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:

https://earthengine.google.com/

If you have a @ucla.edu account:

• Choose "University of California, Los Angeles" from the drop down for "Identity Provider" and launch (just type "UCLA" in the search box).

If you have a @g.ucla.edu account:

• Choose "Google" and launch.

• UCLA JupyterHub

Warning: Launching the binder link will take about 5 minutes.