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Impact of Resampling and Interpolation Methods on the Quality of Digital Elevation Models
Publicated to:Lecture Notes In Mechanical Engineering. 723-737 - 2025-01-01 (), DOI: 10.1007/978-3-031-72829-7_58
Authors: Mesa LI; Benedito JLP; Echavarría-Caballero C; García-García MJ
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Abstract
This study explores the impact of resampling and interpolation methods on the quality of Digital Elevation Models served from Cloud Optimized GeoTIFF files and compares Nearest, Bilinear, and Lanczos methods in terms of computational performance. Cloud-optimized GeoTIFF files have significantly enhanced the distribution of large elevation datasets, crucial for various disciplines. However, resampling during reprojection and pyramid tiling generation can introduce artifacts such as terracing, which affects data integrity. Interpolation methods have been implemented to increase the visualization resolution from 25 to 2 m. Visual, statistic and comparative profiles analysis were made. The results showed that while the Nearest neighbor” method is inappropriate due to the introduction of artificial terraces, the model obtained by the Lanczos method offers a good fit, adequately describing the roughness and singularities of the terrain. The Lanczos interpolation method can be considered a good alternative for a quality representation of the landform.
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Quality index
Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal Lecture Notes In Mechanical Engineering, Q4 Agency Scopus (SJR), its regional focus and specialization in , give it significant recognition in a specific niche of scientific knowledge at an international level.
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Leadership analysis of institutional authors
There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Mesa L.I.) and Last Author (GARCIA GARCIA, MARIA JESUS).