An Inversion of a Modified Water Cloud Model for Soil Moisture Content Estimation Through Sentinel-1 and Landsat-8 Remote Sensing Data
Author:
Affiliation:
1. Centre des Techniques Spatiales,Agence Spatiale Algérienne,Arzew,Algérie
2. University of Surrey,Surrey Space Centre,United Kingdom
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884192.pdf?arnumber=9884192
Reference10 articles.
1. Theoretical Evaluation of Water Cloud Model Vegetation Parameters
2. An improved inversion algorithm for spatio-temporal retrieval of soil moisture through modified water cloud model using C- band Sentinel-1A SAR data
3. A New Fully Constrained Least Squares-Based Fusion Approach of Optical, Thermal, and SAR Remote Sensing Data for Soil Moisture Content Estimation
4. The optical trapezoid model: A novel approach to remote sensing of soil moisture applied to Sentinel-2 and Landsat-8 observations
5. Calibration of the Water Cloud Model at C-Band for Winter Crop Fields and Grasslands
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1. Appraising the crop health response to water stress from enhanced crop and soil water estimates using SAR data and machine learning approaches;International Journal of Remote Sensing;2023-07-03
2. Estimation of Soil Moisture for Different Crops Using SAR Polarimetric Data;Civil Engineering Journal;2023-06-01
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