摘要
人工植被重建是矿区废弃地生态修复的基础性工作,分析人工植被重建效果是评价生态修复质量的重要环节。文章以大柳塔矿区为主要研究区,应用面向对象分类和多尺度分割技术,综合地物光谱、纹理、空间信息的差异,提取人工植被。在此基础上,选取植被覆盖度、非植被覆盖率、乔灌草比重等指标,分析研究区2012-2016年间人工植被生长状况。研究结果表明:1)覆盖度在中低等级以上的人工植被增长效果较明显,占总增长的74.72%,说明人工植被生长情况在逐年好转。2)非植被地物覆盖率由19.66%下降到6.34%,裸地减少最为明显,生态环境得到明显改善。3)人工植被占比由3.75%增长到3.92%,林地占比减少,研究区整体生态等级有所降低。
Artificial vegetation reconstruction is the basic work of ecological restoration for mining abandoned land. And it is an important procedure to evaluate the quality of ecological restoration. In this research,the artificial vegetation was extracted on the basis of information difference of spectral,texture and spatial information in Daliuta mining area by applying object-oriented method and multi-scale segmentation technology. Moreover,the vegetation coverage,non-vegetation coverage,and the proportions of shrub and grass were selected to analyze the growth condition of artificial vegetation in the study area from 2012 to 2016. The results showed that：（1） The increase rate of artificial vegetation,its coverage was above the middle and low grades,was significant,accounting for 74. 72% of the total vegetation increase,indicating that the artificial vegetation was improved year by year.（2） The coverage rate of the land without vegetation cover decreased from 19. 66% to 6. 34%,which indicated that the bare land was decreased and the ecological environment was improved obviously.（3） The proportion of artificial vegetation increased from 3. 75% to 3. 92%,and the proportion of woodland reduced,demonstrated that the overall ecological grade of the study area decreased.
作者
陈航
雷少刚
CHEN Hang;LEI Shaogang(School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2018年第7期98-103,共6页
Journal of Arid Land Resources and Environment
基金
国家重点研发计划(编号:2016YFC0501107)
国家自然科学基金重点项目(U1361214)资助
关键词
人工植被
面向对象分类
重建效果分析
artificial vegetation reconstruction
object -oriented classification
reconstruction effect analysis
