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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.
Ответитьthe .cart() function used to create an empty classifier is deprecated. It needs to be replaced with smileCart().
Ответитьcan you share the code ?
ОтветитьWhy do we use scale:30
Ответитьit's good but it would be nice if you could put the code in the comments
ОтветитьHello ! 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 ?
ОтветитьI am getting this error after running the code.
Ответитьclassification: Layer error: Property 'Class' of feature '1_2_0' is missing.
ОтветитьVery nice. I like your voice.
Plz make some lectures on GDAL and Raterio with phyton with Remote Sensing data.
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."
Ответитьthank you!
Ответитьand 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?
ОтветитьHello, 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.
Ответитьcan we calculate the ndvi of wheat separately
ОтветитьHi. Thank you very much for this nice tutorial
ОтветитьA great fan of teaching style . A video on Object-based classification of the output image please
ОтветитьHi, 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.
it's very useful to me, thank you
ОтветитьThanks a lot for this useful tutorial!
ОтветитьPlease do a supervised classification on Sentinel 2 imagery.
ОтветитьThank you for this helpful tutorial! Would the whole process work the same way with, for example, Landsat 5 images from 1984?
Ответить1 + subscriber
ОтветитьHi, 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 :)
ОтветитьI 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
Ответитьi 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
ОтветитьI'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
Ответить感谢!Thank u so much!
ОтветитьErrick bullock...
ОтветитьGreat work !
Ответитьhello 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.
You are the best, I hope you keep uploading content. Greetings from Chile // eres el mejor. Ojala sigas subiendo contenido. Saludos desde chile
Ответитьhow to perform unsupervised classification on google earth engine
ОтветитьThanks Sir, How to export final output classify image of land use?
ОтветитьGreat Tutorial. Please upload more contents. :)
ОтветитьGreat work.please carry on the training program
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