Soil moisture retrieval with remote sensing images for debris flow forecast in humid regions
文献类型：会议论文
| 作者 | Zhao Y.1,2,3 ; Yang H.1,2,3; Wei F.1,3
|
| 出版日期 | 2010 |
| 会议日期 | 2010 |
| 会议地点 | Milano |
| 关键词 | remote sensing soil moisture TVDI CWSI debris flow forecast humid region |
| DOI | 10.2495/DEB100081 |
| 页码 | 89-100 |
| 国家 | ITALY |
| 英文摘要 | Soil moisture is a key parameter in debris flow prediction for its influence on the critical rainfall triggering debris flow. Soil moisture can be obtained by ground measurement. However, it is difficult to extend these limited observing data to the regional scale because of the heterogeneity of land surface. The Temperature Vegetation Dryness Index (TVDI) is a common method of estimating regional soil moisture by the images of MODIS, because of its moderate spatial resolution and high temporal resolution. However, because the basic assumption of the TVDI method is that pixels from the study region can cover the entire range of soil moisture conditions and vegetation fractions, it is difficult to determine the actual dry edge of the space in humid regions. The Crop Water Shortage Index (CWSI) calculated by actual evapotranspiration and potential evapotranspiration does not need fitting to the dry edge and wet edge. CWSI further considers about the influence of vegetation. In this paper, we applied both TVDI and CWSI methods to retrieving soil moisture using remote sensing and meteorological data in Zhejiang Province, which has a humid climate. Among CWSI, the actual and potential evapotranspiration are calculated by the SEBS model. CWSI can also directly express the extent of soil moisture. In surface soil (0-10cm), the correlation coefficient of CWSI and measured relative soil moisture (RSM) reached-0.89. |
| 源文献作者 | DeWrachien, D ; Brebbia, CA |
| 产权排序 | 1 |
| 会议录 | MONTORING, SIMULATION, PREVENTION AND REMEDIATION OF DENSE DEBRIS FLOWS III
 |
| 语种 | 英语 |
| ISSN号 | 1746-4471 |
| ISBN号 | 978-1-84564-442-0 |
| WOS记录号 | WOS:000394394900008 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/34182]  |
| 专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
| 通讯作者 | Zhao Y. |
| 作者单位 | 1.Key Laboratory of Mountain Hazards and Surface Process, Chinese Academy of Sciences, China; 2.Graduated University, Chinese Academy of Sciences, China 3.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, China; |
| 推荐引用方式 GB/T 7714 | Zhao Y.,Yang H.,Wei F.. Soil moisture retrieval with remote sensing images for debris flow forecast in humid regions[C]. 见:. Milano. 2010. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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