Evaluation of SMAP-Enhanced Products Using Upscaled Soil Moisture Data Based on Random Forest Regression: A Case Study of the Qinghai–Tibet Plateau, China

Evaluation of SMAP-Enhanced Products Using Upscaled Soil Moisture Data Based on Random Forest Regression: A Case Study of the Qinghai–Tibet Plateau, China

The evaluation of satellite soil moisture is a big challenge owing to the large spatial mismatch between pixel-based satellite soil moisture products and point-based in situ measurements. Upscaling in situ measurements to obtain the “true value” of soil moisture content at the satellite grid/footpri...

Full description

Bibliographic Details
Main Authors: Jia Chen, Fengmin Hu, Junjie Li, Yijia Xie, Wen Zhang, Changqing Huang, Lingkui Meng
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
soil moisture
SMAP
evaluation
sparse ground-based sites
upscaling
random forest regression
Online Access:https://www.mdpi.com/2220-9964/12/7/281

Similar Items

Similar Items