Quantifying slumness with remote sensing data

The presence of slums in a city is an indicator of poverty and its proper delimitation is a matter of interest for researchers and policy makers. Socio-economic data from surveys and censuses are the primary source of information to identify and quantify slumness within a city or a town. One problem...

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Autores:
Duque, Juan C.
Patino, Jorge E.
Ruiz, Luis A.
Pardo-Pascual, Josep E.
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/1050
Acceso en línea:
http://hdl.handle.net/10784/1050
Palabra clave:
Regional Science
Remote Sensing
Slum
GEOBIA
Rights
License
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