Title :
Bayesian combined active/passive (B-CAP) soil moisture retrieval algorithm: A rigorous retrieval scheme for SMAP mission
Author :
Matias Barber;Cintia Bruscantini;Francisco Grings;Haydee Karszenbaum
Author_Institution :
Institute for Astronomy and Space Physics, Quantitative Remote Sensing Group, Buenos Aires, Argentina
fDate :
7/1/2015 12:00:00 AM
Abstract :
On-going and near-future Synthetic Aperture Radar (SAR) satellite missions are expected to provide meaningful and timely information about soil condition over vast agricultural lands such as those of the mid-western United States (corn-belt) and of Argentina (Pampas Plain), leading to actual economic benefits regarding to seeding dates, irrigation strategies and crop yield forecasting. NASA´s Soil Moisture Active and Passive (SMAP) [1] and Argentinean SAOCOM (www.conae.gov.ar) missions have been specifically designed to develop surface soil moisture products. These missions will exploit microwave radar at L-band (λ = 23cm) as sensing wavelength, which demonstrated to be less sensitive to residue cover over soil´s surface and to be more accurate on retrieving soil moisture than other bands.
Keywords :
"Soil moisture","Synthetic aperture radar","Soil measurements","Microwave radiometry","Bayes methods"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7325687