SatHDSS
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.

Site

Dhaka City
Urban inland · 23.78660 N, 90.42350 E · 17.6 x 26.0 km · 300 km to the Bay of Bengal
Water bodies
Hatirjheel, Gulshan/Banani/Dhanmondi/Ramna/Crescent lakes · Buriganga, Turag, Balu, Shitalakshya rivers · Tongi Khal · thousands of ponds
Trophic state
Hyper-eutrophic. Heavy untreated sewage and industrial load. Dense, persistent cyanobacterial blooms.
Algae regime
LOCAL eutrophic blooms dominate. Coastal plankton intrusion is essentially irrelevant at this distance.
Ocean colour
REGIONAL FORCING ONLY — reg_ prefix
9
datasets apply
6
partial
11
not applicable

What works here

DatasetCadenceDurationResWhy
AL03 Sentinel-2 MSI Level-2A (harmonised) 5 days (2-3 d with S2C … 2015-06 (L1C) / 2017-03 (L2A)→present 10 m (B2,3,4,8) / 20 m (B5 red-edge 705 nm) HIGHEST VALUE — the ONLY sensor that sees Hatirjheel, Gulshan Lake and the Buriganga
AL05 Landsat 5 / 7 / 8 / 9 Collection 2 Leve… 16 days per satellite (… 1984 (L5) / 1999 (L7) / 2013 (L8→present 30 m ESSENTIAL for 2000-2015
AL14 Harmonized Landsat Sentinel-2 (HLS) v2.0 2-3 days combined 2013 (L30) / 2015 (S30)→present 30 m HIGH
AL18 Sentinel-2 Level-1C + ACOLITE Dark Spec… 5 days 2015-06→present 10-20 m THE RIGOROUS ROUTE for urban lakes
AL19 GEE Sen2Cor L2A NDCI → chlorophyll poly… 5 days 2017-03→present 10-20 m SCREENING ONLY
AL20 Landsat green/blue chlorophyll proxy (2… 16 days 1984→present 30 m USE WITH EXPLICIT CAVEAT
AL22 SeaBASS — NASA bio-Optical Archive and … Per cruise/campaign 1980s→present Point Unlikely
AL23 GLORIA — Global Reflectance community d… Per sample 1980s→2021 Point HIGH — includes hyper-eutrophic waters
AL24 LIMNADES — LIMnology and remote sensing… Per sample 1980s→present Point HIGH — the largest phycocyanin in-situ archive · essential if you pursue cyanobacteria

What does NOT work here — and why

DatasetReason
AL15 PACE OCI — hyperspectral 380-900 nm at … NOT APPLICABLE
AL01 ESA Ocean Colour CCI v6.0 — merged mult… NOT APPLICABLE — 4 km, 300 km inland
AL02 Copernicus Marine GlobColour — L4 gap-f… NOT APPLICABLE
AL11 Copernicus CDS — Satellite Ocean Colour… NOT APPLICABLE
AL06 MODIS-Aqua Level-3 SMI NOT APPLICABLE
AL07 SeaWiFS Level-3 SMI NOT APPLICABLE
AL08 VIIRS SNPP / NOAA-20 chlorophyll (NOAA … NOT APPLICABLE
AL13 MODIS-Terra Level-3 SMI NOT APPLICABLE
AL21 OCTS / CZCS historical ocean colour NOT APPLICABLE
AL16 MODIS MOD09GA/GQ daily surface reflecta… NOT APPLICABLE — every Dhaka water body is sub-250 m
AL12 CMEMS Global Ocean Biogeochemistry Rean… NOT APPLICABLE

Site-specific problems

CRITICAL Dhaka has almost no pre-2015 algae observation coverage blocks Dhaka

Every Dhaka water body is below 250 m, so MODIS and Sentinel-3 are both unusable. Landsat at 16 days is the only option before 2015, giving roughly 5 percent of days observed - a daily series for 2000-2014 would be about 95 percent invented.

What to do: Model the pre-2015 Dhaka era MONTHLY, or restrict the daily analysis to 2017 onward. Always report the sensitivity analysis restricted to fill_method equals observed.

MEDIUM Dhaka polygon is a GADM level-3 unit labelled Tejgaon coverage blocks Dhaka

Dhaka_City.shp has NAME_3 = 'Tejgaon' but an extent of 17.6 x 26.0 km, which is city-scale rather than thana-scale. It works fine as a city AOI, but the label is misleading.

What to do: Describe it in the manuscript as a Dhaka city bounding polygon with the extent stated - not as Tejgaon thana.