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The Impact of Season on Productivity and Time Consumption in Timber Harvesting from Young Alder Stands in Lowland Poland
Alnus glutinosa commercial thinning season of timber harvesting productivity time consumption time study working time structure
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2024/1/19
The purpose of this study was to establish the impact of season on productivity, labour consumption, and working time structure during timber harvesting from young alder stands (Alnus glutinosa Gaertn...
Modeling Biomass and Nutrients in a Eucalyptus Stand in the Cerrado
non-linear model Schumacher–Hall model aerial biomass nutrient cycling
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2024/1/19
The prediction of biological processes, which involve growth and plant development, is possible via the adjustment of mathematical models. In forest areas, these models assist in management practices,...
Influence of stand thinning and repeated fertilization on plant community abundance and diversity in young lodgepole pine stands: 15-year results
Biodiversity British Columbia Fertilization Forest management Lodgepole pine Plant productivity
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2024/1/19
Enhanced forest productivity may provide the supply of wood fiber to keep pace with increasing global demand for wood products and the growing constraints on the harvestable land base imposed by measu...
Estimation of Forest Structural Parameters Using UAV-LiDAR Data and a Process-Based Model in Ginkgo Planted Forests
Forestry Structural engineering Measurement Laser radar Predictive models
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2024/1/19
Developing an accurate model for estimating the forest structural parameters of planted forests is crucial for forest productivity predictions and can provide a better understanding of the carbon cycl...
A Revised Monte Carlo Method for Target Location with UAV
Monte Carlo Target location UAV Bias
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2024/1/19
Target location using UAV equipped with vision system has played an important role in many applications but there remain challenges. One of the principal difficulties is to position a target with a hi...
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Convolutional Neural Networks (CNN) deep learning invasive species orthophoto remote sensing tree species Unmanned Aerial Vehicles (UAV) vegetation succession
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2024/1/19
Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high resolution remote sensing data for assessing the spatial distribution of species composition and vegetation characteri...
Spray and economics assessment of a UAV-based ultra-low-volume application in olive and citrus orchards
Agrochemical application UAV Sprayer Economic analysis
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2024/1/19
Automation is a new frontier in specialty agriculture equipment. Specifically, unmanned aerial vehicles (UAV), machine vision and robotics will increasingly appear in sustainable agricultural systems....
Assessing Restoration Potential of Fragmented and Degraded Fagaceae Forests in Meghalaya, North-East India
species composition fagaceae keystone restoration potential anthropogenic disturbance fragmented forests sprouting
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2024/1/19
The montane subtropical broad-leaved humid forests of Meghalaya (Northeast India) are highly diverse and situated at the transition zone between the Eastern Himalayas and Indo-Burma biodiversity hotsp...
Fine scale plant community assessment in coastal meadows using UAV based multispectral data
Coastal plant communities UAV Vegetation indices Random forests Unsupervised classification
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2024/1/19
Coastal meadows worldwide are subjected to habitat degradation due to abandonment, intensification and the impacts of global change. In order to protect and restore these habitats and ensure the suppl...
Allometric Equations for Volume, Biomass, and Carbon in Commercial Stems Harvested in a Managed Forest in the Southwestern Amazon: A Case Study
managed forests carbon sequestration state Acre Brazil tropical forest rainforest timber
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2024/1/19
Forests in the southwestern Amazon are rich, diverse, and dense. The region is of high ecological importance, is crucial for conservation and management of natural resources, and contains substantial ...
Influence of Climate on Carbon Sequestration in Conifers Growing under Contrasting Hydro-Climatic Conditions
carbon accumulation conifers wood density mixed models tree rings dendroecology
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2024/1/19
Analyzing the contrasting ecological gradients makes it easier to understand the influence of climate on carbon accumulation. Background and Objectives: The increasing climatic variability has implica...
A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Bayesian approaches seemingly unrelated regression Korean larch Markov chain Monte Carlo Gibbs sampler
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2024/1/19
Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to p...
Remote sensing for monitoring and mapping Land Productivity in Italy: A rapid assessment methodology
Remote sensing MODIS-NDVI Land Productivity Land Degradation Neutrality
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2024/1/19
We present a remote sensing-based methodology for the Land Productivity (LP) rapid assessment and monitoring of status and trends at national and sub-national scales. This methodology aims at supporti...
Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data
East Rennell World Heritage Site (ERWHS) vegetation cover forest cover dynamic monitoring multi-sources remote sensing data
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2024/1/19
East Rennell of Solomon Island is the first natural site under customary law to be inscribed on UNESCO's World Heritage List. Potential threats due to logging, mining and agriculture led to the site b...
Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques
floods Landsat-8 remote sensing GIS disaster mapping damage assessment Lower Chenab Plain
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2024/1/19
In flood-prone areas, the delineation of the spatial pattern of historical flood extents, damage assessment, and flood durations allow planners to anticipate potential threats from floods and to formu...