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#landsat — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #landsat, aggregated by home.social.

  1. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    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.)…”
    --
    “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

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  2. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    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.)…”
    --
    “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

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  3. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    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.)…”
    --
    “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

    #workflow #waterresources #wateruse #cropland #farming #espa
  4. 💧🌏 Greg Cocks @GregCocks ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    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.)…”
    --
    “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..."

    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  5. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    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.)…”
    --
    “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

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  6. 💧🌏 Greg Cocks @[email protected] ·

    Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley
    --
    doi.org/10.3390/rs18142282 <-- shared paper
    --
    usgs.gov/publications/comparin <-- shared USGs publication page
    --
    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…”
    --
    “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

    #hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture
  7. EOMasters @[email protected] ·

    🚀 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: usgs.gov/landsat-missions/news
    #EarthObservation #Landsat

    #earthobservation #landsat
  8. 💧🌏 Greg Cocks @[email protected] ·

    Enhancements To The USGS Landsat Level 2 Surface Temperature And Emissivity Product For Collection3 Reprocessing
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    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

    #gis #spatial #mapping #satellite #remotesening #earthobservation
  9. 💧🌏 Greg Cocks @[email protected] ·

    A Scale-Invariance-Based Algorithm Application For Land Surface Temperature Downscaling In Denmark
    --
    doi.org/10.3390/rs18132263 <-- shared paper
    --
    zenodo.org/records/20863040 <-- shared open data for downscaled LST dataset for Copenhagen
    --
    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

    #urbanclimate #downscaling #landsurfacetemperature #lst #ai #machinelearning
  10. 💧🌏 Greg Cocks @[email protected] ·

    Characterizing Wildfire Behavior With ECOSTRESS Land Surface Temperature Across Four California Case Studies
    --
    doi.org/10.1016/j.ecoinf.2026. <-- shared paper
    --
    #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

    #gis #spatial #mapping #ecostress #remotesensing #earthobservation
  11. Unofficial PetaPixel Bot @[email protected] ·

    You Can Spell Your Name is Aerial Images Thanks to NASA petapixel.com/2026/04/27/you-c #satelliteimage #interactive #Features #earthday #landsat #Space #News #NASA

    #satelliteimage #interactive #features #earthday #landsat #space
  12. 💧🌏 Greg Cocks @[email protected] ·

    Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
    --
    doi.org/10.1016/j.iswcr.2026.1 <-- shared paper
    --
    infonile.org/en/2023/05/battli <-- shared technical media article
    --
    doi.org/10.1007/978-3-031-6524 <-- shared technical book chapter
    --
    doi.org/10.3390/rs8121020 <-- shared 2016 paper
    --
    #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

    #landuse #landcover #rusle #model #soil #erosion
  13. 💧🌏 Greg Cocks @[email protected] ·

    Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
    --
    doi.org/10.1016/j.iswcr.2026.1 <-- shared paper
    --
    infonile.org/en/2023/05/battli <-- shared technical media article
    --
    doi.org/10.1007/978-3-031-6524 <-- shared technical book chapter
    --
    doi.org/10.3390/rs8121020 <-- shared 2016 paper
    --
    #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

    #landuse #landcover #rusle #model #soil #erosion
  14. 💧🌏 Greg Cocks @[email protected] ·

    Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
    --
    doi.org/10.1016/j.iswcr.2026.1 <-- shared paper
    --
    infonile.org/en/2023/05/battli <-- shared technical media article
    --
    doi.org/10.1007/978-3-031-6524 <-- shared technical book chapter
    --
    doi.org/10.3390/rs8121020 <-- shared 2016 paper
    --
    #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

    #landuse #landcover #rusle #model #soil #erosion
  15. 💧🌏 Greg Cocks @[email protected] ·

    Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
    --
    doi.org/10.1016/j.iswcr.2026.1 <-- shared paper
    --
    infonile.org/en/2023/05/battli <-- shared technical media article
    --
    doi.org/10.1007/978-3-031-6524 <-- shared technical book chapter
    --
    doi.org/10.3390/rs8121020 <-- shared 2016 paper
    --
    #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

