Preprints

Filtering by Subject: Forest Management

Advancing forest aboveground biomass mapping by integrating GEDI with other Earth Observation data using a cloud computing platform: A case study of Alabama, United States

Janaki Sandamali, Lana Narine

Published: 2024-04-06
Subjects: Applied Statistics, Climate, Earth Sciences, Environmental Monitoring, Environmental Sciences, Forest Management, Other Forestry and Forest Sciences

Forest aboveground biomass (AGB) is a crucial indicator for monitoring carbon and requires accurate quantification. This study aimed to advance AGB estimation using open access Earth observation (EO) data and cloud computing, focusing on Alabama, USA. The specific objectives were to: (1) develop a workflow for creating a 30 m forest AGBD map with GEDI, using GEE, (2) evaluate and compare [...]

Using computer vision to detect and segment fire behavior classifications in UAS-captured images

Brett Lawrence, Emerson de Lemmus

Published: 2024-02-21
Subjects: Artificial Intelligence and Robotics, Forest Management, Natural Resources and Conservation

The widely adaptable capabilities of artificial intelligence, in particular deep learning and computer vision has led to significant research output regarding fire and smoke detection. Previous studies often focus on themes like early fire detection, increased operational awareness, and post-fire assessment. To further test the capabilities of deep learning detection in these scenarios, we [...]

The Potential for Fuel Reduction to Offset Climate Warming Impacts on Wildfire Intensity in California

Patrick T Brown, Scott Strenfel, Richard B. Bagley, et al.

Published: 2024-02-21
Subjects: Climate, Earth Sciences, Environmental Sciences, Forest Management, Forest Sciences, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Other Statistics and Probability, Physical Sciences and Mathematics, Probability, Statistical Methodology, Statistical Models, Statistics and Probability

Increasing fuel aridity due to climate warming has and will continue to increase wildfire danger in California. In addition to reducing global greenhouse gas emissions, one of the primary proposals for counteracting this increase in wildfire danger is a widespread expansion of hazardous fuel reductions. Here, we quantify the potential for fuel reduction to reduce wildfire intensity using [...]

Understanding Europe’s forest harvesting regimes

Susanne Suvanto, Adriane Esquivel Muelbert, Mart-Jan Schelhaas, et al.

Published: 2023-09-01
Subjects: Environmental Sciences, Forest Management, Forest Sciences, Life Sciences, Natural Resources Management and Policy, Nature and Society Relations

The functioning and structure of most European forests are actively shaped by intensive human use. Harvesting of wood is one of the key processes of forest management, making it a crucial element to include in any large-scale analysis of forest ecosystems. Yet, our understanding of how forests are harvested across Europe is limited, as the true harvest regimes – a realisation of decisions made by [...]

Revisiting the Climate Narrative

Denis de Bernardy

Published: 2023-04-06
Subjects: Agriculture, Climate, Ecology and Evolutionary Biology, Environmental Engineering, Environmental Studies, Food Science, Forest Management, Hydrology, Natural Resources and Conservation, Natural Resources Management and Policy, Oil, Gas, and Energy, Other Environmental Sciences, Soil Science, Sustainability, Water Resource Management

The rise in atmospheric carbon dioxide is chiefly tied to land stewardship. Farmers and loggers have removed the plants that, until the industrial era, kept the soil fungi alive, kept soil emissions nearby by breaking the wind, and soaked those up. The result is plumes of carbon dioxide. Putting plants back in would curb these emissions. Farmers and loggers could address biodiversity loss [...]

A Technical Overview of the North Carolina ECONet

Sheila M. Saia, Sean P. Heuser, Myleigh D. Neill, et al.

Published: 2022-07-20
Subjects: Agricultural Science, Agriculture, Atmospheric Sciences, Climate, Earth Sciences, Environmental Education, Environmental Monitoring, Environmental Public Health, Environmental Sciences, Forest Management, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Plant Sciences

Regional weather networks–also referred to as mesonets–are imperative for filling in the spatial and temporal data gaps between nationally supported weather stations. The North Carolina Environment and Climate Observing Network (ECONet) fills this regional role; it is a mesoscale network of 44 (as of 2023) automated stations collecting 12 environmental variables every minute across North [...]

Cutting down trees does not build prosperity: On the continued decoupling of Amazon deforestation and economic development in 21st century Brazil

DARREN NORRIS, Terciane Sabadini Carvalho, Angela M. Guerrero, et al.

Published: 2022-05-14
Subjects: Environmental Studies, Forest Management, Life Sciences, Nature and Society Relations, Remote Sensing

Background and aims: We present evidence examining spatial and temporal patterns in forest cover changes and economic progress in Brazilian Amazonia. Specifically we tested two predictions embedded in arguments used by influential interest groups: i) where there is less forest cover economic progress should increase and ii) areas with most recent deforestation should have increased economic [...]

How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass?

Petri Varvia, Lauri Korhonen, André Bruguière, et al.

Published: 2022-01-10
Subjects: Forest Management, Forest Sciences

Spaceborne lidar sensors have potential to improve the accuracy of forest above-ground biomass (AGB) estimates by providing direct measurements of 3D structure of forests over large spatial scales. The ICESat-2 (Ice, Cloud and land Elevation Satellite 2), launched in 2018, provides a good coverage of the boreal forest zone and has been previously shown to provide good estimates of forest canopy [...]

Transitioning Machine Learning from Theory to Practice in Natural Resources Management

Sheila M. Saia, Natalie G. Nelson, Anders S. Huseth, et al.

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, et al.

Published: 2020-04-02
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, et al.

Published: 2019-08-07
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 [...]

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