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#landsat — Public Fediverse posts

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

  1. On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
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    doi.org/10.1016/j.rse.2026.115 <-- shared paper
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    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
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    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
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    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
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    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
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    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

  2. #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."

    esa.int/Space_in_Member_States

    5.8.2026

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

  3. 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:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

  4. 💻 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

  5. Assessment of Shoreline Change in Southeast Ireland Using Geospatial Techniques
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    doi.org/10.3390/su18073280 <-- shared paper
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    "... 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
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    #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

  6. Saturday Data Dive: Mapping Calgary’s Thermal Fingerprint 🛰️📊

    Spent some quality time with GEE, R and Landsat-8/9 data today.

    I’ve just finished processing a Median Land Surface Temperature (LST) model for Calgary, covering the entire Summer of 2025. This isn't just a single-day snapshot—it’s a robust composite of many satellite scenes, filtered to show the true intra-urban thermal zones.

    Quick Takeaways:
    🔹 Surface temperature in some busines area and "heat traps" peaked at over 51.3°C.
    🔹 The contrast between our "Cool Islands" and "Extreme Heat Zones" is striking.
    🔹 This automated workflow in R allows for a granular look at urban climate resilience that standard reports often miss.

    I’m currently finalizing a full breakdown and a community-by-community analysis.
    Stay tuned—the detailed article is coming soon!

    #Calgary #DataScience #UrbanHeatIsland #RemoteSensing #ClimateResilience #Landsat #RStats #GIS #Sustainability #GEE #EnvironmentalData #Summer2025 #YYC #GreennessOfCalgary #Alberta #Canada

  7. Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
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    doi.org/10.1016/j.rsase.2025.1 <-- share paper
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    “HIGHLIGHTS:
    • ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
    • District-level RF/XGBoost model training with expert-weighted validation.
    • Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
    • RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
    • NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
    #Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation

  8. Identification Of Geothermal Anomalies From Landsat Derived Land Surface Temperature, Mount Meager Volcanic Complex, British Columbia, Canada
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    doi.org/10.1016/j.rse.2025.114 <-- shared paper
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    “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

  9. Landsat Next – Satellites Offers Improved Data To Earth
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    doi.org/10.3133/fs20243005 <-- link to USGS fact sheet 2024-3005
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    landsat.gsfc.nasa.gov/satellit <-- NASA page
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    usgs.gov/landsat-missions/land <-- USGS page
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    youtu.be/339KeL29tig?si=kr9asL <-- NASA Goddard overview video
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    “With a trio of smaller satellites that can each detect 26 wavelengths of light, the Landsat Next mission is expected to look very different from its predecessors that have been observing Earth for 50 years. This new plan for Landsat Next, a joint mission of NASA and the U.S. Geological Survey, is designed to provide more frequent, and finer resolution, data of the changing surface of Earth…”
    #GIS #spatial #mapping #remotesensing #earthobservation #monitoring #satellite #Landsat #LandsatNext #planning #global #imagery #visualisation #spectral #usecase #appliedscience #economicimpact #economicvalue #value #costbenefit #multispectral #synoptic #natural #humanimpact
    @USGS @nasa @NASAGoddard @USGSEROS

  10. 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