Vertical accuracy assessment of freely available digital elevation models over low-lying coastal plains. Issue 3 (3rd March 2016)

• Record Type: Journal Article
• Authors: Du, Xiaoping; Guo, Huadong; Fan, Xiangtao; Zhu, Junjie; Yan, Zhenzhen; Zhan, Qin
• Is Part Of: International journal of digital earth. Volume 9:Issue 3(2016)
• Page Start: 252
• Page End: 271
• Publication Date: 2016-03-03
• Subjects: DEM -- ICESat/GLAS -- SRTM -- ASTER GDEM -- elevation accuracy -- coastal flood modelling; Geographic information systems -- Periodicals; Sustainable development -- Information technology -- Periodicals; Social planning -- Information technology -- Periodicals; 910.285
• DOI: 10.1080/17538947.2015.1026853
• Languages: English
• ISSNs: 1753-8947

Abstract

Abstract : The frequency of coastal flood damages is expected to increase significantly during the twenty-first century as sea level rises in the coastal floodplain. Coastal digital elevation model (DEM) data describing coastal topography are essential for assessing future flood-related damages and understanding the impacts of sea-level rise. The Shuttle Radar Topography Mission (SRTM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) are currently the most accurate and freely available DEM data. However, an accuracy assessment specifically targeted at DEMs over low elevation coastal plains is lacking. The present study focuses on these areas to assess the vertical accuracy of SRTM and ASTER GDEM using Ice, Cloud, and land Elevation Satellite, Geoscience Laser Altimeter System (ICESat/GLAS) and Real Time Kinematic (RTK) Global Positioning System (GPS) field survey data. The findings show that DEM accuracy is much better than the mission specifications over coastal plains. In addition, optical remote sensing image analysis further reveals the relationship between DEM vertical accuracy and land cover in these areas. This study provides a systematic approach to assess the accuracy of DEMs in coastal zones, and the results highlight the limitations and potential of these DEMs in coastal applications.