Tick Tick Bloom: Harmful Algal Bloom Detection Challenge

This repo comes after author's participation in NASA's machine learning competition for cyanobacterial algal bloom severity classification.

General

Problem statement: use satellite imagery to detect and classify the severity of cyanobacteria blooms in small, inland water bodies.
Type: Ordinal regression
Host: NASA
Platform: Drivendata
Competition link: https://www.drivendata.org/competitions/143/tick-tick-bloom/
Placement: Top 1% (5/1377)
User Name: Ouranos

Training and inference pipeline below is a simplified version ranked 6th scoring 0.811 on private LB instead of author's best 5th place.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
assets		assets
.gitignore		.gitignore
Readme.md		Readme.md
download_DEM_PlanetaryComputer.ipynb		download_DEM_PlanetaryComputer.ipynb
download_clima_noaahrrr.ipynb		download_clima_noaahrrr.ipynb
download_satellite_EarthEngine.ipynb		download_satellite_EarthEngine.ipynb
download_satellite_PlanetaryComputer.ipynb		download_satellite_PlanetaryComputer.ipynb
lgbmNN_ee_gkf_S_v42g.ipynb		lgbmNN_ee_gkf_S_v42g.ipynb
make_datasets.ipynb		make_datasets.ipynb