802
#UrbanHeatIsland #Landsat #RemoteSensing #ClimateChange #Cities
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We mapped urban heat island intensification in Minneapolis–St. Paul and Chicago with 32 years of Landsat (1984–2016). The pattern is stubborn: land-cover change writes itself into surface temperature, neighborhood by neighborhood, and it compounds.
Paper in Geocarto International: https://doi.org/10.1080/10106049.2019.1655802
#UrbanHeatIsland #Landsat #RemoteSensing #ClimateChange #Cities
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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 -
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 -
#Earthdata:
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Little Water Left in San Carlos ReservoirOPERA's dynamic surface water extent layer and Landsat images show extremely low water levels in this Arizona reservoir in June 2026.
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https://www.earthdata.nasa.gov/news/worldview-image-archive/little-water-left-san-carlos-reservoir29.6.2026
#Arizona #CoolidgeDam #EO #Erdbeobachtung #Klimakrise #Klimawandel #Landsat #LowWater #NASA #Niedrigwasser #reservoir #SanCarlosReservoir #Sentinel2 #Staudamm #USA #Wasser #Water
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#Earthdata:
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Little Water Left in San Carlos ReservoirOPERA's dynamic surface water extent layer and Landsat images show extremely low water levels in this Arizona reservoir in June 2026.
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https://www.earthdata.nasa.gov/news/worldview-image-archive/little-water-left-san-carlos-reservoir29.6.2026
#Arizona #CoolidgeDam #EO #Erdbeobachtung #Klimakrise #Klimawandel #Landsat #LowWater #NASA #Niedrigwasser #reservoir #SanCarlosReservoir #Sentinel2 #Staudamm #USA #Wasser #Water
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Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
(Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
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https://www.ecoticias.com/en/scientists-see-more-vegetation-in-the-himalayas-but-it-is-not-good-news-because-that-extra-green-can-disrupt-water-snow-and-high-mountain-biodiversity/33120/ <-- shared technical article
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https://news.exeter.ac.uk/faculty-of-environment-science-and-economy/earth-and-environmental-science/plants-growing-higher-across-himalaya-as-climate-warms/ <-- shared technical newsitem
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https://doi.org/10.1002/ecog.08259 <-- shared (2026) paper
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https://doi.org/10.1111/gcb.14919 <-- shared (2020) paper
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“For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”
#GIS #spatial #mapping #remotesensing #earthobservation #satellite #landsat #landcover #NDVI #Himalaya #Nepal #India #Bhutan #climatechange #glacier #vegetation #alpine #level #greening #spatialanalysis #spatiotemporal #snow #water #ice #hydrography #hydrology #ecosystems #humaninpacts #phenology #model #modeling #HighMountainAsia #greenness #ERA5 #vegetationline #altitude #climatictrends #warming #precipitation #rainfall -
Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
(Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
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https://www.ecoticias.com/en/scientists-see-more-vegetation-in-the-himalayas-but-it-is-not-good-news-because-that-extra-green-can-disrupt-water-snow-and-high-mountain-biodiversity/33120/ <-- shared technical article
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https://news.exeter.ac.uk/faculty-of-environment-science-and-economy/earth-and-environmental-science/plants-growing-higher-across-himalaya-as-climate-warms/ <-- shared technical newsitem
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https://doi.org/10.1002/ecog.08259 <-- shared (2026) paper
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https://doi.org/10.1111/gcb.14919 <-- shared (2020) paper
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“For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”
#GIS #spatial #mapping #remotesensing #earthobservation #satellite #landsat #landcover #NDVI #Himalaya #Nepal #India #Bhutan #climatechange #glacier #vegetation #alpine #level #greening #spatialanalysis #spatiotemporal #snow #water #ice #hydrography #hydrology #ecosystems #humaninpacts #phenology #model #modeling #HighMountainAsia #greenness #ERA5 #vegetationline #altitude #climatictrends #warming #precipitation #rainfall -
Testing for the Katalyst-NASA Swift Boost Mission 🌎
#Ast #Astrophysics #Earth #GammaRayBurst #Landsat #RoboticArm #Robotics #Space
⏩ 2 new pictures and 1 new video from NASA (SVS) https://commons.wikimedia.org/wiki/Special:ListFiles?limit=20&user=OptimusPrimeBot&ilshowall=1&offset=20260528130128
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Testing for the Katalyst-NASA Swift Boost Mission 🌎
#Ast #Astrophysics #Earth #GammaRayBurst #Landsat #RoboticArm #Robotics #Space
⏩ 2 new pictures and 1 new video from NASA (SVS) https://commons.wikimedia.org/wiki/Special:ListFiles?limit=20&user=OptimusPrimeBot&ilshowall=1&offset=20260528130128
