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遥感石漠化信息的提取
引用本文:胡顺光,张增祥,夏奎菊.遥感石漠化信息的提取[J].地球信息科学,2010,12(6):870-879.
作者姓名:胡顺光  张增祥  夏奎菊
作者单位:1. 中国科学院遥感应用研究所, 北京 100101; 2. 中国科学院研究生院, 北京 100049; 3. 中国地质大学长城分院, 保定071000
基金项目:国家科技支撑计划课题“水土保持调节功能时空数据集成与分析”(2006BAC08B0405); 国家“十一五”科技支撑计划重大课题“喀斯特高原退化生态系统综合整治技术与模式”(2006BAC01A09); 贵州省科技计划课题“贵州喀斯特石漠化生态系统综合整治技术与模式的研究与示范”(黔科合S字[2007]1061号)
摘    要:石漠化信息提取是多种信息综合分析、反馈的过程。通过分析当前石漠化分级体系,对比喀斯特地区与石漠化范围、土地利用与石漠化关系,并结合当前石漠化信息提取关键技术研究认为:目前的石漠化分级体系在划分级别、分级指标、分级区域等方面存在巨大差异,将尺度划分引入石漠化等级体系是统一石漠化等级划分差异的有力途径;充分利用基于内容的特征识别算法进行喀斯区的圈定可以有效提高石漠化信息提取精度;利用已有的土地利用矢量数据,通过合理转换进行石漠化信息提取是重要研究思路;传统的建立石漠化解译标志、改进植被指数模型以及建立波谱关系模型等石漠化信息提取方法无法很好融合石漠化综合指征,提出基于遥感的石漠化综合指标度进行石漠化信息的提取方法。

关 键 词:石漠化  遥感  指标因子  土地利用  
收稿时间:2009-12-15

Information Extraction of Karst Rocky Desertification Using Remote Sensing
HU Shunguang,ZHANG Zengxiang,XIA Kuiju.Information Extraction of Karst Rocky Desertification Using Remote Sensing[J].Geo-information Science,2010,12(6):870-879.
Authors:HU Shunguang  ZHANG Zengxiang  XIA Kuiju
Institution:1. Institute of Remote Sensing Applications,CAS,Beijing 100101,China; 2. Graduate University of Chinese Academy of Sciences,Beijing 100049,China; 3. China University of Geosciences Great Wall College,Baoding 071000,China
Abstract:China South-western karst rocky desertification has been more and more concerned due to its increasingly far-ranging influence on economical society and ecological environment.By remote sensing,a wide range of rocky desertification information can be practicably obtained.However,information extraction of rocky desertification based on remote sensing is not just an isolated technology,but a process of comprehensive analysis and feedback.To further explore the technology on information extraction of rocky desertification,this paper is mainly related to illustrating current developing of information extraction technology on rocky desertification,and on the basis of this,a new strategy for information extraction of rocky desertification has been raised.Specifically,we firstly analyze current researches of rocky desertification classification system,and then make a comparison between karst area and rocky desertification region.Furthermore,we illustrate the relationship between land use and rocky desertification,and summarize the current key technology of extracting rocky desertification information.Finally,we have drawn four aspects of conclusions as following: Firstly,due to huge differences in the aspects of classification amount,classification index and classification regions in current classification system of rocky desertification,it is useful to introduce the scale division method into the system,which can unify different classification types of rocky desertification levels.Secondly,the content-based characteristic discerned algorithm is a helpful research taste for karst area extracting,which can raise the precision of extracting rocky desertification information at last.Thirdly,it is an important way to transfer land use vector data into rocky desertification information by rationally using the corresponding relationship between different types of land use data and different rocky desertification levels.Fourthly,traditional research methods that building rocky desertification symbol,improving vegetation index model or establishing spectrum relationship model to extract rocky desertification information cannot well compromise the comprehensive characteristics of rocky desertification,so an extraction method based on rocky desertification comprehensive index has been put forward as a result.
Keywords:rocky desertification  remote sensing  index factor  land use
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