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Farm parcel delineation provides cadastral data that is important in developing and managing climate change policies. Specifically, farm parcel delineation informs applications in downstream governmental policies of land allocation,…

Image and Video Processing · Electrical Eng. & Systems 2020-04-21 Han Lin Aung , Burak Uzkent , Marshall Burke , David Lobell , Stefano Ermon

Many studies have recently explored the information from the satellite-remotely sensed data (SRSD) for estimating the crop production statistics. The value of this information depends on the aerial and spatial resolutions of SRSD. The SRSD…

Applications · Statistics 2019-05-16 Sumanta Kumar Das , Randhir Singh

Wildfire monitoring and prediction are essential for understanding wildfire behaviour. With extensive Earth observation data, these tasks can be integrated and enhanced through multi-task deep learning models. We present a comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Yu Zhao , Sebastian Gerard , Yifang Ban

Cropland maps are essential for remote sensing-based agricultural monitoring, providing timely insights without extensive field surveys. Machine learning enables large-scale mapping but depends on geo-referenced ground-truth data, which is…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Joaquin Gajardo , Michele Volpi , Daniel Onwude , Thijs Defraeye

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

Biodiversity is declining at an unprecedented rate, impacting ecosystem services necessary to ensure food, water, and human health and well-being. Understanding the distribution of species and their habitats is crucial for conservation…

The major driver of global warming has been identified as the anthropogenic release of greenhouse gas (GHG) emissions from industrial activities. The quantitative monitoring of these emissions is mandatory to fully understand their effect…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Michael Mommert , Mario Sigel , Marcel Neuhausler , Linus Scheibenreif , Damian Borth

Grazing shapes both agricultural production and biodiversity, yet scalable monitoring of where grazing occurs remains limited. We study seasonal grazing detection from Sentinel-2 L2A time series: for each polygon-defined field boundary,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Aleksis Pirinen , Delia Fano Yela , Smita Chakraborty , Erik Källman

One of the biggest environmental problems of our time is the increase in illegal landfills in forests, rivers, on river banks and other secluded places. In addition, waste in rivers causes damage not only locally, but also downstream, both…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Dávid Magyar , Máté Cserép , Zoltán Vincellér , Attila D. Molnár

This paper overviews two interdependent issues important for mining remote sensing data (e.g. images) obtained from atmospheric monitoring missions. The first issue relates the building new public datasets and benchmarks, which are hot…

Computer Vision and Pattern Recognition · Computer Science 2021-06-29 Chaabane Djeraba , Jérôme Riedi

The widespread use of Exogenous Organic Matter in agriculture necessitates monitoring to assess its effects on soil and crop health. This study evaluates optical Sentinel-2 satellite imagery for detecting digestate application, a practice…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Andreas Kalogeras , Dimitrios Bormpoudakis , Iason Tsardanidis , Dimitra A. Loka , Charalampos Kontoes

High-resolution satellite imagery available immediately after disaster events is crucial for response planning as it facilitates broad situational awareness of critical infrastructure status such as building damage, flooding, and…

Computer Vision and Pattern Recognition · Computer Science 2021-11-09 Danil Kuzin , Olga Isupova , Brooke D. Simmons , Steven Reece

An accurate and precise understanding of global irrigation usage is crucial for a variety of climate science efforts. Irrigation is highly energy-intensive, and as population growth continues at its current pace, increases in crop need and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-05 Weixin , Wu , Sonal Thakkar , Will Hawkins , Hossein Vahabi , Alberto Todeschini

Agricultural landscapes are quite complex, especially in the Global South where fields are smaller, and agricultural practices are more varied. In this paper we report on our progress in digitizing the agricultural landscape (natural and…

Accurate assessment of atmospheric nitrogen dioxide (NO$_2$) and sulfur dioxide (SO$_2$) is essential for understanding climate-air quality interactions, supporting environmental policy, and protecting public health. Traditional monitoring…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Prasanjit Dey , Soumyabrata Dev , Bianca Schoen-Phelan

New satellite sensors will soon make it possible to estimate field-level crop yields, showing a great potential for agricultural index insurance. This paper identifies an important threat to better insurance from these new technologies:…

Econometrics · Economics 2022-09-30 Matthieu Stigler , Apratim Dey , Andrew Hobbs , David Lobell

Consider a free-space settlement with a closed ecosystem. Controlling the habitat's carbon dioxide level is a nontrivial problem because the atmospheric carbon buffer per biosphere area is smaller than on Earth. Here we show that the…

Popular Physics · Physics 2019-08-13 Pekka Janhunen

The detection and characterization of illegal solid waste disposal sites are essential for environmental protection, particularly for mitigating pollution and health hazards. Improperly managed landfills contaminate soil and groundwater via…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Piero Fraternali , Luca Morandini , Sergio Luis Herrera González

Climate change has caused reductions in river runoffs and aquifer recharge resulting in an increasingly unsustainable crop water demand from reduced freshwater availability. Achieving food security while deploying water in a sustainable…

Computer Vision and Pattern Recognition · Computer Science 2021-08-13 Chitra Agastya , Sirak Ghebremusse , Ian Anderson , Colorado Reed , Hossein Vahabi , Alberto Todeschini

In recent decades, the causes and consequences of climate change have accelerated, affecting our planet on an unprecedented scale. This change is closely tied to the ways in which humans alter their surroundings. As our actions continue to…

Computer Vision and Pattern Recognition · Computer Science 2024-06-28 Burak Ekim , Michael Schmitt
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