A critical review of high and very high-resolution remote sensing approaches for detecting and mapping slums: Trends, challenges and emerging opportunities

R Mahabir, A Croitoru, AT Crooks, P Agouris… - Urban Science, 2018 - mdpi.com
Slums are a global urban challenge, with less developed countries being particularly
impacted. To adequately detect and map them, data is needed on their location, spatial …

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

JC Duque, JE Patino, LA Ruiz… - Landscape and Urban …, 2015 - Elsevier
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 …

Exploring the potential of machine learning for automatic slum identification from VHR imagery

JC Duque, JE Patino, A Betancourt - Remote Sensing, 2017 - mdpi.com
Slum identification in urban settlements is a crucial step in the process of formulation of pro-
poor policies. However, the use of conventional methods for slum detection such as field …

Identifying a slums' degree of deprivation from VHR images using convolutional neural networks

A Ajami, M Kuffer, C Persello, K Pfeffer - Remote Sensing, 2019 - mdpi.com
In the cities of the Global South, slum settlements are growing in size and number, but their
locations and characteristics are often missing in official statistics and maps. Although …

Using remote sensing to assess the relationship between crime and the urban layout

JE Patino, JC Duque, JE Pardo-Pascual, LA Ruiz - Applied Geography, 2014 - Elsevier
The link between place and crime is at the base of social ecology theories of crime that focus
in the relationship of the characteristics of geographical areas and crime rates. The broken …

Identifying urban poverty using high-resolution satellite imagery and machine learning approaches: Implications for housing inequality

G Li, Z Cai, Y Qian, F Chen - Land, 2021 - mdpi.com
Enriching Asian perspectives on the rapid identification of urban poverty and its implications
for housing inequality, this paper contributes empirical evidence about the utility of image …

Identifying precarious settlements and urban fabric typologies based on GEOBIA and Data mining in Brazilian Amazon Cities

BD dos Santos, CMD de Pinho, GET Oliveira… - Remote Sensing, 2022 - mdpi.com
Although 70% of the Amazon population lives in urban areas, studies on the urban Amazon
are scarce. Much of the urban Amazon population lives in precarious settlements. The …

S-maup: Statistical test to measure the sensitivity to the modifiable areal unit problem

JC Duque, H Laniado, A Polo - PloS one, 2018 - journals.plos.org
This work presents a nonparametric statistical test, S-maup, to measure the sensitivity of a
spatially intensive variable to the effects of the Modifiable Areal Unit Problem (MAUP). To the …

An overview of urbanization in Ecuador under functional urban area definition

M Obaco, JP Díaz-Sánchez - Region, 2018 - econstor.eu
This paper explores the urbanization process under Functional Urban Areas (FUAs)
definition considering Ecuador as case of study. Analyzing data from 1950 to 2010, we have …

On the association between housing deprivation and urban size: Evidence from South Asia

M Obaco, N Pontarollo, RM Muñoz, JP Díaz-Sánchez - World Development, 2022 - Elsevier
Housing is a basic human need; however, in recent decades slums have become the face of
urbanization in developing economies. Urbanization drives economic growth, playing an …