Abstract
This article describes the essential requirements of a geographical information system (GIS), which can visualize, analyze, and measure the spatial data acquired by a drone. The article further delves into the specific algorithms useful for building a GIS system that will be computationally efficient and have a small memory footprint. The GIS needs to be specifically designed for a size-, weight-, and power (SWAP)-constrained system that will operate in the air for a long duration to acquire spatial data without any conventional power supply. Thus, the custom-built GIS needs to employ frequently used computing methods that provide optimal memory and power usage as well.
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