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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
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.
College of Engineering, University of Sulaimani, Sulaimani 46001, Iraq; Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
Department of Remote Sensing and GIS, University of Tabriz, Tabriz 5166616471, Iran.
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2020 (English)In: Sensors, E-ISSN 1424-8220, Vol. 20, no 24, article id 7214Article in journal (Refereed) Published
Abstract [en]

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).

Place, publisher, year, edition, pages
Switzerland: MDPI, 2020. Vol. 20, no 24, article id 7214
Keywords [en]
DEM, remote sensing, SAR imagery, Malaysia, Iran
National Category
Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-82024DOI: 10.3390/s20247214ISI: 000603343800001PubMedID: 33339435Scopus ID: 2-s2.0-85098223450OAI: oai:DiVA.org:ltu-82024DiVA, id: diva2:1510801
Note

Validerad;2021;Nivå 2;2021-01-04 (alebob);

Finansiär: National Elites Foundation of Iran (GRC98-04469-1), University of Tabriz (102/1670)

Available from: 2020-12-17 Created: 2020-12-17 Last updated: 2024-04-08Bibliographically approved

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Al-Ansari, Nadhir

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