Remote Sensing Tree Height Estimation
A complete workflow for estimating forest tree height from LiDAR point clouds or multi-source remote sensing imagery using QGIS and Python.
The most powerful open-source desktop GIS, supporting almost every geographic data format.
QGIS (Quantum GIS) is the world's most widely used open-source GIS software, offering map-making, spatial analysis and data editing capabilities comparable to ArcGIS. It supports 200+ data formats, includes the GRASS and SAGA algorithm libraries, and can be extended with plugins.
Alternative to: ArcGIS Desktop / ArcGIS Pro
Use cases: GIS mapping, spatial analysis, remote sensing image processing, land use analysis
A complete workflow for estimating forest tree height from LiDAR point clouds or multi-source remote sensing imagery using QGIS and Python.
A GIS mapping workflow from organising spatial data and unifying projections to producing thematic maps and publication-ready layouts.
A workflow for preprocessing, building training samples, classifying and assessing accuracy for Sentinel, Landsat or drone imagery.
A workflow from drone photos to orthophotos, point clouds, DEM/DSM and basic terrain or vegetation analysis.