Supervised Classification for Land Cover Mapping with Landsat 8 in Google Earth Engine
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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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Пікірлер: 21
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Very clear and precise. Thank you.
Thank you. This tutorial is great!
Thanks for your detail and clear tutorial
Excellent tutorial.
Very nice keep it up!!!
Welcome back.
nice
After importing the shapefile, how do you clip or extract the ROI in GEE as we do in ArcMap and Qgis?
how do I then download and save the final landcover map?
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
Great work. .
@spatialelearning
Жыл бұрын
Thanks.
If i want data of district then how can i get??
how to do clove land mapping?
the red one is more so urban class is high there a mistake in urban classification
THink u
Classification: layer error: property ' class of feature 1111100 is missing What it say and y?
@hysunburg
Жыл бұрын
i have same issue.. were you able to resolve it?
@muhammadiqbalbusra4927
Жыл бұрын
//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';
@user-py4dk6st6v
5 ай бұрын
@@muhammadiqbalbusra4927 I changed var label='Class' but it didn't work