CHANGE VECTOR ANALYSIS - A TECHNIQUE FOR THE MULTISPECTRAL MONITORINGOF LAND-COVER AND CONDITION

Change vector analysis (CVA) is a robust approach for detecting and ch aracterizing radiometric change in multispectral remote sensing data s ets. CVA is reviewed as a useful technique to: (1) process the full di mensionality of multispectral/multi-layer data so as to ensure detecti on of all change present in the data; (2) extract and exploit the 'com ponents' of change in multispectral data; and (3) facilitate compositi on and analysis of change images. Examples drawn from various projects are included throughout this methodological discussion, in order to i llustrate the CVA approach and suggest its potential utility.