Incorporating a vegetation index into a soil moisture retrieval model $results from Convair-580 SAR data

TitleIncorporating a vegetation index into a soil moisture retrieval model $results from Convair-580 SAR data
Publication TypeConference Paper
Year of Publication2005
AuthorsSikdar, M., S. Macintosh, I. Cumming, and B. Brisco
Conference NameGeoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Pagination4 pp.
Date Publishedjul.
Keywordsairborne radar, CV-580 airborne SAR data, data acquisition, Dubois model, ground measurement, hydrological techniques, polarimetric SAR data, radar polarimetry, remote sensing by radar, soil, soil moisture retrieval model, synthetic aperture radar, vegetation correction, vegetation index, vegetation mapping, vegetation sensitivity, water cloud model

A flexible method of introducing a SAR vegetation index into the Dubois model for soil moisture retrieval using polarimetric SAR data is introduced. Based on the vegetation sensitivity at each pixel, the vegetation index is incorporated on a pixel by pixel basis using the water cloud model. An approach for minimizing the need for ground measurements, by remotely estimating the parameters required for the vegetation index, is suggested. The proposed model is applied to CV-580 airborne SAR data and the vegetation correction was found to reduce the rms error in the model.


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