Data

Exported CSV

Every file here is produced by 12_download_all_free.py from free, openly licensed sources. The exports carry a uniform schema so files from different sensors and different sites can be stacked without reconciliation.

Nothing exported yet. Run the downloader on your own machine, then upload the CSVs into data/ on the server. This page lists whatever is physically present, so it will populate itself as soon as the files arrive.

cd 01_Scripts
python 12_download_all_free.py --all
# then upload 03_Data/free_exports/*.csv  →  public_html/data/
# and optionally import 03_Data/free_exports/downloads_manifest.sql in phpMyAdmin

Export schema

Every algae export uses the same columns, whichever sensor produced it. That is the whole point — five sensors, one schema, no reconciliation step.

date            YYYY-MM-DD
site            chakaria | matlab | dhaka
sensor          s2 | s3 | landsat | modis | ocean
res_m           native metres, so you can weight or filter by resolution
chl_index       site-average chlorophyll index for that sensor
ndci fai phyco turbidity      individual indices where the sensor supports them
bloom_frac      fraction of the water mask above the bloom threshold
water_px        water pixels the average was computed over   <- YOUR QC COLUMN
aoi_water_km2   water area observed
cloud_frac      fraction of the AOI lost to cloud on that pass
n_scenes        scenes contributing to that date

The filled daily panels add source_sensor, fill_method, observed and n_obs_28d — see Methods.

Licensing and citation

All underlying data is free and openly licensed. If you use these exports, cite the original providers, not this site:

Sentinel-2 / Sentinel-3 / Sentinel-1 — Copernicus Sentinel data, European Space Agency
Landsat 5/7/8/9 — USGS / NASA, courtesy of the U.S. Geological Survey
MODIS, SeaWiFS, VIIRS ocean colour — NASA Ocean Biology Processing Group (OB.DAAC)
ESA Ocean Colour CCI v6 — ESA Climate Change Initiative, Plymouth Marine Laboratory
Copernicus Marine (CMEMS) — E.U. Copernicus Marine Service Information
Earth Engine — Gorelick et al. 2017, Remote Sensing of Environment 202:18–27

Do not redistribute the derived indices as concentrations. They are ordinal indices unless explicitly calibrated. See Methods.