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基于MODIS遥感数据的呼伦贝尔土地荒漠化信息提取
引用本文:孟翔冲,姜琦刚,齐霞,王斌,吴阳春,李根军,杨佳佳.基于MODIS遥感数据的呼伦贝尔土地荒漠化信息提取[J].安徽农业科学,2012(5):2977-2979.
作者姓名:孟翔冲  姜琦刚  齐霞  王斌  吴阳春  李根军  杨佳佳
作者单位:1. 吉林大学地球探测科学与技术学院,吉林长春,130026
2. 沈阳地球物理勘察院,辽宁沈阳,110121
3. 吉林大学综合信息矿产预测研究所,吉林长春,130026
4. 吉林大学地球科学学院,吉林长春,130026
基金项目:中国地质调查局专项资助项目
摘    要:目的]基于MODIS遥感数据,对呼伦贝尔地区土地荒漠化信息进行提取。方法]基于空间分辨率为1 km的MODIS遥感数据,选取可以反映不同荒漠化特征的5个指标进行反演,并采用决策树分类方法对呼伦贝尔地区土地荒漠化信息进行提取。结果]呼伦贝尔地区土地荒漠化面积为33 862 km2,占全区总面积的20.36%,且主要以沙质荒漠化为主;通过野外验证及高分辨率解译数据采点验证,此评价方法总体精度达89%以上。结论]使用文中评价方法进行荒漠化监测,不仅能够对大尺度的荒漠化地区进行监测,而且具有较好的评价效果。

关 键 词:荒漠化  MODIS数据  遥感  决策树  反演

Extraction of Desertification Information in Hulun Buir Based on MODIS Image Data
Institution:MENG Xiang-chong et al(College of Geo-Exploration Science and Technology,Jilin University,Changchun,Jilin 130026)
Abstract:Objective] To extract desertification information of Hulun Buir region based on MODIS image data.Method] Based on MODIS image data with the spatial resolution of 1 km,5 indicators which could reflect different desertification features were selected to conduct inversion.The desertification information of Hulun Buir region was extracted by decision tree classification.Result] The desertification area of Hulun Buir region is 33 862 km2,accounting for 24% of the total area,and it is mainly dominated by sandiness desertification.Though field verification and mining point validation of high-resolution interpretation data,the overall accuracy of this evaluation is above 89%.Conclusion] Evaluation method of this paper is not only effectively for large scale regional desertification monitoring but also has a better evaluation performance.
Keywords:Desertification  MODIS image data  Remote sensing  Decision tree  Inversion
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