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Related papers: Urban Tree Species Classification Using Aerial Ima…

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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

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

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

Earth's forests play an important role in the fight against climate change, and are in turn negatively affected by it. Effective monitoring of different tree species is essential to understanding and improving the health and biodiversity of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-30 Venkatesh Ramesh , Arthur Ouaknine , David Rolnick

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

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

We introduce a novel deep learning method for detection of individual trees in urban environments using high-resolution multispectral aerial imagery. We use a convolutional neural network to regress a confidence map indicating the locations…

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

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

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

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 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

Identification of tree species plays a key role in forestry related tasks like forest conservation, disease diagnosis and plant production. There had been a debate regarding the part of the tree to be used for differentiation, whether it…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Sahil Faizal

Vegetation, trees in particular, sequester carbon by absorbing carbon dioxide from the atmosphere. However, the lack of efficient quantification methods of carbon stored in trees renders it difficult to track the process. We present an…

Computer Vision and Pattern Recognition · Computer Science 2021-07-21 Levente J. Klein , Wang Zhou , Conrad M. Albrecht

Climate change is increasing the intensity and frequency of many extreme weather events, including heatwaves, which results in increased thermal discomfort and mortality rates. While global mitigation action is undoubtedly necessary, so is…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 Simon Schrodi , Ferdinand Briegel , Max Argus , Andreas Christen , Thomas Brox

Accurate assessment of urban canopy coverage is crucial for informed urban planning, effective environmental monitoring, and mitigating the impacts of climate change. Traditional practices often face limitations due to inadequate technical…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Anisha Dutta

New streams of data enable us to associate physical objects with rich multi-dimensional data on the urban environment. This study presents how open data integration can contribute to deeper insights into urban ecology. We analyze street…

Computers and Society · Computer Science 2017-10-31 Yuan Lai , Constantine E. Kontokosta

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

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

Urban canopy cover is important to mitigate the impact of climate change. Yet, existing quantification of urban greenery is either manual and not scalable, or use traditional computer vision methods that are inaccurate. We train deep…

Computer Vision and Pattern Recognition · Computer Science 2019-12-05 Bill Cai , Xiaojiang Li , Carlo Ratti
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