Surface Parameter Inversion Of Thermal Infrared Measured Spectrum

The amount of soil moisture content is directly related to the growth status of crop,and is a necessary element of normal growth and development of the natural vegetation,which is an important parameter to determine the soil drought. The quantity of soilsediment concentration related to soil moisture and the problem of nutrition gathered,the greater the sediment concentration, the faster moisture permeability andevaporation, just because it is too large of the sand to loss nutrition. In terms of thespecial climate in Xinjiang, especially the research area in this paper, one of theimportant factors is Soil water content, another is Soil sediment concentration,meanwhile, Wind erosion in this region are quite serious, Soil sediment concentrationdirectly affects the speed of desertification.Nowadays, using thermal infrared remote sensing data of soil water content is themain methods based on the surface temperature and soil water content real relationshipbetween, and about the soil sediment concentration and inversion study is focused onthe characteristics of the spectrum analysis, but according to the thermal infraredanother very important emission rate parameters, in the inversion of soil moisturecontent and soil when the use of sediment concentration is relatively less. At the sametime, the soil moisture content and sediment concentration as research soil degradationof two important parameters on the thermal infrared emission based on the study of thetheory of the and quantified inversion study, will help better describe the physicalmechanism of soil degradation and dynamic monitoring.In this study, on the basis of the radiative transfer model calculation, program forsoil emission spectra which can be measured on field and indoor has been designed,and the emission spectra of the different levels of soil moisture has been measured inthe study area, at the same time, samples of different sediment content of soil havebeen prepared and soil emission spectral data has also been measured. which is found that if the soil emission spectra is measured on the field, the changes in theenvironment have great impact on its emission rate, moreover, soil type, vegetationcovering, topography of the selected area will interfere with the emissivity of the soil.Therefore, in this study finally flat and natural bare soil which has less impactconditions selected as a study area. In this paper, When different levels of soil moistureand sediment content of soil reflectance spectra were analyzed, by using a comparativeanalysis, the correlation coefficient and principal component analysis, finalized in the8.0-8.2μm,8.7-8.9μm,9.5-11.9μm,12.5-13μm range of a few bands of soil emissivityaffected obviously by the water changes, while the soil emission spectralcharacteristics of different level of sediment content more obvious in the range of8-9.5μm band.The focus of this research is analyzing the relationship between the observed soilemissivity spectra characteristic parameters and the water and sediment content. Itwas mainly using spectral feature analysis parameters and spectral diagnostic index tochoose the best sensitive bands of inversion of the soil and sediment content. It showsthat wavelengths at the range of9.4802-9.7901μm, soil water content is the mostsensitive to their emission rate; wavelengths at the scope of these two intervals:8.3010-8.6296μm and9.2226-9.2716μm, soil sediment content is more sensitive totheir emissivity. According to the best range of sensitive band to simulate thermalinfrared sensor channel and conduct the regression analysis using the band, band ratio,soil moisture content and the sediment content. It concluded that band ratio of thelinear model can be an effective anti-performed soil water content and the sedimentcontent. Through analysis of validating the model, Determine the simulated ASTERsatellite sensors12and14, the two thermal infrared band emissivity ratio and thelinear relationship between soil moisture and the sediment content, the higher theretrieval accuracy. This is mainly because the selected sensitive band just falls withinthe response band of the ASTER sensor, the emissivity band ratio data can be better to eliminate some of the factors resulting in the influence of soil moisture and thesediment content, of their emissivity, more accurate is the emissivity ratio data can bepart of the elimination of soil temperature on the emission rate. Finally, determine theinversion model in the inversion model and the soil between the soil thermal infraredemissivity for the study area and water content of the emission rate and sedimentcontent. Thus, it has laid a certain foundation for the similar arid area in Xinjiangwhere is based on thermal infrared remote sensing research.