A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI

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A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI

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# A machine learning approach for monitoring Brazilian optical water types using Sentinel 2-MSI
 
This project contains almost all the necessary steps and database used in the study to be published. Notice that steps from 5 to 9 the database here in GitHub is not available due to the large file size of satellite images. For reproducing the entire study, you should download the appendix data available in the publication.

# Summary
[01 Plot OWTs](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/01_Plot%20OWTs.ipynb)
 
[02 SVM cross validation](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/02_SVM%20cross%20validation.ipynb)
 
[03 Evaluation of algorithm noise sensitivity](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/03_SVM%20noise%20sensitivity.ipynb)
 
[04 Train classification algorithm](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/04_Train%20classification%20algorithm.ipynb)
 
[05 Define probability thresholds of novelty detection](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/05_Define%20probability%20thresholds%20of%20novelty%20detection.ipynb)
 
[06 Satellite and in situ match up of Rrs](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/06_Satellite%20and%20in%20situ%20match%20up%20of%20Rrs.ipynb)
 
[07 Image Classification](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/07_Image%20Classification.ipynb)
 
[08 ECP novelty evaluation](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/08_ECP%20novelty%20evaluation.ipynb)
 
[09 Funil owt frequency](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/09_Funil%20owt%20frequency.ipynb)
 
[10 Curuai owt frequency](https://github.com/edsonfreirefs/A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI/blob/main/10_Curuai%20owt%20frequency.ipynb)

A-machine-learning-approach-for-monitoring-Brazilian-optical-water-types-using-Sentinel-2-MSI

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