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Surface soil moisture retrieval from C-band SAR data combining coherent and incoherent change detection

Conference Paper
Publication Date:
2022
abstract:
This study proposed a surface soil moisture (SSM) retrieval scheme combining the information content of temporal changes of the SAR interferometric phase and backscatter at C-band. The scheme does not require any external information to constrain the retrieval process. For bare soils, the performance is assessed on a simulated data set. Results indicate excellent accuracy (i.e., a correlation coefficient of ~0.9 and a RMSE of ~0.03 m3/m3).
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Sentinel-1; soil moisture retrieval; coherent and incoherent change detection
List of contributors:
Mattia, Francesco; Satalino, Giuseppe; Balenzano, Anna
Authors of the University:
BALENZANO ANNA
MATTIA FRANCESCO
SATALINO GIUSEPPE
Handle:
https://iris.cnr.it/handle/20.500.14243/420229
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URL

https://ieeexplore.ieee.org/abstract/document/9944309
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