| The dolomite mining area of the Mufu Mountain in Nanjing has made significant contributions to the local economic development and urban development and construction under the long-term disorderly mining area,but also inevitably led to the destruction of the regional ecological environment and natural landscape.A large number of environmental pollution and damage have occurred,and various geological disasters of various degrees have been formed,which have caused a serious threat to the local ecological environment and even the living environment of the people.Since the end of 1998,the Nanjing Municipal Government’s leading group decided to completely stop mining and officially launched the Mufu Mountain ecological restoration project.By the end of 2008,the tenth phase and two special ecological restoration projects have been completed.In order to scientifically and objectively evaluate the ecological restoration effects produced by these ecological restoration projects,especially the vegetation restoration effects and Monitoring,analysis and evaluation of effects requires monitoring and analysis of vegetation growth and distribution in the Mufu Mountain area.The traditional method of field investigation must be at the expense of greater labor and time costs,and the monitoring and analysis results obtained More subjective and crude.Remote sensing optical image data has a great ability to express ground object information and has multi-source,multi-temporal,multi-resolution data that can meet various research needs,at the same time,the quickly acquired 3D laser point cloud data of the Mufu Mountain mining area through UAV lidar scanning technology has the advantages of high data accuracy,high point cloud density,and rich 3D structure information on the surface.This article comprehensively uses the advantages of long-time remote sensing optical image data and high-precision three-dimensional laser point cloud data to obtain terrain information and terrain information at different time series and different spatial scales.Vegetation growth and distribution information,completed the investigation and monitoring of the vegetation restoration in the minging area of Mufu Mountain at different time and space scales,and analyzed the monitoring results of the vegetation restoration effectiveness,and completed the topographic factors and vegetation restoration in the Mufu Mountain area.Preliminary exploration of the mechanism of action,the main research work of this article is as follows:(1)Monitoring the effectiveness of vegetation restoration in Mufu Mountain based on the GEE platform on the two-dimensional structureThis paper firstly used Landsat remote sensing image data from 1991 to 2020 in the Mufu Mountain area to complete the screening and cropping,calculate the annual NDVI,and then use the pixel binary model to calculate the vegetation coverage FVC results;based on the FVC results,the analysis of the change trend of Sen + Mann Kendall method was completed in 1991 ～ 1998,1998 ～ 2008 and 2008 ～ 2020 respectively,and the monitoring results of the change trend of vegetation coverage in the mining area were obtained.Based on the results of vegetation coverage and the monitoring results of its temporal and spatial changes,a long-term and dynamic monitoring of the effectiveness of vegetation restoration on the two-dimensional structure in the Mufu Mountain mining area was completed.(2)Monitoring the effectiveness of vegetation restoration in Mufu Mountain based on 3D laser point cloud on the vertical structureIn this paper,the high-density,high-precision and large-scale original laser point cloud data of the study area are obtained by UAV lidar scanning technology in the mining area of Mufu Mountain.Through the pre-processing of point cloud splicing,registration,clipping and denoising,the original laser point cloud data are classified based on suitable method of the point cloud filtering for the terrain features of the study area,and the accurate ground point cloud was obtained;On this basis,the irregular triangulation interpolation method was used to generate high-precision DEM based on high-precision ground point cloud;At the same time,the accurate vegetation point cloud in the study area was obtained by using the morphological features of vegetation.Based on the obtained high-precision DEM and accurate vegetation point cloud in the study area,the study of obtaining relevant topographic factors from DEM and obtaining vegetation growth and distribution information from accurate vegetation point cloud in the study area was completed,and the detection of vegetation restoration effect in the current mining area on the vertical structure was obtained.(3)Research on the Correlation between Mine Vegetation Restoration and Topographical FactorsThe relationship between vegetation restoration and topographic factors was analyzed and studied by using the monitoring results of vegetation restoration effect based on GEE platform and the results of vegetation restoration and terrain factors based on 3D laser point cloud data.The correlation analysis between various topographic factors(including elevation,slope,aspect and topographic humidity index)and vegetation growth and distribution under different time series and different spatial scales was explored.In addition,based on the preliminary investigation results of the correlation,the application index "Arbors Growth Suitability" was defined,and the suitability of vegetation restoration of abandoned mines under different terrain conditions in the study area was obtained,which provided some reference of decisionmaking for vegetation restoration engineering.By using the remote sensing optical image data at long time series and highprecision UAV LIDAR point cloud data of the study area,the investigation,monitoring and analysis of vegetation restoration in Mufu mountain mining area in different time and space scales are completed,which can provide reference for subsequent decisionmaking and is more conducive to improving the attention to ecological restoration. |
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