NASA Learning: Satellite Remote Sensing for Agricultural Applications
Series

4 Part Series

NASA Learning: Satellite Remote Sensing for Agricultural Applications

"How remote sensing data can be used for decision-making among the agriculture and food security communities?"

Since the launch of NASA’s first Landsat mission in 1972, satellite imagery has been used for global agricultural monitoring, providing one of the longest operational applications for the Landsat program. Although satellite observations of land began with agricultural monitoring, only in recent years has agricultural remote sensing seen reinvigoration among space agencies, national ministries of agriculture, and global initiatives. To monitor agricultural systems, NASA utilizes satellite observations to assess a wide variety of geophysical and biophysical parameters, including precipitation, temperature, evapotranspiration, soil moisture, and vegetation health.

These 4-part introductory webinar sessions will focus on data products, data access, and case-studies demonstrating how remote sensing data can be used for decision-making among the agriculture and food security communities.

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.

Series Parts


Archived Webinar (4)

Join the Discussion

Jes�s Manuel

- Aug 11, 2021
Great Conversation

Anvar

- Jun 15, 2021
Interesting!

jose luis

- May 20, 2021
muy bueno

DR. YOGENDRA NATH

- May 5, 2021
Informative.

Nirmal

- Jan 20, 2021
interesting course

Mohammad Nadir

- Dec 8, 2020
Excellent series!

MOHAMMAD

- Dec 6, 2020
Nice course

Oussama

- Dec 2, 2020
I would be interested to know if we have used Satellite technologies to automatically map rural roads in developing countries as it is one of the challenges we are facing in Africa when it comes to identify local needs in terms of roads rehabilitation and development,

Christian

- Dec 1, 2020
Great
Log in to comment  Don't have an account? Register Now