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Surface soil moisture estimation from SEVIRI data onboard MSG satellite
Zhao, Wei(赵伟); Labed, Jelila; Zhang, Xiaoyu; Li, Zhao-Liang
Source PublicationInternational Geoscience and Remote Sensing Symposium (IGARSS) ; 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 ; International Geoscience and Remote Sensing Symposium (IGARSS) ; 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
2010
Source PublicationInternational Geoscience and Remote Sensing Symposium (IGARSS) ; 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 ; International Geoscience and Remote Sensing Symposium (IGARSS) ; 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Corresponding AuthorLi, Zhao-Liang
Conference DateJuly 25, 2010 - July 30, 2010
Conference PlaceHonolulu, HI, United states
Publication Place445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States
PublisherInstitute of Electrical and Electronics Engineers Inc
Funding OrganizationThe Institute of Electrical and Electronics Engineers; Geoscience and Remote Sensing Society
AbstractLand 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.
KeywordAtmospheric Temperature Geology Geostationary Satellites Moisture Control Moisture Determination Remote Sensing Soil Moisture Space Optics Underwater Soils Vegetation
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/21937
Collection研究生部
Corresponding AuthorLi, Zhao-Liang
Recommended Citation
GB/T 7714
Zhao, Wei,Labed, Jelila,Zhang, Xiaoyu,et al. Surface soil moisture estimation from SEVIRI data onboard MSG satellite[C]. 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States:Institute of Electrical and Electronics Engineers Inc,2010.
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