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A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models

Mohammadi, Ayub (författare)
Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran
Karimzadeh, Sadra (författare)
Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran. Institute of Environment, University of Tabriz, Tabriz 5166616471, Iran; Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama 226-8502, Japan
Jalal, Shazad Jamal (författare)
College of Engineering, University of Sulaimani, Sulaimani 46001, Iraq; Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
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Kamran, Khalil Valizadeh (författare)
Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran
Shahabi, Himan (författare)
Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj 6617715175, Iran; Department of Zrebar Lake Environmental Research, Kurdistan Studies Institute, University of Kurdistan, Sanandaj 6617715175, Iran
Homayouni, Saeid (författare)
Centre Eau Terre Environnement, Institute National de la Recherche Scientifique, Quebec, QC G1K 9A9, Canada
Al-Ansari, Nadhir, 1947- (författare)
Luleå tekniska universitet,Geoteknologi
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Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran Institute of Environment, University of Tabriz, Tabriz 5166616471, Iran; Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama 226-8502, Japan (creator_code:org_t)
2020-12-16
2020
Engelska.
Ingår i: Sensors. - Switzerland : MDPI. - 1424-8220. ; 20:24
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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).

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Geoteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Geotechnical Engineering (hsv//eng)

Nyckelord

DEM
remote sensing
SAR imagery
Malaysia
Iran
Geoteknik
Soil Mechanics

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