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This paper introduces the first dataset of satellite images labeled with forage quality by on-the-ground experts and provides proof of concept for applying computer vision methods to index-based drought insurance. We also present the…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Andrew Hobbs , Stacey Svetlichnaya

Climate change is profoundly affecting nearly all aspects of life on earth, including human societies, economies and health. Various human activities are responsible for significant greenhouse gas emissions, including data centres and other…

Computers and Society · Computer Science 2020-12-18 Loïc Lannelongue , Jason Grealey , Michael Inouye

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

Climate change is a major driver of biodiversity loss, changing the geographic range and abundance of many species. However, there remain significant knowledge gaps about the distribution of species, due principally to the amount of effort…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Mélisande Teng , Amna Elmustafa , Benjamin Akera , Hugo Larochelle , David Rolnick

This paper presents COT-AD, a comprehensive Dataset designed to enhance cotton crop analysis through computer vision. Comprising over 25,000 images captured throughout the cotton growth cycle, with 5,000 annotated images, COT-AD includes…

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

The main objective of this study is to combine remote sensing and machine learning to detect soil moisture content. Growing population and food consumption has led to the need to improve agricultural yield and to reduce wastage of natural…

Image and Video Processing · Electrical Eng. & Systems 2019-07-09 Natalia Efremova , Dmitry Zausaev , Gleb Antipov

The management of natural environments, whether for conservation or production, requires a deep understanding of wildlife. The number, location, and behavior of wild animals are among the main subjects of study in ecology and wildlife…

Computer Vision and Pattern Recognition · Computer Science 2025-02-07 Federico Gonzalez , Leonel Viera , Rosina Soler , Lucila Chiarvetto Peralta , Matias Gel , Gimena Bustamante , Abril Montaldo , Brian Rigoni , Ignacio Perez

Accurate and consistent methods for counting trees based on remote sensing data are needed to support sustainable forest management, assess climate change mitigation strategies, and build trust in tree carbon credits. Two-dimensional remote…

Computer Vision and Pattern Recognition · Computer Science 2024-03-13 Lei Li , Tianfang Zhang , Zhongyu Jiang , Cheng-Yen Yang , Jenq-Neng Hwang , Stefan Oehmcke , Dimitri Pierre Johannes Gominski , Fabian Gieseke , Christian Igel

CO2 emissions from power plants, as significant super emitters, contribute substantially to global warming. Accurate quantification of these emissions is crucial for effective climate mitigation strategies. While satellite-based plume…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Dibyabha Deb , Kamal Das

Road transportation is one of the largest sectors of greenhouse gas (GHG) emissions affecting climate change. Tackling climate change as a global community will require new capabilities to measure and inventory road transport emissions.…

Computer Vision and Pattern Recognition · Computer Science 2021-03-17 Ryan Mukherjee , Derek Rollend , Gordon Christie , Armin Hadzic , Sally Matson , Anshu Saksena , Marisa Hughes

The characterization of cattle demographics and especially movements is an essential component in the modeling of dynamics in cattle systems, yet for cattle systems of the United States (US), this is missing. Through a large-scale maximum…

Applications · Statistics 2014-08-20 Phillip Schumm , Caterina Scoglio , H Morgan Scott

Global emissions from fossil fuel combustion and cement production were recorded in 2022, signaling a resurgence to pre-pandemic levels and providing an apodictic indication that emission peaks have not yet been achieved. Significant…

Neural and Evolutionary Computing · Computer Science 2025-01-30 Vasileios Alevizos , Nikitas Gerolimos , Sabrina Edralin , Clark Xu , Akebu Simasiku , Georgios Priniotakis , George Papakostas , Zongliang Yue

The development and application of modern technology is an essential basis for the efficient monitoring of species in natural habitats and landscapes to trace the development of ecosystems, species communities, and populations, and to…

Computer Vision and Pattern Recognition · Computer Science 2022-11-24 Timm Haucke , Hjalmar S. Kühl , Volker Steinhage

The continuous rise in CO2 emission into the environment is one of the most crucial issues facing the whole world. Many countries are making crucial decisions to control their carbon footprints to escape some of their catastrophic outcomes.…

Machine Learning · Computer Science 2022-12-01 Aman Desai , Shyamal Gandhi , Sachin Gupta , Manan Shah , Samir Patel

Remote sensing analysts continuously monitor the amount of pollutants in the atmosphere. They are usually performed via satellite images. However, these images suffer from low temporal and low spatial resolution. Therefore, observations…

Signal Processing · Electrical Eng. & Systems 2021-11-10 Nicholas Danesi , Mayank Jain , Yee Hui Lee , Soumyabrata Dev

For many countries like Russia, Canada, or the USA, a robust and detailed tree species inventory is essential to manage their forests sustainably. Since one can not apply unmanned aerial vehicle (UAV) imagery-based approaches to large-scale…

Computer Vision and Pattern Recognition · Computer Science 2021-11-09 Abduragim Shtanchaev , Artur Bille , Olga Sutyrina , Sara Elelimy

Insects are the most important global pollinator of crops and play a key role in maintaining the sustainability of natural ecosystems. Insect pollination monitoring and management are therefore essential for improving crop production and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Malika Nisal Ratnayake , Don Chathurika Amarathunga , Asaduz Zaman , Adrian G. Dyer , Alan Dorin

Contrails, short for condensation trails, are line-shaped ice clouds produced by aircraft engine exhaust when they fly through cold and humid air. They generate a greenhouse effect by absorbing or directing back to Earth approximately 33%…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Akshat Bhandari , Sriya Rallabandi , Sanchit Singhal , Aditya Kasliwal , Pratinav Seth

Maintaining farm sustainability through optimizing the agricultural management practices helps build more planet-friendly environment. The emerging satellite missions can acquire multi- and hyperspectral imagery which captures more detailed…

Computer Vision and Pattern Recognition · Computer Science 2022-08-05 Lukasz Tulczyjew , Michal Kawulok , Nicolas Longépé , Bertrand Le Saux , Jakub Nalepa