Effects of urbanization and industrialization on agricultural land use in Shandong Peninsula of China

Lu, Qi; Liang, Fuyuan; Bi, Xiaoli; Duffy, Rodney; Zhao, Zhidan

doi:10.1016/j.ecolind.2011.04.026

Cited by 67 publications

(32 citation statements)

References 11 publications

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“…O'Hara et al (2003) examined the complex assemblages of vegetation and their seasonal variability based on Landsat imagery acquired from leaf-off and leaf-on conditions in 1991 and 2000. Lu et al (2011) used multiple resolution images (MSS, TM/ ETM) to extract various LULC types, including forest and orchard, double-cropping land, single-cropping land, no-vegetable land, and water, in the Shandong Peninsula, a coastal region in China, based on temporal characteristics of vegetation, water, barren land, and urban areas.…”

Section: Introductionmentioning

confidence: 99%

Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China

Yang

Chen

et al. 2015

Environ Monit Assess

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Land use/land cover (LULC) inventory provides an important dataset in regional planning and environmental assessment. To efficiently obtain the LULC inventory, we compared the LULC classifications based on single satellite imagery with a rule-based classification based on multi-seasonal imagery in Lianyungang City, a coastal city in China, using CBERS-02 (the 2nd China-Brazil Environmental Resource Satellites) images. The overall accuracies of the classification based on single imagery are 78.9, 82.8, and 82.0% in winter, early summer, and autumn, respectively. The rule-based classification improves the accuracy to 87.9% (kappa 0.85), suggesting that combining multi-seasonal images can considerably improve the classification accuracy over any single image-based classification. This method could also be used to analyze seasonal changes of LULC types, especially for those associated with tidal changes in coastal areas. The distribution and inventory of LULC types with an overall accuracy of 87.9% and a spatial resolution of 19.5 m can assist regional planning and environmental assessment efficiently in Lianyungang City. This rule-based classification provides a guidance to improve accuracy for coastal areas with distinct LULC temporal spectral features.

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Section: Introductionmentioning

confidence: 99%

Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China

Yang

Chen

et al. 2015

Environ Monit Assess

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“…During 1986During -2003 expansion in China occurred on more than 33,400 km 2 of farmland, accounting for 21% of total farmland loss (Chen, 2007). Much recent research has examined the characteristics of urban expansion and the consequent farmland loss in different regions (Verburg et al, 1999;Batisani and Yarnal, 2009;Deng et al, 2010;Jiang et al, 2012;Kong et al, 2012;Lu et al, 2011) However, less attention has been paid to the quality of farmland lost through urban expansion. In particular, no quantitative indicator of high-quality farmland (HQF) consumption due to urbanization has been developed.…”

Section: Introductionmentioning

confidence: 99%

Urban expansion and its consumption of high-quality farmland in Beijing, China

Song

Pijanowski

Tayyebi

2015

Ecological Indicators

162

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a b s t r a c tChina faces the challenge of using limited farmland to feed more than 1.3 billion people. Accelerated urbanization has exacerbated this challenge by consuming a large quantity of high-quality farmland (HQF). It is therefore essential to assess the degree to which urban expansion has preferentially consumed HQF, and discern the mechanism behind this. We found urban areas in Beijing to expand at speeds of 48.97 km 2 /year, 21.89 km 2 /year, 62.30 km 2 /year and 20.32 km 2 /year during the periods 1986-1995, 1995-2000, 2000-2005 and 2005-2020, respectively. We developed an indicator of HQF consumption due to urban expansion, representing the ratio of HQF consumed to its proportion of overall farmland, and found its values were 2.21, 1.57, 1.99 and 1.10 for 1986-1995, 1995-2000, 2000-2005 and 2005-2020, respectively. Thus, although HQF has been overrepresented in the farmland consumed by Beijing's urbanization, this phenomenon has decreased over time. Centralized expansion has contributed greatly to consumption of HQF. Topography and distances to urban and water bodies determine the relative consumption of HQF in urbanization.

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“…The net changes in the carbon stock during land use category conversions were reflected as carbon emissions, and the emission speed tended to accelerate during the entire period ( One reason for such land use category change is that urban areas are rapidly expanding. To meet the increasing urban demands on water supplies, reservoirs have been continuously built or expanded (Lu et al, 2011). Another reason is that this area is experiencing a phase of rapid urbanization and industrialization.…”

Section: Results and Analysismentioning

confidence: 99%

Dynamics of wetlands and their effects on carbon emissions in China coastal region – Case study in Bohai Economic Rim

Gao

Zhao

et al. 2014

Ocean & Coastal Management

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Effects of urbanization and industrialization on agricultural land use in Shandong Peninsula of China

Cited by 67 publications

References 11 publications

Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China

Rule-based land use/land cover classification in coastal areas using seasonal remote sensing imagery: a case study from Lianyungang City, China

Urban expansion and its consumption of high-quality farmland in Beijing, China

Dynamics of wetlands and their effects on carbon emissions in China coastal region – Case study in Bohai Economic Rim

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