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基于航空高光谱遥感数据的黑土地有机质含量反演:以黑龙江省建三江地区为例
引用本文:汪大明,秦凯,李志忠,赵英俊,陈伟涛,甘义群.基于航空高光谱遥感数据的黑土地有机质含量反演:以黑龙江省建三江地区为例[J].地球科学,2018,43(6):2184-2194.
作者姓名:汪大明  秦凯  李志忠  赵英俊  陈伟涛  甘义群
作者单位:1.中国地质大学环境学院, 湖北武汉 430074
基金项目:中国地质调查局建三江地区黑土地航空高光谱遥感调查项目SYZXW2017101国家自然科学基金青年基金项目41602333
摘    要:掌握黑土地有机质含量对黑土资源利用与保护具有重要意义,而高光谱卫星影像的缺乏制约了区域尺度土壤有机质反演研究的开展.以黑龙江省建三江黑土区为例,采用CASI/SASI航空高光谱数据、ASD(analytical spectral devices)地面光谱数据和土壤样品有机质含量数据,基于有机质含量与光谱反射率的相关性和定量关系,构建最优的回归模型并开展研究区土壤有机质含量遥感反演.结果表明:偏最小二乘法回归模型比多元逐步回归模型更稳定(判定系数分别为0.885和0.653),且精度更高(均方根误差分别为0.424和0.744);采用偏最小二乘模型反演的结果与地面化探结果基本一致. 

关 键 词:遥感    土壤有机质    高光谱    黑土地    回归模型
收稿时间:2018-03-06

Retrieval of Organic Matter Content in Black Soil Based on Airborne Hyperspectral Remote Sensing Data: Taking Jiansanjiang District in Heilongjiang Province as an Example
Abstract:The retrieval of organic matter content in black soil is of great significance for the utilization and conservation of black soil resources. However, the lack of hyperspectral satellite images has restricted the development of soil organic matter retrieval at the regional scale. In this paper, a typical black soil area of Heilongjiang Province was selected as the study area. Then, the CASI/SASI airborne hyperspectral data, ASD(analytical spectral devices) surface spectral data, and the soil organic matter content data are used to establish the optimal regression model based on the correlation and quantitative relationship between organic matter content and spectral reflectance values of soil samples. Finally, the retrieval of soil organic matter content of the study area is carried out. The results show that the partial least square regression model is more stable than the multivariate stepwise regression model (with determination coefficients of 0.885 and 0.653, respectively), and the accuracy is higher (with root mean square error of 0.424 and 0.744, respectively). The retrieval result derived from partial least square regression is basically consistent with the result of geochemical exploration on the ground. 
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