Modeling the spatial pattern of NPP from large surface mining area of semi-arid grassland using high resolution data from Chinese GF-1satellite
There are several active mining areas across the grassland at northeastern Mongolia, which have been considered as the coal production basin.Net primary productivity (NPP) as an indicator, which can measure the impact of human activities, was used to assess the mining affect in this region.The CASA was applied to modeling and assessing NPP around surface mining area of northeastern Mongolia at regional scale.The Chinese satellites GF-1 series data from growing seasons of 2014 with high resolution would provide the spatial land surface parameters of CASA model to monitor NPP distribution of mining area.The NPP obtained from the field sampling in 2014 was compared with the simulated values to verify the estimation accuracy of the CASA model.The results showed that:(1) there was the good correlation between the observed NPP and the estimated NPP (R2 =0.94, p < 0.0001) based on the CASA model using GF-1 data; (2) The mean actual grassland NPP was 260 gC/(m2.yr) around the mining area in 2014 and the actual grassland NPP decreased in center based mining area; (3) In the rehabilitated area of the mining area, the dump C with over 20 years rehabilitation produced the highest mean NPP of 572 gC/(m2.yr) from grass and woody, which was closed to the natural grassland site.
NPP Large surface mining area Chinese GF-1 satellite data Semi-arid grassland
Nisha Bao Lixin Wu Baoying Ye Feifei Zhao
Institute of Geo-informatics and Digital Mine,Northeastern University, Shenyang 110004, China Institute of Geo-informatics and Digital Mine,Northeastern University, Shenyang 110004, China;State- Institute of Geological Survey, China University of Geosciences (Beijing), Beijing 111000, China
国际会议
2015 International Academic Forum for Mine Surveying in China(2015中国国际矿山测量学术论坛)
北京
英文
426-432
2015-10-16（万方平台首次上网日期，不代表论文的发表时间）