Landscape pattern change monitoring and predicting using remote sensing method-taking Jiaozuo as an example

摘要：

　　Monitoring LULC and landscape status using multi-temporal RSD is an important way for environmental impacts and ecological degradation monitoring caused by coal resource exploitation.In this research, multi-temporal RSD captured on 1994, 2004 and 2015, together with a vector map, are selected as raw data.On the basis of SVM classification and CA_Markov simulation results, 31 yearsdynamic changing trend and the relationship between LULC change and landscape ecology are analyzed.The results demonstrate that the ability of CA_Markov model used for LULC changing trend simulation,and shown the changing trend of different land cover types, including water body, built-up area, farmland,bare land, etc.The signification of the research is that the effectiveness of RSD and CA_Markov model for landscape ecology changing monitoring and prediction are experimented and testified in mining area.Outcomes will certainly helpful to popularize the applicability of the strategies to environmental protection and utilization.

关键词： Remote Sensing Data (RSD) Land Use and Land Cover (LULC) change landscape ecology CA_Markov coal mining area

作者: P.Liu K.Li R.M.Han Y.M.Yang X.Q.Cheng C.Ma

作者单位: School of Surveying and Mapping Land Information Engineering, Henan Polytechnic University, Jiaozuo, School of Surveying and Mapping Land Information Engineering, Henan Polytechnic University, Jiaozuo,

会议类型: 国际会议

会议名称: The 2nd International Symposium on Land Reclamation and Ecological Restoration (第二届国际土地复垦与生态修复学术研讨会)

会议地点: 西安

会议语种:英文

页码: 159-162

在线出版日期: 2017-10-20（万方平台首次上网日期，不代表论文的发表时间）