Open AccessA deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables
Author(s) -
Lin Yang,
Yanyan Cai,
Lei Zhang,
Guo Mao,
Anqi Li,
Chenghu Zhou
Publication year - 2021
Publication title -
international journal of applied earth observation and geoinformation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.623
H-Index - 98
eISSN - 1872-826X
pISSN - 1569-8432
DOI - 10.1016/j.jag.2021.102428
Subject(s) - phenology , environmental science , soil carbon , vegetation (pathology) , scale (ratio) , convolutional neural network , digital soil mapping , random forest , satellite , remote sensing , computer science , soil map , soil science , geography , machine learning , cartography , soil water , ecology , engineering , medicine , pathology , aerospace engineering , biology
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