Landsat 8 Image Classification with ArcGIS (Supervised)

[@itstooba7]

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

[@geodeltalabs]

You are welcome :)

[@ShivamSHARMA-fn6yy]

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

[@lifuyokyshorlifu2496]

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

[@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 😃

[@sheheryarkhan7364]

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

[@tilahunalehegn545]

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

[@kkethusha7666]

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

[@geodeltalabs]

You are welcome :)

[@KARPAvenilite]

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

[@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 :)

[@raghvendrapatel6447]

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

[@sufiakhatun4908]

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

[@ib111-tn8wx]

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

[@geodeltalabs]

Thanks and welcome

[@pankajsarma9757]

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

[@senaatakul2950]

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

[@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 :)

[@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?

[@Engr.abdullahxz]

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

[@afzal6976]

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

[@dampalranawaka7040]

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

[@geodeltalabs]

Thank you :)

[@habibashamsy3315]

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

[@geodeltalabs]

👍

[@Himalaya_geo_lab]

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

[@geodeltalabs]

You are welcome :)

[@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!

[@USN23]

Great tutorial! Steps are easy to follow for beginners.

[@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!

[@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👍👍👍

[@babitamalakar829]

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

[@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

[@reshmaantony6435]

Highly informative. Excellent Tutorial. Thank you Sir.

[@geodeltalabs]

You are welcome :)

[@azapayyalcnyavuz4476]

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

[@ismaeldedia7675]

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?

[@fawadmazara]

Very Much Helpful in Understanding the Supervised Classificationon

[@silindilesibiya4199]

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

[@geodeltalabs]

Thanks

[@kouroumajeanmoussa4402]

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

[@geodeltalabs]

Thanks :)

[@imalkanawanjali3793]

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

[@saeedullahkhan4971]

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

[@geodeltalabs]

You are welcome

[@RaghebKamalMohammad]

Sir, this is an outstanding explanation. 😍

[@geodeltalabs]

Glad you liked it :)

[@-RubaiyanaTaskin]

I cant describe how useful this was!

[@aamirhayat3279]

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

[@ExploreRSGISTutorials]

Great Tutorial on Supervised Classification👍👍👍!!!

[@EngineeringTimes]

wow thanks dear, sharing your tutorial on monde geospatial.

[@haileselassiey]

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

[@ruqayahiba]

Thank you very much for the GREAT explanation.

[@zillahtafirenyika8718]

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

[@geodeltalabs]

You are welcome

[@qZoneful]

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

[@ameenabdulbarr8342]

probably if a data of their coordinate is provided i presume

[@hazelalan9007]

Thank you for this perfect tutorial.

[@phanindrachitturi1700]

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

[@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?

[@muhammadtaufikiqbal]

18:25..how to make a new layer??

[@haroldwaas]

Thanks for your tutorial GBU

[@geodeltalabs]

You are welcome

[@saniaparveen9428]

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

[@samiulislamsifat6941]

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

[@De_Praduyt]

Super Sir. Like watching your videos

[@charitygoba8460]

QUITE SELF EXPLANATORY THNKU SO MUCH

[@discovery1176]

Is it possible to find out the ancient excavations buried in this application?

[@geodeltalabs]

I've heard that they do that kind of stuff using LiDAR technology. I'm not sure whether Landsat images would be of any use for that level of detailed work

[@iwy104]

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

[@Bodogirlmini]

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

[@learngeography1766]

same problem did you solve it?

[@kyeghfatman354]

Great video. Easy to follow, nice one.

[@JosyEmma]

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

[@narendra1858]

Thanks for such nice explaination of LULC

[@learngeography1766]

what if i only want to just show the properties within my city boundary. Like i don't want end result to be in a square image, rather i want to be within the city or district boundary only. IS it possible.

[@4321woodsy]

You can just Clip it to your boundary polygon

[@learngeography1766]

@@4321woodsy how to do that. do you have any video or anything to do that?

