SatHDSS
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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.

7. In-situ validation

AL23 · GLORIA — Global Reflectance community dataset for Imaging and optical sensing of Aquatic environments
Multi-institution (Lehmann et al. 2023, Scientific Data)
D In-situ FREE NO ACCOUNT

Source · duration · capture cadence

Data source
Multi-institution (Lehmann et al. 2023, Scientific Data)
Access route
Direct download (PANGAEA)
Endpoint / asset
doi.pangaea.de → GLORIA
Duration
1980s → 2021
Capture cadence
Per sample
Resolution
Point
Delivers
~7,500 paired in-situ hyperspectral Rrs + chlorophyll + TSS + CDOM, incl. INLAND water
Command
(manual - PANGAEA)
Why it is used for cholera. Peer-reviewed, open, community-curated
Why not — catalogue limitation. No Bangladesh samples specifically — but it lets you build an optically-similar training set, which is the next best thing.

Site applicability

SiteVerdictWhy
Chakaria HDSS YES HIGH — train/validate a retrieval model on similar optical water types
Matlab HDSS YES HIGH — includes turbid inland waters
Dhaka City YES HIGH — includes hyper-eutrophic waters

Reliable · accessible · authentic

D In-situ
Reliability tier
OPEN
Accessible
Multi-institution (Lehmann et al. 2023, Scientific Data)
Authentic — operator
Documentation: https://doi.org/10.1594/PANGAEA.948492
Full dataset page →