The increasing level of atmospheric carbon dioxide and its effects on our climate system has
become a global environment issue. The forest ecosystem is essential for the stability of …

Forest structure is a key driver of forest functional processes. The characterization of forest
structure across spatiotemporal scales is essential for forest monitoring and management …

This study assesses whether metrics extracted from airborne LiDAR (Light Detection and
Ranging) raw point cloud can be exploited to predict different forest structure types by …

This study reports progress in forest inventory methods involving the use of low density
airborne LiDAR data and an area-based approach (ABA). It also emphasizes the usefulness …

We investigated a strategy to improve predicting capacity of plot-scale above-ground
biomass (AGB) by fusion of LiDAR and Landsat5 TM derived biophysical variables for …

Este estudio presenta avances en la metodología de inventario forestal a nivel de masa
(area-based approach, ABA) con datos LiDAR aerotransportado de baja densidad y …

Aim of study: The study aimed to characterise variation in structural attributes of vegetation in
relation to variations in topographic position using LIDAR data over landscapes. Area of …

L'utilisation des données LiDAR aéroporté pour modéliser, caractériser et cartographier la
ressource forestière est effective depuis une dizaine d'années dans les pays d'Amérique du …

Abstract Light Detection and Ranging (LiDAR) has been used in a wide range of
applications including forestry. This study aims to investigate the potential use of airborne …

Tropical forests play a key role in global carbon cycle. Reducing Emissions from
Deforestation and forest Degradation (REDD+) program requires reliable mechanisms for …