Random Forest Machine Learning Classification to Map Land Cover with Landsat 9

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This tutorial will show you how to apply Random Forest machine learning classification to map lane
cover with Landsat 9.
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[@spatialelearning]

Visit our website to learn more: spatialelearning.com Hope this video was useful to you. What video topic would you like to see next?

[@invinciblerocker]

Thanks! Very informative video. Can you make more videos related to RF classification and the errors that we could come across while running the script.

[@spatialelearning]

Ok, will do.

[@luisortegon3798]

thanks for the video. do you know if I can upload dataset training ? I have got a good one that I'd like to use to train the model? Thanks in advance !!

[@invinciblerocker]

Can you explain about the image stacking? if the study area is big, and there are a lot of imagery with various temporal resolution, if the process would be same?

[@isabelschulze5310]

hello, great video. can i also use this script for Landsat7 images?

[@ik1460b]

Hello, i would like to run the same classification but with my training data that i have as a Shapefile i'm confused about how to explore my shapefile with your code

[@user-rd6hg4tx5u]

hello ！My code can classify images, but the result of calculating the confusion matrix is 0, why?

[@SoardRamrez]

Hello, I basically copied your code to do the Supervised, but I failed at the point where image exporting. Is something wrong with the code?

[@annmaine5777]

Hello Sir, I am trying to run the same classifcation but I continously get an error: SyntaxError: Unexpected token (15:8). How do I fix this?

[@dr.mohanvasave3050]

How to create SVM mode of LULC in GEE