    #soilquality #mitigation #hazard #risk #biophysical #urban
  16. 💧🌏 Greg Cocks @GregCocks ·

    Detecting Land Use And Land Cover Changes And Quantifying Soil Erosion And Sediment Export Using GIS And Remote Sensing In The GERD Catchment, Ethiopia
    --
    doi.org/10.1016/j.iswcr.2026.1 <-- shared paper
    --
    infonile.org/en/2023/05/battli <-- shared technical media article
    --
    doi.org/10.1007/978-3-031-6524 <-- shared technical book chapter
    --
    doi.org/10.3390/rs8121020 <-- shared 2016 paper
    --

    #landuse #landcover #rusle #model #soil #erosion
  17. Eugene @[email protected] ·

    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

    #datascience #rstats #climateaction #opendata #yyc #calgary
  18. 💧🌏 Greg Cocks @[email protected] ·

    Assessment of Shoreline Change in Southeast Ireland Using Geospatial Techniques
    --
    doi.org/10.3390/su18073280 <-- shared paper
    --
    "... KEY INSIGHTS:
    • Coastlines are highly dynamic — 57% accretion vs 42% erosion
    • Strong contrasts between east-facing (Irish Sea) and south-facing (Atlantic) coasts
    • Identification of critical erosion hotspots (e.g., Tramore) and accretion zones in embayments
    • Coastal change is driven by a combination of wave climate, sediment availability, geology, and human activity
    --
    #GIS #spatial #mapping #Ireland #coast #coastal #dynamics #erosion #accretion #shoreline #change #digitalshoreline #spatialanalysis #spatiotemporal #remotesensing #earthobservation #SoutheastIreland #embayments #wave #climate #stormsurge #geology #humanimpacts #coastalmanagement #risk #hazard #mitigation #sealevel #RSL #risingsealevels #climatechanage #adaption #extremeweather #stormintensity #planning #monitoring #sustainable #Landsat #satellite #regional

    #gis #spatial #mapping #ireland #coast #coastal
  19. 💧🌏 Greg Cocks @[email protected] ·

    Combining Remote Sensing With Local Knowledge Is Vital For Understanding Forest Change In West Africa
    --
    doi.org/10.1038/s41598-025-231 <-- shared paper
    --
    #GIS #spatial #mapping #remotesensing #earthobservation #tropical #forest #Africa #satellite #vegetation #ontheground #localobservations #WestAfrica #community #crowdsourcing #Landsat #spatialanalysis #household #surveys #localknowledge #integration #forestcover #deforestration #regrowth #convergence #limitations #imagery #spatiotemporal #Togo #Benin #Nigeria #Cameroon

    #gis #spatial #mapping #remotesensing #earthobservation #tropical
  20. 💧🌏 Greg Cocks @[email protected] ·

    A Multi-Level, Multi-Scale Comparison Of Lidar- And LANDSAT-Based Habitat Selection Models Of Mexican Spotted Owls In A Post-Fire Landscape
    --
    doi.org/10.1016/j.ecoinf.2025. <-- shared paper
    --
    #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

    #gis #spatial #mapping #habitat #suitability #megafire
  21. 💧🌏 Greg Cocks @[email protected] ·

    Thirty Years Of The U.S. National Land Cover Database [NLCD] - Impacts And Future Direction
    --
    doi.org/10.14358/PERS.25-00121 <-- shared paper
    --
    usgs.gov/centers/eros/science/ <-- shared #USGS Annual National Land Cover Database (open data)
    --
    usgs.gov/centers/eros/science/ <-- get the open NLCD data
    --
    #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

    #usgs #gis #spatial #mapping #history #continuity
  22. Doug Bostrom @[email protected] ·

