Title :
Quantitative study of the Eco-water indices based on remote sensing
Author :
Li, YuXia ; Yang, WuNian ; Tong, Ling ; Jian, Ji ; Gu, XingFa
Author_Institution :
Inst. of Geo-Spatial Inf. Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
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.
Keywords :
atmospheric precipitation; ecology; remote sensing by radar; soil; vegetation; water resources; Eco-environment study; Eco-water Remote Sensing; Eco-water Storage Index; Eco-water information indices; Eco-water layer; RS information model; Soil Moisture Index; Vegetation Canopy Interception Content; Vegetation Water Content Index; inversion model; multi-temporal remote sensing data; multi-type remote sensing data; precipitation; remote sensing applications; soil layer; soil moisture; vegetation layer; vegetation-based calculation model; water-cycle system; water-resources transformation; Hydrologic measurements; Hydrology; Remote sensing; Rivers; Soil measurements; Soil moisture; Vegetation; Water conservation; Water resources; Water storage; Eco-water; Eco-water information indices; RS information model;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417356