Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling

Weng, Qihao

doi:10.1006/jema.2001.0509

Cited by 760 publications

(462 citation statements)

References 29 publications

(45 reference statements)

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“…Developing a quantitative method to identify different types of urban growth is useful and meaningful to help local, regional and state land use planners better understand and address the issues attributed to sprawl. In many of the previous researches, urban growth analyses were conducted either at the metropolitan scale as a whole (Weng, 2002;Yang and Lo, 2002;Serra et al, 2003;Xian and Crane, 2005;Huang et al, 2007;Jat et al, 2008a,b), or within natural landscape boundaries such as those of a watershed (Clapham, 2003). Technology about quantifying different urban growth types from remote sensing data has not been adequately investigated.…”

Section: Introductionmentioning

confidence: 99%

“…Remote sensing provides a spatially consistent coverage of large areas with a high spatial detail and a high temporal frequency. It has advantages in characterizing the spatial temporal trends of urban growth using multi-stage images (Weng, 2002;Yang and Lo, 2002;Serra et al, 2003;Xian and Crane, 2005;Huang et al, 2007;Jat et al, 2008a,b). Combined with spatial metrics, remote sensing data offer the potential to characterize the change of urban growth dynamics (Herold et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data

Sun¹,

Wu²,

Lv³

et al. 2013

International Journal of Applied Earth Observation and Geoinfor

188

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data

Sun¹,

Wu²,

Lv³

et al. 2013

International Journal of Applied Earth Observation and Geoinfor

188

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“…Markov chains are stochastic processes (Balzter 2000) and uses the matrices that show changes between land-use categories (based on the basic core principle of continuation of historical development) (Koomen and Beurden 2011) and widely used in modeling and simulating changes and trends of LULC (Balzter 2000;Coppedge et al 2007;Hathout 2002;Luo et al 2008;Muller and Middleton 1994;Weng 2002). The homogeneous Markov model for prediction of land use change can be mathematically presented as (Subedi et al 2013):…”

Section: Markov Chainmentioning

confidence: 99%

Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran

Parsa

Yavari

Nejadi

2016

Model. Earth Syst. Environ.

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Main global environment and ecological functions and structure affected by land use/cover changes (LUCC). Analysis of the dynamic LUCC can be very useful in biosphere reserves (BRs) management. The Land use and cover (LULC) spatio-temporal changes in the Arasbaran BR were classified (as Agricultural, Forest and Barren/Range lands), and compared with future spatial pattern (simulated using the CA-Markov model) to evaluate qualitative and quantitative changes of this BR LULC over time (1989, 2000 and 2013 with 2037). This analysis consisted of the whole area and also in respect to each of the zones within the Arasbaran BR (as a new approach to assess BR management quality). Based on this approach, the LUCC monitoring alongside the future simulation offers an early warning system that also shows us trends and consequences of the changes for the whole BR as well as for each zone (including the core zone) of BR separately. The results show a downward trend for forestland at the expense of increasing agricultural and barren/range land surface areas. Furthermore this loss of remnant forest vegetation is not only true for the whole BR (; including its buffer and transitional zones) but is happening within the core zone where it will probably continue more severely in the near future. The results demonstrate the priority need for more severe regulations regarding protection of this BR against LUCCs and for its valuable core zone forest LULC in particular.

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“…The drivers of LUCC are usually divided into two major categories: natural factors and socioeconomic factors (Weng, 2002). Naveh (1995), Crow et al (1999), Veldkamp and Verburg (2004) and Huang et al (2007) made multiple efforts to identify the natural elements of LUCC.…”

Section: Driving Mechanism Of Luccmentioning

confidence: 99%

Reviews on land use change induced effects on regional hydrological ecosystem services for integrated water resources management

Gui

Wang

Zhao

et al. 2015

Physics and Chemistry of the Earth, Parts A/B/C

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a b s t r a c tThis paper proposed to provide valuable information for integrated water resources management through evaluating the research on the interaction mechanism among land use changes, regional hydrological ecosystem services and human well-being. Firstly, the driving mechanism of land use and land cover changes was introduced in this paper. Secondly, the overview of the interaction mechanism among land use and land cover changes, regional hydrological ecosystem services and human well-being was given. Based on the meta-analysis, land use changes have a profound influence on regional hydrological ecosystem services, and the variation of hydrological ecosystem could benefit or impair human wellbeing. Finally, two suggestions were emphasized for managers or policy makers for the future integrated water resources management: (1) Proper land use makes for the water resource management; (2) Blindly pursuing the provisioning services weakens other services of hydrological ecosystem.

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Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling

Abstract: Rapid land use change has taken place in many coastal regions of China such as the Zhujiang

Cited by 760 publications

References 29 publications

Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data

Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data

Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran

Reviews on land use change induced effects on regional hydrological ecosystem services for integrated water resources management

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