LAND USE/LAND COVER MAPPING OF AN ALPINE REGION USING EXPERT SYSTEM CLASSIFICATION: A CASE STUDY OF THE LHASA RIVER BASIN, TIBETAN PLATEAU, CHINA

CORC > 昆明植物研究所 > 中国科学院昆明植物研究所 > 资源植物与生物技术所级重点实验室

	LAND USE/LAND COVER MAPPING OF AN ALPINE REGION USING EXPERT SYSTEM CLASSIFICATION: A CASE STUDY OF THE LHASA RIVER BASIN, TIBETAN PLATEAU, CHINA
	Yu, Haiying 1; Thapa, Rajesh 2; Xu, Jianchu1,3
刊名	SURVEY REVIEW
	2011-07-01
卷号	43 期号:321 页码:269-283
关键词	Land use/land cover mapping Tibetan Plateau Expert system Maximum likelihood classification Classification accuracy
ISSN号	0039-6265
通讯作者	Xu, JC (reprint author), Chinese Acad Sci, Kunming Inst Bot, Dept Biogeog & Ecol, Kunming 650204, Peoples R China
英文摘要	Various studies have shown that alpine ecosystems in the Tibetan Plateau are very sensitive to climate change and they are facing degradation. However such studies are regional and either use coarse resolution satellite imagery as a monitoring tool or rely upon secondary data. Traditional digital image classification methods normally can't meet specific needs of extracting land cover categories from satellite images. This paper aims to map land use/land cover (LULC) particularly the predominant rangeland vegetation in the Lhasa River Basin by applying an accurate expert system classification (ESC). Landsat ETM+ satellite imageries taken in 2000 and other digital datasets were used. To show the advantages of ESC, the results were compared with the results of maximum likelihood classification (MLC) system. The ESC resulted in a classified map with a significant higher accuracy (84.31%) than maximum likelihood classification (74.31%). This demonstrated the successful application of ESC in the Lhasa River basin and, most importantly, three rangeland vegetation categories were extracted with acceptable accuracy Furthermore, the results showed an effectively used of the two classifications in extracting LULC categories in zone above 4200m than in zone below 4200m, due to the relatively homogeneous landscapes. It is suggested that data of improved spatial and spectral resolution and more correct, complete and relevant expert knowledge could potentially improve the accuracy of ECS. Compared with the MLC, the ESC requires more time to extract and tune the knowledge in order to create rule bases. This drawback can be reduced by developing an automatic and reproducible system to extract knowledge from the data layers to a specific landscape in the future work
学科主题	Engineering; Geology; Remote Sensing
类目[WOS]	Engineering, Civil ; Geosciences, Multidisciplinary ; Remote Sensing
研究领域[WOS]	Engineering ; Geology ; Remote Sensing
关键词[WOS]	DECISION-TREE CLASSIFICATION ; REMOTELY-SENSED DATA ; ACCURACY ; INTEGRATION ; WETLANDS ; IMAGERY ; MODELS
收录类别	SCI
资助信息	European Commission
语种	英语
WOS记录号	WOS:000293056300005
公开日期	2012-04-10
内容类型	期刊论文
源URL	[http://ir.kib.ac.cn/handle/151853/5279]
专题	昆明植物研究所_资源植物与生物技术所级重点实验室
作者单位	1.Chinese Acad Sci, Kunming Inst Bot, Dept Biogeog & Ecol, Kunming 650204, Peoples R China 2.ICIMOD, Integrated Water & Hazard Management Programme, Kathmandu, Nepal 3.ICRAF China Program, World Agroforestry Ctr, Kunming 650204, Peoples R China
推荐引用方式 GB/T 7714	Yu, Haiying,Thapa, Rajesh,Xu, Jianchu. LAND USE/LAND COVER MAPPING OF AN ALPINE REGION USING EXPERT SYSTEM CLASSIFICATION: A CASE STUDY OF THE LHASA RIVER BASIN, TIBETAN PLATEAU, CHINA[J]. SURVEY REVIEW,2011,43(321):269-283.
APA	Yu, Haiying,Thapa, Rajesh,&Xu, Jianchu.(2011).LAND USE/LAND COVER MAPPING OF AN ALPINE REGION USING EXPERT SYSTEM CLASSIFICATION: A CASE STUDY OF THE LHASA RIVER BASIN, TIBETAN PLATEAU, CHINA.SURVEY REVIEW,43(321),269-283.
MLA	Yu, Haiying,et al."LAND USE/LAND COVER MAPPING OF AN ALPINE REGION USING EXPERT SYSTEM CLASSIFICATION: A CASE STUDY OF THE LHASA RIVER BASIN, TIBETAN PLATEAU, CHINA".SURVEY REVIEW 43.321(2011):269-283.