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Monitoring and managing Earth's forests in an informed manner is an important requirement for addressing challenges like biodiversity loss and climate change. While traditional in situ or aerial campaigns for forest assessments provide…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Alexander Becker , Stefania Russo , Stefano Puliti , Nico Lang , Konrad Schindler , Jan Dirk Wegner

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…

This paper investigates tree species classification using Sentinel-2 multispectral satellite image time-series. Despite their critical importance for many applications, such maps are often unavailable, outdated, or inaccurate for large…

Image and Video Processing · Electrical Eng. & Systems 2024-11-28 Florian Mouret , David Morin , Milena Planells , Cécile Vincent-Barbaroux

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

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

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

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

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

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

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

Monitoring tree crop expansion is vital for zero-deforestation policies like the European Union's Regulation on Deforestation-free Products (EUDR). However, these efforts are hindered by a lack of highresolution data distinguishing diverse…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Yuchang Jiang , Anton Raichuk , Xiaoye Tong , Vivien Sainte Fare Garnot , Daniel Ortiz-Gonzalo , Dan Morris , Konrad Schindler , Jan Dirk Wegner , Maxim Neumann

There is a rising interest in mapping trees using satellite or aerial imagery, but there is no standardized evaluation protocol for comparing and enhancing methods. In dense canopy areas, the high variability of tree sizes and their spatial…

Computer Vision and Pattern Recognition · Computer Science 2023-11-15 Dimitri Gominski , Ankit Kariryaa , Martin Brandt , Christian Igel , Sizhuo Li , Maurice Mugabowindekwe , Rasmus Fensholt

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…

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

Accurate tree height estimation is vital for ecological monitoring and biomass assessment. We apply quantile regression to existing tree height estimation models based on satellite data to incorporate uncertainty quantification. Most…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Karsten Schrödter , Jan Pauls , Fabian Gieseke

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…

With the rise in global greenhouse gas emissions, accurate large-scale tree canopy height maps are essential for understanding forest structure, estimating above-ground biomass, and monitoring ecological disruptions. To this end, we present…

Machine Learning · Computer Science 2026-03-13 Jan Pauls , Max Zimmer , Berkant Turan , Sassan Saatchi , Philippe Ciais , Sebastian Pokutta , Fabian Gieseke

Accurate information on the distribution of vegetation species is used as a proxy for the health of an ecosystem, a currency of international environmental treaties, and a necessary planning tool for forest preservation and rehabilitation,…

Methodology · Statistics 2023-09-20 Henry Scharf , Jonathan Schierbaum , Hana Matsumoto , Tim Assal

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

This work intends to lay the foundations for identifying the prevailing forest types and the delineation of forest units within private forest inventories in the Autonomous Province of Trento (PAT), using currently available remote sensing…

Computer Vision and Pattern Recognition · Computer Science 2023-01-10 Daniele Michelini , Michele Dalponte , Angelo Carriero , Erico Kutchart , Salvatore Eugenio Pappalardo , Massimo De Marchi , Francesco Pirotti
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