2024-09-30
Version description of the v4.7.1 release of SlideRule Earth.
Bathy Version #4.
ATL24 Changes¶
v4.7.1 - Fixed default for parameter
threshin C-Shelph.v4.7.1 - Fixed calculation of
min_surface_photons_per_windowandmin_bathy_photons_per_windowin OpenOceans++v4.7.1 - Updated models to latest for QTrees, CoastNet, and Ensemble
v4.7.1 - Implemented use of
geoid_corr_hfor all classifiers except for the Ensemble. The Ensemble will be updated once it is retrained on the latest round of test results that incorporate thegeoid_corr_hfield. Previously, all classifiers were using non-refraction corrected height, but the ensemble was being trained using the refraction corrected height. Also, any post-test-run validation of the results only had the refraction corrected heights in the output. So thegeoid_corr_hfield was added so that it can clearly represent non-refraction corrected heights, whileortho_hincludes the refraction correction (and any future corrections we might add).v4.7.1 - QTrees, CoastNet, and OpenOceans++ have been updated with the latest code and are now compiled in as header only libraries.
v4.7.1 - MedianFilter and C-Shelph are pulled directly from the ut-ATL24-medianfilter and ut-ATL24-C-shelph repositories
v4.7.1 - Version information is included in for all external classifiers (CoastNet, QTrees, OpenOceans++, MedianFilter, C-Shelph)
v4.7.1 - Metadata is now provided inside the Parquet and HDF5 files instead of as separate json files.
v4.7.1 - Uncertainty calculation fixed (migration from python to C and the update to a linear model introduced a few regressions)
Known Issues and Remaining Tasks¶
v4.7.1 - Current ensemble model is trained on refraction corrected heights though the inputs are not corrected
v4.7.1 - Pointnet is identifying very low rates of bathymetry with respect to the other classifiers - we are still working through possible causes
Development Updates¶
v4.7.1 - The ATL03 photons are stored in a table in memory and operated on in place instead of streamed
v4.7.1 - The Python classifiers are all executed from a single Python script that uses multiprocessing instead of having the data transferred to and from disk
Getting This Release¶
https://