Retrieving Corn Gravimetric Water Content Based on the Water Cloud Model Using Sentinel-1 and Radarsat-2 Imageries
Author:
Affiliation:
1. Beijing Normal University,State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science,Beijing,China,100875
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642668.pdf?arnumber=10642668
Reference12 articles.
1. A novel semi-empirical model for crop leaf area index retrieval using SAR co- and cross-polarizations
2. Gravimetric Vegetation Water Content Estimation for Corn Using L-Band Bi-Angular, Dual-Polarized Brightness Temperatures and Leaf Area Index
3. First Assessment of Sentinel-1A Data for Surface Soil Moisture Estimations Using a Coupled Water Cloud Model and Advanced Integral Equation Model over the Tibetan Plateau
4. A model for downscaling SMOS soil moisture using Sentinel-1 SAR data
5. Vegetation modeled as a water cloud
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