Investigation of temporal baseline effect on DEMs derived from COSMO Sky-Med data

Year 2021, Volume: 6 Issue: 3, 157 - 164, 15.10.2021

Ahmet Tarık Torun , Osman Orhan

https://doi.org/10.26833/ijeg.814319

Cited By: 4

Abstract

Digital elevation models (DEM) are indispensable elements of sensitive earth science studies. It is important the production and usage of DEMs. The science of remote sensing offers scientists an important source of data on this subject. Radar data, which is an active remote sensing system, has an important capacity in this regard. DEM production using InSAR data has been widely used in the literature in the last decade. The temporal baseline parameter, which is an important factor in data generation from InSAR pairs, also affects the final products. In this study, it is aimed to examine the usability of these data by producing short (4days), medium (84 days) and long (440 days) baseline DEMs using InSAR pairs of COSMO Sky-Med satellite. At the same time, photogrammetric DEMs were produced with unmanned aerial vehicles (UAV) in selected pilot areas. The DEMs produced were evaluated in 4 land surface types, namely plain-bare, agricultural, urban and rugged area. In addition, by performing statistical analyzes such as RMSE, MAE, the accuracy of the produced DEMs compared to the DEMs produced with UAV was examined. The results showed that short and medium baseline data give more accurate results than long baseline InSAR pairs. Increasing the temporal baseline, increases the amount of error in the DEMs produced. Also, the effect of land surface types on the produced DEMs was revealed in the results of the study.  

