Evaluating Multi-Sensor Nighttime Earth Observation Data for Identification of Mixed vs. Residential Use in Urban Areas
| Autor: | José Antonio León Torres, Christoph Aubrecht |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Earth observation
VIIRS 010504 meteorology & atmospheric sciences Urban agglomeration Cadastre Science urban areas 0211 other engineering and technologies urbanization 02 engineering and technology spatial economics 01 natural sciences Geospatial predictive modeling Urbanization residential use CDRP DMSP 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing geography geography.geographical_feature_category Land use business.industry geospatial modeling Environmental resource management global spatial data human activity top-down modeling nighttime lights mixed use Residential area Light intensity General Earth and Planetary Sciences Environmental science business |
| Zdroj: | Remote Sensing, Vol 8, Iss 2, p 114 (2016) Remote Sensing; Volume 8; Issue 2; Pages: 114 |
| ISSN: | 2072-4292 |
| Popis: | This paper introduces a novel top-down approach to geospatially identify and distinguish areas of mixed use from predominantly residential areas within urban agglomerations. Under the framework of the World Bank’s Central American Country Disaster Risk Profiles (CDRP) initiative, a disaggregated property stock exposure model has been developed as one of the key elements for disaster risk and loss estimation. Global spatial datasets are therefore used consistently to ensure wide-scale applicability and transferability. Residential and mixed use areas need to be identified in order to spatially link accordingly compiled property stock information. In the presented study, multi-sensor nighttime Earth Observation data and derivative products are evaluated as proxies to identify areas of peak human activity. Intense artificial night lighting in that context is associated with a high likelihood of commercial and/or industrial presence. Areas of low light intensity, in turn, can be considered more likely residential. Iterative intensity thresholding is tested for Cuenca City, Ecuador, in order to best match a given reference situation based on cadastral land use data. The results and findings are considered highly relevant for the CDRP initiative, but more generally underline the relevance of remote sensing data for top-down modeling approaches at a wide spatial scale. |
| Databáze: | OpenAIRE |
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