Landsat 8 Image Classification using QGIS

In this tutorial, you will learn how to classify Landsat 8 images using the Semi-Automatic Classification Plugin (SCP) of QGIS. The tutorial consists of parts pertaining to using different Landsat spectral band combination for highlighting key landcover classes, specification of training inputs for both ‘Classes’ and ‘Macro-classes’ and finally deriving the completed landcover raster using the SCP plugin.

[achenefbekele]

Dear Sir, I recently came across your insightful YouTube tutorial on Landsat 8 Image Classification using QGIS, and I truly appreciate the clear and informative content you provided. Your step-by-step guidance was immensely helpful. I would love to see similar tutorials for Landsat 8 Image Classification using ArcGIS and RStudio. If you've already covered these topics, could you please share the links in the comments section? Your expertise is invaluable, and your tutorials make complex processes accessible to learners like me. Thanks again for your dedication to sharing knowledge!

[abhinavsharma]

Just to add when RGB is 4-3-2 it's natural colour or True composite. Anything other than that like 5-4-3 (colour infrared) would be False Colour Composite (FCC).

Very nice tutorial. Really helpful. Thanks

[karinakate]

you’re literally the only person saving me on this topic 😭 thank you so much 😭😭😭😭

[Huddasome]

Can you please make a video that goes further, converting this file into vector and then calculating the surface area of each elements?

[mfanafuthimthembu]

This is such a wonderful presentation, absolutely wonderful job. Your patience and articulation makes this work much easier. Thank you, you have earned yourself a subscriber.

[kaduflutist]

I'd like to thank you so much for the nice tutorial you've come up with on SCP. For me, it's just the beginning of a long journey, but now I feel encouraged to move forward. Keep posting more you're an excellent coach!

[entertaincorner]

I like the voice. It is soo clear and addictive😊

[Rexmily]

This is absolutely brilliant. It is easy to understand and follow. Thank you so much for this. I am more knowledgeable in this now than before.

[ronaldathallah]

Thanks man. I like your step by step explanation and also you have a nice voice.

[pratikojha]

HI, Everything was going good. I was following all of the steps but during 26:28 the option you go for i.e classification. I am not getting this option displayed there in its place. I have only option of Home, Training inputs and ROI. Do you have any idea to make it show up? Thanks

[jaktv]

Oh my God! You so good. I am lucky i jumped on this tutorial

[rumanhossain]

Thank you so much brother for such a great tutorial!
Please make some tutorials on Landsat 8 unsupervised image classification, cloud masking, accuracy assessment, and LULC change prediction with CA-Markov Model.

[Mathia]

Thank you so much for this tutorial. Could you also explain how to impove the accuracy of the classification?

[LucasSouza-xigc]

Vim aqui só pra te dizer que você tem um grande fã no Brasil, meus parabéns pelo incrível tutorial 👏👏

[freetime]

Thank you is such a wonderful explanation, keep it and cheers🖒

[ashokgahatraj]

Eagarly waited, Thanks for tutorial.🙏

[АлександрБурцев-ээ]

Thank you for your video. When it comes to RT_clip bands I can't get file for the first band (B1). Only next six bands. What can be the reason of such difference with the result of SCP in your case?

[masterx.academy]

The nicer tutorial for this tool. Thank you dude!

[lisonlesieur]

Thank you for this video, can you tell me wich type of image you download ? I tried GeoTIFF but it is very long..

[RakeshAryamnu]

I feel at 8.37 minutes wavelength setting is not correct...as it is for 2, 3, 4, 5, 6, 7 not for 1... Please see in your video center wavelength shows 7.0; that is not correct. But I must appreciate that it is excellent guide