Python Python programm: estimating tree biomass using allometry A Python program for estimating above-ground biomass at a single tree level using allometric equations Random Forest classification Mapping species in Neukalen, Germany from 2020 to 2022 using Python based on Random Forest classifier and UAV multispectral images R Clustering land cover change trajectory Clustering land cover change trajectory using sequences analysis Classify forest tiles by LiDAR height metrics Study on clustering and classify forest tiles using height metrics calculated from LiDAR data Mapping forest biomass from mean top-of-canopy height The study aims to create a forest biomass map based on mean top-of-canopy height (TCH) raster model DSM from point cloud Tutorial for creating Digital Surface Model from LiDAR data in R Burn severity indices and forest post-fire assessment Comparison of burn severity indices and post-fire assessment of vegetation regeneration using Sentinel-2 Tree- and stand-level biomass from allometry, BCEFs Tree- and Stand- Level Biomass Estimation for Scots Pine in Poland with Allometric Equations, Biomass Conversion and Expansion Factors Tree attribute from point cloud Estimating individual tree attributes (tree height, DBH, and crown area) based on LiDAR data using R Metashape Metashape photogrammetry Metashape step-by-step tutorial for creating point clouds, orthomosaic, DEM and meshed model from arial images
