Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization

A new approach for land cover classification and change analysis: Integrating backdating and an object-based method

“…These methods may be broadly classified into two categories: post-classification comparison and pre-classification change detection (Lu et al, 2004;Singh, 1989;Zhou, Troy, & Grove, 2008). The first approach generates the multi-temporal LULC maps independently, and then identifies and quantifies the changes by comparing the classification maps (Deng, Wang, Hong, & Qi, 2009;Ellis & Porter-Bolland, 2008;Yuan, Sawaya, Loeffelholz, & Bauer, 2005). Preclassification change detection techniques typically identify changes by comparing multi-temporal imagery directly, without classification.…”

Spatial differences and driving forces of land urbanization in China

“…Therefore, measurement of land urbanization is as important as population urbanization. The dynamic evaluation of land urbanization focuses mainly on measuring the quantity, speed and change of land-use structures Wang and Li, 2011;Deng et al, 2009;Xu et al, 2009;Tang, 2009;Feng and Chen, 2010;Zhang et al, 2010;Dong et al, 2011). However, most of the research is based on single or limited cases, which are unfavorable for inter-city comparisons.…”

“…This topic has drawn the attention of many researchers. At regional level, some of the significant themes and topics include: national macro land development strategy, fast social-economic development and rapid urbanization led to the large-scale growth of urban-rural construction land in the early 21st century (Liu et al, 2009); the growth of tertiary industry was the greatest engine for the expansion of urban construction land in China during the 1990s (Tan et al, 2004); population growth, economic development, consumption levels, technological progress, agricultural structure adjustment and intensive land use measures are the driving forces for the changes of provincial land use (Gan et al, 2004); population growth, fixed asset investment, economic growth respectively are the main driving forces for urban land expansion in different stages of development from 2003 to 2011 (Shu et al, 2013); restraint of natural conditions, adjustment of administrative divisions, economic development and population growth are the influential factors for expansion of urban land (Zhang et al, 2011); social, economic, political and spatial factors are the major drivers of spatiotemporal differences in urban land expansion in the Beijing-Tianjin-Hebei region during the 1990s (Tan et al, 2005); economic and population growth are the two major factors for the changes of urban land use in Jiangsu (Wang, 2009); and development of secondary industry is the core influence on the growth of construction land in Fujian (Wei and Chen, 2006). Research from urban case studies adds the following viewpoints for land urbanization: population growth, foreign capital investment and development of tertiary industry are the major external driving forces for the expansion of urban land in Shenzhen (Shi et al, 2000); natural environment, urban population growth, economic growth and transportation infrastructure are the main driving factors for the expansion of urban land in Changsha (Zhou and He, 2006); urban planning, market mechanisms, government development, private enterprise development, external capital investment and an excellent environment are the multi-element drivers for land expansion in Huludao (Xiu and Zhu, 2005); population growth and globalization are driving forces behind the rapid urbanization in Nanjing (Chen et al, 2014).…”

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

“…There has been an increasing interest in applying spatial metrics in analyzing land use dynamics and urban growth processes (Charles et al, 2005;Jat et al, 2008a,b;Deng et al, 2009). Remote sensing provides a spatially consistent coverage of large areas with a high spatial detail and a high temporal frequency.…”