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| 煤田火区特征的土地覆盖分类方法 ——以乌达煤田火区为例 | |
| 引用本文： | 张春燕,郭杉,关燕宁,武建军,李加洪,蔡丹路,孔冰,贾跃荣,安旭东,马建伟,赵铁雄,康利花.煤田火区特征的土地覆盖分类方法 ——以乌达煤田火区为例[J].遥感学报,2011,15(1):148-162. |
| 作者姓名： | 张春燕 郭杉 关燕宁 武建军 李加洪 蔡丹路 孔冰 贾跃荣 安旭东 马建伟 赵铁雄 康利花 |
| 作者单位： | 1. 中国科学院,遥感应用研究所,北京,100101 2. 北京师范大学,减灾与应急管理研究院,北京,100875 3. 科技部高技术研究发展中心,北京,100862;国家遥感中心,北京,100036 4. 神华(北京)遥感勘查有限责任公司,北京,100085 5. 神华乌海能源有限责任公司,内蒙古乌海,016040 |
| 基金项目： | 国际科技合作重点项目: 中国北方地下煤火遥感检测技术研究-煤火和煤矿开采对土地覆盖变化和区域环境影响(编号: 2007DFA 90500-4) |
| 摘 要： | 土地覆盖变化是土地分析与评价和生态环境变化预测的重要科学基础, 通过精确的土地覆盖分类方法
获取高精度的土地覆盖图是研究煤田火区生态环境变化的必要手段。本文以最大似然法、光谱角度法、面向对象
分类法和基于复合分区的分层分类法进行乌达煤田火区土地覆盖分类的方法研究。研究结果表明, 基于复合分区的
分层分类方法分类精度较高, 总体分类精度为92.97%, kappa 系数为0.9155。该方法通过基于地表热辐射特征、热
异常状况、地貌类型, 以及对生态系统扰动状况等的划分, 减少了地物信息的混淆度, 即通过提 |
| 关 键 词： | 图像分类方法 土地覆盖 面向对象分类 层次分类 煤火 |
| 收稿时间： | 2010/4/14 0:00:00 |
| 修稿时间： | 2010/10/24 0:00:00 |
The approaches of land cover classification of the Wuda coal fire area |
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| ZHANG Chunyan,GUO Shan,GUAN Yanning,WU Jianjun,LI Jiahong,CAI Danlu,KONG Bing,JIA Yuerong,AN Xudong,MA Jianwei,ZHAO Tiexiong and KANG Lihua.The approaches of land cover classification of the Wuda coal fire area[J].Journal of Remote Sensing,2011,15(1):148-162. | |
| Authors: | ZHANG Chunyan GUO Shan GUAN Yanning WU Jianjun LI Jiahong CAI Danlu KONG Bing JIA Yuerong AN Xudong MA Jianwei ZHAO Tiexiong and KANG Lihua |
| Institution: | Institute of Remote Sensing Application, Chinese Academy of Science, Beijing 100101, China;;Institute of Remote Sensing Application, Chinese Academy of Science, Beijing 100101, China;;Institute of Remote Sensing Application, Chinese Academy of Science, Beijing 100101, China;;cademy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China;The High Technology Research and Development Center, Beijing 100862, China; National Remote Sensing Center of China, Beijing 100036, China;Institute of Remote Sensing Application, Chinese Academy of Science, Beijing 100101, China;;Shenhua (Beijing) Remote Sensing&GEO-Engineering Company LTD., Beijing 100085, China;Department of quenching fire of Shenhua Wuhai Energy Co. Ltd., Inner Mongolia Wuhai 016040, China;Institute of Remote Sensing Application, Chinese Academy of Science, Beijing 100101, China;;Shenhua (Beijing) Remote Sensing&GEO-Engineering Company LTD., Beijing 100085, China;;Department of quenching fire of Shenhua Wuhai Energy Co. Ltd., Inner Mongolia Wuhai 016040, China;Institute of Remote Sensing Application, Chinese Academy of Science, Beijing 100101, China; |
| Abstract: | Land cover change is an important scientific issue for the land evaluation and eco-environmental change forecasting. It is the necessary means to study the eco-environmental changes in coal fire zone by acquiring high precise land cover map through accurate classification approaches. In this paper, Maximum likelihood classification (MLC), Spectral Angle Mapping (SAM), object-oriented classification (OOC) and the multi-level classification based on compound subregion (MCBCS) approaches are used to classify land cover in the Wuda coal fire area. The results show that the multi-level classification based on compound subregion method leads to the highest accuracy up to 92.97% and the Kappa Coefficient is 0.9155. This method segments the study area based on the thermal characteristic, thermal anomalies, landscape and the disturbing to ecosystems. It reduces the confusion among different landcover types, emphasizes the zonal and regularity of land cover of the coal fire area in Gobi, and increases the separability of land cover. The multi-level classification based on compound subregion increases the whole accuracy by the accuracy improvement of single land cover. |
| Keywords: | image classification approach land cover object oriented classification multi-layer classification coal fire |
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