Multi-source remote sensing supported large scale fully distributed hydrological modelling of the tarim river basin in central asia
文献类型：会议论文
| 作者 | Feng ; Xianwei1 ; 2 ; Chen ; Xi1 ; Willems ; Patrick3 ; Liu ; Tie3 ; Li ; Lanhai1 ; Bao ; Anming1 ; Huang ; Yue1 |
| 出版日期 | 2009 |
| 会议名称 | Proceedings of SPIE - The International Society for Optical Engineering, Second International Conference on Earth Observation for Global Changes |
| 会议日期 | 2009 |
| 会议地点 | Chengdu, China |
| 关键词 | Remote sensing - Arid regions - Data processing - Developing countries - Geographic information systems - Hydraulic models - Information systems - Land use - Observatories - Rivers - Snow - Water supply - Watersheds - Arid and semiarid region - Central Asia - Digital elevation - Distributed hydrological model - Ground stations - Hot spot - Hydrological modeling - Hydrological modelling - Hydrological process - Input and outputs - Leaf Area Index - MIKE-SHE - Multi-source remote sensing - Multi-temporal remote sensing - Multisources - Potential applications - Precipitation intensity - Remote sensing data - Remote sensing technology - River basins - Semiarid area - Snow covers - Soil types - Spatial analysis - Spatial distribution - Tarim basin - Tarim River basin - Variable model |
| 中文摘要 | Potential application of remote sensing in hydrology is one of the hot spots in the distributed hydrological model research. The remote sensing technology can be applied to obtain the spatial distribution and dynamics of hydrological phenomena which is not generally possible based on traditional data. In this paper, a fully distributed large scale hydrological modeling application is considered in the semi-arid area of the River Tarim basin in central Asia (area of more than 1.20×105 km2). The model has been built based on the hydrological modeling software MIKE-SHE, which makes combined use of ground station data and multi-source and multi-temporal remote sensing data. Input and output data of spatially and temporally detailed variable model have been obtained by remote sensing data processing and geographical* spatial analysis for many useful hydrologic variables. These variables include digital elevations, land uses, soil types, precipitation intensities, evapotranspiration depths, snow cover heights and areas and leaf area index information. Through the case study application, insights have been obtained in the advantage of the potential usage of the remote sensing technology and products to support the hydrological process modeling of large scale river basins in developing countries where traditional station based data is very limited. The technology developed and the experience built in this study can be exported for applications in other analogical regions. © 2009 SPIE. (32 refs.) |
| 收录类别 | EI |
| 会议录 | Second International Conference on Earth Observation for Global Changes
 |
| ISSN号 | 0277-786X |
| ISBN号 | 13: 9780819477743 |
| 源URL | [http://ir.xjlas.org/handle/365004/10810]  |
| 专题 | 新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据) |
| 推荐引用方式 GB/T 7714 | Feng,Xianwei1,2,et al. Multi-source remote sensing supported large scale fully distributed hydrological modelling of the tarim river basin in central asia[C]. 见:Proceedings of SPIE - The International Society for Optical Engineering, Second International Conference on Earth Observation for Global Changes. Chengdu, China. 2009. |
入库方式： OAI收割
来源：新疆生态与地理研究所
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