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canVODpy: An Open Python Ecosystem for GNSS-Transmissometry Canopy VOD Retrievals

Authors: Bader, Nicolas François;

canVODpy: An Open Python Ecosystem for GNSS-Transmissometry Canopy VOD Retrievals

Abstract

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.

Related Organizations
Keywords

canopy, GNSS, Galileo, biomass, GPS, GNSS-T, VOD, SNR, SBF, vegetation optical depth, hemispheric grids, L-band, remote sensing, GNSS-Transmissometry, Vegetation Optical Depth, RINEX, geodesy, signal-to-noise ratio, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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