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Informal settlements are home to the most socially and economically vulnerable people on the planet. In order to deliver effective economic and social aid, non-government organizations (NGOs), such as the United Nations Children's Fund…

Since 2014, nearly 2 million Venezuelans have fled to Colombia to escape an economically devastated country during what is one of the largest humanitarian crises in modern history. Non-government organizations and local government units are…

Public health and habitat quality are crucial goals of urban planning. In recent years, the severe social and environmental impact of illegal waste dumping sites has made them one of the most serious problems faced by cities in the Global…

Machine Learning · Computer Science 2021-10-29 Maria Roberta Devesa , Antonio Vazquez Brust

We propose a generalizable framework for the population estimation of dense, informal settlements in low-income urban areas--so called 'slums'--using high-resolution satellite imagery. Precise population estimates are a crucial factor for…

Computers and Society · Computer Science 2020-09-18 Konstantin Klemmer , Godwin Yeboah , João Porto de Albuquerque , Stephen A Jarvis

Detecting and mapping informal settlements encompasses several of the United Nations sustainable development goals. This is because informal settlements are home to the most socially and economically vulnerable people on the planet. Thus,…

Detecting and mapping informal settlements encompasses several of the United Nations sustainable development goals. This is because informal settlements are home to the most socially and economically vulnerable people on the planet. Thus,…

Mapping informal settlements is crucial for addressing challenges related to urban planning, public health, and infrastructure in rapidly growing cities. Geospatial machine learning has emerged as a key tool for detecting and mapping these…

Machine Learning · Computer Science 2025-10-01 Thomas Hallopeau , Joris Guérin , Laurent Demagistri , Christovam Barcellos , Nadine Dessay

Identifying current and future informal regions within cities remains a crucial issue for policymakers and governments in developing countries. The delineation process of identifying such regions in cities requires a lot of resources. While…

Computers and Society · Computer Science 2018-08-21 Mohamed R. Ibrahim , Helena Titheridge , Tao Cheng , James Haworth

Knowledge of the spatial organisation of economic activity within a city is key to policy concerns. However, in developing cities with high levels of informality, this information is often unavailable. Recent progress in machine learning…

General Economics · Economics 2021-04-13 Daniel Straulino , Juan C. Saldarriaga , Jairo A. Gómez , Juan C. Duque , Neave O'Clery

High resolution datasets of population density which accurately map sparsely-distributed human populations do not exist at a global scale. Typically, population data is obtained using censuses and statistical modeling. More recently,…

Computer Vision and Pattern Recognition · Computer Science 2017-12-19 Tobias G. Tiecke , Xianming Liu , Amy Zhang , Andreas Gros , Nan Li , Gregory Yetman , Talip Kilic , Siobhan Murray , Brian Blankespoor , Espen B. Prydz , Hai-Anh H. Dang

The major Sustainable Development Goals (SDG) 2030, set by the United Nations Development Program (UNDP), include sustainable cities and communities, no poverty, and reduced inequalities. However, millions of people live in slums or…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Anjali Raj , Adway Mitra , Manjira Sinha

One billion people live in informal settlements worldwide. The complex and multilayered spaces that characterize this unplanned form of urbanization pose a challenge to traditional approaches to mapping and morphological analysis. This…

Computer Vision and Pattern Recognition · Computer Science 2021-05-10 Arianna Salazar Miranda , Guangyu Du , Claire Gorman , Fabio Duarte , Washington Fajardo , Carlo Ratti

Reliable and frequent population estimation is key for making policies around vaccination and planning infrastructure delivery. Since censuses lack the spatio-temporal resolution required for these tasks, census-independent approaches,…

Machine Learning · Computer Science 2021-04-27 Isaac Neal , Sohan Seth , Gary Watmough , Mamadou Saliou Diallo

Urban regions are complicated functional systems that are closely associated with and reshaped by human activities. The propagation of online geographic information-sharing platforms and mobile devices equipped with Global Positioning…

Computer Vision and Pattern Recognition · Computer Science 2021-03-23 Zhinan Qiao , Xiaohui Yuan

Ecologists use distance sampling to estimate the abundance of plants and animals while correcting for undetected individuals. By design, data collection is simplified by requiring only the distances from a transect to the detected…

Applications · Statistics 2020-06-01 Trevor J. Hefley , W. Alice Boyle , Narmadha M. Mohankumar

Artificial Intelligence has enabled the implementation of more accurate and efficient solutions to problems in various areas. In the agricultural sector, one of the main needs is to know at all times the extent of land occupied or not by…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Javier Caicedo , Pamela Acosta , Romel Pozo , Henry Guilcapi , Christian Mejia-Escobar

The Government of Mexico's social development agency, SEDESOL, is responsible for the administration of social services and has the mission of lifting Mexican families out of poverty. One key challenge they face is matching people who have…

Up-to-date, granular, and reliable quality of life data is crucial for humanitarian organizations to develop targeted interventions for vulnerable communities, especially in times of crisis. One such quality of life data is access to water,…

Computers and Society · Computer Science 2021-11-09 Niccolo Dejito , Ren Avell Flores , Rodolfo de Guzman , Isabelle Tingzon , Liliana Carvajal , Alberto Aroca , Carlos Delgado

Accurate and consistent mapping of urban and rural areas is crucial for sustainable development, spatial planning, and policy design. It is particularly important in simulating the complex interactions between human activities and natural…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Mohammad Kakooei , James Bailie , Markus B. Pettersson , Albin Söderberg , Albin Becevic , Adel Daoud

More than one billion people live in slums around the world. In some developing countries, slum residents make up for more than half of the population and lack reliable sanitation services, clean water, electricity, other basic services.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-21 Shishira R Maiya , Sudharshan Chandra Babu
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