Landsat 8 Image Classification with ArcGIS (Supervised) 

Imagine having a teacher with the voice like his. You are just amazing.

Explained so well that It could not be better. Thanks for the effort to be very brief and precise.

It is 22.02.2022 and am happy to have come across this video which is what I needed to actualize my final year project. THANK YOU VERY MUCH👍

Excellent deliberation &superb Articulation..well sorted and every step is so clear and in order!! keep going and would love to see more Raster Analyses.

Thank You for this clear session. Actually i learn new things from these sessions than my university study.

Your videos are incredible, super helpful. It would be useful to know how to create a confusion matrix for the supervised classification too!

This is amazing, with this i can comfortably move forward with my thesis

Thank you so much. Explained all of them in a simplified manner. Excelled Video. Thanks a lot broo ! Love !!!!!

The best RU-vid Channel I have ever come across. Thumbs Up

I am happy by every thing that you present in your youtube channel

Amazing wow.... Very happy having teacher like you is god gift for me....❤

What nice way of representation..Thank you very much sir...I learned so much from this video...god bless you...

great analysis of everything! Thanks a ton man! take love

Great tutorial. I wish this tutorial existed during my PhD programme years ago. huhu. Thank you so much!

sir your teaching method is really very good i appreciate you.

that was an excellent explanation sir kindly give us another lesson on how to a map using the same data and if possible how to calculate the ndvi and vci of the area of interest. other wise thumbs up

Your voice is so nice and clear, the video is so helpful for me

Thanks a lot for this detailed and high quality tutorial. It's so helpful!

Soo handy it was. 👍 Bundle of thanks specially for performing the extra step of calculating the area.

thanks mate, your tutorials are one of the best out there! appreciate your work, hope you will provide us more useful stuff like this in the future!

Thank you for this perfect tutorial.

It's super. Great analysis. Thank you so much ❤

Highly informative. Excellent Tutorial. Thank you Sir.

It is a very very good video. You made it simple and beneficial at the same time. This video answered many questions for me. Keep going with this great work👍👍👍

this tutorial is unbelievable, this is great!!!!!! thank you sooooo much..

I cant describe how useful this was!

thank you sir , want more ocean based concept vedio in arc gis . you are best teacher

Great tutorial! Steps are easy to follow for beginners.

This is one of the best tutorial on the subject matter!

This is such a good tutorial. This concept is gonna be etched in my mind for a really long time now. Could you please make more videos that are related to environmental and waste management fields?

Wow. this tutorial is amazing. crystal clear voice by the way. CHEERS!!!

Oh my God, such a nice and well-explained tutorial. Thank you so much for the lecture.

THANK YOU sir . I learn new thing related to numeric value change in add attribute area calculation thank once again . i followed and share also your classes .

Wow, this is the most well-explained tutorial ever!! Thank you so much!

thanks sir , we learn many thing. keep supporting us.

Very Much Helpful in Understanding the Supervised Classificationon

Sir, this is an outstanding explanation. 😍

The tutotail is very explanatory and helpful thanks alot i learn alot

wow thanks dear, sharing your tutorial on monde geospatial.

Thank you very much for the GREAT explanation.

This is very good, thank you very much. you actually made everything simple.

Very interesting explanation and analysis. I learned a lot. Many thanks!!!

One of the best tutorial 🙌

Great Tutorial on Supervised Classification👍👍👍!!!

Greetings Geodelta Labs. First, your tutorials are amazing. I must say I'm learning alot from you. I appreciate alot. I would like to suggest that you do a tutorial on classifying tree species using sci-kit random forest classifier.

Its AWWSOME...great work done.Thank you.

master piece really simple and easy to understand

Great video. Easy to follow, nice one.

sir, please upload your version of finding classification accuracy for the supervised classification you did.

Thanks for the video, it was nice & clear tutorial presentation !

everything is very clear. Nice video

Thanks a lot for explaining it.

SO HELPFUL FOR DO WORKS

Great video, very helpful!

very helpful and easily understood. thank you so much

i really liked your tutirails . great work

Excellent video !. I would like to know the process of the confusion matrix

QUITE SELF EXPLANATORY THNKU SO MUCH

Mashallah excellent elaboration may Allah give you long life (AMEEN) ❤

Super Sir. Like watching your videos

Best tutorial ever

Thank you, really needed this..

Thank you! I am wondering, which band combination is better for distinguish the crop types?

Thanks for your tutorial GBU

Thanks for such nice explaination of LULC

Thank you for this tutorial

Was very helpful for my study

Thanks, Very nice explanation

Hello, Sir your video was really excellent. I had a query, when I performed band composition using the image analysis tab all my bands after the composition where named as band_1. Can you please help me out regarding this?

Best tutorial . Thank you for detail vdo

Really wonderful video....learn a lots...thanks

Please share the same video on unsupervised classification for landsat 8

Thank you for this tutorial and appreciate. meanwhile, I have a problem with my analysis during composite image, after composite, the bands result is always "band_1, band_1.." instead of "band_1, band_2,..."" Please what might be the error? Thank you

thx, have a nice day!

In my case it comes only band_1 with all red green and blue, For all bands the value is one, can you please tell me why?

Thanks for the video... Can you do one on how to do deforestation or forest vulnerability analysis to show the areas that are at risk of deforestation?

Thanks for sharing. Please I would to see how the tiff file eventually acquired the new land cover classes. The video does not show where and what you clicked to make that happen.

Thank you for this tutorial, the title of this analysis you showed us would be land use type or land use/land cover ?

What is the version you are using. I am not able to proceed after clicking image classification. Please help

best of the bests thank youu

Hello, thank you for this tutoriel...pelase can you explain the step beetween 10:00 to 10:05? How have you create rectangle forest please?

Thank you for the helpful tutorial. I was wondering is there any way to do the supervised classification using python? How we can do an accuracy assessment for the classification? Thanks.

Thank you, sir. please in the composite the colours appear 1 band only instead of 1, 2, 3. What will be the error?

Awesome sir

So helpful...thankyou!😊🙏

very helpful.......thanks

Amazing, very helpful

Is there a way to generate Land use / Land cover automatically or everything has to be done step by step manually?

thank you for your explanation. I have questions (i applied all steps , but when I wanna the interactive supervision classification . it didn't display new layer ( classification -composite image) I tried more than one time I didn't know where my problem can you help me?)

Could you be have some vedeos about image pre-processing using erdas imagine software but this vedeo is nice I have really liked it.

I can't change the band number because after composite all bands Red Blue and Green bands are showing band 1. Only band 1 is there, I don't know what is happening but I have followed every steps correctly which is shown in this video.

Loved it

Thank you very much...

Super helpful ✌

Thank you 👍

love you boy, Stay blessed always

When i converted the raster into polygon i got only two columns in attribute table. My polgon was covered by one color only. It was not like you. Can you please help me in this.

This tutorial is very helpful. I want to ask how/where you got the data you imported for your area of interest?

after composite my RGB band showing 1 only (means- 1-1-1 not - 1-2-3). in this case what to do?

Very helpful thanks