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Related papers: Mapping Vulnerable Populations with AI

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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

High-resolution human settlement maps provide detailed delineations of where people live and are vital for scientific and practical purposes, such as rapid disaster response, allocation of humanitarian resources, and international…

Social and Information Networks · Computer Science 2024-04-23 Vedran Sekara , Andrea Martini , Manuel Garcia-Herranz , Do-Hyung Kim

Buildings, as fundamental man-made structures in urban environments, serve as crucial indicators for understanding various city function zones. Rapid urbanization has raised an urgent need for efficiently surveying building footprints and…

Computer Vision and Pattern Recognition · Computer Science 2024-05-09 Zhuohong Li , Wei He , Jiepan Li , Hongyan Zhang

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

Locating populations in rural areas of developing countries has attracted the attention of humanitarian mapping projects since it is important to plan actions that affect vulnerable areas. Recent efforts have tackled this problem as the…

Computer Vision and Pattern Recognition · Computer Science 2020-09-18 John E. Vargas-Muñoz , Devis Tuia , Alexandre X. Falcão

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,…

Urban areas are not only one of the biggest contributors to climate change, but also they are one of the most vulnerable areas with high populations who would together experience the negative impacts. In this paper, we address some of the…

Machine Learning · Computer Science 2022-07-13 Beril Sirmacek , Ricardo Vinuesa

In the last several years, remote sensing technology has opened up the possibility of performing large scale building detection from satellite imagery. Our work is some of the first to create population density maps from building detection…

Computer Vision and Pattern Recognition · Computer Science 2017-07-28 Amy Zhang , Xianming Liu , Andreas Gros , Tobias Tiecke

Developing countries usually lack the proper governance means to generate and regularly update a national rooftop map. Using traditional photogrammetry and surveying methods to produce a building map at the federal level is costly and time…

Computer Vision and Pattern Recognition · Computer Science 2024-05-06 Hasan Nasrallah , Abed Ellatif Samhat , Cristiano Nattero , Ali J. Ghandour

In the globalized economic world, it has become important to understand the purpose behind infrastructural and construction initiatives occurring within developing regions of the earth. This is critical when the financing for such projects…

Computer Vision and Pattern Recognition · Computer Science 2020-09-02 Kyle McCullough , Andrew Feng , Meida Chen , Ryan McAlinden

Building coverage statistics provide crucial insights into the urbanization, infrastructure, and poverty level of a region, facilitating efforts towards alleviating poverty, building sustainable cities, and allocating infrastructure…

Computer Vision and Pattern Recognition · Computer Science 2023-01-06 Enci Liu , Chenlin Meng , Matthew Kolodner , Eun Jee Sung , Sihang Chen , Marshall Burke , David Lobell , Stefano Ermon

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…

There is a lack of data on the location, condition, and accessibility of sidewalks across the world, which not only impacts where and how people travel but also fundamentally limits interactive mapping tools and urban analytics. In this…

Computer Vision and Pattern Recognition · Computer Science 2022-08-23 Maryam Hosseini , Mikey Saugstad , Fabio Miranda , Andres Sevtsuk , Claudio T. Silva , Jon E. Froehlich

Determining the poverty levels of various regions throughout the world is crucial in identifying interventions for poverty reduction initiatives and directing resources fairly. However, reliable data on global economic livelihoods is hard…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Varun Chitturi , Zaid Nabulsi

Building footprints provide a useful proxy for a great many humanitarian applications. For example, building footprints are useful for high fidelity population estimates, and quantifying population statistics is fundamental to ~1/4 of the…

Computer Vision and Pattern Recognition · Computer Science 2021-05-24 Adam Van Etten , Daniel Hogan

In all types of disasters, from earthquakes to armed conflicts, aid workers need accurate and timely data such as damage to buildings and population displacement to mount an effective response. Remote sensing provides this data at an…

Computer Vision and Pattern Recognition · Computer Science 2019-10-16 Joseph Z. Xu , Wenhan Lu , Zebo Li , Pranav Khaitan , Valeriya Zaytseva

In recent years, an ever-increasing number of remote satellites are orbiting the Earth which streams vast amount of visual data to support a wide range of civil, public and military applications. One of the key information obtained from…

Computer Vision and Pattern Recognition · Computer Science 2020-06-24 Kang Zhao , Muhammad Kamran , Gunho Sohn

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,…

This paper examines the recent advances and applications of AI in human geography especially the use of machine (deep) learning, including place representation and modeling, spatial analysis and predictive mapping, and urban planning and…

Artificial Intelligence · Computer Science 2023-12-15 Song Gao

Roads are among the most essential components of any country's infrastructure. By facilitating the movement and exchange of people, ideas, and goods, they support economic and cultural activity both within and across local and international…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 John Kamalu , Benjamin Choi
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