We show an application of Moran's Index to process and analyze the waterbody-spread extracted from remotely sensed data. A method that is employed to quantify division-wise waterbody-spread, district-wise waterbody-spread and taluk-wise waterbody-spread spatial complexity is based on Moran's Index computation. The waterbody-spread data for each of the hierarchically partitioned geographical unit-wise (divisions, districts and taluks) of the state of Karnataka was collated from remotely sensed data. The result of Moran's Index calculations on (i) division-wise waterbody-spread, (ii) districts-wise waterbody-spread and (iii) taluks-wise waterbody-spread of Karnataka, India, were analyzed and discussed. The results offer new directions of research within the context environmetrics.