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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | YuXia Li WuNian Yang Ling Tong Ji Jian XingFa Gu |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute of RS&GIS, Chengdu University of Technology, Chengdu 610059, China (WuNian Yang; Ji Jian) || Institute of Geo-Spatial Information Technology, University of Electronic Science and Technology of China, Sichuan province, Chengdu 610054, China (YuXia Li; Ling Tong; XingFa Gu) |
| Abstract | Eco-water is defined as a transformation of precipitation, which is deposited by vegetation layer, humiliated vegetation layer and soil layer. It plays an important role in the water-cycle system. As potential factors on Eco-water and Eco-water layer are different from one season to another, multi-temporal and multi-type remote sensing data, measured spectrum and the routine observation were applied to construct the indices for Eco-water and its inversion model. The four Eco-water indices, including Vegetation Canopy Interception Content, Vegetation Water Content Index, Soil Moisture Index and Eco-water Storage Index, were calculated. The results show that the RS information model can reflect the real soil moisture. The dissertation brings forward the Eco-water Remote Sensing quantitative study based on vegetation layer. The vegetation-based calculation model for Eco-water with quantitative remote rensing technology, which has been identified in the dissertation, possesses significant science affect and practical value; and it can not only advance the methods of Eco-environment study, but also promote the research on water-resources transformation and water-cycle, also enlarge the domains of remote sensing applications. |
| File Size | 459677 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5417356 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Remote sensing Vegetation Water resources Rivers Hydrologic measurements Soil measurements Water conservation Soil moisture Hydrology Water storage Eco-water information indices Eco-water RS information model |
| Content Type | Text |
| Resource Type | Article |
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