Thanks so much for this video!!! Please I am mapping marginal land in Europe using open source datasets like Sentinel-2 Global land cover(S2glc), Corine land cover, Pan-European High Resolution Layers (HRL) tree cover density, Natura 2000 network , DEM, European Soil Database Derived data etc... please do you have any suggestions on the type of reference dataset i can use for the accuracy assessment or any other suggestions please.
For the accuracy accessment if you have some primiary dataset then it is used for validation of your secondary dataset...if you don't have primiary data the you can used high resolution data for valiadation and moderate resolution for processing for example if i have used landsat 8 for processing and sential 2 for its validation.
Bro can you tell how to do accuracy assessment in envi for a SNAP generated classified map?
after 13 min in above video , you will find the process of accuracy assessment using kappa coef. / confusion matrix
Thanks so much for this video!!!
Please I am mapping marginal land in Europe using open source datasets like Sentinel-2 Global land cover(S2glc), Corine land cover, Pan-European High Resolution Layers (HRL) tree cover density, Natura 2000 network , DEM, European Soil Database Derived data etc... please do you have any suggestions on the type of reference dataset i can use for the accuracy assessment or any other suggestions please.
For the accuracy accessment if you have some primiary dataset then it is used for validation of your secondary dataset...if you don't have primiary data the you can used high resolution data for valiadation and moderate resolution for processing for example if i have used landsat 8 for processing and sential 2 for its validation.
Make sure you that your validation data is high resolution data as compared with your processing data
Love this work
Thank you so much
Nice video
Great video, but this is not accuracy assessment this is just to find out the confusion matrix.
yes sir you are right ..this is just finding the kappa coefficient value that means our classification accuracy