Network panel

Algae Dataset

Every data hub, dataset, sensor, variable, paper and limitation in one tree — and for each: where it comes from, how far back it goes, how often it captures, why it belongs in a cholera study, and why it does not work everywhere.

Highlight site All three Chakaria HDSS Matlab HDSS Dhaka City Choosing a site greys out everything that does not apply there.

2. Inland/coastal high-res

AL18 · Sentinel-2 Level-1C + ACOLITE Dark Spectrum Fitting

ESA (data) + RBINS (processor)

B Usable FREE (both) ACCOUNT NEEDED

Source · duration · capture cadence

Data source: ESA (data) + RBINS (processor)
Access route: CDSE download + local ACOLITE run
Endpoint / asset: github.com/acolite/acolite
Duration: 2015-06 → present
Capture cadence: 5 days
Resolution: 10-20 m
Delivers: Publication-grade Rrs → NDCI, MCI, FAI, phycocyanin, TSM over turbid inland water
Command: 07_algae_api_download.py --sources cdse

Why it is used for cholera. DSF is the peer-reviewed standard for turbid inland/coastal water · used by Anas et al. 2021 at Vembanad

Why not — catalogue limitation. Requires local compute and disk (~1 GB per scene). Slow. But GEE's Sen2Cor L2A is NOT trustworthy over dark turbid water, so for any published concentration you need this.

Site applicability

Site	Verdict	Why
Chakaria HDSS	YES	THE RIGOROUS ROUTE for shrimp ponds
Matlab HDSS	YES	THE RIGOROUS ROUTE for village ponds
Dhaka City	YES	THE RIGOROUS ROUTE for urban lakes

Reliable · accessible · authentic

B Usable

Reliability tier

Accessible

ESA (data) + RBINS (processor)

Authentic — operator

Documentation: https://odnature.naturalsciences.be/remsem/software-and-data/acolite

Typed limitations (1)

HIGH ACOLITE is roughly 1 GB per scene and weeks of processing access

The rigorous route to real reflectance requires downloading L1C scenes and running Dark Spectrum Fitting locally. For a multi-year archive across three sites this is a serious computing commitment.

What to do: Do it AFTER the ordinal pipeline works end to end. Filter to under 20 percent cloud first, and consider reprocessing only the bloom-season scenes.