MAPPING SOUTH CAROLINAS HISTORIC RICE FIELDS: LEARNING FROM THE PAST TO PREPARE FOR THE FUTURE
This project will build upon historical research and maps, as well as previous LiDAR mapping research of South Carolina rice fields, but with newer analysis techniques and technologies. The full implementation of ESRI’s constantly improving deep learning and classification technologies within ArcGIS Pro will allow the creation of the most complete and temporally accurate rice field maps to date and in a fraction of the time of conventional “hands-on” methods. Additionally, this project will serve to test the efficacy of the “low-code/no-code” deep learning tools within ArcGIS Pro, especially as they pertain to Archaeo-Environmental research using remote sensing data. This combination of GIS computing and new high-resolution LiDAR data in the prospection and mapping of South Carolina's historic rice fields will not only help researchers to understand the physical and socio-political landscape of the antebellum south but will also inform on the lasting cultural, ecological, and hydrological effects on the coastal environments in which they reside. Additionally, integrating these technologies into the research of the state's rice fields will inform on these resources' conservation and preservation needs, how best to address these needs, and in what order.