| The concepts of Eco-water and Eco-water layer are brand new. Eco-water is defined as a transformation of precipitation, which was deposited by vegetation layer, humificated vegetation layer and soil layer. Composed of these layers and centered with vegetation layer, Eco-water layer is able to intercept precipitation and then feed river or groundwater reservoir. Modeling and characterizing Eco-water layer is a crucial issue and also a big challenge in the investigation of water-cycle.Due to the season-sensibility and territorial limit of vegetation, the method for quantitatively characterizating Eco-water is not available yet. According to ecology, botany, geo-hydrology, forest-hydrology and quantative Remote Sensing technology, the dissertation systematically analyzed the effects of Eco-water on precipitation distribution, buffer and adjustment of groundwater and surface water, and also investigated the possible environmental factors which could potentially change the Eco-water by taking Maoergai district in upper Minjian river as the study area. These results provided a better understanding for quantitative analysis of Eco-water.The primary characterization system proposed to quantify Eco-water includes five indices, which are Eco-water reservoir, Eco-water flowing, soil moisture, soil moisture saturation and vegetation moisture. For Eco-water studying by quantitative Remote Sensing is a new and large systematic engineering, only soil moisture, soil moisture saturation and vegetation moisture were selected to calculate in this dissertation to meet the time and the funds.The dissertation has the following achievement and innovation:(1) As potential factors on Eco-water and Eco-water layer are different from one season to another, multi-time and multi-type remotely sensed data of research area was selected to calculate the indices for Eco-water. The result can reflect the distribution of the Eco-water in research area.(2) Remotely sensed data over mountainous regions are contaminated with topographic shading and shadowing, which are not desirable for land surface characterizations. Cosine correction methods was selected and revised to correct the remotely sensed data over research area.(3) Based on the current model of soil moisture calculation through Remote Sensing measurement, a Ts/NDVI slope method was selected to calculate soil moisture on the remotely sensed data over research area. The calculation result was in agreement with the basic Eco-environment data by Remote Sensing investigation of...
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