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Related papers: Mapping Informal Settlements in Developing Countri…

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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,…

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…

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

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

The UN-Habitat estimates that over one billion people live in slums around the world. However, state-of-the-art techniques to detect the location of slum areas employ high-resolution satellite imagery, which is costly to obtain and process.…

Computer Vision and Pattern Recognition · Computer Science 2021-06-23 Agatha C. H. de Mattos , Gavin McArdle , Michela Bertolotto

The combination of high-resolution satellite imagery and machine learning have proven useful in many sustainability-related tasks, including poverty prediction, infrastructure measurement, and forest monitoring. However, the accuracy…

Computer Vision and Pattern Recognition · Computer Science 2021-01-06 Kumar Ayush , Burak Uzkent , Kumar Tanmay , Marshall Burke , David Lobell , Stefano Ermon

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…

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

In many rural areas of low- and middle-income countries, weekly gatherings of buyers and sellers are the most tangible manifestation of the market economy. Knowing these markets' whereabouts and activity over time could provide insights in…

General Economics · Economics 2026-01-12 Tillmann von Carnap , Reza M. Asiyabi , Paul Dingus , Anna Tompsett

Humanitarian actions require accurate information to efficiently delegate support operations. Such information can be maps of building footprints, building functions, and population densities. While the access to this information is…

Computer Vision and Pattern Recognition · Computer Science 2021-07-30 Benjamin Kellenberger , John E. Vargas-Muñoz , Devis Tuia , Rodrigo C. Daudt , Konrad Schindler , Thao T-T Whelan , Brenda Ayo , Ferda Ofli , Muhammad Imran

Improving global school connectivity is critical for ensuring inclusive and equitable quality education. To reliably estimate the cost of connecting schools, governments and connectivity providers require complete and accurate school…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Isabelle Tingzon , Utku Can Ozturk , Ivan Dotu

Sustainable development is an imperative worldwide but metrics and data on poverty and quality of life have remained too coarse and abstract to characterize challenges adequately and guide practical progress. Nowhere is this challenge…

Physics and Society · Physics 2023-08-01 Luis M. A Bettencourt , Nicholas Marchio

Human settlements are the cause and consequence of most environmental and societal changes on Earth; however, their location and extent is still under debate. We provide here a new 10m resolution (0.32 arc sec) global map of human…

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

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

Accurate and comprehensive measurements of a range of sustainable development outcomes are fundamental inputs into both research and policy. We synthesize the growing literature that uses satellite imagery to understand these outcomes, with…

Computers and Society · Computer Science 2020-10-15 Marshall Burke , Anne Driscoll , David B. Lobell , Stefano Ermon

Detailed population maps play an important role in diverse fields ranging from humanitarian action to urban planning. Generating such maps in a timely and scalable manner presents a challenge, especially in data-scarce regions. To address…

Computer Vision and Pattern Recognition · Computer Science 2024-08-23 Nando Metzger , Rodrigo Caye Daudt , Devis Tuia , Konrad Schindler

Obtaining detailed and reliable data about local economic livelihoods in developing countries is expensive, and data are consequently scarce. Previous work has shown that it is possible to measure local-level economic livelihoods using…

Machine Learning · Statistics 2017-11-13 Anthony Perez , Christopher Yeh , George Azzari , Marshall Burke , David Lobell , Stefano Ermon

Satellite-based slum segmentation holds significant promise in generating global estimates of urban poverty. However, the morphological heterogeneity of informal settlements presents a major challenge, hindering the ability of models…

Computer Vision and Pattern Recognition · Computer Science 2025-11-14 Sumin Lee , Sungwon Park , Jeasurk Yang , Jihee Kim , Meeyoung Cha

Millions of people worldwide are absent from their country's census. Accurate, current, and granular population metrics are critical to improving government allocation of resources, to measuring disease control, to responding to natural…

Computer Vision and Pattern Recognition · Computer Science 2019-05-08 Wenjie Hu , Jay Harshadbhai Patel , Zoe-Alanah Robert , Paul Novosad , Samuel Asher , Zhongyi Tang , Marshall Burke , David Lobell , Stefano Ermon
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