Prediction of desert locust breeding areas using machine learning methods and SMOS (MIR_SMNRT2) Near Real Time product
出版年份 2021 全文链接
标题
Prediction of desert locust breeding areas using machine learning methods and SMOS (MIR_SMNRT2) Near Real Time product
作者
关键词
Forecast tool, Pests, Remote sensing, Soil moisture
出版物
JOURNAL OF ARID ENVIRONMENTS
Volume 194, Issue -, Pages 104599
出版商
Elsevier BV
发表日期
2021-07-31
DOI
10.1016/j.jaridenv.2021.104599
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Using Long-Term Earth Observation Data to Reveal the Factors Contributing to the Early 2020 Desert Locust Upsurge and the Resulting Vegetation Loss
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