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Related papers: Counting Cows: Tracking Illegal Cattle Ranching Fr…

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To limit global warming to pre-industrial levels, global governments, industry and academia are taking aggressive efforts to reduce carbon emissions. The evaluation of anthropogenic carbon dioxide (CO$_2$) emissions, however, depends on the…

Atmospheric and Oceanic Physics · Physics 2022-10-25 Zhengwen Zhang , Jinjin Gu , Junhua Zhao , Jianwei Huang , Haifeng Wu

Illegal wildlife poaching is driving the loss of biodiversity. To combat poaching, rangers patrol expansive protected areas for illegal poaching activity. However, rangers often cannot comprehensively search such large parks. Thus, the…

Machine Learning · Computer Science 2020-11-24 Rachel Guo , Lily Xu , Drew Cronin , Francis Okeke , Andrew Plumptre , Milind Tambe

Global environment monitoring is a task that requires additional attention in the contemporary rapid climate change environment. This includes monitoring the rate of deforestation and areas affected by flooding. Satellite imaging has…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Dmytro Filatov , Ghulam Nabi Ahmad Hassan Yar

Deforestation, as one of the challenging environmental problems in the world, has been recorded the most serious threat to environmental diversity and one of the main components of land-use change. In this paper, we investigate spatial…

Computers and Society · Computer Science 2018-12-27 Vahid Ahmadi

The increasing demand for commodities is leading to changes in land use worldwide. In the tropics, deforestation, which causes high carbon emissions and threatens biodiversity, is often linked to agricultural expansion. While the need for…

Computer Vision and Pattern Recognition · Computer Science 2021-07-16 Nico Lang , Konrad Schindler , Jan Dirk Wegner

Protecting and restoring forest ecosystems is critical for biodiversity conservation and carbon sequestration. Forest monitoring on a global scale is essential for prioritizing and assessing conservation efforts. Satellite-based remote…

Computer Vision and Pattern Recognition · Computer Science 2024-06-28 Luis Miguel Pazos-Outón , Cristina Nader Vasconcelos , Anton Raichuk , Anurag Arnab , Dan Morris , Maxim Neumann

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

Digitalization appears as a lever to enhance agriculture sustainability. However, existing works on digital agriculture's own sustainability remain scarce, disregarding the environmental effects of deploying digital devices on a…

Computers and Society · Computer Science 2024-09-27 Pierre La Rocca , Gaël Guennebaud , Aurélie Bugeau , Anne-Laure Ligozat

Monitoring tree crop expansion is vital for zero-deforestation policies like the European Union's Regulation on Deforestation-free Products (EUDR). However, these efforts are hindered by a lack of highresolution data distinguishing diverse…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Yuchang Jiang , Anton Raichuk , Xiaoye Tong , Vivien Sainte Fare Garnot , Daniel Ortiz-Gonzalo , Dan Morris , Konrad Schindler , Jan Dirk Wegner , Maxim Neumann

Insects represent half of all global biodiversity, yet many of the world's insects are disappearing, with severe implications for ecosystems and agriculture. Despite this crisis, data on insect diversity and abundance remain woefully…

Illegal gold mining in the Amazon rainforest causes deforestation, water contamination, and long-term ecosystem disruption, yet remains difficult to monitor at fine spatial scales. Satellite imagery supports large-scale observation, but…

Localizing and counting large ungulates -- hoofed mammals like cows and elk -- in very high-resolution satellite imagery is an important task for supporting ecological studies. Prior work has shown that this is feasible with deep learning…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Caleb Robinson , Anthony Ortiz , Lacey Hughey , Jared A. Stabach , Juan M. Lavista Ferres

Soil moisture is a critical variable for managing irrigation, improving crop yield, and understanding field-scale hydrology. Radars mounted on unmanned aerial vehicles (UAVs) offer a promising means to monitor soil moisture over large…

Signal Processing · Electrical Eng. & Systems 2026-04-13 Luke Jacobs , Ishfaq Aziz , Benhao Lu , Alireza Tabatabaeenejad , Mohamad Alipour , Elahe Soltanaghai

Much environmental enforcement in the United States has historically relied on either self-reported data or physical, resource-intensive, infrequent inspections. Advances in remote sensing and computer vision, however, have the potential to…

Computer Vision and Pattern Recognition · Computer Science 2021-08-03 Ben Chugg , Brandon Anderson , Seiji Eicher , Sandy Lee , Daniel E. Ho

Accurate pest population monitoring and tracking their dynamic changes are crucial for precision agriculture decision-making. A common limitation in existing vision-based automatic pest counting research is that models are typically…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Xumin Gao , Mark Stevens , Grzegorz Cielniak

This study investigates the correlation between dairy farm characteristics and methane concentrations as derived from satellite observations in Eastern Canada. Utilizing data from 11 dairy farms collected between January 2020 and December…

Machine Learning · Computer Science 2024-11-14 Hanqing Bi , Suresh Neethirajan

Camera traps enable the automatic collection of large quantities of image data. Ecologists use camera traps to monitor animal populations all over the world. In order to estimate the abundance of a species from camera trap data, ecologists…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Sara Beery , Arushi Agarwal , Elijah Cole , Vighnesh Birodkar

Quantifying exhaled CO2 from free-roaming cattle is both a direct indicator of rumen metabolic state and a prerequisite for farm-scale carbon accounting, yet no existing system can deliver continuous, spatially resolved measurements without…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Taminul Islam , Abdellah Lakhssassi , Toqi Tahamid Sarker , Mohamed Embaby , Khaled R Ahmed , Amer AbuGhazaleh

Small farms contribute to a large share of the productive land in developing countries. In regions such as sub-Saharan Africa, where 80\% of farms are small (under 2 ha in size), the task of mapping smallholder cropland is an important part…

Computer Vision and Pattern Recognition · Computer Science 2024-03-07 Jonathan Xu , Amna Elmustafa , Liya Weldegebriel , Emnet Negash , Richard Lee , Chenlin Meng , Stefano Ermon , David Lobell

The constant population growth brings the needing to make up for food also grows at the same rate. The livestock provides one-third of humans protein base as meat and milk. To improve cattles health and welfare the pastoral farming employs…

Computers and Society · Computer Science 2021-12-03 Miguel Angel Calvache , Valeria Cardona , Sebastian Tapias , Simon Marin , Mauricio Toro