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Remote-Sensing-and-Machine-Learning_for_Turb-and-Chl-a_modeling_Thesis

This repository shares the source code and databases necessary for the creation of Machine Learning algorithms for estimating turbidity and chlorophyll-a in the Bay of Cartagena. This material was used in the undergraduate thesis entitled "EVALUACIÓN DEL DESEMPEÑO DE ALGORITMOS DE TELEDETECCIÓN GENERADOS A PARTIR DE MACHINE LEARNING PARA LA DETERMINACIÓN DE TURBIDEZ Y CLOROFILA EN LA BAHÍA DE CARTAGENA (COLOMBIA)", in order to obtain the title of Civil Engineer

How to cite: Mercado, A., & Mercado, M. (2024). Evaluación del desempeño de algoritmos de teledetección generados a partir de machine learning para la determinación de turbidez y clorofila en la bahía de Cartagena (Colombia).

This project is developed in Python 3 and requires the following libraries:

  • pandas
  • matplotlib
  • numpy
  • scikit-learn

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Mercado, A., & Mercado, M. (2024)

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