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A Script-Driven Approach to Mapping Satellite-Derived Topography and Gravity Data Over the Zagros Fold-and-Thrust Belt, Iran Cover

A Script-Driven Approach to Mapping Satellite-Derived Topography and Gravity Data Over the Zagros Fold-and-Thrust Belt, Iran

Artificial Satellites
Volume 57 (2022): Issue 2 (June 2022)
By: Polina Lemenkova  
Open Access
|Jul 2022
Figures & tables

Figures & Tables

Figure 1.

Topographic map of Iran. Data source: General Bathymetric Chart of the Oceans (GEBCO), GEBCO Compilation Group (2020). Mapping in GMT.

Figure 2.

Geologic map of Iran. Data source: United States Geological Survey (USGS). Mapping in QGIS.

Figure 3.

Lithologic map of Iran. Data source: United States Geological Survey (USGS). Mapping in QGIS.

Figure 4.

Geoid model of Iran. Data source: Earth Gravitational Model (EGM-2008), Pavlis et al. (2012). Mapping in GMT.

Figure 5.

3D model of Zagros mountains. Data source: ETOPO 5-minute gridded elevation data, Data Announcement 88-MGG-02, Digital relief of the surface of the Earth. NOAA, National Geophysical Data Center, Boulder, Colorado, U.S.A., 1988. URL: ETOPO5. Mapping in GMT.

Figure 6.

Free-air gravity anomaly of Iran. Data source: gravity anomaly from Geosat and ERS 1 satellite altimetry, Sandwell and Smith (1997). Mapping in GMT.

Figure 7.

Elevation model by R ‘raster’ package. Data source: Shuttle Radar Topography Mission (SRTM) DEM, Farr and Kobrick (2000). Mapping in R.

Figure 8.

Slope terrain model based on DEM of Iran. Data source: Shuttle Radar Topography Mission (SRTM) DEM, Farr and Kobrick (2000). Mapping in R.

Figure 9.

Aspect terrain model of Iran. Data source: Shuttle Radar Topography Mission (SRTM) DEM, Farr and Kobrick (2000). Mapping in R.

Figure 10.

Hillshade terrain model of Iran. Data source: Shuttle Radar Topography Mission (SRTM) DEM, Farr and Kobrick (2000). Mapping in R.

Figure 11.

DEM elevation model of Iran. Data source: Shuttle Radar Topography Mission (SRTM) DEM, Farr and Kobrick (2000). Mapping in R.

Listing 1.

GMT code for converting formats and visualising raster in Figure 4

Listing 2.

GMT code for plotting cartographic grid on the image

Listing 3.

GMT code for plotting textual annotations on the image

Listing 4.

GMT code for inserting a small globe map on the image in Figure 1.

Listing 5.

GMT code visualizing the image

Listing 6.

GMT code for 3D image visualisation in Figure 5.

Listing 7.

R code for data capture and uploading necessary packages

Listing 8.

R code visualizing the geomorphological parameters and saving the output data

Listing 9.

R code for visualisation of the geographic map in Figure 8.
DOI: https://doi.org/10.2478/arsa-2022-0006 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
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Language: English
Page range: 110 - 137
Submitted on: Apr 1, 2022
Accepted on: Jun 20, 2022
Published on: Jul 28, 2022
Published by: Polish Academy of Sciences, Space Research Centre
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
geophysics,
cartography,
R,
GMT,
satellite altimetry
Related subjects:
Geosciences,
Geosciences, other

© 2022 Polina Lemenkova, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 57 (2022): Issue 2 (June 2022)