Extraction of Soil Organic Matter Information by Multi-spectral Remote Sensing Based on Diverse Landforms  

基于地貌类型的土壤有机质多光谱遥感反演（英文）

作　　者：杨建锋[1] 马军成[1] 王令超[1] 樊鹏[1] 

机构地区：[1]河南省科学院地理研究所,河南郑州450052

出　　处：《Agricultural Science & Technology》2016年第7期1744-1748,共5页农业科学与技术（英文版）

摘　　要：Based on diverse landforms, the correlation between soil organic matter content and multi-spectral band of remote sensing image was analyzed in this pa- per. In addition, the inversion models were built for the soil organic matter content in different landforms. The results showed that the spectral reflectance was nega- tively related to soil organic matter content; linear regression analysis of remove was performed throughout the bands using SPSS. When the inversion models were built based on all the bands, better fitting effect was obtained. The precision of in- version models built based on different landforms was higher than those built re- gardless landforms. Compared with the actual value, the identification level of soil organic matter content was 91 65% under the allowable error was 7%. It indicated that the extraction of soil organic matter with inversion model that was built based on different landforrrs was feasible with higher precision.该文基于地貌类型分析土壤有机质含量与多光谱遥感影像光谱波段之间相关关系,并构建不同地貌类型区有机质含量反演模型。结果表明,各波段光谱反射率与土壤有机质含量均呈负相关关系;利用SPSS软件对所有波段进行剔除变量(remove)线性回归分析,当全部波段参与构建反演模型时,一次反演模型拟合效果较好。分地貌类型区构建土壤有机质反演模型精度高于整个区域反演模型精度,与实际值对比,当允许误差为7%时,土壤有机质含量识别度为91.65%。基于地貌类型构建土壤有机质含量反演模型提取研究区土壤有机质含量是切实可行的,且精度较高。

关 键 词：Landform type MULTI-SPECTRAL Regression analysis Soil organic matter 

分 类 号：S153.6[农业科学—土壤学]