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Study On Remote Sensing Information Model Of Soil Moisture In The Desertification Area

Posted on:2006-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:S F YuFull Text:PDF
GTID:2133360155468378Subject:Forest management
Abstract/Summary:PDF Full Text Request
The study is the part of State Natural Science Funds project "Research on quantitative retrieval of the main factors of desertification and assessment of remote sensing information"(No.30371192).Desertification is one of the most important fact that restrict the development of economy in CHINA. The rate of soil water is the limiting factor of the desertification. It's very quickly and convenient to catch the large-scale information of the earth's surface by remote sensing. And it's very favorable to detect soil moisture thus monitor the rate of soil water. NOAA has been used to soil moisture for a long time all over the world. The remote sense information model is built with TM data at first time in this study.In Naiman country, Inner Mongolia, the experimental area, the pretreatment of TM data is finished at the first time in the paper. The following work is visual interpreting of remote sensing image and survey and measuring of the field, including the reflect characteristic measuring of different substances and the need survey data of retrieval model. Then the image character of all sorts of sandlots and vegetable etc is ascertained in TM image.First, in order to help do the quantitative retrieval of the rate of the soil water, the radiation correction, the geometric correction, the landform correction and the noise reduction are done. Following, this paper adopts three methods to build the Remote Sensing information model of the rate of soil water in Naiman Inner Mongolia, the RS information model based on the earth's surface temperature , soil thermal inertia and spectrum have been evaluated by the samples of the field data and calculating the water of the plot. The results are: the academic precision of the model based on the spectrum is 81.81%, the factual precision is 92.17%; the academic precision of the model based on thermal inertia is 76.82%, the factual precision is 86.15%; and the academic precision of the model based on the earth's surface temperature is 68.27%, the factual precision is 77.28 %. Many factors affect the surface temperature and soil thermal inertia such as the rate of the soil water , the vegetation, the landform and so on, but the landform and the vegetation are very important, so the model based on the surface temperature and the soil thermal inertia hold true in the plat, less vegetational or vegetationless regions. However, the model based on the spectrum is welcome in the luxuriant vegetation regions.
Keywords/Search Tags:Remote sensing information model, Soil moisture, The earth's surface temperature, Thermal inertia, Spectrum
PDF Full Text Request
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