This document outlines a method for delineating yield potential zones within agricultural fields using satellite remote sensing. It involves obtaining open data satellite imagery, computing vegetation indices for each pixel, normalizing by the field average, aggregating over multiple years, resampling the data, and classifying it into zones representing percentages of the average yield. The goal is to identify areas within fields that have similar yield levels. Main steps include preprocessing, computing averages, ratios, aggregation, resampling, and classification. Advantages are usability where yield maps are missing and use of open data, while disadvantages include low resolution, inaccuracies, and lack of cloud-free imagery sometimes.