Detection algorithm for oceanographic data (specifically chlorophyl / temperature but can be used for others)
Original pseudo-code: Belkin, I.M., O’Reilly, J.E., 2009. An algorithm for oceanic front detection in chlorophyll and SST satellite imagery. Journal of Marine Systems, Special Issue on Observational Studies of Oceanic Fronts 78, 319–326_ DOI.
Transcription of the work from: Lin et al. (2019) - Matlab, Lin, L., Liu, D., Luo, C., Xie, L., 2019. Double fronts in the Yellow Sea in summertime identified using sea surface temperature data of multi-scale ultra-high resolution analysis. Continental Shelf Research 175, 76–86. DOI. Ben Galuardi, boaR - R package DOI
Additions: Generalized contextual filter, rolling percentile selection, morphological thinning for single lines.
What to get: The sample netcdf file, the stnd_alone file, and pyBOA.py.
Important This works as an extension of the xarray packages and was built under python 3.9 Currently under liscence GNU General Public License, see Zenodo. See proper citation and attribution in cff file and zenodo.json.