home.social

#sentinel2 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #sentinel2, aggregated by home.social.

  1. 💻 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

  2. Today we take a look at recent Tropical Cyclone #Narelle’s three damaging landfalls using satellite imagery including recent before and after #Sentinel2 #CycloneNarelle youtu.be/OCApH2Wc6wU

  3. How hot was Calgary's neighborhood in 2025? 🛰️🌡️

    I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

    I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

    Full article and maps here:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  4. How hot was Calgary's neighborhood in 2025? 🛰️🌡️

    I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

    I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

    Full article and maps here:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  5. How hot was Calgary's neighborhood in 2025? 🛰️🌡️

    I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

    I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

    Full article and maps here:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  6. How hot was Calgary's neighborhood in 2025? 🛰️🌡️

    I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

    I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

    Full article and maps here:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  7. How hot was Calgary's neighborhood in 2025? 🛰️🌡️

    I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

    I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

    Full article and maps here:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

  8. How much does landform position matter for vegetation dynamics across Calgary?

    I explored how ΔNDVI (2025-2024) varies across geomorphon classes (summit, ridge, slope, hollow, valley, etc.) using a large spatial dataset (~194k observations).

    A few key points from the analysis:
    • Non-parametric Kruskal–Wallis test shows statistically significant differences between geomorphons
    • However, the effect size is moderate (ε² ≈ 0.04)
    • Distributions strongly overlap — landform position matters, but it is not a deterministic driver
    • Median ΔNDVI tends to be higher in lower landscape positions (hollows, footslopes, valleys), consistent with moisture and accumulation controls

    #EnvironmentalData #RemoteSensing #NDVI #LandscapeEcology #Geomorphology #DataAnalysis #RStats
    #ReproducibleResearch #Calgary #GreennessOfCalgary #Sentinel2

  9. S2Coast-2023 - The First Global 10-Meter Resolution #Coastline Dataset Derived From Enhanced #Sentinel2 Composite #Imagery Using #GoogleEarthEngine
    --
    doi.org/10.1016/j.rse.2025.115 <-- shared paper
    --
    zenodo.org/records/17092775 <-- shared data
    --
    “HIGHLIGHTS:
    • Developed a GEE-based global coastline detection framework (S2Coast).
    • HWLSentinel-2 serves as a unified and stable indicator for global coastline detection.
    • The S2Coast-2023 coastline dataset is generated from annual Sentinel-2 imagery.
    • Pixel-level accuracy compared with VHR-based OpenStreetMap coastlines..."
    #GIS #spatial #mapping #RemoteSensing #CoastalResearch #ClimateChange #EarthObservation #Globalcoastlinemapping #Senitinel #googleearthengine #GEE #Compositing #coast #globe #global #model #modeling #detection #marine #terrestrial #ecosystems #knowledgebased #framework #spatialanalysis #spatiotemporal #QAQC

  10. S2Coast-2023 - The First Global 10-Meter Resolution #Coastline Dataset Derived From Enhanced #Sentinel2 Composite #Imagery Using #GoogleEarthEngine
    --
    doi.org/10.1016/j.rse.2025.115 <-- shared paper
    --
    zenodo.org/records/17092775 <-- shared data
    --
    “HIGHLIGHTS:
    • Developed a GEE-based global coastline detection framework (S2Coast).
    • HWLSentinel-2 serves as a unified and stable indicator for global coastline detection.
    • The S2Coast-2023 coastline dataset is generated from annual Sentinel-2 imagery.
    • Pixel-level accuracy compared with VHR-based OpenStreetMap coastlines..."
    #GIS #spatial #mapping #RemoteSensing #CoastalResearch #ClimateChange #EarthObservation #Globalcoastlinemapping #Senitinel #googleearthengine #GEE #Compositing #coast #globe #global #model #modeling #detection #marine #terrestrial #ecosystems #knowledgebased #framework #spatialanalysis #spatiotemporal #QAQC

  11. S2Coast-2023 - The First Global 10-Meter Resolution #Coastline Dataset Derived From Enhanced #Sentinel2 Composite #Imagery Using #GoogleEarthEngine
    --
    doi.org/10.1016/j.rse.2025.115 <-- shared paper
    --
    zenodo.org/records/17092775 <-- shared data
    --
    “HIGHLIGHTS:
    • Developed a GEE-based global coastline detection framework (S2Coast).
    • HWLSentinel-2 serves as a unified and stable indicator for global coastline detection.
    • The S2Coast-2023 coastline dataset is generated from annual Sentinel-2 imagery.
    • Pixel-level accuracy compared with VHR-based OpenStreetMap coastlines..."
    #GIS #spatial #mapping #RemoteSensing #CoastalResearch #ClimateChange #EarthObservation #Globalcoastlinemapping #Senitinel #googleearthengine #GEE #Compositing #coast #globe #global #model #modeling #detection #marine #terrestrial #ecosystems #knowledgebased #framework #spatialanalysis #spatiotemporal #QAQC

