scholarly journals Estimation of Total Biomass in Aleppo Pine Forest Stands Applying Parametric and Nonparametric Methods to Low-Density Airborne Laser Scanning Data

Forests ◽  
2018 ◽  
Vol 9 (4) ◽  
pp. 158 ◽  
Author(s):  
Darío Domingo ◽  
María Lamelas ◽  
Antonio Montealegre ◽  
Alberto García-Martín ◽  
Juan de la Riva
Keyword(s):  
Laser Scanning ◽  
Nonparametric Methods ◽  
Pine Forest ◽  
Airborne Laser Scanning ◽  
Aleppo Pine ◽  
Total Biomass ◽  
Low Density ◽  
Forest Stands ◽  
Airborne Laser

scholarly journals Comparison of regression models to estimate biomass losses and CO2 emissions using low-density airborne laser scanning data in a burnt Aleppo pine forest

2017 ◽  
Vol 50 (1) ◽  
pp. 384-396 ◽  
Author(s):  
Darío Domingo ◽  
María Teresa Lamelas-Gracia ◽  
Antonio Luis Montealegre-Gracia ◽  
Juan de la Riva-Fernández
Keyword(s):  
Co2 Emissions ◽  
Regression Models ◽  
Laser Scanning ◽  
Pine Forest ◽  
Airborne Laser Scanning ◽  
Aleppo Pine ◽  
Low Density ◽  
Airborne Laser

Using low-density discrete Airborne Laser Scanning data to assess the potential carbon dioxide emission in case of a fire event in a Mediterranean pine forest

2017 ◽  
Vol 54 (5) ◽  
pp. 721-740 ◽  
Author(s):  
Antonio Luis Montealegre-Gracia ◽  
María Teresa Lamelas-Gracia ◽  
Alberto García-Martín ◽  
Juan de la Riva-Fernández ◽  
Francisco Escribano-Bernal
Keyword(s):  
Carbon Dioxide ◽  
Laser Scanning ◽  
Carbon Dioxide Emission ◽  
Pine Forest ◽  
Airborne Laser Scanning ◽  
Low Density ◽  
Fire Event ◽  
Airborne Laser ◽  
Mediterranean Pine ◽  
Potential Carbon

scholarly journals Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data

2019 ◽  
Vol 11 (3) ◽  
pp. 261 ◽  
Author(s):  
Darío Domingo ◽  
Rafael Alonso ◽  
María Teresa Lamelas ◽  
Antonio Luis Montealegre ◽  
Francisco Rodríguez ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Growth Models ◽  
Model Performance ◽  
Basal Area ◽  
Stand Density ◽  
Airborne Laser Scanning ◽  
Support Vector ◽  
Low Density ◽  
Airborne Laser ◽  
Forest Attributes

This study assesses model temporal transferability using airborne laser scanning (ALS) data acquired over two different dates. Seven forest attributes (i.e. stand density, basal area, squared mean diameter, dominant diameter, tree dominant height, timber volume, and total tree biomass) were estimated using an area-based approach in Mediterranean Aleppo pine forests. Low-density ALS data were acquired in 2011 and 2016 while 147 forest inventory plots were measured in 2013, 2014, and 2016. Single-tree growth models were used to generate concomitant field data for 2011 and 2016. A comparison of five selection techniques and five regression methods were performed to regress field observations against ALS metrics. The selection of the best regression models fitted for each stand attribute, and separately for both 2011 and 2016, was performed following an indirect approach. Model performance and temporal transferability were analyzed by extrapolating the best fitted models from 2011 to 2016 and inversely from 2016 to 2011 using the direct approach. Non-parametric support vector machine with radial kernel was the best regression method with average relative % root mean square error differences of 2.13% for 2011 models and 1.58% for 2016 ones.

scholarly journals Determining basic forest stand characteristics using airborne laser scanning in mixed forest stands of Central Europe

2018 ◽  
Vol 11 (1) ◽  
pp. 181-188 ◽  
Author(s):  
R Smreček ◽  
Z Michnová ◽  
I Sačkov ◽  
Z Danihelová ◽  
M Levická ◽  
...  
Keyword(s):  
Central Europe ◽  
Laser Scanning ◽  
Mixed Forest ◽  
Forest Stand ◽  
Airborne Laser Scanning ◽  
Forest Stands ◽  
Airborne Laser ◽  
Stand Characteristics

scholarly journals Comparison of Airborne Laser Scanning (3D) with Sentinel-2 (2D) for Estimating Above Ground Biomass/Carbon Stock in a Subtropical Chir Pine Forest of Balakot, Pakistan

