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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Опубликовано:

21 авг 2022

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Комментарии : 21

@spatialelearning Год назад

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

@widadmohdismail8685 3 месяца назад

Very clear and precise. Thank you.

@jorgeperez2356 3 месяца назад

Thank you. This tutorial is great!

@mo123296 Год назад

Thanks for your detail and clear tutorial

@rahelsintayehu9070 Год назад

Excellent tutorial.

@TWA356 Год назад

Very nice keep it up!!!

@mphatsomajamanga3713 Год назад

After importing the shapefile, how do you clip or extract the ROI in GEE as we do in ArcMap and Qgis?

@tb_diary5611 Год назад

Welcome back.

@AyeleGetachew-dv4ek 3 месяца назад

nice

@eddiemtambisi9891 4 месяца назад

how do I then download and save the final landcover map?

@workueshetie820 Год назад

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

@shwetayadav7773 4 месяца назад

If i want data of district then how can i get??

@karthij2709 Год назад

Great work. .

@spatialelearning Год назад

Thanks.

@leonardokusumaa7709 Год назад

how to do clove land mapping?

@user-rl4nc5yl3r 6 месяцев назад

the red one is more so urban class is high there a mistake in urban classification

@nidharrsana491 Год назад

Classification: layer error: property ' class of feature 1111100 is missing What it say and y?

@hysunburg Год назад

i have same issue.. were you able to resolve it?

@muhammadiqbalbusra4927 Год назад

//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';