高光谱遥感反演土壤重金属含量研究进展  

Review of Retrieving Soil Heavy Metal Content by Hyperspectral Remote Sensing

作　　者：贺军亮[1,2] 张淑媛[2] 查勇[1] 蒋建军[1] 

机构地区：[1]南京师范大学地理科学学院虚拟地理环境教育部重点实验室,江苏南京210046 [2]石家庄学院资源与环境科学学院,河北石家庄050035

出　　处：《遥感技术与应用》2015年第3期407-412,共6页Remote Sensing Technology and Application

基　　金：国家自然科学基金面上项目(41373112);国家自然科学青年基金项目(41201215)资助

摘　　要：土壤重金属污染是当今重要的世界性环境问题之一。如何快速高效地获取土壤重金属含量及分布信息是进行污染风险评价及预测研究的前提。高光谱遥感具有无损、实时获取信息的优势,利用高光谱技术反演土壤重金属含量仍处于探讨阶段,对其反演机理和建模方法的研究成果进行了介绍和分析。认为充分研究不同类型土壤对重金属的吸附特性,是深入理解重金属含量反演机理的基础。加强不同土壤类型、不同污染程度的案例对比分析,发展光谱信号处理方法,引入非线性建模算法,构建重金属形态量反演模型,是土壤重金属含量遥感估算研究的重要研究方向。Heavy metal pollution in soil is one of the major environmental issues in the world.The issue that how to obtain the information of heavy metals content and distribution in soil rapidly and efficiently,which is the prerequisite for assessment and evaluation of pollution risk.Hyperspectral remote sensing has the advantage of offering non-destructive and real-time information while the study of retrieving soil heavy metals content by hyperspectral remote sensing is still under discussion.So this paper introduced and analyzed the achievements of inversion mechanism and modeling methods.The analysis shows that fully study of the adsorption properties of heavy metals in different soil types is the basis for deeply understanding inversion mechanism of heavy metals content in soils.This paper offered to strengthen the comparative analysis of different kinds of soil and different degree of pollution cases,develop the spectral signal processing methods,and introduce the algorithms for nonlinear models and setting up the model for chemical forms of heavy metals,which are the key research directions to estimate heavy mental content in soil by remote sensing.

关 键 词：土壤重金属 高光谱遥感 反演模型 吸附特性 

分 类 号：X87[环境科学与工程—环境工程] X53