Chlorophyll-a level data update from seawifs images using Landsat-7 data
DOI:
https://doi.org/10.5821/iwp.2024.23.14144Abstract
The current lack of continuous and temporal monitoring of Chlorophyll- a in certain regions is evident. There are some platforms that collected this data in the past, without current update. For this reason, a model based on a Random Forest classification was trained using the limnological classification based on chlorophyll- a concentration from SeaWiFS data and extrapolated to Landsat-7. The model achieved an accuracy of 62.29% with a moderate kappa coefficient. This approach allowed the development of a well-performing model capable of efficiently monitoring and updating chlorophyll-a data in a region lacking in-situ sensors for this variable.
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