Landsat imagery of the 2020 Bobcat wildfire generated using Python
Satellites are circling our planet, allowing us to “sense” things about the Earth. It is the art and science of making measurements using sensors. Remote sensing has thus become a valuable tool in research and applications in a wide range of disciplines, such as engineering, geology, geography, urban planning, public health, archeology, environmental studies, disaster research, forestry, and agriculture.
In this workshop, you will:
- learn the basic principles of remote sensing methods in research
- have a hands-on session on using Jupyter Notebooks to code in Python
- import Landsat imagery using Google Earth Engine’s Python library
- conduct a basic NDVI (Normalized Difference Vegetation Index) analysis
While there are no prerequisites to take this workshop, participants are encouraged to come with a Google Earth Engine account, which can be obtained here: