Preprints

Filtering by Subject: Forest Sciences

Individual tree detection and characterization using 3D remote sensing

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, et al.

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Here, we will cover individual tree detection and characterization using 3D remote sensing. Simply, it means that point clouds are collected over a forested area using airborne laser scanning (ALS) or created using photogrammetric image interpretation and further used to detect individual trees using different algorithms. After the tree detection, the attributes of interest are predicted for each [...]

Introduction to geoinformation science

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, et al.

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Social and Behavioral Sciences

Here, we define a geoinformation system (GIS) as a system, which is designed to capture, store, manipulate, analyze, manage, and present geospatial data. In university education, we study geoinformation science that is the science underlying geographic concepts, applications, and systems. Geoinformation science is dedicated to advancing our understanding of geographic processes and spatial [...]

POSSIBILITIES OF CHANGE DETECTION OF TREE AND FOREST ATTRIBUTES BY COMBINING TERRESTRIAL LASER SCANNING BASED 3D POINT CLOUDS WITH UAV DATA

Ville Luoma, Tuomas Yrttimaa, Ville Kankare, et al.

Published: 2020-04-01
Subjects: Forest Management, Forest Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Exact and up-to-date information about forest resources is needed for decision makers when planning the use of forests. Knowledge about changes in forest environment and tree growth is a key factor for example when predicting the effects of climate change and estimating the amount of biomass and sequestered carbon in forests. New technologies, such as unmanned aerial vehicles (UAVs), allow one to [...]

Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation

Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, et al.

Published: 2020-03-05
Subjects: Forest Sciences, Life Sciences

There is a limited understanding of how forest structure affects the performance of methods based on terrestrial laser scanning (TLS) in characterizing trees and forest environments. We aim to improve this understanding by studying how different forest management activities that shape tree size distributions affect the TLS-based forest characterization accuracy in managed Scots pine (Pinus [...]

Integrating UAV photogrammetry with terrestrial laser scanning to characterize managed forest stands

Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, et al.

Published: 2020-03-03
Subjects: Forest Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Terrestrial laser scanning (TLS) provides detailed three-dimensional representation of the surrounding forest structure. However, due to close-range hemispherical scanning geometry the ability of TLS technique to comprehensively characterize the upper parts of forest canopy is often limited. To overcome challenges in upper canopy characterization, TLS point cloud were complemented with a point [...]

Realistic and simplified models of plant and leaf area indices for a seasonally dry tropical forest

Rodrigo de Queiroga Miranda, Rodolfo Luiz Bezerra Nóbrega, Magna Soelma Beserra de Moura, et al.

Published: 2019-08-06
Subjects: Civil and Environmental Engineering, Desert Ecology, Ecology and Evolutionary Biology, Engineering, Environmental Engineering, Forest Management, Forest Sciences, Life Sciences, Plant Sciences, Research Methods in Life Sciences

Leaf Area Index (LAI) models that consider all phenological stages have not been developed for the Caatinga, the largest seasonally dry tropical forest in South America. LAI models that are currently used show moderate to high covariance when compared to in situ data, but they often lack accuracy in the whole spectra of possible values and do not consider the impact that the stems and branches [...]

Comment on Evaristo & McDonnell, Global analysis of streamflow response to forest management

James W Kirchner, Wouter Berghuijs, Scott Allen, et al.

Published: 2019-07-25
Subjects: Earth Sciences, Environmental Sciences, Forest Management, Forest Sciences, Hydrology, Life Sciences, Physical Sciences and Mathematics, Water Resource Management

Forests play a key role in the water cycle, so both planting and removing forests can affect streamflow. In a recent Nature article1, Evaristo and McDonnell used a gradient-boosted-tree model to conclude that streamflow response to forest removal is predominantly controlled by the potential water storage in the landscape, and that removing the worlds forests would contribute an additional 34,098 [...]

Effectiveness of the Geospatial Data Processing and Use of Statistical Information for Proper Environmental Planning and Zoning: Example of the Šumava National Park, Czech Republic

Polina Lemenkova

Published: 2019-01-28
Subjects: Biochemistry, Biophysics, and Structural Biology, Biodiversity, Cell and Developmental Biology, Earth Sciences, Ecology and Evolutionary Biology, Education, Educational Methods, Environmental Education, Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Environmental Studies, Forest Biology, Forest Management, Forest Sciences, Geography, Geomorphology, Life Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Other Forestry and Forest Sciences, Physical Sciences and Mathematics, Sedimentology, Social and Behavioral Sciences, Soil Science, Sustainability, Wood Science and Pulp, Paper Technology

Current paper details methodology and principles of the zoning and ranging of the nature reserve area of Sumava National Park (Czech Republic) aimed at the effective planning and monitoring special nature areas.Methodology includes complex geoecological assessment of the territory, GIS application and processing of statristical data. The specific case study includes unique nature area of the [...]

A Sensitivity Analysis Study of the SPITFIRE Fire Model

Jose Luis Gomez-Dans

Published: 2018-10-31
Subjects: Environmental Monitoring, Environmental Sciences, Forest Sciences, Life Sciences, Other Forestry and Forest Sciences, Physical Sciences and Mathematics

This MS describes a sensitivity analysis of the SPITFIRE fire model coupled to the Lund-Potsdam-Jena (LPJ) dynamic global vegetation model (DGVM). The study aims to investigate the parameters that control how the fire model calculates burnt area across different ecosystems. In different fire systems, different parameters are found to have higher sensitivity to burnt area, but in general, [...]

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