Hi, maybe I missed something, but usually you first sharpen the data cube and then you compute a product like NDVI, because the PAN (albedo) is not really related to a normalized ratio like NDVI. Hope it helps.

Chris

Hi there,

The answer you;'re looking for is so much determined by your definition of "best" and what is the purpose of your NDVI. NDVI is an index, just an index, which shows statistics, and provide you with brief overview of vegetation abundance in the scene. However, you will not know whether your pan-sharpened method will produce better NDVI until you perform an actual application. For example, you can use NDVI (from several pan-sharpened method) to model vegetation canopy percent cover, then you can compare the accuracy of SE of the estimated vegetation canopy percent cover. Afterward, you will get a good idea which pan-sharpened method worked best for your NDVI for your application.

Hope that helps,

Cheers,

Prama