Chunyan Zhang, Y. Guan, Shan Guo, Jia-Hong Li, Jianjun Wu, Yuerong Jia, Danlu Cai, Hong-Wei Duan, Xin Zhang, Tiejun Zhao, Xudong An, Lihua Kang
{"title":"Land-cover change of the wuda coal fire area","authors":"Chunyan Zhang, Y. Guan, Shan Guo, Jia-Hong Li, Jianjun Wu, Yuerong Jia, Danlu Cai, Hong-Wei Duan, Xin Zhang, Tiejun Zhao, Xudong An, Lihua Kang","doi":"10.1117/12.910411","DOIUrl":null,"url":null,"abstract":"Coal fire generates a number of environmental problems and results in disorderly changes of landcover. Detecting the change of Land-cover is an important scientific issue of the land evaluation and the eco-environmental change forecasting. The temporal land cover maps with high accuracy make it possible to explore the eco-environmental changes of coal fire area. In thispaper, the multi-layer segmentation-based classification approach, Markov Transition Matrix methodology and Dynamic indexesby using Landsat TM data was carried out. The results reveal that coal mine and resident change are mostly in recent decades among all land cover types. Private coal mining exploitation and government administrative measures are the deriving factors.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Symposium on Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.910411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Coal fire generates a number of environmental problems and results in disorderly changes of landcover. Detecting the change of Land-cover is an important scientific issue of the land evaluation and the eco-environmental change forecasting. The temporal land cover maps with high accuracy make it possible to explore the eco-environmental changes of coal fire area. In thispaper, the multi-layer segmentation-based classification approach, Markov Transition Matrix methodology and Dynamic indexesby using Landsat TM data was carried out. The results reveal that coal mine and resident change are mostly in recent decades among all land cover types. Private coal mining exploitation and government administrative measures are the deriving factors.