change-detection

From README

Change Detection & Spatio-temporal Analysis Purpose: separate real surface change from the four great impostors — misregistration, radiometric drift, phenology, and classification error. Every method below exists to control one of them; skipping the controls produces confident maps of nothing. Preconditions (where change detection is won or lost) Preconditions 1 and 2 are checked here but established elsewhere. When either fails, the owning skill leads and this skill resumes once comparable observations exist. Precondition 3 is this skill's own problem and is never a reason to route away. Co-registration: sub-pixel alignment between dates (AROSICS or manual tie-points). Half a pixel of shift creates edge-shaped phantom change everywhere. Verify: flicker-compare crisp features. For elevation surfaces or point clouds, vertical datum agreement, co-registration and the vertical-accuracy budget belong to point-cloud-lidar — a datum offset is not subsidence.