
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.
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
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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