期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：901-906
出版社：Copernicus Publications
摘要：Mapping and dating soil organic material is of great importance in soil use and evaluation. Yet the most common mapping method of these features is based on visual, qualitative interpretation of air-photos. In this study we examine the feasibility of mapping soil organic material content by using airborne hyperspectral reflective remote sensing methodology. This technique was tested in Henshan County located in north of Shanxi province. A correlation analysis was performed between soil organic material data and color indices (brightness index, coloration index, hue index, redness index and saturation index). Using these correlations we were able to build up the regression model, and map the soil organic material content by calculating each pixel of Hyperion image. The accuracy assessment (the overall accuracy estimated as 76%) showed that the map is reliable and significantly correlated with known stabilization processes throughout the study area. The quantitative methodology developed in this study for mapping soil organic material can be adapted to other arid regions throughout the world
关键词：Quantitative Mapping; Hyperspectral Remote Sensing; Soil Organic Material
