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Measuring intra-urban poverty using land cover and texture metrics derived from remote sensing data

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Measuring intra-urban poverty using land cover and texture metrics derived from remote sensing data

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Duque, JC.; Patiño Quinchía, JE.; Ruiz Fernández, LÁ.; Pardo Pascual, JE. (2015). Measuring intra-urban poverty using land cover and texture metrics derived from remote sensing data. Landscape and Urban Planning. 135:11-21. doi:10.1016/j.landurbplan.2014.11.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63987

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Title: Measuring intra-urban poverty using land cover and texture metrics derived from remote sensing data
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
This paper contributes empirical evidence about the usefulness of remote sensing imagery to quantify the degree of poverty at the intra-urban scale. This concept is based on two premises: first, that the physical appearance ...[+]
Subjects: Intra-urban poverty , Slum index , Remote sensing , Regional science
Copyrigths: Reserva de todos los derechos
Source:
Landscape and Urban Planning. (issn: 0169-2046 )
DOI: 10.1016/j.landurbplan.2014.11.009
Publisher:
Elsevier
Publisher version: http://dx.doi.org/ 10.1016/j.landurbplan.2014.11.009
Thanks:
This research was made possible by funding from EAFIT University (EAFIT-342-000033; EAFIT-513-000084) and Medellin City Hall Enlaza-Mundos program. The authors thank the anonymous reviewers and Professor Gustavo Canavire ...[+]
Type: Artículo

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