Literature DB >> 26700678

Monitoring urban expansion and its effects on land use and land cover changes in Guangzhou city, China.

Yanyan Wu1, Shuyuan Li1, Shixiao Yu2.   

Abstract

There are widespread concerns about urban sprawl in China. In response, modeling and assessing urban expansion and subsequent land use and land cover (LULC) changes have become important approaches to support decisions about appropriate development and land resource use. Guangzhou, a major metropolitan city in South China, has experienced rapid urbanization and great economic growth in the past few decades. This study applied a series of Landsat images to assess the urban expansion and subsequent LULC changes over 35 years, from 1979 to 2013. From start to end, urban expansion increased by 1512.24 km(2) with an annual growth rate of 11.25 %. There were four stages of urban growth: low rates from 1979 to 1990, increased rates from 1990 to 2001, high rates from 2001 to 2009, and steady increased rates from 2009 to 2013. There were also three different urban growth types in these different stages: edge-expansion growth, infilling growth, and spontaneous growth. Other land cover, such as cropland, forest, and mosaics of cropland and natural vegetation, were severely impacted as a result. To analyze these changes, we used landscape metrics to characterize the changes in the spatial patterns across the Guangzhou landscape and the impacts of urban growth on other types of land cover. The significant changes in LULC and urban expansion were highly correlated with economic development, population growth, technical progress, policy elements, and other similar indexes.

Keywords:  Driving factors; Guangzhou city; Land use/land cover change; Urban expansion; Urban growth types

Mesh:

Year:  2015        PMID: 26700678     DOI: 10.1007/s10661-015-5069-2

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  7 in total

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2.  Modeling the spatial dynamics of regional land use: the CLUE-S model.

Authors:  Peter H Verburg; Welmoed Soepboer; A Veldkamp; Ramil Limpiada; Victoria Espaldon; Sharifah S A Mastura
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3.  China's living laboratory in urbanization.

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4.  Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools.

Authors:  Karen C Seto; Burak Güneralp; Lucy R Hutyra
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-17       Impact factor: 11.205

5.  Temporal and spatial change detecting (1998-2003) and predicting of land use and land cover in core corridor of Pearl River Delta (China) by using TM and ETM+ images.

Authors:  Fenglei Fan; Yunpeng Wang; Zhishi Wang
Journal:  Environ Monit Assess       Date:  2007-06-13       Impact factor: 3.307

6.  Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960-2005.

Authors:  Ashraf M Dewan; Yasushi Yamaguchi
Journal:  Environ Monit Assess       Date:  2008-03-04       Impact factor: 3.307

7.  A meta-analysis of global urban land expansion.

Authors:  Karen C Seto; Michail Fragkias; Burak Güneralp; Michael K Reilly
Journal:  PLoS One       Date:  2011-08-18       Impact factor: 3.240

  7 in total
  7 in total

1.  Analysis of landscape changes as an indicator for environmental monitoring.

Authors:  Hakan Alphan
Journal:  Environ Monit Assess       Date:  2016-12-20       Impact factor: 2.513

2.  Monitoring urban growth by using segmentation-classification of multispectral Landsat images in Izmit, Turkey.

Authors:  Selin Yildiz; Mehmet Fatih Doker
Journal:  Environ Monit Assess       Date:  2016-06-06       Impact factor: 2.513

3.  Quantifying the effects of LUCCs on local temperatures, precipitation, and wind using the WRF model.

Authors:  Lishu Lian; Baofu Li; Yaning Chen; Cuicui Chu; Yanhua Qin
Journal:  Environ Monit Assess       Date:  2017-09-11       Impact factor: 2.513

4.  Quantitative assessment of human-induced impacts based on net primary productivity in Guangzhou, China.

Authors:  Yanyan Wu; Zhifeng Wu
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-08       Impact factor: 4.223

5.  Monitoring and assessment of urban growth patterns using spatio-temporal built-up area analysis.

Authors:  Maher Milad Aburas; Yuek Ming Ho; Mohammad Firuz Ramli; Zulfa Hanan Ash'aari
Journal:  Environ Monit Assess       Date:  2018-02-20       Impact factor: 2.513

6.  Geospatial measurement of urban sprawl using multi-temporal datasets from 1991 to 2021: case studies of four Indian medium-sized cities.

Authors:  Vishal Chettry
Journal:  Environ Monit Assess       Date:  2022-10-10       Impact factor: 3.307

7.  Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques-A case study of a hilly area, Jiangle, China.

Authors:  Chen Liping; Sun Yujun; Sajjad Saeed
Journal:  PLoS One       Date:  2018-07-13       Impact factor: 3.240

  7 in total

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