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Related papers: Country-wide Retrieval of Forest Structure From Op…

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Scattered trees outside of dense, closed-canopy forests are very important for carbon sequestration, supporting livelihoods, maintaining ecosystem integrity, and climate change adaptation and mitigation. In contrast to trees inside of…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 John Brandt , Fred Stolle

Monitoring and understanding forest dynamics is essential for environmental conservation and management. This is why the Swiss National Forest Inventory (NFI) provides countrywide vegetation height maps at a spatial resolution of 0.5 m. Its…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Yuchang Jiang , Marius Rüetschi , Vivien Sainte Fare Garnot , Mauro Marty , Konrad Schindler , Christian Ginzler , Jan D. Wegner

This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas. The key feature of the proposed classifier is filtering out the built-up region using…

Computer Vision and Pattern Recognition · Computer Science 2023-06-12 Usman Nazir , Momin Uppal , Muhammad Tahir , Zubair Khalid

Nation-wide Sentinel-2 mosaics were used with National Forest Inventory (NFI) data for modelling and subsequent mapping of spruce, pine and deciduous forest in Norway in 16 m $\times$ 16 m resolution. The accuracies of the best model ranged…

We present a new 10-meter map of dominant tree species in Swedish forests accompanied by pixel-level uncertainty estimates. The tree species classification is based on spatiotemporal metrics derived from Sentinel-1 and Sentinel-2 satellite…

Quantitative Methods · Quantitative Biology 2025-12-03 Abdulhakim M. Abdi , Fan Wang

Current optical vegetation indices (VIs) for monitoring forest ecosystems are well established and widely used in various applications, but can be limited by atmospheric effects such as clouds. In contrast, synthetic aperture radar (SAR)…

Machine Learning · Statistics 2025-02-27 Daniel Paluba , Bertrand Le Saux , Přemysl Stych

Forest structural complexity metrics integrate multiple canopy attributes into a single value that reflects habitat quality and ecosystem function. Spaceborne lidar from the Global Ecosystem Dynamics Investigation (GEDI) has enabled mapping…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Tiago de Conto , John Armston , Ralph Dubayah

Global environment monitoring is a task that requires additional attention in the contemporary rapid climate change environment. This includes monitoring the rate of deforestation and areas affected by flooding. Satellite imaging has…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Dmytro Filatov , Ghulam Nabi Ahmad Hassan Yar

Accurate forest canopy height estimation is essential for evaluating aboveground biomass and carbon stock dynamics, supporting ecosystem monitoring services like timber provisioning, climate change mitigation, and biodiversity conservation.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-25 Jose B. Castro , Cheryl Rogers , Camile Sothe , Dominic Cyr , Alemu Gonsamo

Accurate mapping of forests is critical for forest management and carbon stocks monitoring. Deep learning is becoming more popular in Earth Observation (EO), however, the availability of reference data limits its potential in wide-area…

Signal Processing · Electrical Eng. & Systems 2023-08-09 Shaojia Ge , Hong Gu , Weimin Su , Anne Lönnqvist , Oleg Antropov

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

Forests are vital for the wellbeing of our planet. Large and small scale deforestation across the globe is threatening the stability of our climate, forest biodiversity, and therefore the preservation of fragile ecosystems and our natural…

Methodology · Statistics 2022-05-25 Johannes N. Hansen , Edward T. A. Mitchard , Stuart King

This study aimed at estimating total forest above-ground net change (Delta AGB, Mt) over five years (2014-2019) based on model-assisted estimation utilizing freely available satellite imagery. The study was conducted for a boreal forest…

The worldwide variation in vegetation height is fundamental to the global carbon cycle and central to the functioning of ecosystems and their biodiversity. Geospatially explicit and, ideally, highly resolved information is required to…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Nico Lang , Walter Jetz , Konrad Schindler , Jan Dirk Wegner

The age of forest stands is critical information for many aspects of forest management and conservation but area-wide information about forest stand age often does not exist. In this study, we developed regression models for large-scale…

Applications · Statistics 2020-04-29 Johannes Schumacher , Marius Hauglin , Rasmus Astrup , Johannes Breidenbach

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

Identifying terrain within satellite image data is a key issue in geographical information sciences, with numerous environmental and safety implications. Many techniques exist to derive classifications from spectral data captured by…

Computer Vision and Pattern Recognition · Computer Science 2024-09-02 David R. Treadwell , Derek Jacoby , Will Parkinson , Bruce Maxwell , Yvonne Coady

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…

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

Accurately estimating forest biomass is crucial for global carbon cycle modelling and climate change mitigation. Tree height, a key factor in biomass calculations, can be measured using Synthetic Aperture Radar (SAR) technology. This study…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Grace Colverd , Jumpei Takami , Laura Schade , Karol Bot , Joseph A. Gallego-Mejia
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