"A review of LandTrendr’s capabilities, an overview of how to interpret outputs from LandTrendr, and a hands-on LandTrendr exercise"

The Google Earth Engine (GEE) implementation of LandTrendr enables users to analyze land cover dynamics, including short-term disturbances and long-term trends. This session will include a review of LandTrendr’s capabilities, an overview of how to interpret outputs from LandTrendr, and a hands-on LandTrendr exercise.

Learn the basics of the GEE implementation of LandTrendr including:

• Generating annual land surface reflectance images
• Plotting a time series of land surface reflectance
• Creating a map of change detection, the magnitude of change, duration of change event, and pre-change spectral values

This learning is for advanced users of remote sensing data within local, regional, state, federal, and non-governmental organizations involved in land management and conservation efforts.

This training was created by NASA's Applied Remote Sensing Training Program (ARSET). ARSET is a part of NASA's Applied Science's Capacity Building Program. Learn more about ARSET HERE.

In case of any questions regarding the session, please feel free to reach out to Ana I. Prados, Ph.D., Research Associate Professor, Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County at aprados@umbc.edu.