2021 ◽  
Author(s):  
Sami Ullah ◽  
Tahir Saeed ◽  
Muhammad Shafique ◽  
Muhammad Saad ◽  
Adnan Khan
Keyword(s):  
Carbon Stock ◽  
Laser Scanning ◽  
Forest Ecosystems ◽  
Pine Forest ◽  
Airborne Laser Scanning ◽  
Biomass Carbon ◽  
Above Ground Biomass ◽  
Airborne Laser ◽  
Chir Pine ◽  
Sentinel 2

Abstract Forest ecosystems act as a sink of atmospheric carbon dioxide in the form of biomass, and plays one of the crucial role for carbon sequestration and in regulating the global carbon cycle. Few studies based on ground sample plots were conducted for estimating forest biomass/carbon stock across Pakistan. This study comparing the first time the potential of three dimensional (3D) airborne laser scanning (ALS) with two dimensional (2D) Sentinel-2 to estimate above-ground biomass/carbon stock (AGB/C) in a Subtropical Chir Pine forest of Balakot, Pakistan. We derived height and density metrics from the ALS canopy height model (CHM), and different metrics from Sentinel-2 images, and were regressed with field measured AGB/C at sample plots locations. We found R2 = 0.86 with RMSE% = 25.70, and R2 = 0.62 with RMSE% = 43.92 for ALS and for Sentinel-2 respectively with ground measured AGB/C at sample plots locations. Our study demonstrated that 3D ALS technology has greater potential and is the most accurate option as compared to 2D Sentinel-2 for regular planning and monitoring of AGB/C in the context of the national forest inventory of Pakistan. Our study will be useful for the accomplishment of the REDD+ in measuring, reporting, and verification of forest resources, and future sustainable utilization of forest, safeguarding the livelihoods of forest-dependent people, and reducing pressure on forest ecosystems.

scholarly journals Airborne laser scanning and tree crown fragmentation metrics for the assessment of Phytophthora ramorum infected larch forest stands

2017 ◽  
Vol 404 ◽  
pp. 294-305 ◽  
Author(s):  
Chloe Barnes ◽  
Heiko Balzter ◽  
Kirsten Barrett ◽  
James Eddy ◽  
Sam Milner ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Phytophthora Ramorum ◽  
Airborne Laser Scanning ◽  
Larch Forest ◽  
Forest Stands ◽  
Tree Crown ◽  
Airborne Laser

scholarly journals COMPARISON OF HIGH AND LOW DENSITY AIRBORNE LIDAR DATA FOR FOREST ROAD QUALITY ASSESSMENT

2016 ◽  
Vol III-8 ◽  
pp. 167-172
Author(s):  
K. Kiss ◽  
J. Malinen ◽  
T. Tokola
Keyword(s):  
Laser Scanning ◽  
High Density ◽  
Road Surface ◽  
Airborne Laser Scanning ◽  
Low Density ◽  
Surface Wear ◽  
Forest Roads ◽  
Density Data ◽  
The Road ◽  
Airborne Laser

Good quality forest roads are important for forest management. Airborne laser scanning data can help create automatized road quality detection, thus avoiding field visits. Two different pulse density datasets have been used to assess road quality: high-density airborne laser scanning data from Kiihtelysvaara and low-density data from Tuusniemi, Finland. The field inventory mainly focused on the surface wear condition, structural condition, flatness, road side vegetation and drying of the road. Observations were divided into poor, satisfactory and good categories based on the current Finnish quality standards used for forest roads. Digital Elevation Models were derived from the laser point cloud, and indices were calculated to determine road quality. The calculated indices assessed the topographic differences on the road surface and road sides. The topographic position index works well in flat terrain only, while the standardized elevation index described the road surface better if the differences are bigger. Both indices require at least a 1 metre resolution. High-density data is necessary for analysis of the road surface, and the indices relate mostly to the surface wear and flatness. The classification was more precise (31–92%) than on low-density data (25–40%). However, ditch detection and classification can be carried out using the sparse dataset as well (with a success rate of 69%). The use of airborne laser scanning data can provide quality information on forest roads.

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