New paper entitled “Application of Maximum Entropy for Mineral Prospectivity Mapping in Heavily Vegetated Areas of Greater Kurile Chain with Landsat 8 Data” coauthored with Professor EMJ Carranza is now available in open access.
The Landsat Shadow Removal (LSR) software is now published as the source code (https://github.com/SergeiShevyrev/LSR). Program uses pyQT graphical interface and can stack Landsat 8 OLI images, compute indexes as well as apply SCS+C topographic correction algorithm. Program was tested with Landsat 8 OLI data (http://libra.developmentseed.org), SRTM (necessary for topographic correction) and shape file for data crop. Data must be in same projection (tested in UTM on WGS84 geoid).
Software uses 3rd party libraries: numpy, pandas, gdal, elevation, richdem, pyQT that should be preinstalled prior to run.
Hello and great news! Newly published article Shevyrev, S. Neotectonics, remote sensing and erosion cut of ore-controlling structures of the Mnogovershinnoe gold-silver deposit (Khabarovsk Krai, Russian Far East). Ore Geology Reviews, Volume 108, May 2019, Pages 8-22 is freely available on the Elsevier website via shared link until July, 06:
1.2 The function of geotiff image up and downscaling was added. It can change resulution of the image to be analysed without affecting of the georeference. Update makes possible to ignore small features irrelevant for analysis and apply the image generalization principle.