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NASA Earth Observatory image of the day
A Full Moon Checkup
Credits: Landsat Project Science Support/Ross Walter
https://science.nasa.gov/earth/earth-observatory/a-full-moon-checkup/
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NASA Earth Observatory image of the day
A Full Moon Checkup
Credits: Landsat Project Science Support/Ross Walter
https://science.nasa.gov/earth/earth-observatory/a-full-moon-checkup/
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NASA Landsat Interactive Uses Satellite Imagery to Spell Names with Earth’s Landscapes
📰 Original title: Spell Your Name With Rivers, Deltas, Lakes, and Deserts
🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅View full AI summary: https://en.killbait.com/nasa-landsat-interactive-uses-satellite-imagery-to-spell-names-with-earth-s-landscapes.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world
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NASA Landsat Interactive Uses Satellite Imagery to Spell Names with Earth’s Landscapes
📰 Original title: Spell Your Name With Rivers, Deltas, Lakes, and Deserts
🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅View full AI summary: https://en.killbait.com/nasa-landsat-interactive-uses-satellite-imagery-to-spell-names-with-earth-s-landscapes.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world
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NASA Landsat Interactive Uses Satellite Imagery to Spell Names with Earth’s Landscapes
📰 Original title: Spell Your Name With Rivers, Deltas, Lakes, and Deserts
🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅View full AI summary: https://en.killbait.com/nasa-landsat-interactive-uses-satellite-imagery-to-spell-names-with-earth-s-landscapes.html?utm_source=mastodon_social&utm_medium=social&utm_campaign=killbait.mastodon_social
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TESS Finds Possible New Worlds Using Stellar Eclipses ✨🛰️
#Astrophysics #BinaryStar #Exoplanet #Landsat #Planets #RemoteSensing #Satellite #Space
⏩ 4 new pictures and 3 new videos from NASA (SVS) https://commons.wikimedia.org/wiki/Special:ListFiles?limit=9&user=OptimusPrimeBot&ilshowall=1&offset=20260513130241
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TESS Finds Possible New Worlds Using Stellar Eclipses ✨🛰️
#Astrophysics #BinaryStar #Exoplanet #Landsat #Planets #RemoteSensing #Satellite #Space
⏩ 4 new pictures and 3 new videos from NASA (SVS) https://commons.wikimedia.org/wiki/Special:ListFiles?limit=9&user=OptimusPrimeBot&ilshowall=1&offset=20260513130241
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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 -
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 -
https://science.nasa.gov/mission/landsat/outreach/your-name-in-landsat/
users can type in their name then view and export the graphic of that name spelled out in Earth features found in #Landsat images. #NASA
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https://science.nasa.gov/mission/landsat/outreach/your-name-in-landsat/
users can type in their name then view and export the graphic of that name spelled out in Earth features found in #Landsat images. #NASA
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RE: https://mastodon.social/@sturmsucht/116491953177640789
Cool! Here’s one I made. (Tap for full image.)
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RE: https://mastodon.social/@sturmsucht/116491953177640789
Cool! Here’s one I made. (Tap for full image.)
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Habt ihr es schon ausprobiert? 😍 Danke #NASA! https://science.nasa.gov/specials/your-name-in-landsat/ #landsat
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Habt ihr es schon ausprobiert? 😍 Danke #NASA! https://science.nasa.gov/specials/your-name-in-landsat/ #landsat
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Spell Your Name With Stunning Aerial Pics Of Earth With NASA's Landsat Tool; Here's How
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Spell Your Name With Stunning Aerial Pics Of Earth With NASA's Landsat Tool; Here's How
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Nighttime Imaging Grows Landsat’s Science Value
https://atlas.whatip.xyz/post.php?slug=nighttime-imaging-grows-landsats-science-value
<p>By Earth Resources Observation and Science (EROS) Center For more than 50 years
#nighttime #resources #landsat #science -
Nighttime Imaging Grows Landsat’s Science Value
https://atlas.whatip.xyz/post.php?slug=nighttime-imaging-grows-landsats-science-value
<p>By Earth Resources Observation and Science (EROS) Center For more than 50 years
#nighttime #resources #landsat #science -
"Your Name in Landsat - With this online interactive, users can type in their name then view and export the graphic of that name spelled out in Earth features found in Landsat images."
https://science.nasa.gov/mission/landsat/outreach/your-name-in-landsat/ #NASA #landsat -
"Your Name in Landsat - With this online interactive, users can type in their name then view and export the graphic of that name spelled out in Earth features found in Landsat images."
