NASA Advanced Learning: Investigating Time Series of Satellite Imagery
Series

2 Part Series

NASA Advanced Learning: Investigating Time Series of Satellite Imagery

"A focus on two tools, AppEEARS from the LPDAAC and LandTrendr via Google Earth Engine (GEE)​"

Evaluation of satellite imagery for an area over time can be used to identify trends and changes. This type of time series analysis can be used to assess forest disturbance, land cover changes, vegetation health, and agriculture monitoring and expansion. NASA Earth observations can provide long-term records from Landsat, and frequent imagery from sensors including MODIS. This training will focus on two tools, AppEEARS from the LPDAAC and LandTrendr via Google Earth Engine (GEE). AppEEARS enables users to integrate point or polygon ground-based data with satellite imagery. The GEE implementation of LandTrendr enables users to analyze land cover dynamics, including short-term disturbances and long-term trends. Both sessions will feature a lecture, followed by time for hands-on exercises and questions.

These training resources are appropriate for professionals with no previous experience in remote sensing. This Learning Series was conducted 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, click HERE.

In case of any questions regarding this Learning Series, 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.

Series Parts


Archived Webinar (2)

Join the Discussion

Anvar

- Jun 18, 2021
Interesting!

jose luis

- May 23, 2021
mu bueno

DR. YOGENDRA NATH

- May 5, 2021
Good.

MOHAMMAD

- Jan 12, 2021
Great!

Mohammad Nadir

- Oct 29, 2020
Excellent presentation!
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