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Integrating LiDAR, Multispectral and SAR Data to Estimate and Map Canopy Height in Tropical Forests
ALOS-PALSAR dry tropical forest Landsat-8 learning algorithms moist tropical forest Sentinel-1 spatial modelling
2024/1/22
Developing accurate methods to map vegetation structure in tropical forests is essential to protect their biodiversity and improve their carbon stock estimation. We integrated LIDAR (Light Detection a...
Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection
Airborne LiDAR Landsat-8 tropical forest canopy height aboveground biomass Congo Basin Forest
2023/12/19
Inventories of tropical forest aboveground biomass (AGB) are often imprecise and sparse. Increasingly,?airborne?Light Detection And Ranging (LiDAR) and satellite optical wavelength sensor data are use...
An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height
forest up-scaling regression kriging uncertainty LiDAR
2023/12/1
Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest manage...
Unmanned?aerial?vehicles (UAV)-based canopy height modeling under leaf-on and leaf-off conditions for determining tree height and crown diameter (case study: Hyrcanian mixed?forest)
canopy height model digital elevation model forest inventory unmanned aerial vehicles (UAVs) tree crown architecture
2023/12/1
Tree height and crown diameter are two common individual tree attributes that can be estimated from unmanned aerial vehicle (UAV) images thanks to photogrammetry and structure from motion. This resear...
A COMPARISON OF OBJECT-BASED AND PIXEL-BASED APPROACHES TO ESTIMATE LIDAR-MEASURED FOREST CANOPY HEIGHT USING QUICKBIRD IMAGERY
Canopy height Geographic object-based image analysis
2015/11/16
Canopy surface height (CSH) is a significant forest biophysical parameter to estimate above-ground biomass and carbon content.
High- spatial resolution optical remotely sensed data have shown promis...