Predicting the changes of surface soil organic matter contents with remote sensing inversion model in the northern Xuzhou mining areas
Soil organic matter,the core index of soil fertility,is the effective monitoring indicator of ecological restoration and mine land reclamation.The traditional methods need more time and laborious consuming,low in efficiency.This study has proved to be effective with remote sensing inversion model and GIS to detect the changes of mining subsidence areas in northern Xuzhou city.Remotely sensed multispectral LANDSAT ETM+ images were used to analyze the spatial pattern of surface soil organic matter across the coal mining area.Through the correlation analysis between organic matter and ETM+ reflectance variation,sensitive wave bands on organic matter selected,a remote sensing inversion model of surface soil organic matter was established.The results were shown as follows: (1) The surface soil organic matter in northern Xuzhou mining areas had a strong negative correlation with the reflectance values of ETM+ 5 and ETM+ 7 (r =-0.585 and-0.543,P < 0.001).(2) The binary regression with the reciprocal of the reflectivity logarithm of ETM+ 3 and the reciprocal of the reflectivity of ETM+5 (R2 =0.6162,P < 0.001),has a reliable prediction of the spatial pattern of surface soil organic matter (R2 =0.6162,RMES =0.89).(3) Organic matter content in the study area is mostly distributed in10-15 g/kg.Surface soil organic matter decreased with mining subsidence slope and the disturbing effect on surface soil organic matter by the mining activity is carbon losing effect.
F.Chen S.J.Hao J.Ma Y.W.Zeng S.Liang J.F.Qu S.L.Zhang
Low Carbon Energy Institute, China University of Mining and Technology, Xuzhou, China Jiangsu Key Laboratory of Resource and Environmental Information Engineering,China University of Mining and Technology, Xuzhou, China
国际会议
北京
英文
23-27
2014-10-16（万方平台首次上网日期，不代表论文的发表时间）