Google Earth Engine 8: Introduction to Image Classification

Another powerful tool of the Google Earth Engine is the capability to classify images. It can be useful for a variety of cases, when you want to create a thematic map of a certain area rather than an image, or when you want to assess what land cover changes took place over a certain time period.

In the Earth Engine there are two ways to classify pixels of an image. You could do a supervised classification or an unsupervised classification.

This video will give an introduction on how to use classifiers in the GEE

[sauravshrestha]

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

[IAKhan-kmph]

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

[mandata]

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.

[isaavedrae]

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

[swapantalukdar]

Hi. Thank you very much for this nice tutorial

[saketdubey]

Great work.please carry on the training program

[marcuzz]

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

[iwoydmr]

it's very useful to me, thank you

[a.s.]

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 :)

[reshadguman]

Thanks a lot for this useful tutorial!

[moibon]

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

[hillsonghimire]

Great Tutorial. Please upload more contents. :)

[amanbagrecha]

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

[swadhinakoley]

Please do a supervised classification on Sentinel 2 imagery.

[muhammadjawadurrahim]

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

[veerabhimanyusingh]

another question is regarding machine learning. can we train model in javascript and the extract the model for use i python based system

[thrasivoulosstylianou]

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 ?

[damselinthisstress]

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?

[giannisps]

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.

[pervaiziqbaljames]

can we calculate the ndvi of wheat separately