Volume 16, Issue 1, May 2016, Pages 84–93
Pinatibi Hyann1, COULIBALY Naga2, Coulibaly Talnan Jean Honoré3, and Savané Issiaka4
1 Laboratoire Géosciences et Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
2 Laboratoire Géosciences et Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
3 Laboratoire Géosciences et Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
4 Laboratoire Géosciences et Environnement (LGE), UFR Sciences et Gestion de l'Environnement (SGE), Université Nangui Abrogoua (UNA), Côte d'Ivoire
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
A DEM is a numerical and mathematical sketch of an area in terms of elevation (Charleux , 2001). Thus this source of information is used in many areas of daily life (mapping, defense, development and urban planning, civil engineering, telecommunications, geomorphology, hydrology, etc.).The results of its use often contain errors that are not generally perceived by the user. In this study, contours of topographic map were used to create two test digital elevation models (DEM) by using two interpolation methods the TIN (Triangulated Irregular Networks) method and the IDW (Inverse Distance Weight) method. These two models were then compared to a reference DEM, product of interferometry radar technology (SRTM images) to detect major errors on our test DEMs. It is clear from this analysis that: On the interpolated DEMs, summit areas are affected by underestimation of altitude and thalweg areas are affected by overestimation of altitude. However, these errors are not impacted on the overall quality of the DEM.
Author Keywords: DEM, TIN, IDW, Summit, Thalweg, Dengu.
Pinatibi Hyann1, COULIBALY Naga2, Coulibaly Talnan Jean Honoré3, and Savané Issiaka4
1 Laboratoire Géosciences et Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
2 Laboratoire Géosciences et Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
3 Laboratoire Géosciences et Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
4 Laboratoire Géosciences et Environnement (LGE), UFR Sciences et Gestion de l'Environnement (SGE), Université Nangui Abrogoua (UNA), Côte d'Ivoire
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
A DEM is a numerical and mathematical sketch of an area in terms of elevation (Charleux , 2001). Thus this source of information is used in many areas of daily life (mapping, defense, development and urban planning, civil engineering, telecommunications, geomorphology, hydrology, etc.).The results of its use often contain errors that are not generally perceived by the user. In this study, contours of topographic map were used to create two test digital elevation models (DEM) by using two interpolation methods the TIN (Triangulated Irregular Networks) method and the IDW (Inverse Distance Weight) method. These two models were then compared to a reference DEM, product of interferometry radar technology (SRTM images) to detect major errors on our test DEMs. It is clear from this analysis that: On the interpolated DEMs, summit areas are affected by underestimation of altitude and thalweg areas are affected by overestimation of altitude. However, these errors are not impacted on the overall quality of the DEM.
Author Keywords: DEM, TIN, IDW, Summit, Thalweg, Dengu.
How to Cite this Article
Pinatibi Hyann, COULIBALY Naga, Coulibaly Talnan Jean Honoré, and Savané Issiaka, “Characterization of error on a digital elevation model (DEM) Based on morphological zones: Case of the Denguélé District (North-west of Côte d’Ivoire),” International Journal of Innovation and Applied Studies, vol. 16, no. 1, pp. 84–93, May 2016.
