New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data

作者：Taubenboeck H^*; Wiesner M; Felbier A; Marconcini M; Esch T; Dech S

来源：Applied Geography, 2014, 47: 137-153.

DOI：10.1016/j.apgeog.2013.12.002

• Mega-region
• Remote sensing
• Spatial metrics
• Spatial patterns
• Multi-temporal development
• Hong Kong-Shenzhen-Guangzhou
• Mega-city

Currently our world is facing a migration process of a huge dimension - from rural to urban areas. In 1975 37.7% of the global population were urban dwellers, 1990 already 43%, today little over 50%, and in 2050 the expected number is 67.2%. This great process shapes new spatial urban landscapes, in dimension and pattern. In this study we aim at analyzing the spatial evolution of a once polynuclei urban area to a mega-region in a 35 years time frame. Using multi-temporal and multi-source satellite data we classify urban footprints of a mega-region - the Hong Kong-Shenzhen-Guangzhou mega-region in Southern China - for the years 1975, 1990, 2000 and 2011. Based on this geospatial data set we aim at turning the qualitative and fuzzy definitions of mega-regions into a physical concept. Furthermore, we suggest a set of spatial features potentially characteristic for the evolution of mega-regions. In particular we apply and develop a multiude of spatial metrics at three spatial levels, namely the entire megaregion, the hinterlands between different cities and the cities themselves. The result is a novel spatial approach to capture, measure and analyze new shapes of urban landscapes.

• 出版日期2014-2