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《Journal of Soil and Water Conservation》 2018-03
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Remote Sensing Inversion and Distribution Characteristics of Soil Organic Carbon Content in Coal Mining Area

SUN Wenjuan;LI Xinju;College of Resources and Environment,Shandong Agricultural University;  
The combination of hyperspectral data and multi spectral image enables high-precision and largearea inversion of soil organic carbon content to be achieved.Taking the organic carbon content in 0-20 cm soil layer of Bao Dian mining area in Shandong Province as the study object,this study first applied the band averaging method to synthesize the hyperspectral narrow band into the wide band of GF-1 WFV,based on which the hyperspectral model of soil organic carbon content were established.Then the optimal hyperspectral model was corrected to the multispectral model through the ratio correction method,and the spatial distribution map of soil organic carbon content was obtained through decision tree classification.Finally,the distribution characteristics of soil organic carbon content were analyzed combined with the land use status map.The results showed:(1)The determination coefficient of the multi spectral model obtained by band fitting and ratio correction was 0.76,indicating that the soil organic carbon content could be retrieved steadily via the model.(2)The soil organic carbon content in the study area varied from 0.71 to 38.15 g/kg,with a mean value of 14.12 g/kg,which was at a medium level in general.The soil organic carbon content was mainly 11.60 ~ 17.40 g/kg,followed by 5.80 ~ 11.60 g/kg,occupying 48% and 29% respectively in the study area.(3)The soil organic carbon content of mining area,some roads and settlements was high.The soil organic carbon content of cultivated land was at medium level,and the content in woodland and grassland was relatively low.The content of organic carbon around the subsidence area was obviously lower than that in other land use types.
【Fund】: 国家自然科学基金项目(41771324)
【CateGory Index】: S153.6;TP79
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