    "With the increased spatial resolution and number of spectral channels, each LandIS instrument is expected to generate up to 1.8 Gbps of raw science data, excluding embedded telemetry and metadata. Given the mission’s primary goal of capturing imagery of all land surfaces and inland water bodies, which collectively cover approximately 30% of the Earth’s surface, each LandIS instrument could produce nearly 6 TB of image data per day. The management of this large volume of data, particularly the storage and transmission to ground stations, presents a significant challenge for the mission architecture. Historically, the Landsat Ground Network has supported X-band frequencies with roughly a 384 Mbps downlink rate to transmit science data (Masek et al., 2020, Irons and Dwyer, 2010). However, with approximately 105 min of contact time per day, the available data transmission volume would be insufficient to fully downlink the expected daily generated data volume, leaving a significant portion of the science image data undelivered. To address this issue, a shift to higher downlink rates using Ka-band frequencies is necessary. With potential Ka-band downlink rates of 2.6 Gbps, and the same 105 min of contact time per day, the transmission of more than 2 TB of data per day would be possible. Although this represents a notable improvement over X-band, this Ka-band system still cannot accommodate the full volume of data generated by the LandIS instruments."

    #LandSat
    #ImageCompression

    sciencedirect.com/science/arti

    #landsat #imagecompression
  23. 💧🌏 Greg Cocks @[email protected] ·

    Spectrum Of The Lakes - Using Satellite Remote Sensing To Unveil Water Color In Minnesota's Sentinel Lakes For Water Quality Monitoring
    --
    doi.org/10.1080/20442041.2025. <-- shared paper
    --
    dnr.state.mn.us/fisheries/slic <-- shared DNR Sentinel Lakes monitoring programs
    --
    #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

    #satellite #remotesensing #hydrology #water #watercolour #waterquality
  24. OptimusPrimeBot @[email protected] ·

    Seeing Earth as Only NASA Can

    #Balloon #EarthScience #GeostationaryOrbit #ISS #Landsat #SolarSystem #airborne

    ▶️ 1 new video from NASA (SVS) commons.wikimedia.org/wiki/Fil

    #balloon #earthscience #geostationaryorbit #iss #landsat #solarsystem
  25. 💧🌏 Greg Cocks @[email protected] ·

    Identification Of Geothermal Anomalies From Landsat Derived Land Surface Temperature, Mount Meager Volcanic Complex, British Columbia, Canada
    --
    doi.org/10.1016/j.rse.2025.114 <-- shared paper
    --
    “Highlights:
    • A novel method for detecting geothermal components from solar energy dominated LST.
    • Using LST time series to eliminate temporal variant solar energy input.
    • Uncertainty in anomaly identification quantified by probability measure.
    • Capable of revealing LST anomalies caused by geothermal, anthropogenic and surface processes..."
    #GIS #spatial #mapping #britishcolumbia #BC #solar #geothermal #remotesensing #earthobservation #LST #spatialanalysis #spatiotemporal #naturalresources #volcanic #geology #geostatistics #landsurfacetemperature #satellite #geothermalheatflux #GHF #energybalance #calculation #model #MountMeager #Landsat #landsat8 #hotspring #landslide #massmovement #engineeringgeology #spring #seep #anthropogenic #HEP #hydropower #monitoring #risk #hazard

    #gis #spatial #mapping #britishcolumbia #bc #solar
  26. 💧🌏 Greg Cocks @[email protected] ·

    Greater Los Angeles Wildfires - January 2025 – Before (20250106) & During (20250114) Landsat Image Swipe Comparo
    --
    usgs.gov/media/before-after/gr <-- shared link to USGS images of LA area, with swipe comparo
    --
    #GIS #spatial #mapping #spatiotemporal #spatialanalysis #LosAngeles #LA #LosAngelesfires #risk #hazard #loss #damage #cost #economics #model #publicsafety #remotesening #Landsat #landsat8 #landsat9 #opendata #imagery #satellite #OLI #OLI2 #January2025 #wildfire #fire #bushfire #infrared #nearinfrared #burnscars #vegetation #contrast
    @USGS

    #gis #spatial #mapping #spatiotemporal #spatialanalysis #losangeles
  27. 💧🌏 Greg Cocks @[email protected] ·

