Datasets › AL23
7. In-situ validation
GLORIA — Global Reflectance community dataset for Imaging and optical sensing of Aquatic environments
Multi-institution (Lehmann et al. 2023, Scientific Data)
Specification
- Code
AL23- Reliability
- D In-situ
- Variables delivered
- ~7,500 paired in-situ hyperspectral Rrs + chlorophyll + TSS + CDOM, incl. INLAND water
- Resolution
Point- Cadence
- Per sample
- Coverage
- 1980s → 2021
- Cost
- FREE
- Login required
- NONE
- Latency
- Static
- CSV direct?
- YES — CSV
Applicability by site
HIGH — train/validate a retrieval model on similar optical water types
HIGH — includes turbid inland waters
HIGH — includes hyper-eutrophic waters
Access
- Route
- Direct download (PANGAEA)
- Endpoint / asset ID
doi.pangaea.de → GLORIA- Pipeline step
- 6 Validate
- Documentation
- https://doi.org/10.1594/PANGAEA.948492
No automated route. This source is fetched manually:
(manual - PANGAEA).
What to watch for
VALIDATION STATUS
Peer-reviewed, open, community-curated
KNOWN LIMITATION
No Bangladesh samples specifically — but it lets you build an optically-similar training set, which is the next best thing.