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The Amazon rainforest (ARF) is threatened by deforestation and climate change, which could trigger a regime shift to a savanna-like state. Previous work suggesting declining resilience in recent decades was based only on local resilience…

We introduce OpenEarthMap, a benchmark dataset, for global high-resolution land cover mapping. OpenEarthMap consists of 2.2 million segments of 5000 aerial and satellite images covering 97 regions from 44 countries across 6 continents, with…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 Junshi Xia , Naoto Yokoya , Bruno Adriano , Clifford Broni-Bediako

By 2050, it is predicted that there will be 9 billion people on the planet, which will call for more production, lower costs, and the preservation of natural resources. It is anticipated that atypical occurrences and climate change will…

Human-Computer Interaction · Computer Science 2024-01-02 Emmanuel Kojo Gyamfi , Zag ElSayed , Jess Kropczynski , Mustapha Awinsongya Yakubu , Nelly Elsayed

Satellite imagery has emerged as an important tool to analyse demographic, health, and development indicators. While various deep learning models have been built for these tasks, each is specific to a particular problem, with few standard…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Makkunda Sharma , Fan Yang , Duy-Nhat Vo , Esra Suel , Swapnil Mishra , Samir Bhatt , Oliver Fiala , William Rudgard , Seth Flaxman

Accurate quantification of forest coverage and combustible biomass (fuel load) is critical for wildfire risk assessment and ecosystem management. However, traditional methods relying on airborne LiDAR or field surveys are cost-prohibitive…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Quanyun Wu , Kyle Gao , Wentao Sun , Zhengsen Xu , Hudson Sun , Linlin Xu , Yuhao Chen , David A. Clausi , Jonathan Li

This paper presents a novel two-part pipeline for monitoring progress towards the UN Sustainable Development Goals (SDG's) related to Climate Action and Sustainable Cities and Communities. The pipeline consists of two main parts: the first…

Computers and Society · Computer Science 2023-12-19 Adam Horsler , Jake Baker , Pedro M. Baiz.

Methane (CH4) is a potent greenhouse gas, and its detection and quantification are crucial for mitigating the greenhouse effect. This study presents a comparative analysis of methane emissions observed using near-simultaneous observations…

Image and Video Processing · Electrical Eng. & Systems 2025-06-03 Alvise Ferrari , Giovanni Laneve , Raul Alejandro Carvajal Tellez , Valerio Pampanoni , Simone Saquella , Rocchina Guarini

We present techniques to measure crop heights using a 3D Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV). Knowing the height of plants is crucial to monitor their overall health and growth cycles,…

Robotics · Computer Science 2023-06-02 Harnaik Dhami , Kevin Yu , Tianshu Xu , Qian Zhu , Kshitiz Dhakal , James Friel , Song Li , Pratap Tokekar

Trees are key components of the terrestrial biosphere, playing vital roles in ecosystem function, climate regulation, and the bioeconomy. However, large-scale monitoring of individual trees remains limited by inadequate modelling. Available…

Computer Vision and Pattern Recognition · Computer Science 2025-09-01 Dimitri Gominski , Martin Brandt , Xiaoye Tong , Siyu Liu , Maurice Mugabowindekwe , Sizhuo Li , Florian Reiner , Andrew Davies , Rasmus Fensholt

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

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

Bitumen extraction for the production of synthetic crude oil in Canada's Athabasca Oil Sands industry has recently come under spotlight for being a significant source of greenhouse gas emission. A major cause of concern is methane, a…

Applications · Statistics 2025-11-07 Esha Saha , Oscar Wang , Amit K. Chakraborty , Pablo Venegas Garcia , Russell Milne , Hao Wang

We introduce a unique semantic segmentation dataset of 6,096 high-resolution aerial images capturing indigenous and invasive grass species in Bega Valley, New South Wales, Australia, designed to address the underrepresented domain of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-14 Sophia J. Abraham , Jin Huang , Brandon RichardWebster , Michael Milford , Jonathan D. Hauenstein , Walter Scheirer

Satellite remote sensing has been widely used in the last decades for agricultural applications, {both for assessing vegetation condition and for subsequent yield prediction.} Existing remote sensing-based methods to estimate gross primary…

Computer Vision and Pattern Recognition · Computer Science 2020-12-23 Aleksandra Wolanin , Gustau Camps-Valls , Luis Gómez-Chova , Gonzalo Mateo-García , Christiaan van der Tol , Yongguang Zhang , Luis Guanter

We use unmanned aerial drones to estimate wildlife density in southeastern Austria and compare these estimates to camera trap data. Traditional methods like capture-recapture, distance sampling, or camera traps are well-established but…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Stephanie Wohlfahrt , Christoph Praschl , Horst Leitner , Wolfram Jantsch , Julia Konic , Silvio Schueler , Andreas Stöckl , David C. Schedl

Conserving tropical forests is highly relevant socially and ecologically because of their critical role in the global ecosystem. However, the ongoing deforestation and degradation affect millions of hectares each year, necessitating…

Computer Vision and Pattern Recognition · Computer Science 2024-08-23 Hugo Resende , Eduardo B. Neto , Fabio A. M. Cappabianco , Alvaro L. Fazenda , Fabio A. Faria

Given the importance of forests and their role in maintaining the ecological balance, which directly affects the planet, the climate, and the life on this planet, this research presents the problem of forest fire monitoring using drones.…

Robotics · Computer Science 2023-05-19 Mahdi Jemmali , Loai Kayed B. Melhim , Wadii Boulila , Hajer Amdouni , Mafawez T. Alharbi

Object counting, whose aim is to estimate the number of objects from a given image, is an important and challenging computation task. Significant efforts have been devoted to addressing this problem and achieved great progress, yet counting…

Computer Vision and Pattern Recognition · Computer Science 2021-05-05 Guangshuai Gao , Qingjie Liu , Yunhong Wang

Improving irradiance forecasting is critical to further increase the share of solar in the energy mix. On a short time scale, fish-eye cameras on the ground are used to capture cloud displacements causing the local variability of the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-26 Quentin Paletta , Joan Lasenby

Accurate information on the distribution of vegetation species is used as a proxy for the health of an ecosystem, a currency of international environmental treaties, and a necessary planning tool for forest preservation and rehabilitation,…

Methodology · Statistics 2023-09-20 Henry Scharf , Jonathan Schierbaum , Hana Matsumoto , Tim Assal