Preprints

Filtering by Subject: Forest Management

Transitioning Machine Learning from Theory to Practice in Natural Resources Management

Sheila M. Saia, Natalie G. Nelson, Anders S. Huseth, Khara Grieger, Brian J. Reich

Published: 2020-10-22
Subjects: Agriculture, Computer Sciences, Environmental Education, Environmental Sciences, Environmental Studies, Forest Management, Forest Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Water Resource Management

Advances in sensing and computation have accelerated at unprecedented rates and scales, in turn creating new opportunities for natural resources managers to improve adaptive and predictive management practices by coupling large environmental datasets with machine learning (ML). Yet, to date, ML models often remain inaccessible to managers working outside of academic research. To identify [...]

Range-based intensity normalization of ALS data over forested areas using a sensor tracking method from multiple returns

Jean-Romain Roussel, Jean-François Bourdon, Alexis Achim

Published: 2020-07-10
Subjects: Education, Engineering, Environmental Monitoring, Environmental Sciences, Forest Management, Forest Sciences, Life Sciences, Natural Resources Management and Policy, Other Forestry and Forest Sciences, Physical Sciences and Mathematics

Airborne laser scanning (ALS) point-clouds are used in forest inventory to map properties of the resource. In most cases, only the (x,y,z) coordinates of the point cloud are used to build predictive models of forest structure. Despite being recorded and provided by data suppliers, the intensity values associated with each point are rarely used as an input to such models because raw intensity [...]

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, Ninni Saarinen, Harri Kaartinen, Antero Kukko, Juha Hyyppä, Mikko Vastaranta, Markus Holopainen

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 [...]

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, Raghavan Srinivasan, Josiclêda Domiciano Galvíncio

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 T. Allen, Markus Hrachowitz, Rolf Hut, Donna M. Rizzo

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 [...]

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