Abstract
This work presents an iterative method for obtaining a digital terrain model (DTM) from a digital surface model (DSM) given as input. The novel approach is compared to a state-of-the-art method from the literature using three case studies that represent diverse situations and landscapes including a coastal region composed of dunes, a mountain region, and also an urban area. The proposed method was revealed to be a promising alternative in terms of a better root-mean-square error. Input surface artifacts are successfully removed with the adoption of the proposed method.
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Notes
- 1.
The R source code of Terra is available at: https://www.umr-lisah.fr/?q=fr/scriptsr/terra-script-r.
- 2.
The R source code of SIM is available at https://github.com/emmendorfer/sim.
- 3.
All ellipsoidal height coordinates obtained by the survey were adjusted to orthometric heights using the geoid heights provided by the MAPGEO2015 software, which were made available by the Instituto Brasileiro de Geografia e Estatística (IBGE).
- 4.
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Emmendorfer, L.R., Emmendorfer, I.B., de Almeida, L.P.M., Leal Alves, D.C., Neto, J.A. (2021). A Self-interpolation Method for Digital Terrain Model Generation. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12949. Springer, Cham. https://doi.org/10.1007/978-3-030-86653-2_26
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