Supervised Classification for Land Cover Mapping with Landsat 8 in Google Earth Engine
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- Опубліковано 20 вер 2024
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Learn how to apply machine learning and supervised classification using Landsat 8 satellite data in Google Earth Engine cloud computing.
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Very clear and precise. Thank you.
Thank you. This tutorial is great!
Thanks for your detail and clear tutorial
thanks you are the best
Excellent tutorial.
this video is very help for my project . But , I couldn't figure out where the accuracy assessment result you already set in the code
how do I then download and save the final landcover map?
Very nice keep it up!!!
Welcome back.
After importing the shapefile, how do you clip or extract the ROI in GEE as we do in ArcMap and Qgis?
nice
the red one is more so urban class is high there a mistake in urban classification
If i want data of district then how can i get??
Classification: layer error: property ' class of feature 1111100 is missing
What it say and y?
i have same issue.. were you able to resolve it?
//Create Training
var label = 'class';
var bands = ['B1','B2','B3','B4','B5','B6','B7'];
var input = image.select(bands);
change the var label into 'Class'
var label = 'Class';
@@muhammadiqbalbusra4927 I changed var label='Class' but it didn't work
Great work. .
Thanks.
how to do clove land mapping?
THink u