Course DescriptionThis course provides an overview of remote sensing data analysis. Remote sensing data is already being used to address development issues, i.e., revealing changes in soil quality or water availability, informing agricultural interventions, and even measuring poverty. In this course, we will cover basic principles of satellite imagery most popular techniques to work with it. Also, we will cover the application ranges of machine learning and computer vision on remote sensing data. As well as to get familiar with the theory of remote sensing, we will get hands-on experience in building computer vision models on satellite imagery.
- Python, Tensorflow, Keras, Numpy, QGIS
- Machine Learning basics, including deep learning frameworks (like Keras, PyTorch)