  12. S2Coast-2023 - The First Global 10-Meter Resolution Dataset Derived From Enhanced Composite Using
    --
    doi.org/10.1016/j.rse.2025.115 <-- shared paper
    --
    zenodo.org/records/17092775 <-- shared data
    --
    “HIGHLIGHTS:
    • Developed a GEE-based global coastline detection framework (S2Coast).
    • HWLSentinel-2 serves as a unified and stable indicator for global coastline detection.
    • The S2Coast-2023 coastline dataset is generated from annual Sentinel-2 imagery.
    • Pixel-level accuracy compared with VHR-based OpenStreetMap coastlines..."

  13. S2Coast-2023 - The First Global 10-Meter Resolution #Coastline Dataset Derived From Enhanced #Sentinel2 Composite #Imagery Using #GoogleEarthEngine
    --
    doi.org/10.1016/j.rse.2025.115 <-- shared paper
    --
    zenodo.org/records/17092775 <-- shared data
    --
    “HIGHLIGHTS:
    • Developed a GEE-based global coastline detection framework (S2Coast).
    • HWLSentinel-2 serves as a unified and stable indicator for global coastline detection.
    • The S2Coast-2023 coastline dataset is generated from annual Sentinel-2 imagery.
    • Pixel-level accuracy compared with VHR-based OpenStreetMap coastlines..."
    #GIS #spatial #mapping #RemoteSensing #CoastalResearch #ClimateChange #EarthObservation #Globalcoastlinemapping #Senitinel #googleearthengine #GEE #Compositing #coast #globe #global #model #modeling #detection #marine #terrestrial #ecosystems #knowledgebased #framework #spatialanalysis #spatiotemporal #QAQC

  14. #GreennessOfCalgary
    I’ve almost finished it!
    I’ve uploaded all eight parts of “The Greenness of Calgary: A Community-Level Atlas (2025). Contrast Color Edition” to #Gumroad

    Each part is a separate PDF using the “classic” high-contrast NDVI palette, optimized for visual interpretation of vegetation patterns. (The soft green palette will come later.)

    I’ve created a dedicated landing page with descriptions of all releases and download links.
    📎 Landing page is here: datastory.gumroad.com/l/qemrgul

    💲 The materials are available under a “pay what you want” model — free or with optional support.

    This is my first attempt at publishing geospatial analytical materials in this format. I apologise for some template-like descriptions. I hope this atlas series will be useful for researchers, enthusiasts, and anyone interested in Calgary’s urban ecology.

    #Calgary #YYC #UrbanEcology #NDVI #RemoteSensing #GIS #OpenData #Geospatial #DataVisualization #Cartography #QGIS #FOSS #Canada #Alberta #RStats #Sentinel2

  15. I like to verify my remote-sensing results directly in the field. Besides basic self-validation, field walks often generate new ideas and hypotheses.

    For mobile field GIS, I use QField, loading both final map layers and custom templates for data collection.
    Here’s an example from Nose Hill Park, where I checked several locations that showed a consistent NDVI increase in 2025 compared to 2024.
    Field observations help confirm whether the spectral trends match real vegetation changes on the ground.

    #RemoteSensing #EarthObservation #GIS #QGIS #QField #NDVI #VegetationMonitoring #Sentinel2 #FieldWork #GeoSpatial #OpenData #GeoDataScience #UrbanEcology #Calgary #NoseHillPark #Alberta #Canada #Copernicus #CopernicusSentinel #GreennessOfCalgary

  16. Nose Hill Park, Calgary
    Median composite of Sentinel-2 imagery (mid-May to mid-September 2025).
    Band combination: 12-8-3, emphasizing substrate contrasts, vegetation structure, and moisture patterns.

    #RemoteSensing #EarthObservation #Sentinel2 #OpenData #GIS #QGIS #GeoDataArt #GeoSpectralArt #Calgary #Alberta #UrbanEcology #GeospatialAnalysis #Canada #GreennessOfCalgary #Copernicus #CopernicusSentinel #NoseHillPark

  17. Result of a Principal Component Analysis (PCA) created from combined median composites of Sentinel-1 and Sentinel-2 imagery — somewhere in the Sudanese desert.

    This PCA composite brings out contrasts between lithologies, structural domains, drainage patterns, and surface materials, highlighting features that are nearly invisible in standard RGB representations.