    Striking Satellite Images Reveal Antarctica Is 10 Times Greener Than 35 Years Ago
    --
    sciencealert.com/striking-sate <-- shared technical article
    --
    doi.org/10.1038/s41561-024-015 <-- shared paper
    --
    #GIS #spatial #mapping #remotesensing #landsat #change #Antarctic #AntarcticPeninsula #spatialanalysis #spatiotemporal #climatechange #greening #vegetation #change #warming #satellite #browning #cryosphere #anthropogenic #warming #moss #terrestrial #ecosystems #GoogleEarthEngine #NDVI #TCG #icefree #model #modeling

    #gis #spatial #mapping #remotesensing #landsat #change
  28. 💧🌏 Greg Cocks @[email protected] ·

    Differentiating Cheatgrass And Medusahead Phenological Characteristics In Western United States Rangelands [remote sensing]
    --
    doi.org/10.3390/rs16224258 <-- shared paper
    --
    #GIS #spatial #mapping #vegetation #grassland #cheatgrass #medusahead #BRTE #TACA8 #phenology #growingseason #rangeland #EAG #invasivespecies #management #landmanagers #habitat #cost #loss #economicimpact #ecosystem #deterioration #impacts #USWest #spatialanalysis #spatiotemporal #model #modeling #treemodel #landsat #sentinel #HLS #satellite #remotesensing #vegetationindex #NDVI #research #testcase #corrleation #metrics #controlmeasures #herbicide #cattle #grazing #mitigation #landcover #NLDI

    #gis #spatial #mapping #cheatgrass #medusahead #brte
  29. 💧🌏 Greg Cocks @[email protected] ·

    Landsat Plumbs The (Shallow) Depths [Near Shore TopoBathy]
    --
    earthobservatory.nasa.gov/imag <-- shared NASA images
    --
    doi.org/10.3390/rs16050843 <-- shared paper
    --
    #GIS #spatial #mapping #landsat #coast #coastal #topobathy #remotesensing #bathymetry #depth #shallowwater #hydrography #hydrospatial #modeling #OLI #OperationalLandImager #landsat8 #landsat9 #algorithm #spatialanalysis #physics
    @USGS

    #gis #spatial #mapping #landsat #coast #coastal
  30. 💧🌏 Greg Cocks @[email protected] ·

    Marvelous Lenticularis [NASA Earth Observatory Image Of The Day, September 13th, 2024]
    --
    earthobservatory.nasa.gov/imag <-- shared technical post
    --
    en.wikipedia.org/wiki/Taieri_P <-- Taieri Pet wikipedia page
    --
    #GIS #spatial #mapping #lenticular #cloud #remotesensing #TaieriPet #middlemarch #otago #newzealand #weather #climate #topography #OLI #operationallandimager #landsat #landsat8 #opendata #MetService #lenticulars
    @nasa @USGS

    #gis #spatial #mapping #lenticular #cloud #remotesensing
  31. 💧🌏 Greg Cocks @[email protected] ·

    Eyes on Earth Episode 120 – Mapping the California Coastline [podcast]
    --
    usgs.gov/centers/eros/science/ <-- shared link to podcast
    --
    doi.org/10.1017/cft.2022.4 <-- shared paper
    --
    #GIS #spatial #mapping #research #remotesensing #earthobservation #water #hydrology #marine #hydrospatial #bathymetry #topobathy #elevation #seafloor #landsat #Landsat9 #LandsatNext #resolution #coast #coastline #podcast #interview #California #USA #model #modeling #spatialanalysis #sealevelrise #SLR #sealevel #erosion #climatechange #risk #hazard #opendata #machinelearning #AI #oceangraphy
    @USGS | @USGS_EROS

    #gis #spatial #mapping #research #remotesensing #earthobservation
  32. 💧🌏 Greg Cocks @[email protected] ·

