采煤矿区表层土壤有机质含量遥感反演
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江苏高校优势学科建设工程项目“(SA1102)”;国家自然科学基金项目“煤炭开采的碳效应研究”(51074154/E042203)


Predicting Surface Soil Organic Matter Contents with Remote Sensing Images in Mining Areas
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    摘要:

    利用LandSat ETM+影像反演煤炭开采区表层土壤有机质含量的空间格局,对采样点各波段光谱反射率进行数学变换,并将所得结果与有机质含量进行相关性分析。挑选出敏感波段,建立了表层土壤有机质含量的光谱预测模型。结果表明,研究区表层土壤有机质含量与第5波段和第7波段反射率呈极显著的负相关关系(R分别为-0.585和-0.543,p <0.001);对反射率进行数学变换可以改善其与有机质之间的相关性;用第1波段反射率对数的倒数和第5波段反射率的倒数建立二元回归方程(R2=0.616 2,p <0.001)对研究区土壤有机质有很好的预测能力(R2=0.616 2,RMSE=0.89);有机质含量在10~15g/kg范围的图斑面积最大,占研究区总面积的50.44%;表层土壤有机质随开采沉陷坡度的增加呈减少的趋势;煤炭开采沉陷对表层土壤有机质含量的扰动属于失碳效应。

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    Remotely sensed multispectral Landsat ETM+images were used to analyze the spatial pattern ofsurface soil organic matter across the coal mining area.Through the correlation analysis between organicmatter contents and ETM+ reflectance variations,wave bands sensitive to organic matter were selected,which were used to establish a prediction model of surface soil organic matter.It was shown that the surfacesoil organic matter contents in study area strongly negatively correlated with the reflectance values of ETM+5and ETM+7(R=-0.585and-0.543,p<0.001).The regression model were developed with the reciprocal of the log-transformed reflectance of ETM+3and the reciprocal of the reflectance of ETM+5(R2=0.616 2,p<0.001),which predicted the spatial pattern of surface soil organic matter with acceptable accuracy(R2=0.616 2,RMSE=0.89).The area of 10~15g/kg organic matter contents accounted for 50.44%of the totalarea of study site.Surface soil organic matter decreased with the increasing subsidence slope of mining,andthe disturbing effect imposed by the mining activities is a carbon losing effect.

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曾远文,陈浮,王雨辰,张绍良.采煤矿区表层土壤有机质含量遥感反演[J].水土保持通报,2013,(2):169-172

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  • 收稿日期:2012-08-12
  • 最后修改日期:2012-09-17
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  • 在线发布日期: 2014-11-12
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