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Global climate change has had a drastic impact on our environment. Previous study showed that pest disaster occured from global climate change may cause a tremendous number of trees died and they inevitably became a factor of forest fire.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-19 Chia-Yen Chiang , Chloe Barnes , Plamen Angelov , Richard Jiang

Mapping standing dead trees is critical for assessing forest health, monitoring biodiversity, and mitigating wildfire risks, for which aerial imagery has proven useful. However, dense canopy structures, spectral overlaps between living and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-06 Anis Ur Rahman , Einari Heinaro , Mete Ahishali , Samuli Junttila

Knowledge of tree species distribution is fundamental to managing forests. New deep learning approaches promise significant accuracy gains for forest mapping, and are becoming a critical tool for mapping multiple tree species at scale. To…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Charles Gaydon , Floryne Roche

Mapping standing dead trees is crucial for acquiring information on the effects of climate change on forests and forest biodiversity. However, leveraging high-quality aerial imagery for dead tree segmentation poses challenges due to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Mete Ahishali , Anis Ur Rahman , Einari Heinaro , Aysen Degerli , Samuli Junttila

Tree perception is an essential building block toward autonomous forestry operations. Current developments generally consider input data from lidar sensors to solve forest navigation, tree detection and diameter estimation problems. Whereas…

Computer Vision and Pattern Recognition · Computer Science 2022-11-01 Vincent Grondin , Jean-Michel Fortin , François Pomerleau , Philippe Giguère

The stability and ability of an ecosystem to withstand climate change is directly linked to its biodiversity. Dead trees are a key indicator of overall forest health, housing one-third of forest ecosystem biodiversity, and constitute 8%of…

Computer Vision and Pattern Recognition · Computer Science 2021-12-07 Jacquelyn A. Shelton , Przemyslaw Polewski , Wei Yao , Marco Heurich

Reliable large-scale data on the state of forests is crucial for monitoring ecosystem health, carbon stock, and the impact of climate change. Current knowledge of tree species distribution relies heavily on manual data collection in the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-09 Hongjin Lin , Matthew Nazari , Derek Zheng

Forest biomass is a key influence for future climate, and the world urgently needs highly scalable financing schemes, such as carbon offsetting certifications, to protect and restore forests. Current manual forest carbon stock inventory…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Gyri Reiersen , David Dao , Björn Lütjens , Konstantin Klemmer , Kenza Amara , Attila Steinegger , Ce Zhang , Xiaoxiang Zhu

Accurately quantifying tree cover is an important metric for ecosystem monitoring and for assessing progress in restored sites. Recent works have shown that deep learning-based segmentation algorithms are capable of accurately mapping trees…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Josh Veitch-Michaelis , Andrew Cottam , Daniella Schweizer , Eben N. Broadbent , David Dao , Ce Zhang , Angelica Almeyda Zambrano , Simeon Max

Developing accurate and reliable models for forest types mapping is critical to support efforts for halting deforestation and for biodiversity conservation (such as European Union Deforestation Regulation (EUDR)). This work introduces…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Yuchang Jiang , Maxim Neumann

Monitoring and managing Earth's forests in an informed manner is an important requirement for addressing challenges like biodiversity loss and climate change. While traditional in situ or aerial campaigns for forest assessments provide…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Alexander Becker , Stefania Russo , Stefano Puliti , Nico Lang , Konrad Schindler , Jan Dirk Wegner

Forest carbon offsets are increasingly popular and can play a significant role in financing climate mitigation, forest conservation, and reforestation. Measuring how much carbon is stored in forests is, however, still largely done via…

Computer Vision and Pattern Recognition · Computer Science 2021-08-20 Gyri Reiersen , David Dao , Björn Lütjens , Konstantin Klemmer , Xiaoxiang Zhu , Ce Zhang

Humans use UAVs to monitor changes in forest environments since they are lightweight and provide a large variety of surveillance data. However, their information does not present enough details for understanding the scene which is needed to…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Bianca-Cerasela-Zelia Blaga , Sergiu Nedevschi

The fine grained classification of street trees is a crucial task for urban planning, streetscape management, and the assessment of urban ecosystem services. However, progress in this field has been hindered by the lack of large scale,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Jiapeng Li , Yingjing Huang , Fan Zhang , Yu liu

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

Climate crisis and correlating prolonged, more intense periods of drought threaten tree health in cities and forests. In consequence, arborists and foresters suffer from increasing workloads and, in the best case, a consistent but often…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Jonas-Dario Troles , Richard Nieding , Sonia Simons , Ute Schmid

Global tree species mapping using remote sensing data is vital for biodiversity monitoring, forest management, and ecological research. However, progress in this field has been constrained by the scarcity of large-scale, labeled datasets.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Yang Mu , Zhitong Xiong , Yi Wang , Muhammad Shahzad , Franz Essl , Holger Kreft , Mark van Kleunen , Xiao Xiang Zhu

Forest monitoring and education are key to forest protection, education and management, which is an effective way to measure the progress of a country's forest and climate commitments. Due to the lack of a large-scale wild forest monitoring…

Graphics · Computer Science 2024-02-19 Yawen Lu , Yunhan Huang , Su Sun , Tansi Zhang , Xuewen Zhang , Songlin Fei , Yingjie Chen

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

Information on standing dead trees is important for understanding forest ecosystem functioning and resilience but has been lacking over large geographic regions. Climate change has caused large-scale tree mortality events that can remain…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Mete Ahishali , Anis Ur Rahman , Einari Heinaro , Samuli Junttila
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