Google Earth Engine 8: Introduction to Image Classification

Great work.please carry on the training program

Great Tutorial. Please upload more contents. :)

Thanks Sir, How to export final output classify image of land use?

how to perform unsupervised classification on google earth engine

You are the best, I hope you keep uploading content. Greetings from Chile // eres el mejor. Ojala sigas subiendo contenido. Saludos desde chile

hello great tutorial

I would like to ask how I can make a classification exporting polygons with more than 100 hectares, since when running the program it sends me an error "Computed value is too large". Greetings I hope you can help me.

Great work !

Errick bullock...

感谢！Thank u so much！

I've coded the entire thing but my final output is grayscale rather than the 4 color values I've given as palatte parameters.What should I do now, to remove the grey scale and have a colorful palatte

i am facing the problem of layer error and 1_1_1_0_0 is displayed in message box as error message . Can you please help me to solve it?? Thank you

I have a query. since you did not sperate the training sample into test samples, when you output confusion matrix, it is always going to classify the images with 100% accuracy, is it not? if what I told is correct, is there a way to seperate the samples and then use for confusion matrix? Thanks

Hi, thank you very much! Have you done a land cover change analysis? Do you have any tips for that or a good link? I hope you upload more videos. Greetings from Switzerland :)

1 + subscriber

Thank you for this helpful tutorial! Would the whole process work the same way with, for example, Landsat 5 images from 1984?

Please do a supervised classification on Sentinel 2 imagery.

Thanks a lot for this useful tutorial!

it's very useful to me, thank you

Hi, thank you so much for your help tutorials, I am wondering how I can assign attributes "LC" and "0" to an existing point feature that I imported into GEE, I have been trying for a while and it doesn't work.

Thanks for your help.

A great fan of teaching style . A video on Object-based classification of the output image please

Hi. Thank you very much for this nice tutorial

can we calculate the ndvi of wheat separately

Hello, I would like to ask one thing. Can I use a geotiff images , as for the training inputs? I tried to do so, but I get error message, that user memonry exceeded. I want those data to detect burned areas with RD classification. Thanks in advance.

and when I put Map.addLayer(selection)... it says "no bands to visualize", I put L8 instead of "selection" but it showed all the tiles for the entire country. How do I set it to my ROI / boundary only?

thank you!

first of all, thank you very much. i followed the video step by step ...it all works good but when it comes to image visualization this message appears in the console "Layer 2: Layer error: Image. visualize: Cannot provide a palette when visualizing more than one band."

Very nice. I like your voice.
Plz make some lectures on GDAL and Raterio with phyton with Remote Sensing data.

classification: Layer error: Property 'Class' of feature '1_2_0' is missing.

I am getting this error after running the code.

Hello ! I want to make an image classification on Sentinel 2 imagery. However, I want all the bands to have spatial resolution of 10m . I need to make a resample process, however Ι have stuck. Have you any Idea, how to overcome this problem ?

it's good but it would be nice if you could put the code in the comments

Why do we use scale:30

can you share the code ?

the .cart() function used to create an empty classifier is deprecated. It needs to be replaced with smileCart().

Good day, Sir. I stumbled upon to your content while I was searching for remote sensing contents. I would like to ask if how do we know if the certain country has already data? btw, I am from PH.