Downscaling SMAP soil moisture using a wide & deep learning method over the Continental United States
Author:
Funder
National Natural Science Foundation of China
International Atomic Energy Agency
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference92 articles.
1. Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method;Abbaszadeh;Water Resour. Res.,2019
2. Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale;Abowarda;Remote Sens. Environ.,2021
3. Temperature-Vegetation-Soil moisture dryness index (TVMDI);Amani;Remote Sens. Environ.,2017
4. US Climate Reference Network soil moisture and temperature observations;Bell;J. Hydrometeorol.,2013
5. A comparative study of the SMAP passive soil moisture product with existing satellite-based soil moisture products;Burgin;IEEE Trans. Geosci. Remote Sens.,2017
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