ENOE 0.6a is a free software that allows to perform measurements of erosion network as well as base erosion surface analysis.
New paper dedicated implementation of machine learning in prospectively mapping was published in famous “Earth Science Informatics” journal (link).
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.
Link to full-text paper (ResearchGate).
Alternate link to full-text (Elsevier)
Research implements DefMe (Defoliation and Maximum Entropy) software (link)
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.
Recently published paper coauthored with Prof. John Carranza unifies geodynamics modeling and remote sensing.
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:
Everyone is welcome to download and read.
Ore Geology Reviews, the famous and well known journal has accepted my manuscript that describes research, which was partially done with LEFA (link)
The new update for LEFA is coming. Changes:
1.201 Update fixed the bug with line density counting upon downsampled image. Also updated shape output for deciphered linear elements