A radar-radiometer surface soil moisture retrieval algorithm for SMAP

Author

Akbar, Rois ; Moghaddam, Mahta

Author_Institution

Viterbi Sch. of Eng., Univ. of Southern California, Los Angeles, CA, USA

fYear

2013

fDate

21-26 July 2013

Firstpage

1095

Lastpage

1098

Abstract

A soil moisture retrieval algorithm is presented whereby both radar and radiometer measurements are used simultaneously in an optimization scheme to retrieve for surface soil moisture in the presence of vegetation. Further, using fine-resolution radar measurements, a disaggregated brightness temperature product at the radar resolution is developed to reconcile the spatial resolution discrepancy between the two measurements. Numerical simulations are performed to synthesize SMAP data, and then via the method of Simulated Annealing, optimization is accomplished to retrieve high resolution soil moisture.

Keywords

hydrological techniques; moisture; numerical analysis; radar resolution; radiometry; remote sensing by radar; simulated annealing; soil; vegetation; SMAP data; disaggregated brightness temperature product; fme-resolution radar measurements; high resolution soil moisture; numerical simulations; optimization scheme; radar resolution; radar-radiometer surface soil moisture retrieval algorithm; radiometer measurements; simulated annealing; spatial resolution discrepancy; surface soil moisture; vegetation; Abstracts; Radar measurements; Radiometry; Soil; Soil measurements; Volume measurement; Radar; Radiometer; SMAP; Soil Moisture;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6721355

Filename

6721355