Landsat 8 Image Classification with ArcGIS (Supervised)

In this video, you will get an introduction to the spectral bands of Landsat 8, usage of different spectral band combinations, perform a supervised classification using ArcGIS and calculate the area corresponding to each landuse class.
Download Landsat 8 Images - earthexplorer.usgs.gov/
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[@ShivamSHARMA-fn6yy]

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

[@uselessminority6071]

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!

[@bijijose4004]

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.

[@geodeltalabs]

You are welcome :)

[@OM-lu5fk]

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

[@afzal6976]

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

[@raghavkotabagi9917]

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?

[@pankajsarma9757]

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

[@Engr.abdullahxz]

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

[@babitamalakar829]

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

[@sinodeo4818]

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👍

[@geodeltalabs]

Great 😃

[@husamali4642]

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👍👍👍

[@lifuyokyshorlifu2496]

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

[@sheheryarkhan7364]

The best KZbin Channel I have ever come across. Thumbs Up

[@KARPAvenilite]

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

[@tilahunalehegn545]

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

[@silindilesibiya4199]

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

[@geodeltalabs]

Thanks

[@itstooba7]

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

[@geodeltalabs]

You are welcome :)

[@-RubaiyanaTaskin]

I cant describe how useful this was!

[@senaatakul2950]

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

[@haileselassiey]

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

[@USN23]

Great tutorial! Steps are easy to follow for beginners.

[@kkethusha7666]

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

[@geodeltalabs]

You are welcome :)

[@sufiakhatun4908]

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

[@kouroumajeanmoussa4402]

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

[@geodeltalabs]

Thanks :)

[@azapayyalcnyavuz4476]

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

[@samiulislamsifat6941]

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

[@fawadmazara]

Very Much Helpful in Understanding the Supervised Classificationon

[@athlete265]

master piece really simple and easy to understand

[@ExploreRSGISTutorials]

Great Tutorial on Supervised Classification👍👍👍!!!

[@aamirhayat3279]

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

[@imalkanawanjali3793]

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

[@declassifiedMalaysia]

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

[@geodeltalabs]

Thanks for your comment :)

[@prashanthj2255]

@@geodeltalabs How to create region of interest shape file?

[@raghvendrapatel6447]

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

[@ruqayahiba]

Thank you very much for the GREAT explanation.

[@Dheeraj_Kumar_10]

One of the best tutorial 🙌

[@tariqbadshah8731]

everything is very clear. Nice video

[@zillahtafirenyika8718]

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

[@geodeltalabs]

You are welcome

[@hazelalan9007]

Thank you for this perfect tutorial.

[@angelyasimon9128]

very helpful and easily understood. thank you so much

[@kyeghfatman354]

Great video. Easy to follow, nice one.

[@dampalranawaka7040]

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

[@geodeltalabs]

Thank you :)

[@saniaparveen9428]

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

[@kipngetichevans5095]

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.

[@EngineeringTimes]

wow thanks dear, sharing your tutorial on monde geospatial.

[@reshmaantony6435]

Highly informative. Excellent Tutorial. Thank you Sir.

[@geodeltalabs]

You are welcome :)

[@learngeography1766]

Thanks a lot for explaining it.

[@ib111-tn8wx]

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

[@geodeltalabs]

Thanks and welcome

[@stevenmutale4665]

Great video, very helpful!

[@geodeltalabs]

Glad to hear it!

[@dawan7044]

i really liked your tutirails . great work

[@geodeltalabs]

Thanks 😊

[@sekhchandmoni5866]

Thank you for this tutorial

[@arenlalongchar6640]

So helpful...thankyou!😊🙏

[@qaiserhussain1892]

Thank you, really needed this..

[@geodeltalabs]

You are welcome :)

[@legessebegashaw1101]

Thanks, Very nice explanation

[@Himalaya_geo_lab]

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

[@geodeltalabs]

You are welcome :)

[@iwy104]

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

[@Ninja.281]

love you boy, Stay blessed always

[@habibashamsy3315]

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

[@geodeltalabs]

👍

[@narendra1858]

Thanks for such nice explaination of LULC

[@ErlanggaSvarnha]

thx, have a nice day!

[@user-mq5pi7fc3g]

Sir, this is an outstanding explanation. 😍

[@geodeltalabs]

Glad you liked it :)

[@birinaL]

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 .

[@geodeltalabs]

You are welcome :)

[@De_Praduyt]

Super Sir. Like watching your videos

[@prahladpaul7627]

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

[@geodeltalabs]

You are welcome :)

[@wisdom-sama9702]

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?

[@MohamednurAdan-fn5iz]

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

[@charitygoba8460]

QUITE SELF EXPLANATORY THNKU SO MUCH

[@bhargavarandhara]

Best tutorial ever

[@farahnusrat6414]

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.

[@ramadhaniomary1162]

best of the bests thank youu

[@sujanpandey7968]

Loved it

[@user-ih2xc1dg2c]

Very helpful thanks

[@LinaandAri]

Amazing, very helpful

[@geodeltalabs]

You are welcome :)

[@neeraj29aug84]

very helpful.......thanks

[@thinthinkhaing7793]

Thank you very much.

[@chetanab2112]

Best tutorial . Thank you for detail vdo

[@geodeltalabs]

no problem :)

[@user-yg8hu3vg5f]

SO HELPFUL FOR DO WORKS

[@PRIYASINGH-kn9ry]

Was very helpful for my study

[@geodeltalabs]

Great!

[@ankitmandal6953]

Awesome sir

[@waqarullahbhatti4884]

Wow very informative

[@Aayush007ish]

Super helpful ✌

[@geodeltalabs]

Great 👍

[@swapnilrajendragirme5232]

Thank you very much...

[@user-ih2xc1dg2c]

Thank you 👍

[@phanindrachitturi1700]

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

[@ananda.s2575]

Thank you sir

[@gezimdapi1981]

Great , Thank you!

[@geodeltalabs]

You are welcome

[@emangaroon8402]

Thanks so much

[@saudriyadh8459]

thank you so much

[@haroldwaas]

Thanks for your tutorial GBU

[@geodeltalabs]

You are welcome

[@nasirhameed4669]

its a great one

[@obinnaakamadu]

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.

[@sauravbhattacharjee8609]

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?

[@danglithonger476]

wow this is so cool ..thank you so much

[@geodeltalabs]

No problem 😊

[@danglithonger476]

@@geodeltalabs sir can you please make a video about how to extract a map from different scenes of satellite image . As my study area cannot be captured from one scene and hence if have to take four scenes and collage it which I'm having problem

[@viralfun2664]

you are amazinggggggg

[@mounkailagarba9952]

Thank you

[@ogunleyejuliet4101]

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

[@aghiles4017]

thank you

[@peiqing98]

If I want to classify using the Maximum Likelihood Classification, can I still follow the same procedure but only change the classification type?

[@Globigirina]

I like this tutorial, but what if my study area for example, is composed of two images NE and SW, how can we combine both images (NE-SW) to analyze them with the Scp method?

[@alhitari123]

well done sir. Can you further doing it for soil classifications and finalize it with a map?

[@hussainmengal3041]

informative video