[@4321woodsy]

@@learngeography1766 I don’t but you can do it two ways. Do your classification as this video says and then add your city boundary feature class or shape file into the Map then go to tools, raster, raster processing and then clip. Add your imagery and then your boundary into the output extent. Turn on “use input features for clipping geometry” then click ok. The other way is to do the steps above, clip the original imagery first and then follow the steps in this video to classify just the features within your clipped imagery

[@learngeography1766]

@@4321woodsy I got it. thanks for exlaining me dude. i really appreciate it.

[@angelyasimon9128]

very helpful and easily understood. thank you so much

[@learngeography1766]

Thanks a lot for explaining it.

[@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?

[@Dheeraj_Kumar_10]

One of the best tutorial 🙌

[@dawan7044]

i really liked your tutirails . great work

[@geodeltalabs]

Thanks 😊

[@athlete265]

master piece really simple and easy to understand

[@Abdulrahmanak47]

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

[@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.

[@tariqbadshah8731]

everything is very clear. Nice video

[@PRIYASINGH-kn9ry]

Was very helpful for my study

[@geodeltalabs]

Great!

[@Warsaw.updates92]

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?

[@piyaphatc5794]

hi guys, I followed the video but something unusual just happened to my composite bands image. It shows only the band_1 in all RGB. How to fix that? Thank you :)

[@geodeltalabs]

Hi, that's a bit unusual. Do you still have this issue?

[@piyaphatc5794]

@@geodeltalabs Yes, so I changed my platform to QGIS and composite my images and I got the composited image the same exactly you got in the ArcMap.

[@BhargaviGRA]

@@geodeltalabs yes how t change it... i too have the same problem. all band name is band 1

[@siminakhlaghi5466]

I have this problem too

[@stevenmutale4665]

Great video, very helpful!

[@geodeltalabs]

Glad to hear it!

[@sanchitachakraborty2818]

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.

[@geodeltalabs]

Hi, I have not encountered this issue so far. Did you select all the bands when creating the composite?

[@sanchitachakraborty2818]

@@geodeltalabs yes.. it's done in another way .. thank you for your response

[@siminakhlaghi5466]

@Sanchita Chakraborty how you did that, i have this problem too

[@stelio90]

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

[@nilesh6090]

Please share the same video on unsupervised classification for landsat 8

[@alishadas957]

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

[@fatimaawadalla9264]

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?)

[@MutumeJoel-j3y]

Could you also be having the one of arc gis pro version for supervised classification

[@floratech9127]

Is it possible to detect clouds in natural image based on infrared image..

[@ratuldas3408]

Sir, how many samples are required for areas like 700sqkm

[@prahladpaul7627]

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

[@geodeltalabs]

You are welcome :)

[@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.

[@getacherkassa4038]

This is helpful. thankyou for sharing.

[@shubhamnanda99]

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.

[@chetanab2112]

Best tutorial . Thank you for detail vdo

[@geodeltalabs]

no problem :)

[@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.

[@jubaeralsamin9734]

After creating the composite image, It is showing only band 1 data for RGB. What's the problem here?

[@rpa7811]

Help...I've downloaded an image from landsat8,after mosaic and extracting AOI nothing can appear on that classification tool

[@Big_Glizzy.]

Are you missing the TIF file? Look up at your download tab on the browser and click and drag it on your layers side bar

[@qaiserhussain1892]

Thank you, really needed this..

[@geodeltalabs]

You are welcome :)

[@simranjeetkaur2219]

Can we firtly clip the area of interest and then do the classificication it hink it would give more accuracy. M i right or not so

[@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?

[@agungpermana471]

did you do radiometric correction in this section?

[@bhowmicksis]

which method you followed in supervised image classification in this video?

[@ogunleyejuliet4101]

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

[@abebawzeleke8882]

Dear. Thank you for your nice video. Can I download and further follow the instructions.

[@aashishgautam_]

How do you draw rectangle for region of interest.

[@geodeltalabs]

kzbin.info/www/bejne/qmi9n4drg8ykoq8 At 26:20 you will be able to see the procedure that you need to follow to create a new shapefile

[@nabilahzainal5898]

hello sir..i want to ask about the format after classified..the format after the classification was afr...but yours was tif..how to convert to tif format. can u help me

[@samerqarmout7750]

Dear, What is the resolution of the image, is it suitable for generating crop maps?

[@legessebegashaw1101]

Thanks, Very nice explanation