Keywords

InSAR, DEM, Baseline, COSMO Sky-Med

References

• Abdikan S (2007). SAR Görüntülerinden Üretilen İnterferometik Ve Stereo Sayısal Yükseklik Modellerinin Kalitesinin İncelenmesi. Master Thesis, Yıldız Technical University, Graduate School of Science and Engineering, Turkey.
• Airbus (2018). WorldDEM™ Technical Product Specification, Airbus Defence and Space Intelligence.
• Alganci U, Besol B & Sertel E (2018). Accuracy assessment of different digital surface models. ISPRS International Journal of Geo-Information, 7(3), 114.
• Amans O C, Beiping W & Ziggah Y Y (2013). Assessing Vertical Accuracy of SRTM Ver. 4.1 and ASTER GDEM Ver. 2 using Differential GPS Measurements–case study in Ondo State, Nigeria. International Journal of Scientific and Engineering Research, 4(12), 523-531.
• Bamler R & Hartl P (1998). Synthetic aperture radar interferometry. Inverse Probl, 14: R1–R54 .
• Bishop M P, Bonk R, Kamp Jr U & Shroder Jr J F (2001). Terrain analysis and data modeling for alpine glacier mapping. Polar Geography, 25(3), 182-201.
• Covello F, Battazza F, Coletta A, Lopinto E, Fiorentino C, Pietranera L, Valentini & Zoffoli S (2010). COSMO-SkyMed an existing opportunity for observing the Earth. Journal of Geodynamics, 49(3-4), 171-180.
• Crosetto M & Crippa B (2000). Quality assessment of interferometric SAR DEMs. International Archives of Photogrammetry and Remote Sensing, 33(B1; PART 1), 46-53.
• Erasmi S, Rosenbauer R, Buchbach R, Busche T & Rutishauser S (2014). Evaluating the quality and accuracy of TanDEM-X digital elevation models at archaeological sites in the Cilician Plain, Turkey. Remote sensing, 6(10), 9475-9493.
• Erten E, Çelik M F & Şahin Z M (2018). TanDEM-X Digital Elevation Model Generation- TANDEM-X SayısalYükseklik Modelinin Oluşturulması. Harita Dergisi, 84(160), 47-54.
• Farr T G, Rosen P A, Caro E, Crippen R, Duren R, Hensley S, Kobrick M, Paller M, Rodriguez E, Roth L, Seal D, Shaffer S, Shimada J, Umland J, Werner M, Oskin M, Burbank D & Alsdorf D (2007). The shuttle radar topography mission. Reviews of geophysics, 45(2).
• Gao X, Liu Y, Li T & Wu D (2017). High Precision DEM Generation Algorithm Based on InSAR Multi-Look Iteration, Remote Sensing, 9, 741Tracking. Turkish Journal of Geosciences, 1(1), 1-7.
• Gens R (1998). Quality Assessment of SAR Interferometric Data, Ph.D Thesis, Hannover, ISSN 0174 1454
• Güvenç M (2020) Comparatıve evaluatıon of vertıcal accuracy of ground control poınts from ASTER-DEM SRTM-DEM wıth respect to ALOS-DEM. M.Sc. Thesıs. Hasan Kalyoncu Unıversıty Graduate School of Natural and Applıed Scıences.
• Hageman J B, Bennett D A, Westcott K L & Brandon R J (2000). Construction of digital elevation models for archaeological applications. Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit, 121-136.
• Hanssen R F (2001). Radar interferometry: data interpretation and error analysis (Vol. 2). Springer Science & Business Media.
• Hengl T & Evans I S (2009). Mathematical and digital models of the land surface. Developments in soil science, 33, 31-63.
• Jacobsen K (2005). DEMs based on space images versus SRTM height models. In ASPRS annual convention Baltimore.
• Karabörk H, Makineci H B, Orhan O & Karakus P (2021). Accuracy Assessment of DEMs Derived from Multiple SAR Data Using the InSAR Technique. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-020-05128-8
• Kyaruzi J (2005). Quality Assessment of DEM from Radargrammetry Data. M.sc Thesis, International Institute for Geo-information Science and Earth Observation, Enschede, The Netherlandsz.
• Martha T R, Kerle N, Jetten V, van Westen C J & Kumar K V (2010). Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods. Geomorphology, 116(1-2), 24-36.
• Miller C L & Laflamme R A (1958). The Digital Terrain Model-: Theory & Application. MIT Photogrammetry Laboratory.
• Orhan O, Kırtıloğlu O S & Yakar M (2020a). Konya Kapalı Havzası Obruk Envanter Bilgi Sisteminin Oluşturulması. Geomatik, 5(1), 92-104.
• Orhan O, Yakar M & Ekercin S (2020b). An application on sinkhole susceptibility mapping by integrating remote sensing and geographic information systems. Arabian Journal of Geosciences, 13(17), 1-17.
• Peralvo M & Maidment D (2004). Influence of DEM interpolation methods in drainage analysis. Gis Hydro, 4.
• Pope A, Murray T & Luckman A (2007). DEM quality assessment for quantification of glacier surface change. Annals of Glaciology, 46, 189-194.
• Richards J A (2009). Remote sensing with imaging radar (Vol. 1). Berlin: Springer.
• Seferci̇k U (2018). Zamansal Baz Uzunluğunun İleri Nesil Yapay Açıklı Radar Uydu Verilerinin Konum Doğruluğu Üzerindeki Etki Analizi . Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi , 33 (2) , 165-176 . DOI: 10.21605/cukurovaummfd.509184
• Sefercik U G (2007). Comparison of DEM accuracies generated by various methods. In 2007 3rd International Conference on Recent Advances in Space Technologies (pp. 379-382). IEEE.
• Sefercik U G (2010). Generation And Evaluation Of DEMs Derived By TERRASAR-X Insar Images. PhD diss., Zonguldak Karaelmas University, Graduate School of Science and Engineering, Turkey.
• Sefercik U G, Buyuksalih G & Atalay C (2020). DSM generation with bistatic TanDEM-X InSAR pairs and quality validation in inclined topographies and various land cover classes. Arabian Journal of Geosciences, 13(13), 1-15.
• Şengün Y S (2009). GPS ve Insar ölçülerini birlikte kullanarak İzmit depreminde oluşan deformasyonların belirlenmesi: Nokta seyrekleştirmede yeni bir algoritma. PhD Thesis, Istanbul Technical University, Graduate School of Science Engineering and Technology.
• Song R, Guo H, Liu G, Perski Z, Yue H, Han C & Fan J (2014). Improved Goldstein SAR interferogram filter based on adaptive-neighborhood technique. IEEE Geoscience and Remote Sensing Letters, 12(1), 140-144. doi: 10.1109/LGRS.2014.2329498.
• Szypuła B (2017). Digital elevation models in geomorphology. Hydro-Geomorphology-Models and Trends. InTechOpen, 2017b, 81-112.
• Tachikawa T, Kaku M, Iwasaki A, Gesch D B, Oimoen M J, Zhang Z, Denielson J, Krieger T, Curtis B, Haase J, Abrams M, Crippen R & Carabajal C (2011). ASTER global digital elevation model version 2-summary of validation results. NASA.
• Tadono T, Ishida H, Oda F, Naito S, Minakawa K & Iwamoto H (2014). Precise global DEM generation by ALOS PRISM. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2(4), 71.
• Yang X & Hodler T (2000). Visual and statistical comparisons of surface modeling techniques for point-based environmental data, Cartography and Geographic Information Science, 27(2):165–175.
• Yang K, Smith L C, Chu V W, Gleason C J & Li M (2015). A caution on the use of surface digital elevation models to simulate supraglacial hydrology of the Greenland ice sheet. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(11), 5212-5224.
• Yılmaztürk S (2015). Sbas-ınsar Yöntemiyle Düşey Yönlü Yüzey Deformasyonlarının Belirlenmesi: Bursa-orhaneli Linyit Madeni Örneği. Master Thesis, İstanbul Technical University, Instıtute of Science and Technology, Turkey.
• Zebker H A, Goldstein R M (1986). Topographic mapping from interferometric SAR observations, J Geophys Res, 91:4493–4999.