Journal
REMOTE SENSING
Volume 3, Issue 8, Pages 1710-1723Publisher
MDPI
DOI: 10.3390/rs3081710
Keywords
urban structure types; object-based classification; land-use change; SPOT5; urban sprawl
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Funding
- priority program Megacities-Megachallenge: Informal Dynamics of Global Change [SPP 1233]
- German Research Foundation (Deutsche Forschungsgemeinschaft/DFG)
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Urban areas develop on formal and informal levels. Informal development is often highly dynamic, leading to a lag of spatial information about urban structure types. In this work, an object-based remote sensing approach will be presented to map the migrant housing urban structure type in the Pearl River Delta, China. SPOT5 data were utilized for the classification (auxiliary data, particularly up-to-date cadastral data, were not available). A hierarchically structured classification process was used to create (spectral) independence from single satellite scenes and to arrive at a transferrable classification process. Using the presented classification approach, an overall classification accuracy of migrant housing of 68.0% is attained.
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