2024 | Maarten Pronk, Aljosja Hooijer, Dirk Eilander, Arjen Haag, Tjalling de Jong, Michalis Voudoukas, Ronald Vernimmen, Hugo Ledoux, Marieke Eleveld
DeltaDTM is a globally available, high-resolution (1 arcsecond or ~30 meters) coastal Digital Terrain Model (DTM) designed to address the limitations of existing elevation datasets in coastal management, flood modeling, and adaptation planning. The model corrects the CopernicusDEM dataset using spaceborne lidar data from the ICESat-2 and GEDI missions, reducing vertical biases and removing non-terrain cells. The classification approach used in DeltaDTM outperforms regression methods, achieving an overall mean absolute error (MAE) of 0.45 meters, compared to 0.72 meters for the best previous high-resolution product. DeltaDTM is validated against local airborne lidar datasets and cross-validated against ICESat-2, demonstrating its accuracy and global applicability. The model is particularly useful for coastal flood impact modeling and other applications, offering a valuable resource for researchers and practitioners.DeltaDTM is a globally available, high-resolution (1 arcsecond or ~30 meters) coastal Digital Terrain Model (DTM) designed to address the limitations of existing elevation datasets in coastal management, flood modeling, and adaptation planning. The model corrects the CopernicusDEM dataset using spaceborne lidar data from the ICESat-2 and GEDI missions, reducing vertical biases and removing non-terrain cells. The classification approach used in DeltaDTM outperforms regression methods, achieving an overall mean absolute error (MAE) of 0.45 meters, compared to 0.72 meters for the best previous high-resolution product. DeltaDTM is validated against local airborne lidar datasets and cross-validated against ICESat-2, demonstrating its accuracy and global applicability. The model is particularly useful for coastal flood impact modeling and other applications, offering a valuable resource for researchers and practitioners.