canVODpy: An Open Python Ecosystem for GNSS-Transmissometry Canopy VOD Retrievals
Authors/Creators
- 1. TU Wien, Department of Geodesy and Geoinformation, Climate and Environmental Remote Sensing CLIMERS Research Unit
Description
canVODpy is the central community-driven software suite for GNSS-Transmissometry (GNSS-T), providing the core ecosystem for deriving and analyzing canopy Vegetation Optical Depth (VOD) from GNSS signal-to-noise ratio (SNR) observations.
The package provides modular sub-packages for RINEX and SBF data reading, auxiliary data handling (SP3/CLK and broadcast ephemeris), hemispheric grid operations, Icechunk-based versioned storage, visualization, and VOD calculation algorithms, all tied together by Pydantic-validated configuration and a pipeline orchestrator.
VOD is a proxy for vegetation biomass and fuel moisture content derived from L-band microwave signals that penetrate the entire canopy — invaluable for monitoring forest health, carbon stocks, and drought stress.
Files
nfb2021/canvodpy-v0.3.0.zip
Files
(21.0 MB)
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Additional details
Related works
- Is documented by
- Software: https://github.com/nfb2021/canvodpy-demo (URL)
- Is supplemented by
- Software: https://github.com/nfb2021/canvodpy-test-data (URL)
Software
- Repository URL
- https://github.com/nfb2021/canvodpy