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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
会议名称International 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
会议名称International 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
通讯作者Li, Zhao-Liang
会议日期July 25, 2010 - July 30, 2010
会议地点Honolulu, HI, United states
出版地445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States
出版者Institute of Electrical and Electronics Engineers Inc
会议主办者The Institute of Electrical and Electronics Engineers; Geoscience and Remote Sensing Society
摘要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.
关键词Atmospheric Temperature Geology Geostationary Satellites Moisture Control Moisture Determination Remote Sensing Soil Moisture Space Optics Underwater Soils Vegetation
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.igsnrr.ac.cn/handle/311030/21937
专题研究生部
通讯作者Li, Zhao-Liang
推荐引用方式
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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