A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Semiautomatic Extraction of the Shoreline from High-Resolution Satellite Imagery and Coastal Terrain Model
Shorelines are line features that mark the interface between water and land and they are essential due to their mapping, ecological, and engineering values. A shoreline can be an instantaneous, which shows the water-land boundary at any time or a tide-referenced, which indicates the intersection of a tidal datum surface such as mean high water and the coastal topobathymetric surface. Instantaneous shorelines can be extracted from geo-referenced aerial photographs and satellite imagery without the need to have its acquisition to be tide-coordinated as in the case of tide-referenced shorelines. In this study, a semiautomatic method of extracting the shoreline from high-resolution satellite imagery and a coastal terrain model (CTM) is presented. This study was motivated by the frequent need for shorelines for input in the numerical models used by Dubai Municipality for obtaining essential parameters for various coastal planning activities. The method utilizes the Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA) for classifying a RapidEye image of the study area, then vectorizing and extracting the shoreline, and finally extracting the elevation of shoreline points from the CTM and adding that to the shoreline point attribute table. The accuracy of the extracted shoreline was carried out by comparing it to a shoreline digitized from an orthophotograph of the study area. The comparison was carried out by computing the point-to-point distances between corresponding points established on the two shorelines using a parametric technique. The results suggest that this method can be used to accurately extract robust shorelines from high-resolution satellite imagery and CTMs.
Semiautomatic Extraction of the Shoreline from High-Resolution Satellite Imagery and Coastal Terrain Model
Shorelines are line features that mark the interface between water and land and they are essential due to their mapping, ecological, and engineering values. A shoreline can be an instantaneous, which shows the water-land boundary at any time or a tide-referenced, which indicates the intersection of a tidal datum surface such as mean high water and the coastal topobathymetric surface. Instantaneous shorelines can be extracted from geo-referenced aerial photographs and satellite imagery without the need to have its acquisition to be tide-coordinated as in the case of tide-referenced shorelines. In this study, a semiautomatic method of extracting the shoreline from high-resolution satellite imagery and a coastal terrain model (CTM) is presented. This study was motivated by the frequent need for shorelines for input in the numerical models used by Dubai Municipality for obtaining essential parameters for various coastal planning activities. The method utilizes the Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA) for classifying a RapidEye image of the study area, then vectorizing and extracting the shoreline, and finally extracting the elevation of shoreline points from the CTM and adding that to the shoreline point attribute table. The accuracy of the extracted shoreline was carried out by comparing it to a shoreline digitized from an orthophotograph of the study area. The comparison was carried out by computing the point-to-point distances between corresponding points established on the two shorelines using a parametric technique. The results suggest that this method can be used to accurately extract robust shorelines from high-resolution satellite imagery and CTMs.
Semiautomatic Extraction of the Shoreline from High-Resolution Satellite Imagery and Coastal Terrain Model
Tarig A Ali (author) / Serter Atabay / Maruf Mortula / Ruijin Ma
2015
Article (Journal)
English
Geodäsie , USA , Zeitschrift