NASA ARSET: Conducting a Change Detection Analysis, Session 2/2

This session will continue with conducting a change detection analysis and will include analyzing land cover change using different classification methods.
Download materials from this presentation: arset.gsfc.nasa.gov/land/webi...
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: arset.gsfc.nasa.gov/

[@CodeLeeCarter]

Interesting Webinar, more people should take more notice of what you guys are doing Thanks, Cindy, Amber and Jenny.

[@StacyBrownlee]

Thanks so much for sharing this information... I sure hope I can learn more about it before time's up! 😀

[@anishkumarrai9795]

Please help me on some point which are as follow:
What are the band combinations for other classes like settlement/built up area, water bodies, agricultural land, Barren land?
For what reason you have selected blue band of 2016 image in “stacked_change”?
How have you created classificationR file? And Is this different for other classes?

[@batuhankavlak]

Hi, can anyone suggest more material on the evaluation of the model such as the confusion matrix? How can I be sure that the model works and will work fine?

[@ranraj100]

is there any advantage to program in R over python..?

[@seeriousmatter6361]

Nice