DocumentCode
3335648
Title
Surface soil moisture estimation from SEVIRI data onboard MSG satellite
Author
Zhao, Wei ; Labed, Jelila ; Zhang, Xiaoyu ; Li, Zhao-Liang
Author_Institution
State Key Lab. of Resources & Environ. Inf. Syst., CAS, Beijing, China
fYear
2010
fDate
25-30 July 2010
Firstpage
3865
Lastpage
3868
Abstract
Land surface temperature (LST) and vegetation index or Fraction of Vegetation Cover (FVC) triangle space in regional scale has been demonstrated to be an effective way to monitor surface soil moisture condition. In this study, LST mid-morning rising rate from geostationary satellite data is applied instead of LST in the triangle space. A new soil water dryness index (Temperature Rate Vegetation Dryness Index, TRVDI) is presented from the LST mid-morning rising rate - FVC space to reflect surface soil moisture condition. Regional TRVDI is calculated over a region of the Iberian Peninsula using MSG SEVIRI data recorded on July 2006. The validation was performed with AMSR-E soil moisture product and Anticipant Precipitation Index (API) for two meteorological stations in the area. Results indicate that TRVDI reflects the variation in soil moisture to some extent and is suitable to monitor regional surface soil moisture and temporal variation.
Keywords
atmospheric boundary layer; land surface temperature; soil; vegetation mapping; AMSR-E soil moisture product; Anticipant Precipitation Index; Iberian Peninsula; MSG SEVIRI data; MSG satellite; dryness index; fraction of vegetation cover triangle space; geostationary satellite data; land surface temperature; meteorological stations; midmorning temperature rising rate; regional scale; regional surface soil moisture; soil water dryness index; surface soil moisture condition; temperature rate vegetation dryness index; temporal variation; vegetation index; Indexes; Land surface temperature; Moisture; Ocean temperature; Soil moisture; Surface soil; Vegetation; Dryness index; MSG; Mid-morning temperature rising rate; Soil moisture;
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.2010.5651592
Filename
5651592
Link To Document