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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…

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

Understanding forest health is of great importance for the conservation of the integrity of forest ecosystems. In this regard, evaluating the amount and quality of dead wood is of utmost interest as they are favorable indicators of…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Tsz Chung Wong , Abubakar Sani-Mohammed , Jinhong Wang , Puzuo Wang , Wei Yao , Marco Heurich

Butt rot (BR) damages associated with Norway spruce (Picea abies [L.] Karst.) account for considerable economic losses in timber production across the northern hemisphere. While information on BR damages is critical for optimal…

Applications · Statistics 2021-11-29 Janne Räty , Johannes Breidenbach , Marius Hauglin , Rasmus Astrup

Many forest management planning decisions are based on information about the number of trees by species and diameter per unit area. This information is commonly summarized in a stand table, where a stand is defined as a group of forest…

Applications · Statistics 2014-11-04 Andrew O. Finley , Sudipto Banerjee , Aaron R. Weiskittel , Chad Babcock , Bruce D. Cook

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…

Cut-to-length harvesters collect useful information for modeling relationships between forest attributes and airborne laser scanning (ALS) data. However, harvesters operate in mature forests, which may introduce selection biases that can…

Applications · Statistics 2022-12-20 Janne Räty , Marius Hauglin , Rasmus Astrup , Johannes Breidenbach

In prediction of forest parameters with data from remote sensing (RS), regression models have traditionally been trained on a small sample of ground reference data. This paper proposes to impute this sample of true prediction targets with…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Sara Björk , Stian N. Anfinsen , Michael Kampffmeyer , Erik Næsset , Terje Gobakken , Lennart Noordermeer

Large-scale forest resource maps based on national forest inventory (NFI) data and airborne laser scanning may facilitate synergies between NFIs and forest management inventories (FMIs). A comparison of models used in such a NFI-based map…

Applications · Statistics 2021-04-29 Johannes Rahlf , Marius Hauglin , Rasmus Astrup , Johannes Breidenbach

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

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

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

Relating forest productivity to local variations in forest structure has been a long-standing challenge. Previous studies often focused on the connection between forest structure and stand-level photosynthesis (GPP). However, biomass…

Populations and Evolution · Quantitative Biology 2023-11-20 Samuel M. Fischer , Xugao Wang , Andreas Huth

Background: The mapping of tree species within Norwegian forests is a time-consuming process, involving forest associations relying on manual labeling by experts. The process can involve both aerial imagery, personal familiarity, or…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Martijn Vermeer , Jacob Alexander Hay , David Völgyes , Zsófia Koma , Johannes Breidenbach , Daniele Stefano Maria Fantin

With recent developments in remote sensing technologies, plot-level forest resources can be predicted utilizing airborne laser scanning (ALS). The prediction is often assisted by mostly vertical summaries of the ALS point clouds. We present…

Applications · Statistics 2021-05-03 Henrike Häbel , András Balázs , Mari Myllymäki

Age estimation from facial images is typically cast as a label distribution learning or regression problem, since aging is a gradual progress. Its main challenge is the facial feature space w.r.t. ages is inhomogeneous, due to the large…

Computer Vision and Pattern Recognition · Computer Science 2019-08-26 Wei Shen , Yilu Guo , Yan Wang , Kai Zhao , Bo Wang , Alan Yuille

A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning of inferior trees…

Optimization and Control · Mathematics 2016-08-19 Ankur Sinha , Janne Rämö , Pekka Malo , Markku Kallio , Olli Tahvonen

Remote sensing data are increasingly available and frequently used to produce forest attributes maps. The sampling strategy of the calibration plots may directly affect predictions and map qualities. The aim of this manuscript is to…

Applications · Statistics 2024-08-09 Andrey Ramirez Luigui , Jean-Pierre Renaud , Cédric Vega

Wood increment is critical information in forestry management. Previous studies used mathematics models to describe complex growing pattern of forest stand, in order to determine the dynamic status of growing forest stand in multiple…

Computational Engineering, Finance, and Science · Computer Science 2014-05-21 Xiaohui Huang , Xing Hu , Weichang Jiang , Zhi Yang , Hao Li

Spatially explicit data layers of tree species assemblages, referred to as forest types or forest type groups, are a key component in large-scale assessments of forest sustainability, biodiversity, timber biomass, carbon sinks and forest…

Applications · Statistics 2009-10-09 Andrew O. Finley , Sudipto Banerjee , Ronald E. McRoberts
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