    And yes — it also happens to look stunning.

    #RemoteSensing #EarthObservation #Geology #PCA #Sentinel1 #Sentinel2 #SAR #Radar #OpenData #GIS #QGIS #Geomorphology #Geoscience #SAGAGIS #RStats #Desert #Lithology #GeoDataArt #GeoSpectralArt #Sudan #Copernicus #CopernicusSentinel

  18. Result of a Principal Component Analysis (PCA) based on combined median composites of Sentinel-1 and Sentinel-2 satellite imagery — somewhere in the desert of Sudan.

    The PCA highlights contrasts between different lithologies, structural domains, and surface materials, revealing subtle geological features that are hard to distinguish in standard RGB composites.

    And yes — it also looks simply beautiful.

    #RemoteSensing #EarthObservation #Geology #PCA #Sentinel1 #Sentinel2 #Radar #OpenData #GIS #QGIS #Geomorphology #Geoscience #SAR #SAGAGIS #RStats #Desert #Lithology #GeoDataArt #GeoSpectralArt

  19. Comparison of the median-seasoned NDVI for central Calgary: 2024 vs 2025

    Here is a side-by-side look at how the vegetation conditions in central Calgary changed between two years, using median-seasoned NDVI maps derived from Sentinel-2 imagery.

    You can clearly see the interannual differences in greenness — especially in parks, riparian zones, and residential areas with large tree cover.
    The spatial patterns remain stable, but 2025 shows noticeably higher NDVI in many neighbourhoods due to more favourable moisture conditions.

    This is part of my ongoing project on analyzing the vegetation dynamics of Calgary communities: #GreennessOfCalgary

    #RemoteSensing #EarthObservation #NDVI #Sentinel2 #Calgary #UrbanEcology #GIS #RStats #DataAnalysis #EnvironmentalMonitoring #Copernicus #Alberta #Canada #YYC #UrbanHealth #QGIS #FOSS

  20. In the distant 2016, when I was a member of an environmental NGO in Kryvyi Rih (Ukraine), I started using satellite Earth Observation data to monitor the condition of large industrial tailings ponds.

    At that time, environmental regulations required these storage facilities to be either flooded or at least kept moist to prevent dust storms.
    Industrial operators often ignored these rules, leaving huge dry surfaces exposed — which created massive dust pollution affecting nearby communities.

    Using Sentinel-2 and Landsat-8 imagery with false-color composites, I developed a simple but effective method to map dry, moist, and water-covered zones of tailings ponds.

    Local residents and journalists were absolutely delighted! Industrial companies, on the other hand… reacted very differently 🤣

    These maps are from 2016–2017 and show several tailings facilities around #KryvyiRih.

    #RemoteSensing #EarthObservation #Sentinel2 #OpenData #EnvironmentalMonitoring
    #Tailings #Mining #DustPollution #GIS #QGIS #Ukraine #Landsat

  21. 🌿 Greenness of Calgary Communities (Summer 2024)
    📎 datastory.org.ua/greenness-of-

    Last year I published my first attempt to analyze the actual vegetation condition across Calgary and to build a data-driven ranking of its communities based on median summer NDVI. It was my very first experiment in assessing urban greenness at the neighbourhood scale — but the results turned out surprisingly insightful.
    Some patterns were expected, while others revealed unexpectedly low vegetation density in places that looked green from the ground.

    This exploration later grew into a much larger line of research on Calgary’s greenness, climate resilience, and spatial variability in vegetation health. You can find some results here with thematic hashtag #GreennessOfCalgary

    If you're working on urban ecology, remote sensing, or land-cover analysis of Canadian cities — I’d be happy to exchange ideas.

    #NDVI #RemoteSensing #Calgary #UrbanEcology #Sentinel2 #QGIS #RStats #Alberta #Canada #EnvironmentalMonitoring #GeospatialAnalysis

  22. Here is the city-wide map of ΔNDVI for Calgary — the difference between the median summer NDVI (mid-May to mid-September) in 2024 vs 2025.

    As in the previous post, the signal is quite clear:
    2025 shows a systematic increase in vegetation index across almost the entire city, but some areas showing a decrease.

    This pattern is consistent with what I see in the frequency distributions of median NDVI:
    2025 has a broader, greener distribution — likely reflecting better moisture conditions and a more favourable growing season.

    Working with ΔNDVI on a pixel-by-pixel scale (10 × 10 m) offers a much more detailed picture of how vegetation responds spatially, compared with community-level averages or city-wide summaries.

