Deriving fine-scale socioeconomic information of urban areas using very high-resolution satellite imagery
| العنوان: | Deriving fine-scale socioeconomic information of urban areas using very high-resolution satellite imagery |
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| المؤلفون: | Carlos Tavares-Corrêa, Silvania Avelar, Francisco J. Tapiador, Rainer Zah |
| المصدر: | International Journal of Remote Sensing. 32:6437-6456 |
| بيانات النشر: | Informa UK Limited, 2011. |
| سنة النشر: | 2011 |
| مصطلحات موضوعية: | Very high resolution, Computer science, Satellite data, Urban morphology, General Earth and Planetary Sciences, Entropy (information theory), High resolution, Satellite imagery, Spurious relationship, Socioeconomic status, Cartography, Remote sensing |
| الوصف: | This article presents a new approach to derive fine-scale socioeconomic information of urban areas using very high resolution satellite data. The rationale behind the method is to use high resolution satellite data, capable of resolving urban morphology details, to derive a classification of the image. Thus, it is assumed that there is a relationship between the socioeconomic profile and the urban morphology of an area in terms of availability of green areas, sport facilities, private swimming pools or pavement conditions. The method is tested using a case study of Lima, Peru. Using a sample of ground data, a neural network classifier was applied to a pre-classified image in which entropy had been used to mask extensive, non-built up areas that would otherwise have inserted spurious information into the classifier. The result shows a high correlation (0.70 R 2) when compared with validation data. The good performances also show that a physiographic satellite view of the city reflects the socioeconomic lay... |
| تدمد: | 1366-5901 0143-1161 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::582ecbd1c4bb52ddfe142f7dd1240e57 https://doi.org/10.1080/01431161.2010.512928 |
| رقم الأكسشن: | edsair.doi...........582ecbd1c4bb52ddfe142f7dd1240e57 |
| قاعدة البيانات: | OpenAIRE |
PDF full text from Publisher | تدمد: | 13665901 01431161 |
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