π§π Greg CocksIntegrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery
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https://doi.org/10.1016/j.jag.2022.102716 <-- shared 2022 paper
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βHIGHLIGHTS:
β’ [They] evaluated the impacts of topographic correction on forest mapping in the mountains.
β’ The enhanced C-correction and the physical model reduced topographic effects.
β’ The corrected Landsat imagery time series resulted in higher accuracy.
β’ Terrain information improved classification but not as much as topographic correction.
β’ [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
--
https://doi.org/10.1016/j.jag.2022.102716 <-- shared 2022 paper
--
βHIGHLIGHTS:
β’ [They] evaluated the impacts of topographic correction on forest mapping in the mountains.
β’ The enhanced C-correction and the physical model reduced topographic effects.
β’ The corrected Landsat imagery time series resulted in higher accuracy.
β’ Terrain information improved classification but not as much as topographic correction.
β’ [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
