Doing more with less: A comparative assessment between morphometric indices and machine learning models for automated gully pattern extraction (A case study: Dashtiari region, Sistan and Baluchestan Province)

Autor: Kornejady, Aiding, Goli Jirandeh, Abbas, Alizadeh, Hadi, Sarvarinezhad, Alireza, Bameri, Abdollah, Lombardo, L., Conoscenti, Christian, Alizadeh, Amir, Karimi, Mahdi, Samadi, Mahmood, Silakhori, Esmaeil, Pourghasemi, H.R.

Publikováno v: Computers in Earth and Environmental Sciences
Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management, 523-534
STARTPAGE=523;ENDPAGE=534;TITLE=Computers in Earth and Environmental Sciences

Deep gullies in the Dashtiari Region prompted us to couple different morphometric indices obtained from a UAV-derived DEM to automatically extract gully signatures. The extraction of gully signatures is commonly undertaken via pattern recognition tec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15b9b0668a5f445a2e6d1ecd6555487a
https://doi.org/10.1016/b978-0-323-89861-4.00007-5