Satellite Image classification Random Forest (RF) Machine Leaning (ML) in Google Earth Engine (GEE)

preview_player
Показать описание
Random Forest (RF); Machine Learning (ML); Google Earth Engine (GEE); Satellite Image; Image Classification; Supervised classification in Google Earth Engine; Supervised Classification; Sentinel-2; Image stacking; Accuracy Assessment; Variable Importance; Chart
Random forest (RF) Image Classification Using Google Earth Engine

Please visit our site and get the code, thank you.

We hope our tutorial has helped you with your research. Please like, Share and subscribe our channel if you like the video.
Рекомендации по теме
Комментарии
Автор

Very helpful. Can you please create a legend for this as well in a separate video or a code. Secondly, can I open the resulting TIF file into ArcGIS for labeling using symbology (Unique values)?

batconservationpakistan
Автор

thank you a lot for your very useful video. I have a question, in the case of seasonality in the area, I have to classify my class in different images, the images in which to classify my classes, need to be merged into one stack? or classify as a stack of different images?
thanks

martinaperez
Автор

Thanks for this excellent tutorial. I followed it in Google Colab, but I get the error 'No valid training data were found'. Do you perhaps know what the reason might be and what I'd have to fix it?

sedgeleyp
Автор

Hello, Thank you very much for this amazing video, I need a little help, while i was following your script according to my desired values, During Forest test, it is giving error "Forest not defined". I have watched your video several times, but could not find the solution.Could you please give your expert opinion ? thank you once again. ❤❤❤❤❤ you are a Gem

awaismuhammad
Автор

Hi there, great tutorials indeed, wondering if you can tell me if i run classification over one image, is it possible to get classified outcomes from more than one image ?

AshrafulIslam-cclp
Автор

I Really congrat you with this great job, ... awesome, ... I try to do this with my own self script but de Accuracy overall doesn't work, could you give me a little help with this please?, rhank you on advance.

paco
Автор

Thanks for the Tutorial, my study area is contains more than one scene. how do i mosaic?

coolsamuel
Автор

Hi,
great tutorials indeed. can you pliss share the code for sentinel 2 data supervised classification in your site wib
thanks

mohamedziyani
Автор

Hi, thanks for the video. But the feature collection is giving me zero or null, please help!

AnweshaMajumdar-qq
Автор

How to mosaic here because the study area is not covers by a single tiles?
Please write that line.

mrityunjoykumbhakar
Автор

how do i export training data to shapefile??

Long-CDQNguyễnBỉnh
Автор

A big thanks for the video. It’s very informative and nicely described. The problem that I am facing while running the script is, FeatureCollection for Training data Band values shows (0 elements, 0 columns).
And with this, further, Image (Error) No valid training data were found is on the display. Can you help with this problem?

invinciblerocker
Автор

Thank you so much for this great helpful content. I have a question. Anyone can explain please.

Is it not necessary to have the same spatial resolution of all the spectral bands of an image before classification? In above video, the "imgcollection" contains 10 bands of Sentinel-2 including both 10 m and 20 m spatial resolutions. How it affects the output image?

SyedAhmedRaza_
Автор

Can you create video of mangrove mapping using planet imagery?

acinad
Автор

kindly share code for sentinel 2 data supervised classification

chauhankalyansinh
Автор

my classes are not getting defined properly after merging the dataset how can i solve it?

b______k______.