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Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. For example, quantifying population statistics is fundamental to 67 of the 231 United…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Adam Van Etten , Daniel Hogan , Jesus Martinez-Manso , Jacob Shermeyer , Nicholas Weir , Ryan Lewis

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 study proposes a novel approach based on the Ising model for analyzing socio-economic emerging patterns between municipalities by investigating the observed configuration of a network of selected territorial units which are classified…

Methodology · Statistics 2025-10-07 Pierpaolo Massoli

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

The U.S. Census Bureau provides an estimate of the true population as a supplement to the basic census numbers. This estimate is constructed from data in a post-censal survey. The overall procedure is referred to as dual system estimation.…

Applications · Statistics 2008-12-18 Lawrence Brown , Zhanyun Zhao

Many countries conduct a full census survey to report official population statistics. As no census survey ever achieves 100 per cent response rate, a post-enumeration survey (PES) is usually conducted and analysed to assess census coverage…

Satellite imagery is increasingly used to complement traditional data collection approaches such as surveys and censuses across scientific disciplines. However, we ask: Do all places on earth benefit equally from this new wealth of…

Computers and Society · Computer Science 2025-06-25 Vadim Musienko , Axel Jacquet , Ingmar Weber , Till Koebe

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 US Decennial Census provides valuable data for both research and policy purposes. Census data are subject to a variety of disclosure avoidance techniques prior to release in order to preserve respondent confidentiality. While many are…

Computers and Society · Computer Science 2025-10-02 Cynthia Dwork , Kristjan Greenewald , Manish Raghavan

Poverty maps derived from satellite imagery are increasingly used to inform high-stakes policy decisions, such as the allocation of humanitarian aid and the distribution of government resources. Such poverty maps are typically constructed…

Machine Learning · Computer Science 2023-05-04 Emily Aiken , Esther Rolf , Joshua Blumenstock

Synthetic indices are used in Economics to measure various aspects of monetary inequalities. These scalar indices take as input the distribution over a finite population, for example the population of a specific country. In this article we…

Applications · Statistics 2011-09-06 Eric Gautier

The need for rigorous and timely health and demographic summaries has provided the impetus for an explosion in geographic studies, with a common approach being the production of pixel-level maps, particularly in low and middle income…

Methodology · Statistics 2019-10-16 John Paige , Geir-Arne Fuglstad , Andrea Riebler , Jon Wakefield

In developing countries, building codes often are outdated or not enforced. As a result, a large portion of the housing stock is substandard and vulnerable to natural hazards and climate related events. Assessing housing quality is key to…

Machine Learning · Computer Science 2022-06-01 Chaofeng Wang , Sarah Elizabeth Antos , Jessica Grayson Gosling Goldsmith , Luis Miguel Triveno

Capturing the structure of a population and characterising contacts within the population are key to reliable projections of infectious disease. Two main elements of population structure -- contact heterogeneity and age -- have been…

Physics and Society · Physics 2025-03-17 Luke Murray Kearney , Emma L. Davis , Matt J. Keeling

Obtaining a dynamic population distribution is key to many decision-making processes such as urban planning, disaster management and most importantly helping the government to better allocate socio-technical supply. For the aspiration of…

Machine Learning · Computer Science 2022-11-11 Sugandha Doda , Yuanyuan Wang , Matthias Kahl , Eike Jens Hoffmann , Kim Ouan , Hannes Taubenböck , Xiao Xiang Zhu

Mussel platforms are big floating structures made of wood (size is normally about 20x20 meters or even a bit larger) that are used for aquaculture, id EST: growing mussels in appropriate marine waters. These structures are very typical in…

Image and Video Processing · Electrical Eng. & Systems 2024-08-05 Fernando Martin-Rodriguez , Fernando Isasi-de-Vicente , Monica Fernández-Barciela

Urbanization has been the dominant demographic trend in the entire world, during the last half century. Rural to urban migration, international migration, and the re-classification or expansion of existing city boundaries have been among…

Physics and Society · Physics 2013-12-19 Philippe Blanchard , Dimitri Volchenkov

Contact matrices are a commonly adopted data representation, used to develop compartmental models for epidemic spreading, accounting for the contact heterogeneities across age groups. Their estimation, however, is generally time and effort…

Many remote sensing applications employ masking of pixels in satellite imagery for subsequent measurements. For example, estimating water quality variables, such as Suspended Sediment Concentration (SSC) requires isolating pixels depicting…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Rangel Daroya , Luisa Vieira Lucchese , Travis Simmons , Punwath Prum , Tamlin Pavelsky , John Gardner , Colin J. Gleason , Subhransu Maji

Reducing global poverty is a key objective of the Sustainable Development Goals (SDGs). Achieving this requires high-frequency, granular data to capture neighborhood-level changes, particularly in data scarce regions such as low- and…

Machine Learning · Computer Science 2024-11-06 Mohammad Kakooei , Klaudia Solska , Adel Daoud