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Effective water resource management is crucial in agricultural regions like northeastern Thailand, where limited water retention in sandy soils poses significant challenges. In response to this issue, the Aerial Image Water Resource (AIWR)…

Computer Vision and Pattern Recognition · Computer Science 2024-11-07 Sangdaow Noppitak , Emmanuel Okafor , Olarik Surinta

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 estimation of the biomass of roadside grasses plays a significant role in applications such as fire-prone region identification. Current solutions heavily depend on field surveys, remote sensing measurements and image processing…

Computer Vision and Pattern Recognition · Computer Science 2018-02-22 Ligang Zhang , Brijesh Verma , David Stockwell , Sujan Chowdhury

Monitoring and understanding forest dynamics is essential for environmental conservation and management. This is why the Swiss National Forest Inventory (NFI) provides countrywide vegetation height maps at a spatial resolution of 0.5 m. Its…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Yuchang Jiang , Marius Rüetschi , Vivien Sainte Fare Garnot , Mauro Marty , Konrad Schindler , Christian Ginzler , Jan D. Wegner

In recent years, the rapid development of remote sensing, Unmanned Aerial Vehicles, and IoT technologies has led to an explosive growth in spatio-temporal forest and grassland data, which are increasingly multimodal, heterogeneous, and…

Systems and Control · Electrical Eng. & Systems 2025-06-24 Xuan Ouyang , Xinwen Yu , Yan Chen , Guang Deng , Xuanxin Liu

Accurate identification of crop and weed species is critical for precision agriculture and sustainable farming. However, it remains a challenging task due to a variety of factors -- a high degree of visual similarity among species,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Naitik Jain , Amogh Joshi , Mason Earles

Undocumented species represent one of the largest hurdles for conservation efforts due to the uncertainty they introduce into conservation planning. Until the distribution of earth's biodiversity is better understood, substantial conjecture…

Populations and Evolution · Quantitative Biology 2023-08-21 Sky Button , Amaël Borzée

Crop type maps are critical for tracking agricultural land use and estimating crop production. Remote sensing has proven an efficient and reliable tool for creating these maps in regions with abundant ground labels for model training, yet…

Applications · Statistics 2022-12-20 Stefania Di Tommaso , Sherrie Wang , Vivek Vajipey , Noel Gorelick , Rob Strey , David B. Lobell

Detection of wheat heads is an important task allowing to estimate pertinent traits including head population density and head characteristics such as sanitary state, size, maturity stage and the presence of awns. Several studies developed…

Computer Vision and Pattern Recognition · Computer Science 2020-07-01 E. David , S. Madec , P. Sadeghi-Tehran , H. Aasen , B. Zheng , S. Liu , N. Kirchgessner , G. Ishikawa , K. Nagasawa , M. A. Badhon , C. Pozniak , B. de Solan , A. Hund , S. C. Chapman , F. Baret , I. Stavness , W. Guo

The innovative application of precise geospatial vegetation forecasting holds immense potential across diverse sectors, including agriculture, forestry, humanitarian aid, and carbon accounting. To leverage the vast availability of satellite…

Computer Vision and Pattern Recognition · Computer Science 2024-03-08 Vitus Benson , Claire Robin , Christian Requena-Mesa , Lazaro Alonso , Nuno Carvalhais , José Cortés , Zhihan Gao , Nora Linscheid , Mélanie Weynants , Markus Reichstein

Accurate tree segmentation is a key step in extracting individual tree metrics from forest laser scans, and is essential to understanding ecosystem functions in carbon cycling and beyond. Over the past decade, tree segmentation algorithms…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Yihang She , Andrew Blake , David Coomes , Srinivasan Keshav

Surficial geologic (SG) maps are essential for understanding surface processes and supporting infrastructure planning, but current workflows are labor-intensive and difficult to scale. We introduce EarthScape, an AI-ready multimodal dataset…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Matthew Massey , Nusrat Munia , Abdullah-Al-Zubaer Imran

Forests play a crucial role in Earth's system processes and provide a suite of social and economic ecosystem services, but are significantly impacted by human activities, leading to a pronounced disruption of the equilibrium within…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Arthur Ouaknine , Teja Kattenborn , Etienne Laliberté , David Rolnick

Effective management of agricultural landscapes is critical for meeting global biodiversity targets, but efforts are hampered by the absence of detailed, large-scale ecological maps. To address this, we introduce Farmscapes, the first…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Michelangelo Conserva , Alex Wilson , Charlotte Stanton , Vishal Batchu , Varun Gulshan

Insects comprise millions of species, many experiencing severe population declines under environmental and habitat changes. High-throughput approaches are crucial for accelerating our understanding of insect diversity, with DNA barcoding…

Understanding historical forest dynamics, specifically changes in forest biomass and carbon stocks, has become critical for assessing current forest climate benefits and projecting future benefits under various policy, regulatory, and…

Applications · Statistics 2023-08-29 Lucas K. Johnson , Michael J. Mahoney , Madeleine L. Desrochers , Colin M. Beier

Hedges and other linear woody features provide valuable ecosystem services, particularly within intensively managed agricultural landscapes. They are key elements for climate adaptation and biodiversity amongst others not only due to a…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Thorsten Hoeser , Verena Huber-Garcia , Sarah Asam , Ursula Gessner , Claudia Kuenzer

Habitats integrate the abiotic conditions, vegetation composition and structure that support biodiversity and sustain nature's contributions to people. Most habitats face mounting pressures from human activities, which requires accurate,…

Fueled by the soaring popularity of large language and foundation models, the accelerated growth of artificial intelligence (AI) models' enormous environmental footprint has come under increased scrutiny. While many approaches have been…

Artificial Intelligence · Computer Science 2024-05-03 Pengfei Li , Jianyi Yang , Adam Wierman , Shaolei Ren

The Global Ecosystem Dynamics Investigation (GEDI) is a spaceborne lidar instrument that collects near-global measurements of forest structure. While expansive in scope, GEDI samples are spatially sparse and cover a small fraction of the…

Applications · Statistics 2024-01-04 Paul B. May , Andrew O. Finley , Ralph O. Dubayah
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