REMOTE SENSING OF VEGETATION FRACTION FOR MONITORING RECLAMATION DYNAMICS: A CASE STUDY IN PINGSHUO MINING AREA

被引:2
|
作者
Yao, Zhang [1 ,2 ]
Wei, Zhou [1 ,2 ]
机构
[1] China Univ Geosci Beijing, Sch Land Sci & Technol, Beijing 100083, Peoples R China
[2] Minist Land Resources, Key Lab Land Consolidat & Rehabil, Beijing 100035, Peoples R China
基金
中国国家自然科学基金;
关键词
reclaimed area; vegetation indices; Landsat; Remote Sensing;
D O I
10.1109/IGARSS.2016.7730354
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Mining activities has caused long-term change in land surface and hydrological cycle. Accurate information of vegetation structure is important for assessing how mining activities affect ecosystem in mining areas. A remote sensing method based on vegetation cover monitoring and assessment by using Landsat data sets with the temporal coverage from 1989 to 2015 was presented and applied to the Pingshuo Coal Mining (PSM) area. We the monitored reclaimed vegetation variation through analyzing time series data of vegetation indices. To find the most suitable VIs for monitoring reclamation areas, we evaluated correlations between different vegetation indices and field vegetation fraction. The results showed that EVI, NDVI, PVI, RVI and TVI were significant positive correlation with field vegetation fraction, proving these vegetation indices were the sufficient tools to monitor revegetation. Most of the dumps were recovered with vegetation in PSM and the health of vegetation after long time reclamation was better than that in the natural environment.
引用
收藏
页码:5197 / 5200
页数:4
相关论文
共 50 条
  • [1] Correlation analysis between vegetation fraction and vegetation indices in reclaimed forest: a case study in Pingshuo mining area
    Yao, Zhang
    Wei, Zhou
    [J]. 2016 4RTH INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA), 2016,
  • [2] Remote Sensing Monitoring and Evaluation of Vegetation Restoration in Grassland Mining Areas-A Case Study of the Shengli Mining Area in Xilinhot City, China
    Hui, Jiawei
    Bai, Zhongke
    Ye, Baoying
    Wang, Zihao
    [J]. LAND, 2021, 10 (07)
  • [3] Estimation of Vegetation Fraction in Coalmine Area by Remote Sensing
    Hu Zhengqi
    Chen Tao
    [J]. ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 1, 2008, : 737 - 742
  • [4] Quality evaluation of land reclamation in mining area based on remote sensing
    Wang, Shidong
    Guo, Jianhua
    Yu, Yang
    Shi, Pujie
    Zhang, Hebing
    [J]. INTERNATIONAL JOURNAL OF COAL SCIENCE & TECHNOLOGY, 2023, 10 (01)
  • [5] Quality evaluation of land reclamation in mining area based on remote sensing
    Shidong Wang
    Jianhua Guo
    Yang Yu
    Pujie Shi
    Hebing Zhang
    [J]. International Journal of Coal Science & Technology, 2023, 10
  • [6] REMOTE SENSING MONITORING FOR VEGETATION CHANGE IN MINING AREA BASED ON SPOT-VGT NDVI
    Ma Baodong
    Wu Lixin
    Liu Shanjun
    [J]. 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 1730 - +
  • [7] Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit Mine
    Hu, Jiameng
    Ye, Baoying
    Bai, Zhongke
    Feng, Yu
    [J]. REMOTE SENSING, 2022, 14 (22)
  • [9] Remote sensing classification method of vegetation dynamics based on time series Landsat image: a case of opencast mining area in China
    Xu, Jiaxing
    Zhao, Hua
    Yin, Pengcheng
    Jia, Duo
    Li, Gang
    [J]. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2018,
  • [10] Remote sensing classification method of vegetation dynamics based on time series Landsat image: a case of opencast mining area in China
    Jiaxing Xu
    Hua Zhao
    Pengcheng Yin
    Duo Jia
    Gang Li
    [J]. EURASIP Journal on Image and Video Processing, 2018