Environmental Analytics Lab
Overview
The USRA Environmental Analytics Lab is conducting research and education in air quality and health impact models, atmospheric sciences and aerosol sciences in Earth and Space environments. The focus of the lab is on developing new approaches for studying various hazards and natural disasters, such as flood modeling.
Introduction to Environmental Data Science Course
This course teaches fundamentals of reproducible data science and analytic, probabilistic reasoning & statistical inference, and machine learning to leverage data generated within the large scope of Earth sciences. NASA’s GEONEX data will be used in combination with precipitation and wildfire datasets, and USGS’s streamflow data to build case studies throughout the course around applications of interest in predictive models for wildfire detection, precipitation classification, and streamflow estimation.
The course will be taught in two phases:
- Lecture and discussion on the topic of interest
- Lab, with implementation of the methods learned on the real-world data using Python in Jupyter Notebook.
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Pre-Requisites
- Linear Algebra
- Basics of Python Programming