Surface soil moisture estimation from SEVIRI data onboard MSG satellite
文献类型：会议论文
| 作者 | Zhao, Wei(赵伟) ; Labed, Jelila ; Zhang, Xiaoyu ; Li, Zhao-Liang |
| 出版日期 | 2010 |
| 会议名称 | 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 |
| 会议日期 | July 25, 2010 - July 30, 2010 |
| 会议地点 | Honolulu, HI, United states |
| 关键词 | Atmospheric temperature Geology Geostationary satellites Moisture control Moisture determination Remote sensing Soil moisture Space optics Underwater soils Vegetation |
| 通讯作者 | Li, Zhao-Liang |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议主办者 | The Institute of Electrical and Electronics Engineers; Geoscience and Remote Sensing Society |
| 会议录 | International Geoscience and Remote Sensing Symposium (IGARSS)
 |
| 会议录出版者 | Institute of Electrical and Electronics Engineers Inc |
| 会议录出版地 | 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States |
| 语种 | 英语 |
| ISBN号 | 9781424495665 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/21937]  |
| 专题 | 地理科学与资源研究所_研究生部 |
| 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]. 见:2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Honolulu, HI, United states. July 25, 2010 - July 30, 2010. |
入库方式： OAI收割
来源：地理科学与资源研究所
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