    Eyes on Earth Episode 123 – Bathymetry Mapping
    --
    usgs.gov/centers/eros/science/ <-- shared link to podcast
    --
    linkedin.com/posts/gregcocks_g <-- my earlier overview post
    --
    #GIS #spatial #mapping #research #remotesensing #earthobservation #landsat #satellite #water #hydrology #marine #hydrospatial #bathymetry #topobathy #elevation #seafloor #Landsat9 #LandsatNext #resolution #PuertoRico #Guam #oceanoptics #atmosphere #coast #coastline #podcast #interview
    @USGS @EROS

    #gis #spatial #mapping #research #remotesensing #earthobservation
  33. 💧🌏 Greg Cocks @[email protected] ·

    New National Heat Index [Maps & Data] Uses USGS [EROS] Data
    --
    usgs.gov/centers/eros/news/new <-- link to technical article
    --
    ephtracking.cdc.gov/Applicatio <-- link to CDC Heat & Health Tracker, by ZIP code
    --
    [new national heat index product for the US, relying on USGS EROS impervious cover layer from the National Land Cover Database (NLCD)]
    #GIS #spatial #mapping #NLCD #HeatAndHealthIndex #model #USA #index #publichealth #heat #heat #heatstress #heatexhaustion #heatstroke #climatechange #extremeweather #spatialanalysis #urban #urbanareas #heatislands #corrleation #heatindex #heatcycles #cities #concrete #buildings #vegetation #environment #impervious #impervioussurface #demographics #vulnerable #remotesensing #landsat #ZIPCode #builtenvironments #manmade #development
    @USGS @EROS @CDC

    #heat #gis #spatial #mapping #nlcd #heatandhealthindex
  34. 💧🌏 Greg Cocks @[email protected] ·

    USGS Finds New Way To Measure Ocean Depth With Landsat
    --
    usgs.gov/centers/eros/news/usg <-- shared technical article
    --
    doi.org/10.3390/rs16050843 <-- shared paper
    --
    #GIS #spatial #mapping #research #remotesensing #earthobservation #landsat #satellite #water #hydrology #marine #hydrospatial #bathymetry #topobathy #elevation #seafloor #Landsat9 #LandsatNext #resolution #PuertoRico #Guam #oceanoptics #atmosphere #coast #coastline
    @USGS @landsat @EROS @landsat9

    #gis #spatial #mapping #research #remotesensing #earthobservation
  35. 💧🌏 Greg Cocks @[email protected] ·

    A New, Rigorous Assessment Of Remote Sensing Tool's Accuracy For Supporting Satellite-Based Water Management [NASA's OpenET]
    --
    phys.org/news/2024-01-rigorous <-- shared technical article
    --
    doi.org/10.1038/s44221-023-001 <-- shared paper
    --
    nasa.gov/image-article/openet- <-- NASA OpenET satellite-based water data home page
    --
    youtu.be/uAapAAInDpQ?si=njJfqv <-- NASA OpenET overview video
    --
    #GIS #spatial #mapping #water #waterresources #hydrology #watersecurity #OpenET #remotesensing #model #modeling #satellite #watermanagement #statistics #geostatistics #opendata #arid #sustainable #landsat #evapotranspiration #ET #corrleation #watermanagement #soil #plant #crops #cropland #agriculture #farming #wheat #corn #soy #rice #waterconservation #watersustainability #watersupply #NASA
    @nasa

    #gis #spatial #mapping #water #waterresources #hydrology
  36. Jorge 🇪🇺 🌍🛰️ @[email protected] ·

    Outstanding radar image of the #Shiveluch #volcano.
    #Radar data is not affected by cloud cover or rain. It can be acquired day or night, and often penetrates snow down to bedrock, unlike optical data (e.g. #Sentinel2, #landsat ).
    Acquired on April 17, it shows the immense collapse of the crater, and potentially a growing lava lobe.
    Kudos to @RaphaelGrandin and Alina Shevchenko for their work in the area and Capella Space for providing the image.
    #geology #remotesensing #geophycis #geohazards

    #shiveluch #volcano #radar #sentinel2 #landsat #geology