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.
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Chakaria HDSS
Matlab HDSS
Dhaka City
Choosing a site greys out everything that does not apply there.
- +DATA HUBSwhere the data physically comes from
- +DATASET TYPESgrouped by what kind of water they see
- +SITE-WISEwhat actually applies at each site
- +DURATION & CAPTURE CADENCEdaily · weekly · 10-day · 16-day · monthly
- +VARIABLESwhat is computed from the bands
- −LIMITATIONSwhy not — typed and severity-ranked
- +VALIDATION2 limitations · 1 critical
- +ACCESS6 limitations · 4 critical
- +SPATIAL6 limitations · 3 critical
- −TEMPORAL7 limitations · 2 critical
- ·Record starts mid-2015 - two-thirds of the study window i…CRITICALdataset AL03
- ·OCTS and CZCS predate the study periodCRITICALdataset AL21
- ·The 2015 sensor discontinuityHIGHstudy level
- ·16-day revisit misses short blooms entirelyHIGHdataset AL05
- ·Mission ended December 2010HIGHdataset AL07
- ·Monthly cadence cannot resolve a two-week bloomMEDIUMdataset AL01
- ·PACE launched 2024 - a very short recordMEDIUMdataset AL15
- +ALGORITHMIC3 limitations · 1 critical
- +COVERAGE6 limitations · 1 critical
- +ATMOSPHERIC1 limitations
- +SPECTRAL2 limitations
- +PAPERSthe evidence, DOI-linked
HIGH The 2015 sensor discontinuity temporal
Sentinel-2 begins mid-2015 and Sentinel-3 late 2016. Before that you have Landsat at 16 days and MODIS at 250 m. Blending sensors without correction creates a step change in 2015 that a model will read as a trend - a completely artefactual one.
What to do: 11_algae_daily_fill.py regresses every sensor onto a reference on same-day overlaps and writes the coefficients to algae_daily_bias_coeffs.csv. Any pair with fewer than 20 overlaps is left UNCORRECTED and flagged rather than silently fudged.