A research contribution to improve the accuracy of the free global digital elevation model SRTM-1 in areas of the Syrian coast

Authors

  • marah baddour tishreen university
  • Fadi CHAABAN Tishreen University
  • Omar AL KHALIL Tishreen University

Keywords:

DEM, SRTM-1, Accuracy assessment, Accuracy Improvement, Field elevation points, Syrian coast

Abstract

In this study, the vertical accuracy of the free digital elevation model SRTM-1 (study area: Damsarkho - Lattakia, Bathaniya - Tartous) was evaluated by comparing it with reference elevation points based on statistical coefficients. We used a methodology that improves the accuracy of the SRTM-1 model, as we adopted the injection of field elevation points within this model. The number of injected points was increased 10 points each time until we reached 220 points, and a comparison was made with the reference height points in each injection. In the plain area (Damserkho), it was found that there was an improvement in the accuracy of SRTM-1 by 22.5% as the standard deviation decreased from 1.86 m to 1.44 m, and there was a good inverse correlation between the number of input points and the standard deviation, which proves that it is a practical and simple way to increase the accuracy of SRTM -1 to a certain extent, but the increase in the number of points over a certain limit (in our study, we reached 250 points), we did not notice any improvement in accuracy. Also for the hilly area (Bathaniya), we injected 10 points each time within the elevation pattern until we reached 340 points. The accuracy improved by 47.6%, as the standard deviation decreased from 8.08 m to 4.23 m.

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Published

2022-11-17

How to Cite

1.
بدور م, فادي شعبان, عمر الخليل. A research contribution to improve the accuracy of the free global digital elevation model SRTM-1 in areas of the Syrian coast. Tuj-eng [Internet]. 2022Nov.17 [cited 2024Apr.19];44(5):253-72. Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/13023

Issue

Vol. 44 No. 5 (2022): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Master student researches

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