    #NDVI #Sentinel2 #RemoteSensing #Calgary #GreennessOfCalgary #GIS #Rstats #DataAnalysis #ESA #UrbanEcology #Copernicus #CopernicusSentinel #SustainableDevelopment #SustainableUrbanDevelopment #Alberta #Canada #EnvironmentalMonitoring #GIS #Geospatial

  23. 🌿 A noticeable shift in the statistical distribution of median NDVI values for Calgary between 2024 and 2025.

    🛰️ Both histograms are based on Sentinel-2 data with 10×10 m resolution, and each NDVI value represents the median for mid-May to mid-September.

    The contrast is striking:

    🔥 2024 shows a distribution shifted toward lower NDVI values → drier summer, weaker vegetation growth, more heat-stress periods.
    🏡 2025 is clearly shifted to the right → stronger greenness, more moisture, and more stable summer conditions.

    This kind of interannual comparison reveals how much the city’s ecosystems can vary from year to year — using nothing more than open satellite data and clean statistics.

    #NDVI #Sentinel2 #RemoteSensing #Calgary #GreennessOfCalgary #GIS #Rstats #DataAnalysis #ESA #UrbanEcology #Copernicus #CopernicusSentinel #SustainableDevelopment #SustainableUrbanDevelopment #Alberta #Canada

  24. My experiment with land-cover classification for Calgary using satellite imagery and with a machine-learning model trained on data from another continent.

    The results turned out surprisingly good — most classes transferred almost perfectly.
    The only noticeable shift was the Forest class: tree and shrub vegetation in the source region differs from Calgary’s, so the model mapped it conservatively here.

    Still, the general structure of the landscape was captured very well, and community-level land-cover profiles look consistent.

    #Rstats #RemoteSensing #GIS #MachineLearning #LandCover #Calgary #EarthObservation #LULC #GreennessOfCalgary #QGIS #UrbanHealth #Alberta #Canada #Sentinel #Copernicus #CopernicusSentinel #Sentinel1 #Sentinel2 #ESA #DataScience #FOSS #UrbanEcology #UrbanNature

  25. 🗺️ Making atlases better, one version at a time

    Not everything works perfectly on the first try — sometimes the most obvious design ideas come late and suddenly! 🤣

    Here’s one example: showing community boundaries so that people unfamiliar with cartography can at least find their own street.

    In the second version (right), I added a subtle shading effect that keeps the map’s analytical context but visually highlights the selected community.

    Each atlas is generated automatically in QGIS Report Designer — one atlas per city sector, with multiple communities.
    That means this improvement wasn’t just “drawing a border manually,” but rather a data-driven programming and sorting task integrated into the atlas workflow.

    🟩 Left: earlier version
    🟩 Right: current improved version

    #QGIS #Cartography #DataVisualization #UrbanMapping #GIScience #OpenData #GeospatialAnalysis #Calgary #Automation #AtlasDesign #Rstats #RemoteSensing #Copernicus #Sentinel2 #GreennessOfCalgary #UrbanEcology #OpenStreetMap #Alberta #Canada

  26. 🌿 NDVI change in Calgary’s Weaselhead Flats (2024 → 2025)

    This map shows how vegetation in one of Calgary’s most diverse natural areas responded to the city’s unusually wet summer of 2025.
    Greener shades mark zones where NDVI increased most strongly compared to 2024 — the same floodplain and forest patches that locals know for dense canopy recovery.

    Even modest year-to-year shifts in temperature and rainfall leave clear spatial traces in NDVI — a reminder of how sensitive urban ecosystems are to climate variability, and how well open-data satellite products can capture it.

    🛰 Data and processing: Sentinel-2 + R + QGIS

    #NDVI #RemoteSensing #Calgary #UrbanEcology #ClimateImpact #EnvironmentalMonitoring #GIS #QGIS #RStats #DataVisualization #GeospatialAnalysis #Sentinel2 #CopernicusSentinel2 #CopernicusProgram #Copernicus #GreennessOfCalgary #Alberta #Canada

  27. 🌿 Calgary’s vegetation — satellite comparison (2024 → 2025)

    Median NDVI maps from mid-May to mid-September show a clear difference between the two seasons.

    In 2025, NDVI values are noticeably higher — vegetation stayed greener and denser for longer.
    The wetter summer had a strong effect on canopy productivity across most Calgary communities, especially in parkland and tree-covered zones.

    🛰️ Based on Sentinel-2 imagery and R + QGIS processing.

    #RemoteSensing #NDVI #UrbanEcology #Calgary #GeospatialAnalysis #GIS #Sentinel2 #EnvironmentalData #DataVisualization #OpenScience #EarthObservation #ClimateImpact #RStats #QGIS

  28. 🌿 Where Calgary Got Greener — and Where It Didn’t?

