Simulated chlorophyll-a concentrations for Lake Hume using Quantile Regression Forests
0
Description
This dataset provides predicted chl-a concentrations at four areas of interest of Lake Hume (New South Wales, Australia). 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 (Lake Hume) – Standard products
- Re-forecasts of chlorophyll-a concentrations for Lake Hume using Random Forests
- Radiance to the Top of the Atmosphere for the DESIS hyperspectral sensor (Lake Hume) -fsr
- EO-derived turbidity for Lake Hume using Sentinel 2
- Expired Meteorological Forecasts for Hume Lake (Exp03)
- EOInput Exp02 for Hume Lake