Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion

出版年份 2019 全文链接

标题

作者

关键词

Discrimination, Gully erosion susceptibility, Machine learning models, Reliability, Latin hypercube sampling technique (cLHS), Topographic attributes

出版物

Volume 664, Issue -, Pages 1117-1132

出版商

Elsevier BV

发表日期

2019-02-08

DOI

10.1016/j.scitotenv.2019.02.093

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