Aggregating Images for Time Series

Many remote sensing datasets consist of repeated observations over time. The interval between observations can vary widely. Many applications, however, require computing aggregations of data at time intervals different from those at which the datasets were produced. This chapter will cover the techniques for aggregating individual images from a time series at a chosen interval. We will take the CHIRPS time series of rainfall for one year and aggregate it to create a monthly rainfall time series.