Objective: This study aims to evaluate the accuracy of different modeling methods and tree structural parameters extracted from airborne LiDAR for estimating carbon emissions reduction and assess their reliability as Certified Emission Reduction (CER) assessment techniques.Methods: LiDAR data was collected from an afforestation project in Beijing, China. Various modeling methods, including statistical regression and machine learning algorithms, were used to estimate biomass and carbon emissions reduction. The models were evaluated under two schemes: tree-species-specific modeling scheme (Scheme 1) and all-sample modeling scheme (Scheme 2) using cross-validation and compared with ground-based estimations and pre-estimated emission reductions...
Forest ecosystems are a significant faction of the Earth’s landscape, and accurate estimates of fore...
Small-footprint, discrete return airborne laser scanning (ALS or lidar) data is increasingly being u...
The use of light detection and ranging (LiDAR) techniques for recording and analyzing tree and fores...
This study developed an IPCC (Intergovernmental Panel on Climate Change) compliant method for the es...
In response to the need for a better understanding of biosphere-atmosphere interactions as well as c...
Timely, accurate estimates of forest aboveground carbon density (AGC) are essential for understandin...
During the past decade, procedures for forest biomass quantification from light detection and rangin...
The Province of British Columbia is developing a suite of attributes to assess and monitor forest su...
Sound policy recommendations relating to the role of forest management in mitigating atmospheric car...
ABSTRACT: Forest ecosystems play a very important role in carbon cycle because they suppose one of t...
The subtropical forest biome accounts for approximately a quarter of the area of China and is partic...
Harvested timber and constructed infrastructure over the logging area leave massive damage that cont...
Abstract Airborne light detection and ranging (LiDAR) is fast turning the corner from demonstration ...
<p>This repository contains the dataset presented in Parkan et al. (2018).</p> <p>Abstract:</p> <p...
Predicting and mapping the spatial distribution of woody biomass is a prerequisite for a continuous ...
Forest ecosystems are a significant faction of the Earth’s landscape, and accurate estimates of fore...
Small-footprint, discrete return airborne laser scanning (ALS or lidar) data is increasingly being u...
The use of light detection and ranging (LiDAR) techniques for recording and analyzing tree and fores...
This study developed an IPCC (Intergovernmental Panel on Climate Change) compliant method for the es...
In response to the need for a better understanding of biosphere-atmosphere interactions as well as c...
Timely, accurate estimates of forest aboveground carbon density (AGC) are essential for understandin...
During the past decade, procedures for forest biomass quantification from light detection and rangin...
The Province of British Columbia is developing a suite of attributes to assess and monitor forest su...
Sound policy recommendations relating to the role of forest management in mitigating atmospheric car...
ABSTRACT: Forest ecosystems play a very important role in carbon cycle because they suppose one of t...
The subtropical forest biome accounts for approximately a quarter of the area of China and is partic...
Harvested timber and constructed infrastructure over the logging area leave massive damage that cont...
Abstract Airborne light detection and ranging (LiDAR) is fast turning the corner from demonstration ...
<p>This repository contains the dataset presented in Parkan et al. (2018).</p> <p>Abstract:</p> <p...
Predicting and mapping the spatial distribution of woody biomass is a prerequisite for a continuous ...
Forest ecosystems are a significant faction of the Earth’s landscape, and accurate estimates of fore...
Small-footprint, discrete return airborne laser scanning (ALS or lidar) data is increasingly being u...
The use of light detection and ranging (LiDAR) techniques for recording and analyzing tree and fores...