
Predicting the humus content of natural waters through GIS modelling
Author(s) -
Mikhail Zobkov,
Mikhail Zobkov
Publication year - 2017
Publication title -
trudy karelʹskogo naučnogo centra rossijskoj akademii nauk
Language(s) - English
Resource type - Journals
eISSN - 2312-4504
pISSN - 1997-3217
DOI - 10.17076/lim306
Subject(s) - humus , watershed , digital elevation model , raster graphics , environmental science , geographic information system , drainage basin , physical geography , hydrology (agriculture) , geography , soil science , remote sensing , cartography , soil water , geology , computer science , geotechnical engineering , machine learning , artificial intelligence