 Multi-temporal satellite imagery can be composited over a season or other time period to produce imagery which is representative of that period using techniques which will reduce contamination by cloud and other problems. A commonly used technique is the Maximum Normalized Difference Vegetation Index, Maximum NDVI composite, used in conjunction with various constraints. This paper proposes an alternative approach based on selecting the medoid, a multi-dimensional analog of the median, over the time period, which is robust against extreme values and produces a single observation for each pixel. This results in a time series of reflectance values which capture the variability at seasonal time scales. Analysis of the resulting seasonal reflectance values suggests they are more representative of the time series than the Maximum NDVI composite. This article was authored by Neil Flood.