| 基于SPOT卫星NDVI数据的神东矿区植被覆盖动态变化分析 |
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| 引用本文： | 吴立新,马保东,刘善军.基于SPOT卫星NDVI数据的神东矿区植被覆盖动态变化分析[J].煤炭学报,2009,34(9):1217-1222. |
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| 作者姓名： | 吴立新 马保东 刘善军 |
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| 作者单位： | 1.东北大学 测绘遥感与数字矿山研究所，辽宁 沈阳，110004;
2.北京师范大学 环境演变与自然灾害教育部重点实验室，北京，100875;
3.北京师范大学 民政部/教育部减灾与应急管理研究院，北京，100875 |
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| 基金项目： | 国家杰出青年基金资助项目(50525414);;中国科协博士生创新研究资助项目(kjdb20090102-7);;北京师范大学“985工程”创新平台资助项目 |
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| 摘 要： | 利用SPOT-4/5卫星的NDVI遥感数据，采用沙化土地分级变化检测与一元线性回归方法，对神东矿区1999-2008年植被覆盖和土地沙化的动态变化进行了分析.揭示了10 a来神东矿区的植被覆盖指数值整体呈增加趋势，矿区内绝大部分地表植被覆盖得到改善，其中明显改善区面积达82.13％，退化区面积不足1％；矿区沙漠化情况整体有所好转，重度沙漠化区面积比由88.33％下降到23.56％.结合矿区生态环境治理措施与实效分析，表明SPOT-4/5卫星的NDVI数据可用于中国西北地区大型煤矿区植被覆盖变化和土地沙化监测与分析.
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| 关 键 词： | 归一化植被指数（NDVI） 植被覆盖 土地沙化 矿区环境遥感 |
| 收稿时间： | 2009-04-21 |
Analysis to vegetation coverage change in Shendong mining area with SPOT NDVI data |
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| WU Li-xin,,MA Bao-dong,LIU Shan-jun.Analysis to vegetation coverage change in Shendong mining area with SPOT NDVI data[J].Journal of China Coal Society,2009,34(9):1217-1222. |
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| Authors: | WU Li-xin MA Bao-dong LIU Shan-jun |
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| Affiliation: | 1.Institute for Geo-informatics & Digital Mine Research;Northeastern University;Shenyang 110004;China;2.Key Laboratory of Environment Change & Natural Disaster of Ministry of Education;Beijing Normal University;Beijing 100875;3.Academy of Disaster Reduction & Emergency Management of Ministry of Civil Affairs/Ministry of Education;China |
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| Abstract: | Using NDVI data from SPOT-4/5 satellite, and applying the gradation change detection method for land desertification and the unary linear regression method, the dynamic change, in 1999—2008, of the vegetation coverage and land desertification in Shendong coal mining area in Northwest China was analyzed. It is revealed that the NDVI in Shendong increases integrally, and the land vegetation coverage in most of the mining area is improved. The ratio of obviously improved area reaches to 82.13%, while the ratio of degraded area is no more than 1%. The situation of land desertification is improved a lot in that the ratio of serious desertification area is decreased from 88.33% to 23.56%. It shows that the SPOT NDVI data can be used for the monitoring and analysis on vegetation coverage and land desertification in lager coal mining areas in Northwest China. |
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| Keywords: | normalized difference vegetation index(NDVI) vegetation coverage land desertification environment remote sensing in mining area |
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