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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

Trees inside cities are important for the urban microclimate, contributing positively to the physical and mental health of the urban dwellers. Despite their importance, often only limited information about city trees is available. Therefore…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Hui Zhang , Ankit Kariryaa , Venkanna Babu Guthula , Christian Igel , Stefan Oehmcke

Timber represents an increasingly valuable and versatile resource. However, forestry operations such as harvesting, handling and measuring logs still require substantial human labor in remote environments posing significant safety risks.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Daniel Steininger , Julia Simon , Andreas Trondl , Markus Murschitz

Healthy urban forests comprising of diverse trees and shrubs play a crucial role in mitigating climate change. They provide several key advantages such as providing shade for energy conservation, and intercepting rainfall to reduce flood…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Akshit Gupta , Remko Uijlenhoet

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

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

Forests worldwide are increasingly threatened by climate change and disturbances such as fire, pests, and pathogens, creating an urgent need for scalable monitoring of tree cover and tree mortality. Aerial imagery from drones and aircraft…

Up-to-date catalogs of the urban tree population are important for municipalities to monitor and improve quality of life in cities. Despite much research on automation of tree mapping, mainly relying on dedicated airborne LiDAR or…

Computer Vision and Pattern Recognition · Computer Science 2019-10-08 Steve Branson , Jan Dirk Wegner , David Hall , Nico Lang , Konrad Schindler , Pietro Perona

Urban trees help regulate temperature, reduce energy consumption, improve urban air quality, reduce wind speeds, and mitigating the urban heat island effect. Urban trees also play a key role in climate change mitigation and global warming…

Computer Vision and Pattern Recognition · Computer Science 2021-07-08 Emily Waters , Mahdi Maktabdar Oghaz , Lakshmi Babu Saheer

Beyond the immediate biophysical benefits, urban trees play a foundational role in environmental sustainability and disaster mitigation. Precise mapping of urban trees is essential for environmental monitoring, post-disaster assessment, and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 In Seon Kim , Ali Moghimi

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

Covering one third of Earth's land surface, forests are vital to global biodiversity, climate regulation, and human well-being. In Europe, forests and woodlands reach approximately 40% of land area, and the forestry sector is central to…

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 global increase in observed forest dieback, characterised by the death of tree foliage, heralds widespread decline in forest ecosystems. This degradation causes significant changes to ecosystem services and functions, including habitat…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 M. J. Allen , D. Moreno-Fernández , P. Ruiz-Benito , S. W. D. Grieve , E. R. Lines

Recent advances in deep learning have made it possible to quantify urban metrics at fine resolution, and over large extents using street-level images. Here, we focus on measuring urban tree cover using Google Street View (GSV) images.…

Computer Vision and Pattern Recognition · Computer Science 2019-10-17 Bill Yang Cai , Xiaojiang Li , Ian Seiferling , Carlo Ratti

Healthy urban greenery is a fundamental asset to mitigate climate change phenomena such as extreme heat and air pollution. However, urban trees are often affected by abiotic and biotic stressors that hamper their functionality, and whenever…

Systems and Control · Electrical Eng. & Systems 2025-06-04 Akshit Gupta , Simone Mora , Fan Zhang , Martine Rutten , R. Venkatesha Prasad , Carlo Ratti

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

Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next-generation communication networks requires efficient trajectory planning methods. We propose a new end-to-end reinforcement learning (RL) approach to UAV-enabled data…

Machine Learning · Computer Science 2021-01-28 Harald Bayerlein , Mirco Theile , Marco Caccamo , David Gesbert

Aerial robots are increasingly being utilized for environmental monitoring and exploration. However, a key challenge is efficiently planning paths to maximize the information value of acquired data as an initially unknown environment is…

Robotics · Computer Science 2022-03-04 Julius Rückin , Liren Jin , Marija Popović

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
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