Spatial Downscaling of Soil Moisture Based on Fusion Methods in Complex Terrains

Spatial Downscaling of Soil Moisture Based on Fusion Methods in Complex Terrains

Large-area soil moisture (SM) data with high resolution and precision are the foundation for the research and application of hydrological and meteorological models, water resource evaluation, agricultural management, and warning of geological disasters. It is still challenging to downscale SM produc...

Full description

Bibliographic Details
Main Authors: Qingqing Chen, Xiaowen Tang, Biao Li, Zhiya Tang, Fang Miao, Guolin Song, Ling Yang, Hao Wang, Qiangyu Zeng
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
downscaling
soil moisture
remote sensing
complex terrains
machine learning
data fusion
Online Access:https://www.mdpi.com/2072-4292/15/18/4451

Internet

https://www.mdpi.com/2072-4292/15/18/4451

Similar Items