Wiesner, Michael and Taubenböck, Hannes (2014) It’s not big, it’s large: Mapping and characterizing urban landscapes of a different magnitude based on EO-data. REAL CORP 2014 – PLAN IT SMART! Clever Solutions for Smart Cities. Proceedings of 19th International Conference on Urban Planning, Regional Development and Information Society. pp. 319-328.
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Text (It’s not big, it’s large: Mapping and characterizing urban landscapes of a different magnitude based on EO-data)
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Abstract
The United Nation’s “World Urbanization Prospects” numeralise a migration process of a huge dimension – from rural to urban areas. While in 1975 only 37.7% of the world’s global population were urban dwellers, in 1990 already 43.0% and today little over 50% of all earth-dwellers are living in urban areas. For the year 2050 the expected number is even 67.2% (UN, 2011). This recent and prospective urbanization trend leads to new spatial dimensions of urban landscapes. One new trend is the spatial evolution of once polynuclei urban areas to so-called ‘mega-regions’. Because in literature clear definitions for the term ‘mega-region’ are missing or at least fuzzy and only qualitative we aim to derive quantitative physical spatial characteristics possibly defining mega-regions. For this purpose we use multi-temporal and multi-source satellite data to classify urbanized areas for an exemplary mega-region – the Hong Kong-Shenzhen-Guangzhou mega-region in Southern China – for the years 1975, 1990, 2000 and 2011. Furthermore, we suggest a set of spatial features potentially characteristic for the evolution of mega-regions. In particular we apply a multitude of spatial metrics at a defined spatial unit for the entire mega-region. The result is a novel spatial approach to capture, measure and analyze new dimensions and shapes of urban landscapes.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Mega-regions, multi-temporal development, remote sensing, spatial metrics, spatial patterns |
| Subjects: | G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics |
| Depositing User: | REAL CORP Administrator |
| Date Deposited: | 28 Jul 2016 10:31 |
| Last Modified: | 28 Jul 2016 10:31 |
| URI: | http://repository.corp.at/id/eprint/310 |
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