Simulated chlorophyll-a concentrations for Mulargia reservoir using Quantile Regression Forests
0
Description
This dataset provides predicted chl-a concentrations at a specific point of interest of Lake Mulargia (Sardinia, Italy). Predictions are provided by a Quantile regression model trained on chl-a concentrations retrieved from multispectral satellite imagery. Training data cover the period 2015-2019.
Parameter: Chl-a (μg/l)
| Spatial resolution | Temporal resolution |
| Point measurement | Occasionally |
Temporal coverage
2015 – 2019
Links
Area of interest
Leave a Reply Cancel reply
You must be logged in to post a comment.
Contact info
Related Datasets
- Bottom-of-atmosphere reflectance for the DESIS hyperspectral sensor (Mulargia reservoir) – ATCOR products
- Hydrological forecasts for Mulargia reservoir (Exp02)
- Discrete In situ water quality measurements for Mulargia reservoir (grab samples)
- EO-derived total suspended matter depth for Mulargia and Flumendosa reservoirs using Sentinel 2
- EO-derived water temperature for Mulargia and Flumendosa reservoirs using Landsat 8
- EO-derived turbidity for Mulargia and Flumendosa reservoirs using Landsat 8