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Stand Canopy Closure Estimation in Planted Forests Using a Geometric-Optical Model Based on Remote Sensing
canopy closure the GOST model fisheye camera photos transects LAI
2023/11/30
Canopy closure, which is the ratio of the vertical projection area of the crowns to the area of forest land, can indicate the growth and tending situation of a forest and is of great significance for ...
Combining Different Transformations of Ground Hyperspectral Data with Unmanned Aerial Vehicle (UAV) Images for Anthocyanin Estimation in Tree Peony Leaves
hyperspectral tree peony anthocyanin (Anth) unmanned aerial vehicle (UAV)
2023/11/30
To explore rapid anthocyanin (Anth) detection technology based on remote sensing (RS) in tree peony leaves, we considered 30 species of tree peonies located in Shaanxi Province, China. We used an SVC ...
Using Airborne Lidar, Multispectral Imagery, and Field Inventory Data to Estimate Basal Area, Volume, and Aboveground Biomass in Heterogeneous Mixed Species Forests: A Case Study in Southern Alabama
laser forestry allometry parametric non-parametric modeling 3DEP Alabama
2023/11/30
Airborne light detection and ranging (lidar) has proven to be a useful data source for estimating forest inventory metrics such as basal area (BA), volume, and aboveground biomass (AGB) and for produc...
Evaluating alternative hypotheses behind biodiversity and multifunctionality relationships in the forests of Northeastern China
Biodiversity and ecosystem multifunctionality Biomass Functional traits Mass ratio effect Niche complementarity effect Vegetation quantity effect
2023/11/30
Background: The importance of biodiversity in maintaining multiple ecosystem functions has been widely accepted. However, the specific mechanisms affecting biodiversity and ecosystem multifunctionalit...
Forest regeneration within Earth system models: current process representations and ways forward
arth system models forestregeneration reproductive allocation treerecruitment vegetation demographic models vegetation dynamics
2023/11/30
Earth system models must predict forest responses to global change in order to simulate future global climate, hydrology, and ecosystem dynamics. These models are increasingly adopting vegetation demo...
Forest Dynamics Models for Conservation, Restoration, and Management of Small Forests
simulation model smixed-species models spatially explicit model sempirical models process-based models mechanistic models
2023/11/30
Globally, there are myriad situations in which people aim to conserve, restore, or manage forest ecosystems at small spatial scales of 50 ha or less. To inform management, forest dynamics models provi...
Integrating UAV-SfM and Airborne Lidar Point Cloud Data to Plantation Forest Feature Extraction
UAV-ALS point cloud georeferencing improved ICP via invariant ground surface feature tree parameterization airborne lidar sensing UAV optical sensing sustainable timber production
2023/11/30
A low-cost but accurate remote-sensing-based forest-monitoring tool is necessary for regularly inventorying tree-level parameters and stand-level attributes to achieve sustainable management of timber...
Effect of Climate on Carbon Storage Growth Models for Three Major Coniferous Plantations in China Based on National Forest Inventory Data
carbon storage carbon sequestration capacity variable parameter growth model climatic factor
2023/11/30
Forest inventory data (FID) are important resources for understanding the dynamics of forest carbon cycling at regional and global scales. Developing carbon storage growth models and analyzing the dif...
Silvopasture in the USA: A systematic review of natural resource professional and producer-reported benefits, challenges, and management activities
Silvopasture Silvopastoral Forest grazing Agroforestry Climate smart agriculture Ecosystem services
2023/11/30
Silvopasture is the deliberate integration of trees, forage, and grazing livestock on the same piece of land. These agroecosystems are intensively managed for multiple benefits, providing both short-a...
Incorporating Ecosystem Service Multifunctionality and Its Response to Urbanization to Identify Coordinated Economic, Societal, and Environmental Relationships in China
ecosystem services ecosystem service multifunctionality urbanization spatially heterogeneous response sustainable development
2023/11/30
Urbanization poses a threat to ecosystems and contributes to the degradation of the environment. It is of great importance to identify coordinated economic, societal, and environmental relationships w...
Modelling of the reef benthic habitat distribution within the Cabrera National Park (Western Mediterranean Sea)
GIS bathymetry habitats mapping Mediterranean
2023/11/30
Habitat spatial distribution is essential to know where to focus the protection of the seafloor resources. In this work, the bathymetry and backscatter seabed data show the importance of remote sensin...
Wildfire Risk Assessment in Liangshan Prefecture, China Based on An Integration Machine Learning Algorithm
frequency ratio MCD64A1 Bayesian optimization support vector machine random forest extreme gradient boosting
2023/11/30
Previous wildfire risk assessments have problems such as subjectivity of weight allocation and the linearization of statistical models, resulting in generally low robustness and low generalization abi...
Carbon Pool in Mexican Wetland Soils: Importance of the Environmental Service
wetlands environmental services carbon soil sequestration carbon budgets
2023/11/29
Mexican wetlands are not included in Earth system models around the world, despite being an important carbon store in the wetland soils in the tropics. In this review, five different types of wetlands...
Improving Estimates and Change Detection of Forest Above-Ground Biomass Using Statistical Methods
above-ground biomass remote sensing statistics modelling spatial modelling machine learning
2023/11/29
Forests store approximately as much carbon as is in the atmosphere, with potential to take in or release carbon rapidly based on growth, climate change and human disturbance. Above-ground biomass (AGB...
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest
hyperspectral image imbalanced data oversampling adaptive synthetic sampling tree-based classifier subsampling deep multi-grained cascade forest
2023/11/29
Hyperspectral image (HSI) analysis generally suffers from issues such as high dimensionality, imbalanced sample sets for different classes, and the choice of classifiers for artificially balanced data...