The Integration of ArcGIS Drone2Map with ArcGIS Pro Software to Solve the Miss Alignment in Processed Drone Data to Extract Shoreline

Abstract Shoreline is defined as the boundary between sea and land, and its accurate extraction plays a crucial role in both the economic and ecological value of coastal areas during the significant impacts of global warming and sea-level rise. Recently, satellite remote sensing is widely used for environmental monitoring. High-resolution imagery provided by drones shows great improvement in accuracy and subtle variation of details of shoreline extraction compared to traditional satellite data. Reliability and quality under different remote sensing-based extraction techniques rely on several interrelated factors. For example, High-resolution photography will be necessary for the kind and caliber of input data needed for precise feature recognition along the shoreline. Furthermore, despite the increased resolution, shifting environmental factors like lighting or vegetation cover may cause drone-UAV picture quality to deteriorate, decreasing the precision of coastline delineation. An accurate processing for drone imagery is critical to maintaining the high-resolution drone imagery. ArcGIS package offers a powerful tool, such as Drone2Map and ArcGIS Pro, to process image whether it delivered from drone or satellite. Unfortunately, the significant shift between processed data and basemap has been observed when Drone2Map has been used in the processing. The reality mapping tool in ArcGIS Pro has been used to decrease the shift to a few centimeters which is acceptable result to create the Digital Surface Model (DSM) from the drone Imagery.