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.
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?
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
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 .
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👍👍👍
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?
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.
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.
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 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
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?
The method should be somewhat similar, but if you are interested in differentiating different vegetation types based on their unique spectral signatures, you may want to see what other satellite products are available for that, as I think Landsat may not be suitable for such detailed vegetation related analyses
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
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?)
Thank you very much! This is a very useful guide. I am currently mapping marine benthic habitat in the coastal area, can you please do a guide on supervised classification using ground data by means of transect?
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?
Thanks for sharing very informative video in full explanation. Really commendable. I am facing only one problem. When I do band composition it goes well but in all the three bands it is visible as Red _1, Green_1and Blue_1. Although number of bands are 7 but not as band_1, band_2 etc in every band. Kindly guide me where may be the issue.
@@odwamtembu4176 maybe you haven't activated the extension of spatial analyst ? go to customize and click extension then check spatial analyst, maybe it will help
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.
@@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
Imagine having a teacher with the voice like his.
You are just amazing.
You are welcome :)
Explained so well that It could not be better. Thanks for the effort to be very brief and precise.
Your videos are incredible, super helpful. It would be useful to know how to create a confusion matrix for the supervised classification too!
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👍
Great 😃
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.
You are welcome :)
This is amazing, with this i can comfortably move forward with my thesis
I am happy by every thing that you present in your youtube channel
Thank You for this clear session. Actually i learn new things from these sessions than my university study.
You are welcome :)
The best TH-cam Channel I have ever come across. Thumbs Up
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?
Great tutorial. I wish this tutorial existed during my PhD programme years ago. huhu. Thank you so much!
Thanks for your comment :)
@@geodeltalabs How to create region of interest shape file?
Soo handy it was. 👍 Bundle of thanks specially for performing the extra step of calculating the area.
sir your teaching method is really very good i appreciate you.
Thanks and welcome
great analysis of everything! Thanks a ton man! take love
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!
Thanks a lot for this detailed and high quality tutorial. It's so helpful!
Thank you so much. Explained all of them in a simplified manner. Excelled Video. Thanks a lot broo ! Love !!!!!
What nice way of representation..Thank you very much sir...I learned so much from this video...god bless you...
Amazing wow....
Very happy having teacher like you is god gift for me....❤
Your voice is so nice and clear, the video is so helpful for me
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
thank you sir , want more ocean based concept vedio in arc gis . you are best teacher
👍
Highly informative. Excellent Tutorial. Thank you Sir.
You are welcome :)
It's super. Great analysis. Thank you so much ❤
Great tutorial! Steps are easy to follow for beginners.
thanks sir , we learn many thing. keep supporting us.
You are welcome :)
wow thanks dear, sharing your tutorial on monde geospatial.
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 .
You are welcome :)
Oh my God, such a nice and well-explained tutorial. Thank you so much for the lecture.
Wow. this tutorial is amazing. crystal clear voice by the way. CHEERS!!!
Thank you :)
Thank you! I am wondering, which band combination is better for distinguish the crop types?
probably if a data of their coordinate is provided i presume
Wow, this is the most well-explained tutorial ever!! Thank you so much!
Thanks
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..
Thank you for this tutorial, the title of this analysis you showed us would be land use type or land use/land cover ?
Sir, this is an outstanding explanation. 😍
Glad you liked it :)
Very Much Helpful in Understanding the Supervised Classificationon
Thank you very much for the GREAT 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?
Excellent video !. I would like to know the process of the confusion matrix
Very interesting explanation and analysis. I learned a lot. Many thanks!!!
This is one of the best tutorial on the subject matter!
Thanks :)
I cant describe how useful this was!
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.
Thank you for this perfect tutorial.
The tutotail is very explanatory and helpful thanks alot i learn alot
This is very good, thank you very much. you actually made everything simple.
You are welcome
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 !
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.
Its AWWSOME...great work done.Thank you.
Great Tutorial on Supervised Classification👍👍👍!!!
very helpful and easily understood. thank you so much
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 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
Great video. Easy to follow, nice one.
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?
Thanks for your tutorial GBU
You are welcome
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?
Nice explanation ! Really important.
I have an issue.
Do you have an idea how to conduct vegetation classification?
The method should be somewhat similar, but if you are interested in differentiating different vegetation types based on their unique spectral signatures, you may want to see what other satellite products are available for that, as I think Landsat may not be suitable for such detailed vegetation related analyses
This tutorial is very helpful. I want to ask how/where you got the data you imported for your area of interest?
That shapefile was created using ArcMap just for the purpose of this tutorial
QUITE SELF EXPLANATORY THNKU SO MUCH
Super Sir. Like watching your videos
Dear. Thank you for your nice video. Can I download and further follow the instructions.
Amazing indeed
Thanks a lot for explaining it.
Thank you, sir. please in the composite the colours appear 1 band only instead of 1, 2, 3. What will be the error?
What is the version you are using. I am not able to proceed after clicking image classification. Please help
same problem did you solve it?
Great video, very helpful!
Glad to hear it!
Is there a way to generate Land use / Land cover automatically or everything has to be done step by step manually?
Thanks for such nice explaination of LULC
Is it possible to find out the ancient excavations buried in this application?
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
i really liked your tutirails . great work
Thanks 😊
Best tutorial . Thank you for detail vdo
no problem :)
master piece really simple and easy to understand
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?
Thank you, really needed this..
You are welcome :)
Really wonderful video....learn a lots...thanks
You are welcome :)
Was very helpful for my study
Great!
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?)
everything is very clear. Nice video
did you do radiometric correction in this section?
Dear, What is the resolution of the image, is it suitable for generating crop maps?
Thanks, Very nice explanation
Thank you very much! This is a very useful guide. I am currently mapping marine benthic habitat in the coastal area, can you please do a guide on supervised classification using ground data by means of transect?
Thanks for your comment and your suggestion!
One of the best tutorial 🙌
Could you also be having the one of arc gis pro version for supervised classification
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?
Could you be have some vedeos about image pre-processing using erdas imagine software but this vedeo is nice I have really liked it.
If I want to classify using the Maximum Likelihood Classification, can I still follow the same procedure but only change the classification type?
Thanks for sharing very informative video in full explanation. Really commendable. I am facing only one problem. When I do band composition it goes well but in all the three bands it is visible as Red _1, Green_1and Blue_1. Although number of bands are 7 but not as band_1, band_2 etc in every band. Kindly guide me where may be the issue.
I hope they reply because I also have the same issue and it doesn't allow. me to do image classification
@@odwamtembu4176 maybe you haven't activated the extension of spatial analyst ? go to customize and click extension then check spatial analyst, maybe it will help
Do it from Arctoolbox - Data management tools - Raster - Raster Processing - Composite bands. Worked for me!
Sir, how many samples are required for areas like 700sqkm
Please share the same video on unsupervised classification for landsat 8
which method you followed in supervised image classification in this video?
well done sir. Can you further doing it for soil classifications and finalize it with a map?
So helpful...thankyou!😊🙏
Amazing, very helpful
You are welcome :)
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.
You can just Clip it to your boundary polygon
@@4321woodsy how to do that. do you have any video or anything to do that?
@@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
@@4321woodsy I got it. thanks for exlaining me dude. i really appreciate it.
Thank you for this tutorial
Is it possible to detect clouds in natural image based on infrared image..