Estimation of bare surface soil moisture using geostationary satellite data

Author

Zhang, Xiaoyu ; Tang, Bohui ; Jia, Yuan-Yuan ; Li, Zhao-Liang

Author_Institution

CAS, Beijing

fYear

2007

fDate

23-28 July 2007

Firstpage

1931

Lastpage

1934

Abstract

Surface soil moisture is a key variable in computing several important variables of the land energy and water budget (albedo,hydraulic conductivity etc). At the same time,surface soil moisture affects the diurnal change of surface temperature. Meteorological satellite data have great potential for providing estimation of surface soil moisture with high temporal resolution on a daily basis. This paper compares some relationship between the parameters derived by fitting land surface temperature (LST) with its diurnal cycle model and surface soil moisture,The results showed that lag time (the difference of the time corresponding to maximum surface temperature and that to maximum solar net short-wave radiation) is most correlated to surface soil moisture.

Keywords

land surface temperature; moisture; remote sensing; soil; sunlight; Land Surface Temperature; diurnal cycle model; diurnal surface temperature change; geostationary satellite data; land energy; meteorological satellite data; solar radiation; surface soil moisture estimation; temporal resolution; water budget; Atmospheric modeling; Land surface; Land surface temperature; Reflectivity; Remote sensing; Satellite broadcasting; Soil measurements; Soil moisture; Surface fitting; Surface soil; MSG; Surface soil moisture; diurnal land surface temperature; geostationary satellite data; lag time;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Conference_Location

Barcelona

Print_ISBN

978-1-4244-1211-2

Electronic_ISBN

978-1-4244-1212-9

Type

conf

DOI

10.1109/IGARSS.2007.4423204

Filename

4423204