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Global warming, loss of biodiversity, and air pollution are among the most significant problems facing Earth. One of the primary challenges in addressing these issues is the lack of monitoring forests to protect them. To tackle this…

Computer Vision and Pattern Recognition · Computer Science 2025-07-03 Ozan Durgut , Beril Kallfelz-Sirmacek , Cem Unsalan

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

Delineation approaches provide significant benefits to various domains, including agriculture, environmental and natural disasters monitoring. Most of the work in the literature utilize traditional segmentation methods that require a large…

Computer Vision and Pattern Recognition · Computer Science 2021-07-19 Kostas Blekos , Stavros Nousias , Aris S Lalos

Detailed forest inventories are critical for sustainable and flexible management of forest resources, to conserve various ecosystem services. Modern airborne laser scanners deliver high-density point clouds with great potential for…

Computer Vision and Pattern Recognition · Computer Science 2024-02-26 Binbin Xiang , Maciej Wielgosz , Theodora Kontogianni , Torben Peters , Stefano Puliti , Rasmus Astrup , Konrad Schindler

The accurate semantic segmentation of tree crowns within remotely sensed data is crucial for scientific endeavours such as forest management, biodiversity studies, and carbon sequestration quantification. However, precise segmentation…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Georgios Voulgaris

Olive tree biovolume estimation is a key task in precision agriculture, supporting yield prediction and resource management, especially in Mediterranean regions severely impacted by climate-induced stress. This study presents a comparative…

Image and Video Processing · Electrical Eng. & Systems 2025-10-31 Wondimagegn Abebe Demissie , Stefano Roccella , Rudy Rossetto , Antonio Minnocci , Andrea Vannini , Luca Sebastiani

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

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

Monitoring forest dynamics at an individual tree scale is essential for accurately assessing ecosystem responses to climate change, yet traditional methods relying on field-based forest inventories are labor-intensive and limited in spatial…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Matthew J. Allen , Harry J. F. Owen , Stuart W. D. Grieve , Emily R. Lines

An increasing amount of companies and cities plan to become CO2-neutral, which requires them to invest in renewable energies and carbon emission offsetting solutions. One of the cheapest carbon offsetting solutions is preventing…

Computers and Society · Computer Science 2019-12-18 Björn Lütjens , Lucas Liebenwein , Katharina Kramer

Deforestation, a major contributor to climate change, poses detrimental consequences such as agricultural sector disruption, global warming, flash floods, and landslides. Conventional approaches to urban street tree inventory suffer from…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Asim Khan , Umair Nawaz , Anwaar Ulhaq , Iqbal Gondal , Sajid Javed

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

The potential of tree planting as a natural climate solution is often undermined by inadequate monitoring of tree planting projects. Current monitoring methods involve measuring trees by hand for each species, requiring extensive cost,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Mélisande Teng , Arthur Ouaknine , Etienne Laliberté , Yoshua Bengio , David Rolnick , Hugo Larochelle

We present a highly detailed instance segmentation model for delineating individual tree crowns in natural broadleaf forests using aerial imagery acquired by unmanned aerial vehicles (UAVs). Tree crown delineation in broadleaf forests is…

Image and Video Processing · Electrical Eng. & Systems 2026-05-18 Mitsutaka Nakada , Takahiko Ikebata , Kengo Ikebata , Yuji Mizuno , Yusuke Onoda , Ryuichi Takeshige , Kyaw Kyaw Htoo , Kanehiro Kitayama , Robert Ong , Masanori Onishi

Mapping individual tree crowns is essential for tasks such as maintaining urban tree inventories and monitoring forest health, which help us understand and care for our environment. However, automatically separating the crowns from each…

Computer Vision and Pattern Recognition · Computer Science 2026-02-16 Julius Pesonen , Stefan Rua , Josef Taher , Niko Koivumäki , Xiaowei Yu , Eija Honkavaara

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

This paper presents a non-parametric approach for segmenting trees from airborne LiDAR data in deciduous forests. Based on the LiDAR point cloud, the approach collects crown information such as steepness and height on-the-fly to delineate…

Computer Vision and Pattern Recognition · Computer Science 2017-01-03 Hamid Hamraz , Marco A. Contreras , Jun Zhang

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

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

Automatic classification of trees using remotely sensed data has been a dream of many scientists and land use managers. Recently, Unmanned aerial vehicles (UAV) has been expected to be an easy-to-use, cost-effective tool for remote sensing…

Computer Vision and Pattern Recognition · Computer Science 2018-04-30 Masanori Onishi , Takeshi Ise
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