This GitHub repository contains Python code used for data analysis executed as a part of Msc thesis project.
Data analysis includes combination and reprojection of data, masking data, modelling results with SMAC and finally plotting the results. A dataset for creating masks is also provided.
It is recommended that conda forge Python package manager for module installation.
The files in this repository are named in accordance to the stages of analysis.
Step 1: Combining starting data Step 2: Creating Masks for data Step 3: Masking data Step 4: Modelling results with the Simple Model for Atmospheric Correction (SMAC) Step 5: Plotting results of data analysis
It is adviced to use gc.collect() function provided in the gc module for automatic memory management.
Minttu Pekkala
Contact info: [email protected]
This project is licensed under the MIT License - see the LICENSE.md file for details