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Soil is a natural resource for human survival , sustainable agricultural development is an important part . As worldwide increasingly prominent contradiction between population, resources and environment , a variety of resources and environmental problems of land became concentrated expression of those . Quick access to soil information , dynamic monitoring of the land is imperative . Determination of traditional conventional component content of soil chemical analysis cycles , high costs , high precision measuring point scarce, can not meet the precision agriculture component of temporal and spatial variation of soil condition needs. So, how in a short time to obtain the required soil information is particularly important . Since the 1960s , the emergence and development of remote sensing techniques for soil science has opened up new areas. The spectral composition of the soil are different types of soil minerals , organic matter and water, a comprehensive reflection of the spectral characteristics , is an important manifestation of physical and chemical properties of soil . Get this image from ASTER reflectance spectra of soil samples , the study area reflectivity and temperature values ??, to invert Changchun organic matter content of the soil . Because soil organic matter in the visible to near infrared region has a unique spectral response characteristics , analysis of soil organic matter characteristic spectral bands , and the establishment of the regression equation , tentative study area for quantitative inversion of soil organic matter content , organic matter content by means of remote sensing images of the spatial distribution of visual display.
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