The objective of this study was to determine whether leaf area index (LAI) can be accurately estimated in intensively managed pine plantations using multiple-return airborne laser scanner (lidar) data. In situ measurements LAI were made the LiCor LAI-2000 Plant Canopy Analyzer on 109 plots under a variety stand conditions (i.e., age, nutritional regime, and stem density) North Carolina Virginia, USA late summer, 2008. Distributional metrics calculated for each plot small footprint lidar data...

The spatial distribution of plant diversity and biomass informs management decisions to maintain biodiversity carbon stocks in tropical forests. Optical remotely sensed data is often used for supporting such activities; however, it difficult estimate these variables areas high biomass. New technologies, as airborne LiDAR, have been overcome limitations. LiDAR has increasingly map forests, but rarely species diversity. In this study, we first evaluated the effect using different plot sizes...

Recent advancements in laser scanning technology have demonstrated great potential for the precise characterization of forests. However, a major challenge utilizing metrics derived from lidar data forest attribute prediction is high degree correlation between these metrics, leading to multicollinearity issues when developing multivariate linear regression models. To address this challenge, study compared performance four different modeling methods predicting various attributes using aerial...

The urban heat island (UHI) effect, where areas experience higher temperatures than surrounding rural regions, necessitates effective monitoring to estimate and address its diverse impacts. Many existing studies on dynamics rely satellite data with coarse resolutions, posing challenges in analyzing heterogeneous surfaces. Unmanned aerial vehicles (UAVs) offer a solution by providing thermal imagery at resolution finer 1 m. Despite UAV imaging being extensively explored agriculture,...

Forests of the southeastern United States are home to large timber industries with substantial contributions global round wood production and paper products. Despite success plantations in this area, pine growth remains constrained due competition between planted species understory. Moreover, effective control interspecies had shown a significant two- four-times increase stand productivity. Thus, study aims evaluate use laser scanning derived data from Terrestrial Laser Scanner (TLS) assess...

Accurately assessing forest structure and maintaining up-to-date information about is crucial for various planning efforts, including the development of reliable plans assessments sustainable management natural resources. Field measurements traditionally applied to acquire inventory (e.g., basal area, tree volume, aboveground biomass) are labor-intensive time-consuming. To address this limitation, remote sensing tech-nology has been widely in modeling efforts help estimate information. Among...

Despite the key role that understory vegetation plays in ecosystems and terrestrial carbon cycle, it is often overlooked has few quantitative measurements, especially at national scales. To understand contribution of to United States (US) budget, we developed an approach relies on field measurements cover height US Department Agriculture Forest Service, Inventory Analysis (FIA) subplots. Allometric models were estimate aboveground carbon. A spatial model based stand characteristics remotely...

The objective of this study was to determine whether leaf area index (LAI) in temperate mixed forests is best estimated using multiple-return airborne laser scanning (lidar) data or dual-band, single-pass interferometric synthetic aperture radar (from GeoSAR) alone, both combination. In situ measurements LAI were made the LiCor LAI-2000 Plant Canopy Analyzer on 61 plots (21 hardwood, 36 pine, 4 pine hardwood; stand age ranging from 12-164 years; mean height 0.4 41.2 m) Appomattox-Buckingham...

Abstract Questions Is the accuracy of predictions above‐ground biomass ( AGB ) and plant species richness tropical dry forests from LIDAR data compromised during leaf‐off canopy period, when most vegetation is leafless, compared to leaf‐on period? How does topographic position affect prediction for conditions? Location Tropical forest, Yucatan Peninsula, Mexico. Methods We evaluated using both estimates richness, assessed adequacy sets characterizing these attributes in multiple regression...

The goal of the current study was to develop methods estimating height vertical components within plantation coniferous forest using airborne discrete multiple return lidar. In summer 2008, lidar and field data were acquired for Loblolly pine locations in North Carolina Virginia, USA, which comprised a variety stand conditions (e.g. age, nutrient regime, stem density). here implement both plot-scale analysis an automated approach delineation individual tree crown (ITC) horizontal extents...

The benefits and services of urban forests are becoming increasingly well documented, with carbon storage being the main focus attention. Recent efforts in remote sensing have incorporated additional data such as LiDAR but been limited to sections an area or only certain species. Existing models not generalizable remaining unmeasured trees. To make a individual tree model, we used metrics from NAIP aerial imagery NOAA USGS for 2013 2019, two crown-level biomass were developed. We ran LASSO...

Accurately assessing forest structure and maintaining up-to-date information about is crucial for various planning efforts, including the development of reliable plans assessments sustainable management natural resources. Field measurements traditionally applied to acquire inventory (e.g., basal area, tree volume, aboveground biomass) are labor intensive time consuming. To address this limitation, remote sensing technology has been widely in modeling efforts help estimate information. Among...

Abstract Leaf area index (LAI) was measured in summer and winter for the overstory understory 7- 10-year-old loblolly slash pine plantations on poorly drained, somewhat moderately well-drained soils. LAI vegetation indices (simple ratio [SR], normalized difference [NDVI], index, enhanced index) were also calculated using Landsat imagery. values observed low most of plots (around 2 m2 m−2 around 3 pine), whereas very high m−2), which can be attributed to lack canopy closure all plots. No...

Las funciones de perfil fustal y la distribución productos en Plantaciones Forestales Comerciales (PFC) es esencial para cuantificar valorar las existencias. El objetivo fue ajustar un sistema compatible ahusamiento-volumen comercial (d-Vc) PFC Eucalyptus urophylla Huimanguillo, Tabasco, México. Con información 175 árboles clones medidos 2007, 93 diferentes evaluados 2014, 459 provenientes semilla se estimaron los parámetros estadísticos simultáneamente mediante máxima verosimilitud. modelo...