Monoplotting is the process of generating a map or representation of terrain from a digital aerial image. This technique involves extracting spatial information and features from the digital imagery to create an accurate and detailed depiction of the topography, landscape, or surface characteristics of a particular area. Monoplotting typically utilizes digital mapping and georeferencing methods to ensure the precise alignment of image elements with real-world geographic coordinates, facilitating the creation of an informative and geospatially accurate map of the observed terrain.


Semi-supervised Identification and Mapping of Water Accumulation Extent using Street-level Monitoring Videos

Urban flooding is becoming a common and devastating hazard, which causes life loss and economic damage. Monitoring and understanding urban flooding in a highly localized scale is a challenging task due to the complicated urban landscape, intricate hydraulic process, and the lack of high-quality and resolution data. The emerging smart city technology such as monitoring cameras provides an unprecedented opportunity to address the data issue. However, estimating water ponding extents on land surfaces based on monitoring footage is unreliable using the traditional segmentation technique because the boundary of the water ponding, under the influence of varying weather, background, and illumination, is usually too fuzzy to identify, and the oblique angle and image distortion in the video monitoring data prevents georeferencing and object-based measurements. This paper presents a novel semi-supervised segmentation scheme for surface water extent recognition from the footage of an oblique monitoring camera. The semi-supervised segmentation algorithm was found suitable to determine the water boundary and the monoplotting method was successfully applied to georeference the pixels of the monitoring video for the virtual quantification of the local drainage process. The correlation and mechanism-based analysis demonstrate the value of the proposed method in advancing the understanding of local drainage hydraulics. The workflow and created methods in this study have a great potential to study other street level and earth surface processes.