Remote sensing technologies for enhancing forest inventories: A review
Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …
increasingly complex set of economic, environmental, and social policy objectives …
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
[HTML][HTML] On the importance of training data sample selection in random forest image classification: A case study in peatland ecosystem mapping
K Millard, M Richardson - Remote sensing, 2015 - mdpi.com
Random Forest (RF) is a widely used algorithm for classification of remotely sensed data.
Through a case study in peatland classification using LiDAR derivatives, we present an …
Through a case study in peatland classification using LiDAR derivatives, we present an …
Trends in automatic individual tree crown detection and delineation—Evolution of LiDAR data
Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …
data plays an increasingly significant role in efficiently, accurately, and completely …
Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
Estimates of forest biomass are needed for various technical and scientific applications,
ranging from carbon and bioenergy policies to sustainable forest management. As local …
ranging from carbon and bioenergy policies to sustainable forest management. As local …
Imputation of Individual Longleaf Pine (Pinus palustris Mill.) Tree Attributes from Field and LiDAR Data
Abstract Light Detection and Ranging (LiDAR) has demonstrated potential for forest
inventory at the individual-tree level. The aim in this study was to predict individual-tree …
inventory at the individual-tree level. The aim in this study was to predict individual-tree …
Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes: A review
The study of mass and energy transfer across landscapes has recently evolved to
comprehensive considerations acknowledging the role of biota and humans as geomorphic …
comprehensive considerations acknowledging the role of biota and humans as geomorphic …
[HTML][HTML] An international comparison of individual tree detection and extraction using airborne laser scanning
The objective of the “Tree Extraction” project organized by EuroSDR (European Spatial data
Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was …
Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was …
Forest biomass estimation from airborne LiDAR data using machine learning approaches
CJ Gleason, J Im - Remote Sensing of Environment, 2012 - Elsevier
During the past decade, procedures for forest biomass quantification from light detection and
ranging (LiDAR) data have been improved at a rapid pace. The scope of these methods …
ranging (LiDAR) data have been improved at a rapid pace. The scope of these methods …