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A machine learning approach to soil moisture estimation using NASA's CYGNSS data.

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SpecializationProject

This repository contains the code for the specialization project of Mads Rindal and Vegard Haneberg at NTNU.

An investigation of the use of CYGNSS GNSS-R data to estimate soil moisture is conducted. This includes a machine learning approach to soil moisture prediction using automated Ml.

The files are not executable directly, but are shown here to demonstrate the programmed work.

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A machine learning approach to soil moisture estimation using NASA's CYGNSS data.

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