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.

https://onlinelibrary.wiley.com/doi/abs/10.1002/gj.3935#.X0hkoQipHHo.facebook

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:

https://authors.elsevier.com/a/1Z3lFcTGxwWKt

Everyone is welcome to download and read.

Good afternoon! The new update is coming:

-erosion network orders detection software (ENOE) is now added (link)

-standalone version of LEFA is (here). Mind to read the (guide).

Please, use testing dataset for quick start with the uploaded software (link).

 

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

The new update for LEFA is available. Changes:

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.

Our humble views on Matlab-based lineament extraction software have been just released. LEFA is available for download on the relevant page. Enjoy.

Feel free to share your opinions about this software  as well as positive or negative experience in comments.