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#atmosphericcorrection — Public Fediverse posts

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

  1. Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery
    --
    doi.org/10.1016/j.jag.2022.102 <-- shared 2022 paper
    --
    “HIGHLIGHTS:
    • [They] evaluated the impacts of topographic correction on forest mapping in the mountains.
    • The enhanced C-correction and the physical model reduced topographic effects.
    • The corrected Landsat imagery time series resulted in higher accuracy.
    • Terrain information improved classification but not as much as topographic correction.
    • [They] recommend using topographic correction for forest cover mapping..."
    #GIS #spatial #AtmosphericCorrection #IlluminationCondition #LandCover #ModelComparison #TimeSeries #TopographicCorrection #remotesensing #comparasion #topographic #correction #NDVI #forest #vegetation #model #modeling #spatialanalyis #accuracy #forestcover #Russia #Georgia #CaucasusMountains #spatiotemporal #landsat #elevation #DEM

  2. Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery
    --
    doi.org/10.1016/j.jag.2022.102 <-- shared 2022 paper
    --
    “HIGHLIGHTS:
    • [They] evaluated the impacts of topographic correction on forest mapping in the mountains.
    • The enhanced C-correction and the physical model reduced topographic effects.
    • The corrected Landsat imagery time series resulted in higher accuracy.
    • Terrain information improved classification but not as much as topographic correction.
    • [They] recommend using topographic correction for forest cover mapping..."
    #GIS #spatial #AtmosphericCorrection #IlluminationCondition #LandCover #ModelComparison #TimeSeries #TopographicCorrection #remotesensing #comparasion #topographic #correction #NDVI #forest #vegetation #model #modeling #spatialanalyis #accuracy #forestcover #Russia #Georgia #CaucasusMountains #spatiotemporal #landsat #elevation #DEM

  3. Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery
    --
    doi.org/10.1016/j.jag.2022.102 <-- shared 2022 paper
    --
    “HIGHLIGHTS:
    • [They] evaluated the impacts of topographic correction on forest mapping in the mountains.
    • The enhanced C-correction and the physical model reduced topographic effects.
    • The corrected Landsat imagery time series resulted in higher accuracy.
    • Terrain information improved classification but not as much as topographic correction.
    • [They] recommend using topographic correction for forest cover mapping..."
    #GIS #spatial #AtmosphericCorrection #IlluminationCondition #LandCover #ModelComparison #TimeSeries #TopographicCorrection #remotesensing #comparasion #topographic #correction #NDVI #forest #vegetation #model #modeling #spatialanalyis #accuracy #forestcover #Russia #Georgia #CaucasusMountains #spatiotemporal #landsat #elevation #DEM

  4. Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery
    --
    doi.org/10.1016/j.jag.2022.102 <-- shared 2022 paper
    --
    “HIGHLIGHTS:
    • [They] evaluated the impacts of topographic correction on forest mapping in the mountains.
    • The enhanced C-correction and the physical model reduced topographic effects.
    • The corrected Landsat imagery time series resulted in higher accuracy.
    • Terrain information improved classification but not as much as topographic correction.
    • [They] recommend using topographic correction for forest cover mapping..."
    #GIS #spatial #AtmosphericCorrection #IlluminationCondition #LandCover #ModelComparison #TimeSeries #TopographicCorrection #remotesensing #comparasion #topographic #correction #NDVI #forest #vegetation #model #modeling #spatialanalyis #accuracy #forestcover #Russia #Georgia #CaucasusMountains #spatiotemporal #landsat #elevation #DEM

  5. Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery
    --
    doi.org/10.1016/j.jag.2022.102 <-- shared 2022 paper
    --
    “HIGHLIGHTS:
    • [They] evaluated the impacts of topographic correction on forest mapping in the mountains.
    • The enhanced C-correction and the physical model reduced topographic effects.
    • The corrected Landsat imagery time series resulted in higher accuracy.
    • Terrain information improved classification but not as much as topographic correction.
    • [They] recommend using topographic correction for forest cover mapping..."

  6. @lavergnetho @trappmartin yeah, this is the sort of thing I had in mind. We have a recent paper on #AtmosphericCorrection (gmd.copernicus.org/articles/15), where the uncertainty considerations were the hardest thing to justify and explain. So far, v limited uptake on them :⁠-⁠P:⁠-⁠P:⁠-⁠P

  7. Hi fellow migrators !
    I am an #engineer at the French Space Agency @cnes, and a #researcher at #Cesbio laboratory. I work on time series of #optical #remotesensing images such as #Sentinel2 or #Landsat. I am now #VENųS PI.

    My specialty is #atmosphericCorrection #CloudDetection, and I am the creator of #MAJA_L2A processor.

    I am now the head of Observation Systems team in #Cesbio, not doing much #research anymore but try to help colleagues do their research.

    Our #blog:
    labo.obs-mip.fr/multitemp/

  8. Hi fellow migrators !
    I am an #engineer at the French Space Agency @cnes, and a #researcher at #Cesbio laboratory. I work on time series of #optical #remotesensing images such as #Sentinel2 or #Landsat. I am now #VENųS PI.

    My specialty is #atmosphericCorrection #CloudDetection, and I am the creator of #MAJA_L2A processor.

    I am now the head of Observation Systems team in #Cesbio, not doing much #research anymore but try to help colleagues do their research.

    Our #blog:
    labo.obs-mip.fr/multitemp/

  9. Hi fellow migrators !
    I am an #engineer at the French Space Agency @cnes, and a #researcher at #Cesbio laboratory. I work on time series of #optical #remotesensing images such as #Sentinel2 or #Landsat. I am now #VENųS PI.

    My specialty is #atmosphericCorrection #CloudDetection, and I am the creator of #MAJA_L2A processor.

    I am now the head of Observation Systems team in #Cesbio, not doing much #research anymore but try to help colleagues do their research.

    Our #blog:
    labo.obs-mip.fr/multitemp/