#landsat — Public Fediverse posts

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

🚀 Thinking about building Landsat‑10 in your garage?
Better hurry — NASA’s RFP is out and the clock’s ticking. Early delivery even gets you a bonus.
Details: https://www.usgs.gov/landsat-missions/news/nasa-releases-landsat-10-spacecraft-request-proposal
#EarthObservation #Landsat

This #SOTMUS2026 session demonstrates a #Python program used to identify #urbanheatislands by utilizing #LANDSAT thermal band imagery and #OSM ways exported through #Overpass. The program calculates the land surface temperature exposure for each way.

🦩

🔗 https://youtu.be/En2dNw2K3SQ?si=MoryVd0_7pRw_yVn

🦩

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

#ESA:
"
Europas Wälder verlieren seit 2018 deutlich mehr Biomasse
"
"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."

https://www.esa.int/Space_in_Member_States/Germany/Europas_Waelder_verlieren_seit_2018_deutlich_mehr_Biomasse

5.8.2026

#Abholzung #Biomasse #Dürre #EO #Europa #Erdbeobachtung #Klimawandel #Landsat #Raumfahrt #Satelliten #SpaceFlight #Wald

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

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

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:
"
Little Water Left in San Carlos Reservoir

OPERA's dynamic surface water extent layer and Landsat images show extremely low water levels in this Arizona reservoir in June 2026.
"
https://www.earthdata.nasa.gov/news/worldview-image-archive/little-water-left-san-carlos-reservoir

29.6.2026

#Arizona #CoolidgeDam #EO #Erdbeobachtung #Klimakrise #Klimawandel #Landsat #LowWater #NASA #Niedrigwasser #reservoir #SanCarlosReservoir #Sentinel2 #Staudamm #USA #Wasser #Water

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

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/

#Moon #Earth #Landsat #USGS #space #science #news #astrodon

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

#science #nasa #landsat #satelliteimagery

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

Die #NASA hat ein Webtool, mit dem man Namen bzw. Wörter mit #Landsat Satellitenbildern von Flüssen, Seen u.ä. schreiben kann:

https://science.nasa.gov/specials/your-name-in-landsat/

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

RE: https://mastodon.social/@sturmsucht/116491953177640789

Cool! Here’s one I made. (Tap for full image.)

#nasa #landsat #freepalestine

#NASA released an image generator (non-ai) where you can insert your name and it will display as #Landsat images from around the world.

https://science.nasa.gov/mission/landsat/outreach/your-name-in-landsat/

#fckafd #earth

Habt ihr es schon ausprobiert? 😍 Danke #NASA! https://science.nasa.gov/specials/your-name-in-landsat/ #landsat

Spell Your Name With Stunning Aerial Pics Of Earth With NASA's Landsat Tool; Here's How

https://web.brid.gy/r/https://in.mashable.com/science/109112/spell-your-name-with-stunning-aerial-pics-of-earth-with-nasas-landsat-tool-heres-how

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

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

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, Bolivia

Check it out at:
👉 https://science.nasa.gov/mission/landsat/outreach/your-name-in-landsat/

#Geography #LandSat #Satellite