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NASA ARSET: Conducting a Change Detection Analysis, Session 2/2
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- Опубліковано 4 жов 2018
- 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/
Interesting Webinar, more people should take more notice of what you guys are doing Thanks, Cindy, Amber and Jenny.
Thanks so much for sharing this information... I sure hope I can learn more about it before time's up! 😀
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?
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?
is there any advantage to program in R over python..?
Nice