Accuracy Assessment | Kappa Coefficient | User Accuracy| Producer Accuracy| Overall Accuracy

Today I'll show how to do Accuracy Assessment of a classified Landsat Image.
Accuracy Assessment uses a Reference Dataset to determine the accuracy of your classified result. The values of your reference dataset need to match the schema. The most common way to assess the accuracy of a classified map is to create a set of random points from the ground truth data and compare that to the classified data in a confusion matrix. Although this is a two-step process, you may need to compare the results of different classification methods or training sites, or you may not have ground truth data and are relying on the same imagery that you used to create the classification.

Accuracy Assessment Formula
Users Accuracy=(Number of Correctly Classified Pixels in each Category)/(Total number of Classified Pixels in that Category (The Row Total))×100

Producer Accuracy=(Number of Correctly Classified Pixels in each Category)/(Total Number of Reference Pixels in that Category (The Column Total))×100

Overall Accuracy=(Total Number of Correctly Classified Pixels (Diagonal))/(Total Number of Reference Pixels)×100

Kappa Coefficient (T)=((TS×TCS)-∑(Column Total×Row Total))/(TS^2-∑(Column TotalxRow Total))×100

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#arcgis #accuracy_assessment #GIS_RS_Solution #arcgis_tutorials

[mdjanger]

You are too good; i can easily understand and make the map...Thanks for saving people☺

[vincentmusyimi]

I was about to comment on a mistake but you corrected it.... The Video was helpful. Thanks a lot👍

[hanane]

Thank you so much, you helped me a lot, my God protect you insha'Allh

[hamiddoshan]

Excellent video, very useful and complete, as it mentioned all the necessary details

[rambabutenneti]

Hello, It's really wonderful video. It resolves all confusions while doing Kappa Coefficient using User and Producer accuracy.
I found one thing which is not matching with the formula you mentioned for Kappa Coefficient in this video.
In the numerator, Sigma (column total x row total)
in the Denominator, you shown the formula as Sigma (column total - row total), i.e. at 22:57, instead of actual formula you mentioned in the description box.
If it is Sigma (column total x row total) for denominator, the % of K-Coefficient (87%) is OK, Otherwise, It will changed to 68.90% as per the formula mentioned in the video..
Thank you so much...

[sankaraanu]

Thank you You explained very clearly in an understanding way.🙂

[ZareaAndStoowarb]

Thank you for sharing this video. Very much appreciated!

[oluwagbengaaina]

Please how do I remove "unclassified" from the output of my classified land covers?

[bilawaljadoon]

Very informative vedio but i could not know why did you multiply the total row with total column in the denominator of Kappa coefficient as you mentioned to minus the values. Thanks

[ruyidakhan]

Wonderfully explained

Thanks you very much

[marinapatiri]

Cant thank you enough! Your video saved my thesis <3

[muhammadlawan]

I enjoyed this video it really helped to write my thesis

[nataliaarias]

You were very helpful, I am very happy because you helped me understand something that I have to add to my thesis. Thank you so much!! Greetings from Paraguay.

Pd: I think there is a small error in the Kappa coefficient formula, in the denominator it is written (total columns - total rows), the correct thing would be to multiply, right?

[oliverbelga]

Thank you for this video but I am confused with the minus sign in the denominator of the formula(CT-RT). I tried to calculate using the above formula but sad to say i got different answer.

[samiulislamsifat]

Can you re-check kappa coefficient formula? will there be minus or multiple sign? Thanks

[birenkumarbehera]

Can you make a video to find correlation between LULC and Land Surface Temperature (LST) ?

[martialfouedji]

thank you very much mr. I really understand now how to accuracy assessment🙏🙏🙏🙏🙏🙏🙏

[nasreensultana]

Very helpful post.. please make vedios on sentinal-2 related task in google earth engine ..

[charmaineanndullano]

hello can you give me the reference of the formulas you used?

[abhishekr]

hello sir, please send me the copy of the sheet.