Four decades of microwave satellite soil moisture observations: Part 1. A review of retrieval algorithms
The satellite based passive (radiometer) and active (radar) microwave sensors enhanced
our ability to retrieve soil moisture at global scales. It has been almost four decades since …
our ability to retrieve soil moisture at global scales. It has been almost four decades since …
Synergic use of Sentinel-1 and Sentinel-2 images for operational soil moisture map** at high spatial resolution over agricultural areas
Soil moisture map** at a high spatial resolution is very important for several applications
in hydrology, agriculture and risk assessment. With the arrival of the free Sentinel data at …
in hydrology, agriculture and risk assessment. With the arrival of the free Sentinel data at …
Evaluation of backscattering models and support vector machine for the retrieval of bare soil moisture from Sentinel-1 data
The main objective of this work was to retrieve surface soil moisture (SSM) by using
scattering models and a support vector machine (SVM) technique driven by backscattering …
scattering models and a support vector machine (SVM) technique driven by backscattering …
Bare soil surface moisture retrieval from sentinel-1 SAR data based on the calibrated IEM and dubois models using neural networks
The main purpose of this study is to investigate the performance of two radar backscattering
models; the calibrated integral equation model (CIEM) and the modified Dubois model …
models; the calibrated integral equation model (CIEM) and the modified Dubois model …
Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models
Soil Moisture (SM) monitoring is crucial for various applications in agriculture, hydrology,
and climate science. Remote Sensing (RS) offers a powerful tool for large-scale SM …
and climate science. Remote Sensing (RS) offers a powerful tool for large-scale SM …
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 …
The spatiotemporal distribution of soil moisture over the Tibetan Plateau is important for
understanding the regional water cycle and climate change. In this paper, the surface soil …
understanding the regional water cycle and climate change. In this paper, the surface soil …
Evaluation of the Oh, Dubois and IEM backscatter models using a large dataset of SAR data and experimental soil measurements
The aim of this paper is to evaluate the most used radar backscattering models (Integral
Equation Model “IEM”, Oh, Dubois, and Advanced Integral Equation Model “AIEM”) using a …
Equation Model “IEM”, Oh, Dubois, and Advanced Integral Equation Model “AIEM”) using a …
Using SAR-derived vegetation descriptors in a water cloud model to improve soil moisture retrieval
J Li, S Wang - Remote Sensing, 2018 - mdpi.com
The water cloud model (WCM) is a widely used radar backscatter model applied to SAR
images to retrieve soil moisture over vegetated areas. The WCM needs vegetation …
images to retrieve soil moisture over vegetated areas. The WCM needs vegetation …
Comparative analysis of the accuracy of surface soil moisture estimation from the C-and L-bands
Surface soil moisture (SSM) estimation is of great importance in several areas, such as
hydrology, agriculture and risk assessment. C-band SAR (synthetic aperture radar) data …
hydrology, agriculture and risk assessment. C-band SAR (synthetic aperture radar) data …
Analysis of L-band SAR data for soil moisture estimations over agricultural areas in the tropics
The main objective of this study is to analyze the potential use of L-band radar data for the
estimation of soil moisture over tropical agricultural areas under dense vegetation cover …
estimation of soil moisture over tropical agricultural areas under dense vegetation cover …