Remote Sensing Monitoring of Drought in Southwest China Using Random Forest and eXtreme Gradient Boosting Methods

Remote Sensing Monitoring of Drought in Southwest China Using Random Forest and eXtreme Gradient Boosting Methods

A drought results from the combined action of several factors. The continuous progress of remote sensing technology and the rapid development of artificial intelligence technology have enabled the use of multisource remote sensing data and data-driven machine learning (ML) methods to mine drought fe...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Xiehui Li, Hejia Jia, Lei Wang
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2023-10-01
Sarja:Remote Sensing
Aiheet:
drought index
drought monitoring
RF model
XGBoost model
multisource remote sensing information
southwest China
Linkit:https://www.mdpi.com/2072-4292/15/19/4840

Internet

https://www.mdpi.com/2072-4292/15/19/4840

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