NDLI: Monitoring land use/land cover changes of Kunming city based on remote sensing technology and spatial metrics

Content Provider	IEEE Xplore Digital Library
Author	Ke Zhang Yaolong Zhao Hong Zhang
Copyright Year	2012
Description	Author affiliation: School of Urban Management and Resources Environment, Yunnan University of Finance and Economics, Kunming, China (Hong Zhang) \|\| School of Geography, South China Normal University, Guangzhou, China (Ke Zhang; Yaolong Zhao)
Abstract	The plateau lakeside Kunming city has experienced three decades of rapid urbanization and high economic growth since 1978 when China adopted reform and “open-door” policy. Dianchi watershed in which Kunming city is located also experienced the serious deterioration of ecological system from the late 1970s. In search of a viable way to coordinate between urban growth and protection of freshwater lake, objective of this paper is to monitor land use/land cover change of Kunming city through the methods of Remote Sensing (RS), Geographic Information System (GIS), spatial metrics and Moran's I. index. The results show that land use/land cover change in Kunming city is characterized by the sprawl of urban built-up area and the decrease of agricultural land. Urban built-up area has gradually replaced agricultural land to be the most dominant land use type in the study area. Urban growth of Kunming experienced a “clustered-dispersed-clustered” process, sprawling like an expanding pancake. There is very limited space for urban built-up area to further expand. Upon the analysis of the aspects that affect the sprawl characteristics, several useful suggestions were made for the authority and planners.
Starting Page	1
Ending Page	5
File Size	2706394
Page Count	5
File Format	PDF
ISBN	9781467311038
ISSN	2161024X
e-ISBN	9781467311045
DOI	10.1109/Geoinformatics.2012.6270335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GIS Moran's I Cities and towns Spatial metrics LUCC Artificial intelligence Monitoring
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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