A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models
Digital elevation model (DEM) plays a vital role in hydrological modelling and environmental studies. Many essential layers can be extracted from this land surface information, including slope, aspect, rivers, and curvature. Therefore, DEM quality and accuracy will affect the extracted features and...
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| Format: | Article |
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MDPI AG
2020-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/24/7214 |
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| author | Ayub Mohammadi Sadra Karimzadeh Shazad Jamal Jalal Khalil Valizadeh Kamran Himan Shahabi Saeid Homayouni Nadhir Al-Ansari |
| author_facet | Ayub Mohammadi Sadra Karimzadeh Shazad Jamal Jalal Khalil Valizadeh Kamran Himan Shahabi Saeid Homayouni Nadhir Al-Ansari |
| author_sort | Ayub Mohammadi |
| collection | DOAJ |
| description | Digital elevation model (DEM) plays a vital role in hydrological modelling and environmental studies. Many essential layers can be extracted from this land surface information, including slope, aspect, rivers, and curvature. Therefore, DEM quality and accuracy will affect the extracted features and the whole process of modeling. Despite freely available DEMs from various sources, many researchers generate this information for their areas from various observations. Sentinal-1 synthetic aperture radar (SAR) images are among the best Earth observations for DEM generation thanks to their availabilities, high-resolution, and C-band sensitivity to surface structure. This paper presents a comparative study, from a hydrological point of view, on the quality and reliability of the DEMs generated from Sentinel-1 data and DEMs from other sources such as AIRSAR, ALOS-PALSAR, TanDEM-X, and SRTM. To this end, pair of Sentinel-1 data were acquired and processed using the SAR interferometry technique to produce a DEM for two different study areas of a part of the Cameron Highlands, Pahang, Malaysia, a part of Sanandaj, Iran. Based on the estimated linear regression and standard errors, generating DEM from Sentinel-1 did not yield promising results. The river streams for all DEMs were extracted using geospatial analysis tool in a geographic information system (GIS) environment. The results indicated that because of the higher spatial resolution (compared to SRTM and TanDEM-X), more stream orders were delineated from AIRSAR and Sentinel-1 DEMs. Due to the shorter perpendicular baseline, the phase decorrelation in the created DEM resulted in a lot of noise. At the same time, results from ground control points (GCPs) showed that the created DEM from Sentinel-1 is not promising. Therefore, other DEMs’ performance, such as 90-meters’ TanDEM-X and 30-meters’ SRTM, are better than Sentinel-1 DEM (with a better spatial resolution). |
| first_indexed | 2024-03-10T14:01:29Z |
| format | Article |
| id | doaj.art-dd5f4fff31174613bcb932e1b32e92b0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T14:01:29Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-dd5f4fff31174613bcb932e1b32e92b02023-11-21T01:09:41ZengMDPI AGSensors1424-82202020-12-012024721410.3390/s20247214A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological ModelsAyub Mohammadi0Sadra Karimzadeh1Shazad Jamal Jalal2Khalil Valizadeh Kamran3Himan Shahabi4Saeid Homayouni5Nadhir Al-Ansari6Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, IranDepartment of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, IranCollege of Engineering, University of Sulaimani, Sulaimani 46001, IraqDepartment of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, IranDepartment of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj 6617715175, IranCentre Eau Terre Environnement, Institute National de la Recherche Scientifique, Quebec, QC G1K 9A9, CanadaDepartment of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 971 87 Lulea, SwedenDigital elevation model (DEM) plays a vital role in hydrological modelling and environmental studies. Many essential layers can be extracted from this land surface information, including slope, aspect, rivers, and curvature. Therefore, DEM quality and accuracy will affect the extracted features and the whole process of modeling. Despite freely available DEMs from various sources, many researchers generate this information for their areas from various observations. Sentinal-1 synthetic aperture radar (SAR) images are among the best Earth observations for DEM generation thanks to their availabilities, high-resolution, and C-band sensitivity to surface structure. This paper presents a comparative study, from a hydrological point of view, on the quality and reliability of the DEMs generated from Sentinel-1 data and DEMs from other sources such as AIRSAR, ALOS-PALSAR, TanDEM-X, and SRTM. To this end, pair of Sentinel-1 data were acquired and processed using the SAR interferometry technique to produce a DEM for two different study areas of a part of the Cameron Highlands, Pahang, Malaysia, a part of Sanandaj, Iran. Based on the estimated linear regression and standard errors, generating DEM from Sentinel-1 did not yield promising results. The river streams for all DEMs were extracted using geospatial analysis tool in a geographic information system (GIS) environment. The results indicated that because of the higher spatial resolution (compared to SRTM and TanDEM-X), more stream orders were delineated from AIRSAR and Sentinel-1 DEMs. Due to the shorter perpendicular baseline, the phase decorrelation in the created DEM resulted in a lot of noise. At the same time, results from ground control points (GCPs) showed that the created DEM from Sentinel-1 is not promising. Therefore, other DEMs’ performance, such as 90-meters’ TanDEM-X and 30-meters’ SRTM, are better than Sentinel-1 DEM (with a better spatial resolution).https://www.mdpi.com/1424-8220/20/24/7214DEMremote sensingSAR imageryMalaysiaIran |
| spellingShingle | Ayub Mohammadi Sadra Karimzadeh Shazad Jamal Jalal Khalil Valizadeh Kamran Himan Shahabi Saeid Homayouni Nadhir Al-Ansari A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models Sensors DEM remote sensing SAR imagery Malaysia Iran |
| title | A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models |
| title_full | A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models |
| title_fullStr | A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models |
| title_full_unstemmed | A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models |
| title_short | A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models |
| title_sort | multi sensor comparative analysis on the suitability of generated dem from sentinel 1 sar interferometry using statistical and hydrological models |
| topic | DEM remote sensing SAR imagery Malaysia Iran |
| url | https://www.mdpi.com/1424-8220/20/24/7214 |
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