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"content": "Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery\n--\nhttps://doi.org/10.1016/j.jag.2022.102716 \u003c-- shared 2022 paper\n--\n“HIGHLIGHTS:\n • [They] evaluated the impacts of topographic correction on forest mapping in the mountains.\n • The enhanced C-correction and the physical model reduced topographic effects.\n • The corrected Landsat imagery time series resulted in higher accuracy.\n • Terrain information improved classification but not as much as topographic correction.\n • [They] recommend using topographic correction for forest cover mapping...\"\n#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\n\nhttps://files.techhub.social/media_attachments/files/113/587/523/801/322/965/original/3bfbe0efdb097f4b.jpg\nhttps://files.techhub.social/media_attachments/files/113/587/523/810/089/968/original/0349b6e3edf31890.jpg\nhttps://files.techhub.social/media_attachments/files/113/587/524/084/449/278/original/d51771fb6a781f57.jpg\nhttps://files.techhub.social/media_attachments/files/113/587/524/174/644/700/original/103e6bd0b3300ee4.jpg",
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