[1]张耀,周伟*. 利用多时相遥感图像动态监测矿区植被覆盖变化——以山西省平朔露天煤矿为例[J].西北林学院学报,2016,31(4):206-212.[doi:doi:10.3969/j.issn.1001-7461.2016.04.35]
　ZHANG Yao,ZHOU Wei*. Monitoring of Vegetation Coverage by Multi-temporal Images:A Case Study of Pingsu Coal Mine[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2016,31(4):206-212.[doi:doi:10.3969/j.issn.1001-7461.2016.04.35]
点击复制

 利用多时相遥感图像动态监测矿区植被覆盖变化——以山西省平朔露天煤矿为例()
分享到：

《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第31卷
期数:
2016年第4期
页码:
206-212
栏目:
出版日期:
2016-07-31

文章信息/Info

Title:
 Monitoring of Vegetation Coverage by Multi-temporal Images:A Case Study of Pingsu Coal Mine
文章编号:
1001-7461(2016)04-0206-07
作者:
 张耀1; 2; 周伟1; 2*
 （1.中国地质大学(北京) 土地科学技术学院，北京 100083；2.国土资源部 土地整治重点实验室，北京 100035）
Author(s):
 ZHANG Yao1; 2; ZHOU Wei1; 2*
 (1.School of Land Science and Technology,China University of Geosciences,Beijing 100083,China; 2.Key Laboratory of Land Consolidation and Rehabilitation,Ministry of Land Resources,Beijing 100035,China)
关键词:
归一化植被指数(NDVI); 归一化水分指数（NDWI）; 动态监测; Landsat时序数据; 露天煤矿
Keywords:
 ; normalized difference vegetation Iindex (NDVI);  nNormalized difference water index (NDWI);  dynamic monitoring;  Landsat series data;  surface coal mine
分类号:
S127
DOI:
doi:10.3969/j.issn.1001-7461.2016.04.35
文献标志码:
A
摘要:
 山西平朔露天矿投产近30 a，长期矿山生产造成了植被大面积破坏。利用遥感技术准确、快速监测矿区植被覆盖特征，对植被恢复和土地复垦监管具有重要意义。利用1987-2013年多时相Landsat数据，分析NDVI、NDWI和植被差值指数RNDVI，评价研究区植被长势和植被恢复状况。结果表明：27 a来研究区生长季NDVI均值整体上呈增加趋势，植被覆盖剧烈变化集中在无、中等和高植被覆盖区域；植被质量以改善为主，改善和退化面积分别为110.26、46.10 km2，其中显著改善和严重退化分别占研究区总面积的57.75%和21.26%；长期复垦的人工植被生长状态优于自然植被。本研究表明遥感技术可用于矿区复垦过程的实时、动态监测，有助于建立完善的矿区监管指标体系。
Abstract:
 In the area like Pingshuo Coal Mine,where extensive and rapid underground and opencast mining has been gone into operation for 30 years,resulted in coverage degradation in large area.Accurate quantification of long-term monitoring of vegetation coverage features by using remote sensing technology is of paramount importance for revegetation and land reclamation monitoring.A remote sensing based vegetation cover monitoring and assessment was presented and applied.In this study,multi-temporal Landsat TM/OLI data sets were used to identify and monitor the progress in the surface of mine area.In order to monitor and track the vegetation cover changes from 1987 to 2013,normalized difference vegetation index (NDVI),nrmalized difference water index (NDWI),NDVI difference index (RNDVI) and profile analysis were employed in the study.The varying vegetation indices were mapped,statistical evaluated and analyzed.The results of these analyses showed that,from 1987 to 2013,the area with the value of NDVI<0.2,which represented bare land,increased from 25.28 to 41.31 km2; the area of 0.2<NDVI≤0.3,which represented low vegetation cover,declined from75.45 km2 to 18.12 km2; the area of of 0.3<NDVI≤0.4,which represented medium vegetation cover had irregular variation; the area of NDVI>0.4,which represented high vegetation cover,increased from 9.15 to 55.49 km2.From 1987 to 2013,the area of degraded vegetation was 46.10 km2,which accounted for 26.41% of the study area; the area improved vegetation was 110.26 km2,which reached to 63.18%.The health of the revegetation from the reclaimed dump sites was better than that of the vegetation in natural environment.The results of this study indicated that the Landsat NDVI and NDWI data could be used in large coal mine area in the semi-arid area.

备注/Memo

备注/Memo:
 收稿日期：2015-12-30修回日期：2016-03-10
基金项目：国家自然科学基金（41571508）。
作者简介：张耀，女，硕士研究生，研究方向：资源环境遥感。E-mail:zhangyaors@126.com
*通信作者：周伟，男，教授，研究方向：土地利用工程、资源环境遥感与信息工程。E-mail:zhouw@cugb.edu.cn
更新日期/Last Update: