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 :
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