Machine learning-based prediction of sand and dust storm sources in arid Central Asia

With the emergence of multisource data and the development of cloud computing platforms, accurate prediction of event-scale dust source regions based on machine learning (ML) methods should be considered, especially accounting for the temporal variability in sample and predictor variables. Arid Cent...

詳細記述

書誌詳細

出版年:	International Journal of Digital Earth
主要な著者:	Wei Wang, Alim Samat, Jilili Abuduwaili, Philippe De Maeyer, Tim Van de Voorde
フォーマット:	論文
言語:	英語
出版事項:	Taylor & Francis Group 2023-12-01
主題:	susceptibility mapping event scale google earth engine (gee) remote sensing
オンライン･アクセス:	http://dx.doi.org/10.1080/17538947.2023.2202421