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rotorua_chl_fields_2015-2020.nc is a time series of 283 Chl fields of 13 of the lakes derived from Sentinel-2 MSI images with a regionalised parametrization of the C2RCC algorithm at 60 m pixel resolution. It also includes C2RCC and Idepix masks as well as a shoreline-and-shallow-water-buffer for flexible quality flagging. rotorua_chl_spatial_variability.tif is a GeoTIFF that illustrates the representativeness of each grid cell for the Chl distribution in each lake and thus indicates recurring spatial patterns. The file contains three bands. Each band shows the relative frequency (in %) which Chl concentration was found near the median, or upper or lower quartile, respectively. The intervals around the median and quartiles are 5% to either side. rotorua_insitu_chl_2015-2019.csv contains 831 in situ Chl measurements from 12 of the lakes collected between 2015 and 2019. The majority of these measurements (802) have been taken as part of the monthly Bay of Plenty lake water quality monitoring programme, in which 11 lakes are monitored. The data set also contains samples from field work under the Eye on Lakes project (University of Waikato) obtained by one of the authors (MKL). These 29 samples also include two measurements at Lake Rotokakahi, which is not part of the monthly monitoring program. shoreline_shallow_water_buffer.zip contains a shapefile with polygons of the valid water pixels of all lakes to remove areas contaminated by bottom reflectance in remote sensing products. Each lake has a 120 m shoreline buffer to avoid mixed land-water pixels to reduce adjacency effects. It further excludes lake areas shallower than the 95%-quantile of all Secchi depth measurements of the Bay of Plenty lake water quality monitoring programme.
remote sensing, monitoring, lakes, chlorophyll, spatial variability, C2RCC, water quality
remote sensing, monitoring, lakes, chlorophyll, spatial variability, C2RCC, water quality
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