Downscaling of Satellite Remote Sensing Soil Moisture Products Over the Tibetan Plateau Based on the Random Forest Algorithm: Preliminary Results

Downscaling of Satellite Remote Sensing Soil Moisture Products Over the Tibetan Plateau Based on the Random Forest Algorithm: Preliminary Results

Abstract Soil moisture (SM) is an important index of soil drought, and it directly controls the energy balance and water cycle of the land surface. As an indicator and amplifier of global warming, the Tibetan Plateau (TP) is becoming warmer and wetter. Because of its particular geographical environm...

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Bibliographic Details
Main Authors: Qingqing Chen, Fang Miao, Hao Wang, Zi‐Xin Xu, Zhiya Tang, Ling Yang, Shengxiu Qi
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-06-01
Series:Earth and Space Science
Subjects:
soil moisture
downscaling
SMAP
MODIS
DEM
random forest algorithm
Online Access:https://doi.org/10.1029/2020EA001265

Internet

https://doi.org/10.1029/2020EA001265

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