https://science.nasa.gov/mission/landsat/outreach/your-name-in-landsat/ #NASA #landsat -
You Can Spell Your Name is Aerial Images Thanks to NASA https://petapixel.com/2026/04/27/you-can-spell-your-name-is-aerial-images-thanks-to-nasa/ #satelliteimage #interactive #Features #earthday #landsat #Space #News #NASA
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You Can Spell Your Name is Aerial Images Thanks to NASA https://petapixel.com/2026/04/27/you-can-spell-your-name-is-aerial-images-thanks-to-nasa/ #satelliteimage #interactive #Features #earthday #landsat #Space #News #NASA
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Did you know you could spell your name using satellite images of geographical features? My name is spelled with images from:
📍 Breiðamerkurjökull Glacier, Iceland
📍 Florida Keys
📍 La Primavera, Columbia
📍 Borgarbyggð, Iceland
📍 Yapacani, BoliviaCheck it out at:
👉 https://science.nasa.gov/mission/landsat/outreach/your-name-in-landsat/ -
Did you know you could spell your name using satellite images of geographical features? My name is spelled with images from:
📍 Breiðamerkurjökull Glacier, Iceland
📍 Florida Keys
📍 La Primavera, Columbia
📍 Borgarbyggð, Iceland
📍 Yapacani, BoliviaCheck it out at:
👉 https://science.nasa.gov/mission/landsat/outreach/your-name-in-landsat/ -
NASA has launched a creative Earth Day experience that turns decades of satellite science into personalised art. https://english.mathrubhumi.com/technology/science/nasa-your-name-in-landsat-tool-earth-day-feature-g50tgbmp?utm_source=dlvr.it&utm_medium=mastodon #NASA #Landsat #EarthDay #Art
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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 -
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 -
It is a common belief that higher elevations are naturally cooler. In pristine landscapes, this rule holds firm. But what about urban environments? Humanity moves vast amounts of matter and energy, sometimes fundamentally altering the thermodynamic parameters of our habitat.
🛰️ I correlated summer Land Surface Temperature (LST) data across Calgary’s neighborhoods with the Canadian Medium-Resolution Digital Elevation Model (MRDEM). The chart below illustrates the relationship between "Average Elevation" and "Average Surface Temperature" specifically for established residential communities. As observed, this relationship is notably weak, even though a slight cooling trend persists. Based on my data analysis, elevation above sea level is not a key factor in cooling the city.
#Calgary #OpenData #UrbanHeat #DataScience #ClimateAction #YYC #GreennesOfCalgary #ClimateEquity #EnvironmentalEquity #CityPlanning #RemoteSensing #RStats #Landsat #fossgis #DigitalElevationModel
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It is a common belief that higher elevations are naturally cooler. In pristine landscapes, this rule holds firm. But what about urban environments? Humanity moves vast amounts of matter and energy, sometimes fundamentally altering the thermodynamic parameters of our habitat.
🛰️ I correlated summer Land Surface Temperature (LST) data across Calgary’s neighborhoods with the Canadian Medium-Resolution Digital Elevation Model (MRDEM). The chart below illustrates the relationship between "Average Elevation" and "Average Surface Temperature" specifically for established residential communities. As observed, this relationship is notably weak, even though a slight cooling trend persists. Based on my data analysis, elevation above sea level is not a key factor in cooling the city.
#Calgary #OpenData #UrbanHeat #DataScience #ClimateAction #YYC #GreennesOfCalgary #ClimateEquity #EnvironmentalEquity #CityPlanning #RemoteSensing #RStats #Landsat #fossgis #DigitalElevationModel
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Проект «Уровень-Спутник» или как мы сделали платформу для гидрологов
Как мы сделали сервис, который подбирает спутниковые снимки под уровень воды на гидропосту Всем привет. Меня зовут Александр Иннокентьев, и уже больше года мы с моим коллегой Павлом Головлевым делаем веб-инструмент для гидрологов под названием «Уровень-Спутник».
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💻 I took several completely independent datasets and "pitted" them against each other. One of the results is shown in this chart: the more "concrete" (roads, buildings, parking lots) my machine learning model identified in a community, the higher the surface temperature recorded by the thermal sensor.
🔥 The result: Data from different sources confirm one another. The difference in surface temperature between "green" and "concrete" residential areas averages 8–10°C throughout the summer. On certain days, this gap is likely even wider.
📉 This chart shows only established residential communities. If industrial zones were included, the trend would be even more dramatic. While modeling errors certainly exist, the overall physical pattern is undeniable.
#Calgary #OpenData #UrbanHeat #LULC #DataScience #ClimateAction #YYC #GreennesOfCalgary #ClimateEquity #EnvironmentalEquity #CityPlanning #MachineLearning #RemoteSensing #RStats #Sentinel1 #Sentinel2 #Landsat #fossgis
