Analysis of the Evolution of Land Use in Tianjin Binhai New Area and Caofeidian Region

doi:10.11873/j.issn.1004-0323.2012.2.289

Remote Sensing Technology and Application

2012, Vol. 27

Issue (2): 289-295 DOI: 10.11873/j.issn.1004-0323.2012.2.289

Analysis of the Evolution of Land Use in Tianjin Binhai New Area and Caofeidian Region

Li Na^1,2,Yan Dongmei¹,Zhang Li¹

(1.Center for Earth Observation and Digital Earth Chinese Academy of Sciences,Chinese Academy of Sciences,Beijing 100094,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)

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Abstract

There have been a great changes for the land use and land cover in Tianjin Binhai new area and Caofeidian region since 1980s.Based on four years (1984,2000,2006 and 2009) Landsat images,this paper analyzed land use change characteristics for the past 26 years in the two study areas.This study adopted the maximum likelihood classification and post-classification change detection methods to monitor the land use dynamic variation characteristics,which clarified the regional differences of land use change,and provided valid decision for sustainable land use.The results indicated that:① The pond was the major land use type in the two areas,especially in Caofeidian,where the pond area covered 60%~70% of the total land area.The total land area showed an increasing trend with land reclamation from sea area since 1980s;② the reduction of cultivated area and the increasing of construction sites are the main features of land use change in two areas,especially after 2000;③ in the Binhai new area,the center of land trend for construction sites had mores towards southwest,whereas the other land use types had migrates to northeast.In Caofeidian region,the center of land use types had obvious southward trends.

Key words: Land use classification Change detection Spatial-temporal analysis

Received: 04 September 2011 Published: 23 January 2013

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Cite this article:

Li Na,Yan Dongmei,Zhang Li. Analysis of the Evolution of Land Use in Tianjin Binhai New Area and Caofeidian Region. Remote Sensing Technology and Application, 2012, 27(2): 289-295.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2012.2.289 OR http://www.rsta.ac.cn/EN/Y2012/V27/I2/289

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