Merging thermal and microwave satellite observations for a high-resolution soil moisture data product

Author

Zhan, Xiwu ; Anderson, Martha ; Liu, Jicheng

Author_Institution

NESDIS Center for Satellite Applic. & Res., NOAA, Camp Springs, MD, USA

fYear

2010

fDate

25-30 July 2010

Firstpage

4440

Lastpage

4441

Abstract

Based on Bayesian theory, the merged soil moisture data product should have smaller errors than the errors of each of the individual soil moisture products to be merged. From the application point of view, if the accurate coarser resolution microwave soil moisture observations can constrain the errors of the less accurate high resolution thermal soil moisture estimates using the merging approach, then the merged product will broaden the applications of the satellite soil moisture products. This study examines how the selected merging approaches realize the advantages of the merged soil moisture data products.

Keywords

Bayes methods; geophysical signal processing; hydrological techniques; infrared imaging; microwave imaging; moisture; remote sensing; sensor fusion; soil; Bayesian theory; high resolution soil moisture data product; microwave satellite observations; microwave soil moisture observations; satellite soil moisture products; thermal satellite observations; thermal soil moisture estimates; Microwave imaging; Microwave radiometry; Microwave theory and techniques; Satellite broadcasting; Satellites; Soil moisture; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5652038

Filename

5652038