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土壤有机质高光谱估算研究进展
引用本文:郑光辉,王明江,焦彩霞,孙东敏.土壤有机质高光谱估算研究进展[J].南京气象学院学报,2013,5(6):481-486.
作者姓名:郑光辉  王明江  焦彩霞  孙东敏
作者单位:南京信息工程大学 遥感学院, 南京, 210044;南京市浦口区气象局, 南京, 211800;南京信息工程大学 遥感学院, 南京, 210044;南京信息工程大学 遥感学院, 南京, 210044
基金项目:国家自然科学基金(41201215);江苏高校优势学科建设工程(PAPD)项目;2013年度大学生实践创新训练计划项目
摘    要:土壤有机质是土壤的重要组成部分,对许多土壤属性有重要影响.利用光谱技术进行土壤有机质的快速测定是实现精细农业的基础.近几十年中,高光谱技术的发展为土壤研究提供了新的手段.受土壤有机质质量分数、组成以及土壤水分、土壤质地的影响,室内光谱的估算结果总体较好;受大气、地表植被等影响,航空或卫星的成像光谱估算精度较低.星载成像技术的进步将在一定程度上提高土壤有机质的估算精度,为快速、大范围土壤有机质质量分数的遥感制图提供技术支持.

关 键 词:土壤有机质  高光谱  遥感
收稿时间:2012/11/28 0:00:00

Review on prediction of soil organic matter with reflectance spectroscopy
ZHENG Guanghui,WANG Mingjiang,JIAO Caixia and SUN Dongmin.Review on prediction of soil organic matter with reflectance spectroscopy[J].Journal of Nanjing Institute of Meteorology,2013,5(6):481-486.
Authors:ZHENG Guanghui  WANG Mingjiang  JIAO Caixia and SUN Dongmin
Institution:School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044;Pukou Meteorological Bureau of Nanjing, Nanjing 211800;School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044;School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044
Abstract:As an important component of soil,soil organic matter(SOM) has a primary impact on soil properties.The rapid monitoring of soil organic matter is the premise of precision agriculture,which can be achieved by soil spectrum technology.In recent decades,the development in hyper spectral technology provides a new method for soil organic matter monitoring.This paper makes a review and comparison on the various hyper spectral techniques applied in SOM monitoring.Influenced by soil factors like mass fraction and composition of SOM,water content and soil texture,the indoor spectrum technology is relatively accurate in SOM prediction results.While influenced by more factors from atmosphere as well as land vegetation,the airborne remote sensing or satellite remote sensing is low in accuracy of SOM prediction.The future progress of satellite imaging spectroscopy will improve the SOM prediction and facilitate the implementation of digital SOM mapping in large scale.
Keywords:soil organic matter(SOM)  hyper-spectrum  remote sensing
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