Image Fusion Using Sentinel 1 and Sentinel 2

[ABraun]

please see here:

Supervised and unsupervised classification, Sentinel 2

if the unsupervised classification took too long you can subset your image and test it (a whole S2 scene could take really long for a cluster or EM analysis) reduce the number of clusters Choose another classifier (EM and K-means take different time) For a supervised classification you have to define geometries including your training areas. [image] Make one per class you want to detect. [image] They are stored in the vector Data folder (don’t mind about pins and gcps) [image] You can t…