Coherent and Incoherent Change Detection for Soil Moisture Retrieval From Sentinel-1 Data
Author:
Affiliation:
1. Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council (CNR), Bari Unit, Bari, Italy
Funder
project “Use of Multi-Frequency SAR Data for AGRIculture” (SARAGRI) funded by the Italian Space Agency
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09721238.pdf?arnumber=9721238
Reference19 articles.
1. Feasibility of Retrieving Soil Moisture from InSAR Decorrelation Phase and Closure Phase
2. Penetration depth as a DInSAR observable and proxy for soil moisture
3. A Polarimetric First-Order Model of Soil Moisture Effects on the DInSAR Coherence
4. Sentinel-1 Sensitivity to Soil Moisture at High Incidence Angle and the Impact on Retrieval Over Seasonal Crops
5. A time-series approach to estimate soil moisture using polarimetric radar data;kim;IEEE Trans Geosci Remote Sens,2009
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