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Waterways shape earth system processes and human societies, and a better understanding of their distribution can assist in a range of applications from earth system modeling to human development and disaster response. Most efforts to date…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Matthew Pierson , Zia Mehrabi

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

Road networks are among the most essential components of a country's infrastructure. By facilitating the movement and exchange of goods, people, and ideas, they support economic and cultural activity both within and across borders.…

Machine Learning · Computer Science 2020-12-02 Benjamin Choi , John Kamalu

More than half of the world's roads lack adequate street addressing systems. Lack of addresses is even more visible in daily lives of people in developing countries. We would like to object to the assumption that having an address is a…

Computer Vision and Pattern Recognition · Computer Science 2018-11-20 Ilke Demir , Ramesh Raskar

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

The UN Sustainable Development Goals allude to the importance of infrastructure quality in three of its seventeen goals. However, monitoring infrastructure quality in developing regions remains prohibitively expensive and impedes efforts to…

Computers and Society · Computer Science 2018-11-02 Barak Oshri , Annie Hu , Peter Adelson , Xiao Chen , Pascaline Dupas , Jeremy Weinstein , Marshall Burke , David Lobell , Stefano Ermon

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

Reliable data about the stock of physical capital and infrastructure in developing countries is typically very scarce. This is particular a problem for data at the subnational level where existing data is often outdated, not consistently…

General Economics · Economics 2020-09-14 Klaus Ackermann , Alexey Chernikov , Nandini Anantharama , Miethy Zaman , Paul A Raschky

Prediction of dynamic environmental variables in unmonitored sites remains a long-standing challenge for water resources science. The majority of the world's freshwater resources have inadequate monitoring of critical environmental…

Machine Learning · Computer Science 2025-01-29 Jared D. Willard , Charuleka Varadharajan , Xiaowei Jia , Vipin Kumar

A National Agenda for Intelligent Infrastructure is not complete without explicit consideration of the needs of rural communities. While the American population has urbanized, the United States depends on rural communities for agriculture,…

Computers and Society · Computer Science 2017-05-08 Ellen Zegura , Beki Grinter , Elizabeth Belding , Klara Nahrstedt

Resilient road infrastructure is a cornerstone of the UN Sustainable Development Goals. Yet a primary indicator of network functionality and resilience is critically lacking: a comprehensive global baseline of road surface information.…

Hydraulic geometry parameters describing river hydrogeomorphic is important for flood forecasting. Although well-established, power-law hydraulic geometry curves have been widely used to understand riverine systems and mapping flooding…

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

Predicting flood for any location at times of extreme storms is a longstanding problem that has utmost importance in emergency management. Conventional methods that aim to predict water levels in streams use advanced hydrological models…

Machine Learning · Computer Science 2019-06-25 Muhammed Sit , Ibrahim Demir

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

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

Accurate crop type maps are an essential source of information for monitoring yield progress at scale, projecting global crop production, and planning effective policies. To date, however, crop type maps remain challenging to create in low…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Jordi Laguarta Soler , Thomas Friedel , Sherrie Wang

Accurate and scalable hydrologic models are essential building blocks of several important applications, from water resource management to timely flood warnings. However, as the climate changes, precipitation and rainfall-runoff pattern…

Machine Learning · Computer Science 2020-07-02 Zach Moshe , Asher Metzger , Gal Elidan , Frederik Kratzert , Sella Nevo , Ran El-Yaniv

Subsurface tile drainage pipes provide agronomic, economic and environmental benefits. By lowering the water table of wet soils, they improve the aeration of plant roots and ultimately increase the productivity of farmland. They do however…

Computer Vision and Pattern Recognition · Computer Science 2022-11-02 Tom-Lukas Breitkopf , Leonard W. Hackel , Mahdyar Ravanbakhsh , Anne-Karin Cooke , Sandra Willkommen , Stefan Broda , Begüm Demir

Urban socioeconomic modeling has predominantly concentrated on extensive location and neighborhood-based features, relying on the localized population footprint. However, networks in urban systems are common, and many urban modeling methods…

Machine Learning · Computer Science 2025-07-08 Devashish Khulbe , Alexander Belyi , Stanislav Sobolevsky
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