    A quick look at how Calgary’s residential communities changed in greenness (NDVI) between 2024 and 2025.

    🟢 Some neighbourhoods show a clear recovery of vegetation — probably thanks to a wetter, milder summer, better soil moisture, or local greening efforts.
    🔴 Others stayed stagnant or even lost NDVI — maybe new construction, dry soils, or sparse vegetation played a role.

    The bar chart shows Top-5 and Bottom-5 communities by NDVI change. It’s fascinating how uneven the “greening pulse” can be within one city.

    📊 Based on Sentinel-2 data, mid-May – mid-September, processed in R.

    #Calgary #NDVI #RemoteSensing #UrbanEcology #EnvironmentalData #GIS #Sentinel2 #ClimateImpact #GeospatialAnalysis #DataScience #RStats #OpenData #GreennessOfCalgary #Alberta #Canada

  29. #DLR:
    "
    Neuer Webdienst EO Wald visualisiert Kronendachverluste
    Satellitendaten für deutsche Wälder in Not
    "
    "DLR zeigt mit Satellitendaten massive Waldschäden seit 2017 und macht diese mit der frei zugänglichen Webanwendung EO Wald sichtbar."

    dlr.de/de/aktuelles/nachrichte

    23.9.2025

    #BigData #Copernicus #EO #EOC #EOWald #Erdbeobachtung #Forstwirtschaft #Klima #Klimawandel #Landsat #Raumfahrt #Satelliten #Sentinel2 #SpaceFlight #Wald

  30. Current project: Automatic pipeline for downloading and processing Sentinel 2 imagery. Once that works, automatic upload to a TAK server as datapackage...

    #python #rasterio #sentinel2 #satelliteimagery #tak #atak

  31. Current project: Automatic pipeline for downloading and processing Sentinel 2 imagery. Once that works, automatic upload to a TAK server as datapackage...

    #python #rasterio #sentinel2 #satelliteimagery #tak #atak

  32. Current project: Automatic pipeline for downloading and processing Sentinel 2 imagery. Once that works, automatic upload to a TAK server as datapackage...

    #python #rasterio #sentinel2 #satelliteimagery #tak #atak

  33. Current project: Automatic pipeline for downloading and processing Sentinel 2 imagery. Once that works, automatic upload to a TAK server as datapackage...

    #python #rasterio #sentinel2 #satelliteimagery #tak #atak

  34. Current project: Automatic pipeline for downloading and processing Sentinel 2 imagery. Once that works, automatic upload to a TAK server as datapackage...

    #python #rasterio #sentinel2 #satelliteimagery #tak #atak

  35. #Waldbrände in #Spanien und #Portugal sorgen für dichte Rauchentwicklung, besonders rund um #Ourense in #Galicien.

    #Spanien hat bereits Mitte August 2025 den höchsten jährlichen Wert an geschätzten #Feueremissionen seit Beginn der #CAMS-Datenerhebung erreicht.

    Auch in Portugal sind vor allem der Norden und die Mitte stark betroffen.

    copernicus.eu/en/media/image-d

    #Klimakrise #Luftverschmutzung #Feueremissionen #Galicia #Copernicus #Sentinel2

  36. #ESA:
    "
    Grönland: subglaziale Überflutung bricht durch die Oberfläche der Eisschicht
    "
    "Anhand von Daten mehrerer Erdbeobachtungssatelliten .. haben Forschungsteams entdeckt, dass eine enorme Flut unter dem grönländischen Eisschild mit solcher Wucht nach oben gedrückt hat, dass sie den Eisschild aufgebrochen hat .."

    esa.int/Space_in_Member_States

    30.7.2025

    #Arktis #Cryosat #Eis #EO #Erdbeobachtung #Grönland #Klimakrise #Klimawandel #Raumfahrt #Satelliten #Sentinel1 #Sentinel2 #SpaceFlight

  37. #ESA:
    "
    Grönland: subglaziale Überflutung bricht durch die Oberfläche der Eisschicht
    "
    "Anhand von Daten mehrerer Erdbeobachtungssatelliten .. haben Forschungsteams entdeckt, dass eine enorme Flut unter dem grönländischen Eisschild mit solcher Wucht nach oben gedrückt hat, dass sie den Eisschild aufgebrochen hat .."

    esa.int/Space_in_Member_States

    30.7.2025

    #Arktis #Cryosat #Eis #EO #Erdbeobachtung #Grönland #Klimakrise #Klimawandel #Raumfahrt #Satelliten #Sentinel1 #Sentinel2 #SpaceFlight