| In terrestrial ecosystems, vegetation ecological processes were affected andrestricted by hydrological processes and at the meantime feedback them. Hence thefunction mechanism was formed that vegetation and land ecological system and watercycle system restrain each other, coordinate with each other, and complement eachother. Eco-water layer is the water storage which was related closely to the landvegetation（including leaf stems layer, vegetation root soil layers and humus layer,etc）. Eco-water layer is important in ecological environment that the rainfall wascached, distributed and adjusted, and also important in the improvement of theecological environment and regulating the hydrologic cycle. Finding outcharacteristics and spatial distribution of Eco-water properties and realizing theestimation of Eco-water quantitative is the theory and techniques support forenvironmental protection, ecological reconstruction, water quantity calculation and"Eco-water resources library" construction.Characteristic of the eco-water conservation is special and hard to extract andquantify by the conventional methods, so new technology and new methods wereneeded. Remote sensing techniques are macroscopic, real-time and sensitive todistinguish different vegetation types, can provide effective data for the quantitativestudy of eco-water. In the meantime, quantitative concepts and algorithms of remotesensing information provide powerful technology and methods for the quantitativestudy of eco-water. It’s a new idea for the quantitative study of ecological water inprocessing of remote sensing spectral data, extracting the key parameters andinversing of the ground surface biochemical parameter model. Quantitative remotesensing research at home and abroad focused on ecological hydrology models,precision agricultures, forest water cycle, etc, including specific technology methodsuch as the surface radiation budget parameter estimation, the biochemical parametersinversion of vegetation, and water cycle parameter estimation, etc. However,eco-water(layer) research at home and abroad is limited to the research team ourselves, and team members constantly explore new train of thought of ecological waterquantitative research methods. Eco-water is water aquifer which was centered on thevegetation. Previous research has not studied and analized ecological waterinformation index parameter from the perspective of the ground vegetation, so it hasimportant practical value that vegetation as the research object of ecological waterconservation module inversion.In order to achieve the ecological water resources quantity estimation, This paperfurther improve the ecological water information index parameter system based onprevious research results. With the ground vegetation as the breakthrough point, theestablishment of ecological water conservation modulus model and remote sensinginversion were explored. Meanwhile, test area ecological water supply was computedbased on ecological water conservation module inversion, and ecological waterstorage database was established which vegetation class pattern spots as the objects.The main research contents and innovations of this paper have several aspects asfollows:(1) Further improved the eco-water (layer) information index parameters system.Eco-water (layer) information index parameters system was established andconstantly improved by project team members. Combining previous research results,this paper has further improved the eco-water (layer) information index parameterssystem. The eco-water (layer) information index parameters system includingvegetation biochemical parameters, the surface temperature, vegetation coverage, leafarea index, etc, was executed remote sensing inversion of the key surface parameters.The significance of ecological water information index parameters was further clearlyidentified.(2) Explored and established ecological water conservation module model whichvegetation water content and soil water content as the main parameters, based on thehyperspectral remote sensing and quantitative remote sensing principle. Eco-waterconservation module represents the unit area’s total eco-water of eco-water layer, andinvolves of vegetation water content, soil moisture content and other factors.According to study of quantitative remote sensing algorithm of hyperspectral remotesensing data, the remote sensing inversion model of vegetation water content and soilmoisture remote sensing inversion model was established, and then eco-waterconservation module model was elicited. Finally, the eco-water conservation modulebased on remote sensing image was got to realize calculating of the quantity ofeco-water resources. (3) Based on the ground vegetation, the quantity of resource of the eco-waterconservation module remote sensing inversion was counted to establish the databasebased on vegetation class pattern spots. According to analysis the characteristics ofmain vegetation types in remote sensing image in the study area, combined with theremote sensing interpretation symbol of vegetation types was established based onfield investigation and verification results, the ground vegetation information wasextracted in the test area. Then the ecological water total water content of majorvegetation types was counted from the ecological water conservation module and theground vegetation information. According to the statistics of eco-water conservationmodule of each vegetation class pattern spot, the eco-water storage database wasestablished based on the vegetation class pattern spots.(4) Based on the concept and algorithms of quantitative remote sensing,vegetation water content and soil water content was inversed by remote sensingtechnology in test area. According to lots of literatures domestic and overseas andaccessibility of data, a dimensional equivalent water layer thickness was chosen toexpress the vegetation water content, and inversion model of vegetation water contentwas established by vegetation index method. Soil water content was presented by thethickness of the soil water, and inversion model of soil water content was establishedwith soil moisture monitoring by remote sensing.(5) During the quantitative research of eco-water information index parameters,spectral signature of hyperspectral remote sensing data was analyzed and extracted.An spectrum transform analysis of the the measured spectral data, with the extractionof vegetation spectral characteristics of water content and soil water content.Due tothe different water content, there is a valid identification of vegetation in near infrared.There is the obvious difference of soil water content in the red band and near-infrared.The extraction of spectral feature for the inversion of vegetation water content andsoil moisture provided effective quantitative method. |
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