{"title":"基于MODIS-NDVI的滇西北香格里拉县植被覆盖度动态监测","authors":"Yu Deng, Jinliang Wang, Rubiao Ma","doi":"10.1109/Geoinformatics.2013.6626120","DOIUrl":null,"url":null,"abstract":"Vegetation Coverage is an important parameter to the development of climatic and ecological models. It is significant in monitoring ecological environment change and the recovery and reconstruction of vegetation. Shangri-La County, located in Northwest of Yunnan, upper and middle reaches of the Yangtze River, which is characterized by a difference in large elevation, landscape fragmentation, and ecological fragile environment. It has great significance to study the vegetation cover monitoring in this zone. The Dimidiate Pixel Model was used to extract vegetation coverage information using NDVI in 2000, 2006, and 2011 in Shangri-La County. Temporal and spatial pattern analyzed in the past 10 years in light of administrative division and geographic landform. The results showed that: (1) Respectively the data was 28.60%, 57.45% and 53.93% in 2000, 2006 and 2011, and now the data keeps on increasing; (2)The vegetation coverage in township level of study area is great different: Jinsha> Hutiaoxia> ShangJiang> Sanba> Dongwang> Xiaozhongdian> Nixi> Wujin> Geza> Luoji> Jiantang; (3) Vegetation coverage is increasing with altitude decreasing, the higher altitude and the lower vegetation coverage is. Whatever the elevation is, the vegetation coverage is increasing from 2000 to 2011, while vegetation coverage was decreasing by 10% nearly in the elevation of 4000-4500 from 2006 to 2011.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Dynamic monitoring of vegetation coverage in Shangri-La County of Northwest Yunnan based on MODIS-NDVI\",\"authors\":\"Yu Deng, Jinliang Wang, Rubiao Ma\",\"doi\":\"10.1109/Geoinformatics.2013.6626120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vegetation Coverage is an important parameter to the development of climatic and ecological models. It is significant in monitoring ecological environment change and the recovery and reconstruction of vegetation. Shangri-La County, located in Northwest of Yunnan, upper and middle reaches of the Yangtze River, which is characterized by a difference in large elevation, landscape fragmentation, and ecological fragile environment. It has great significance to study the vegetation cover monitoring in this zone. The Dimidiate Pixel Model was used to extract vegetation coverage information using NDVI in 2000, 2006, and 2011 in Shangri-La County. Temporal and spatial pattern analyzed in the past 10 years in light of administrative division and geographic landform. The results showed that: (1) Respectively the data was 28.60%, 57.45% and 53.93% in 2000, 2006 and 2011, and now the data keeps on increasing; (2)The vegetation coverage in township level of study area is great different: Jinsha> Hutiaoxia> ShangJiang> Sanba> Dongwang> Xiaozhongdian> Nixi> Wujin> Geza> Luoji> Jiantang; (3) Vegetation coverage is increasing with altitude decreasing, the higher altitude and the lower vegetation coverage is. Whatever the elevation is, the vegetation coverage is increasing from 2000 to 2011, while vegetation coverage was decreasing by 10% nearly in the elevation of 4000-4500 from 2006 to 2011.\",\"PeriodicalId\":286908,\"journal\":{\"name\":\"2013 21st International Conference on Geoinformatics\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 21st International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Geoinformatics.2013.6626120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 21st International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Geoinformatics.2013.6626120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic monitoring of vegetation coverage in Shangri-La County of Northwest Yunnan based on MODIS-NDVI
Vegetation Coverage is an important parameter to the development of climatic and ecological models. It is significant in monitoring ecological environment change and the recovery and reconstruction of vegetation. Shangri-La County, located in Northwest of Yunnan, upper and middle reaches of the Yangtze River, which is characterized by a difference in large elevation, landscape fragmentation, and ecological fragile environment. It has great significance to study the vegetation cover monitoring in this zone. The Dimidiate Pixel Model was used to extract vegetation coverage information using NDVI in 2000, 2006, and 2011 in Shangri-La County. Temporal and spatial pattern analyzed in the past 10 years in light of administrative division and geographic landform. The results showed that: (1) Respectively the data was 28.60%, 57.45% and 53.93% in 2000, 2006 and 2011, and now the data keeps on increasing; (2)The vegetation coverage in township level of study area is great different: Jinsha> Hutiaoxia> ShangJiang> Sanba> Dongwang> Xiaozhongdian> Nixi> Wujin> Geza> Luoji> Jiantang; (3) Vegetation coverage is increasing with altitude decreasing, the higher altitude and the lower vegetation coverage is. Whatever the elevation is, the vegetation coverage is increasing from 2000 to 2011, while vegetation coverage was decreasing by 10% nearly in the elevation of 4000-4500 from 2006 to 2011.