@misc{10481/77339, year = {2021}, month = {12}, url = {https://hdl.handle.net/10481/77339}, abstract = {This study evaluates the horizontal positional accuracy of a new algorithm that defines a surface that approximates DEM data by means of a spline function. This algorithm allows evaluating the surface at any point in its definition domain and allows analytically estimating other parameters of interest, such as slopes, orientations, etc. To evaluate the accuracy achieved with the algorithm, we use a reference DEM 2 m × 2 m (DEMref) from which the derived DEMs are obtained at 4 m × 4 m, 8 m × 8 m and 16 m × 16 m (DEMder). For each DEMder its spline approximant is calculated, which is evaluated at the same points occupied by the DEMref cells, getting a resampled DEM 2x2m (DEMrem). The horizontal accuracy is obtained by computing the area amongs the homologous contour lines derived from DEMref and DEMrem, respectively. It has been observed that the planimetric errors of the proposed algorithm are very small, even in flat areas, where you could expect major differences. Therefore, this algorithm could be used when an evaluation of the horizontal positional accuracy of a DEM product at lower resolution (DEMpro) and a different producing source than the higher resolution DEMref is wanted.}, publisher = {Copernicus}, keywords = {Spline}, keywords = {Bernstein basis}, keywords = {Control points}, keywords = {Bézier ordinates}, keywords = {Tensor product}, keywords = {Resample}, keywords = {Horizontal accuracy}, keywords = {DEM}, title = {Horizontal accuracy assessment of a novel algorithm for approximate a surface to a DEM}, doi = {10.5194/ica-proc-4-11-2021}, author = {Barrera Rosillo, Domingo and Ibáñez Pérez, María José and Eddargani, Salah and Romero Zaliz, Rocio Celeste}, }