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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

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

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

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

Reliable building height estimation is essential for various urban applications. Spaceborne SAR tomography (TomoSAR) provides weather-independent, side-looking observations that capture facade-level structure, offering a promising…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Zhaiyu Chen , Yuanyuan Wang , Yilei Shi , Xiao Xiang Zhu

Autonomous harvesting and transportation is a long-term goal of the forest industry. One of the main challenges is the accurate localization of both vehicles and trees in a forest. Forests are unstructured environments where it is difficult…

Robotics · Computer Science 2020-06-16 Qingqing Li , Paavo Nevalainen , Jorge Peña Queralta , Jukka Heikkonen , Tomi Westerlund

Forest fire spreading is a complex phenomenon characterized by a stochastic behavior. Nowadays, the enormous quantity of georeferenced data and the availability of powerful techniques for their analysis can provide a very careful picture of…

Populations and Evolution · Quantitative Biology 2023-09-06 Roberto Beneduci , Giovanni Mascali

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

Accurate estimation of forest biomass is crucial for monitoring carbon sequestration and informing climate change mitigation strategies. Existing methods often rely on allometric models, which estimate individual tree biomass by relating it…

Machine Learning · Computer Science 2026-03-06 Habib Pourdelan , Zhengkang Xiang , Hugh Stewart , Cam Nicholson , Martin Tomko , Kourosh Khoshelham

The increasing frequency and severity of climate related disasters have intensified the need for real time monitoring, early warning, and informed decision-making. Earth Observation (EO), powered by satellite data and Machine Learning (ML),…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Stella Girtsou , Konstantinos Alexis , Giorgos Giannopoulos , Charalambos Kontoes

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

Deforestation has become a significant contributing factor to climate change and, due to this, both classifying the drivers and predicting segmentation maps of deforestation has attracted significant interest. In this work, we develop a…

Computer Vision and Pattern Recognition · Computer Science 2021-12-17 Joshua Mitton , Roderick Murray-Smith

In intensively managed forests in Europe, where forests are divided into stands of small size and may show heterogeneity within stands, a high spatial resolution (10 - 20 meters) is arguably needed to capture the differences in canopy…

Along with the accumulation of atmospheric carbon dioxide, the loss of primary forests and other natural ecosystems is a major disruption of the Earth system causing global concern. Quantifying planetary warming from carbon emissions,…

Atmospheric and Oceanic Physics · Physics 2024-02-28 Anastassia M. Makarieva , Andrei V. Nefiodov , Anja Rammig , Antonio Donato Nobre

By-tree information gathering is an essential task in precision agriculture achieved by ground mobile sensors, but it can be time- and labor-intensive. In this paper we present an algorithmic framework to perform real-time and on-the-go…

Saplings are key indicators of forest regeneration and overall forest health. However, their fine-scale architectural traits are difficult to capture with existing 3D sensing methods, which make quantitative evaluation difficult.…

Accurate mapping of individual trees is an important component for precision agriculture in orchards, as it allows autonomous robots to perform tasks like targeted operations or individual tree monitoring. However, creating these maps is…

Robotics · Computer Science 2025-07-17 David Rapado-Rincon , Gert Kootstra

Forest canopies embody a dynamic set of ecological factors, acting as a pivotal interface between the Earth and its atmosphere. They are not only the result of an ecosystem's ability to maintain its inherent ecological processes,…

Computational Engineering, Finance, and Science · Computer Science 2024-10-15 Marco L. Della Vedova , Mattias Wahde

The estimation of deforestation in the Amazon Forest is challenge task because of the vast size of the area and the difficulty of direct human access. However, it is a crucial problem in that deforestation results in serious environmental…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Dongoo Lee , Yeonju Choi

Forestry is a major industry in many parts of the world. It relies on forest inventory, which consists of measuring tree attributes. We propose to use 3D mapping, based on the iterative closest point algorithm, to automatically measure tree…

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