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GEDIMetrics: a QGIS plugin for accessing and integrating multi-product GEDI spaceborne LiDAR data

GEDIMetrics: a QGIS plugin for accessing and integrating multi-product GEDI spaceborne LiDAR data

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Authors

Alexander Cotrina-Sanchez, Michele Torresani, Leonel Corado

Abstract

NASA's Global Ecosystem Dynamics Investigation (GEDI) provides near-global, high-resolution 3D LiDAR observations of forest vertical structure. However, GEDI products are distributed as independent HDF5 files organised by beam, requiring ad-hoc workflows for data discovery, quality filtering, spatial subsetting, and footprint-level alignment across products. Existing tools either target a single product, require programming expertise, or operate outside common GIS environments. Here, GEDIMetrics is presented as an open-source QGIS plugin that integrates the full GEDI processing chain for four products focused on forest vertical structure: canopy height (L2A), vertical canopy structure (L2B), aboveground biomass density (L4A), and waveform structural complexity (L4C). The plugin implements a five-stage pipeline: granule discovery via the NASA CMR API, authenticated download, variable extraction with quality filtering, spatial subsetting, and multi-product merging using the shot_number identifier, with export to GeoPackage and GeoParquet. Its core contribution is the automated footprint-level fusion of these products into a single analysis-ready dataset through a graphical interface, without scripting. GEDIMetrics was tested across two contrasting forest ecosystems (~100 km² each): a temperate mixed forest in northeastern France and a humid tropical rainforest in Madre de Dios, Peru. The plugin is freely available through the QGIS Plugin Repository and on GitHub.

DOI

https://doi.org/10.31223/X5M48D

Subjects

Databases and Information Systems, Environmental Monitoring, Forest Management, Geographic Information Sciences, Natural Resources and Conservation, Other Forestry and Forest Sciences, Remote Sensing, Spatial Science

Keywords

Earth observation, GEDI, GIS, Forest structure, Remote sensing, Waveform lidar

Dates

Published: 2026-05-18 12:36

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare that they have no competing interests

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