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2024 Vol.46, Issue 1 Preview Page

Article

Land Surface Dynamics and Underwater Topography from the Latest DTM Extraction to Measure the Antarctica Ice Sheet Thickness
Atriyon Julzarika1*
1Research Organization for Earth and Maritime, National Research and Innovation Agency (BRIN), Cibinong 16915, Indonesia
*Corresponding Author
30 March 2024. pp. 65-82
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Abstract

The Antarctica ice sheet thickness is one of the important information to know the dynamics of changes in the Earth's environment. Geospatial data of the ice sheet surface, land surface and underwater topography, and vertical deformation can be used for ice sheet thickness measurement and calculation. They can be extracted from the latest DTM. The latest DTM is one of the methods and products to extract up-to-date and detailed topography based on the dynamics of the vertical deformation period. This study aims to measure the Antarctica ice sheet thickness based on land surface dynamics and underwater topography from the latest DTM extraction. The vertical accuracy of the DTM, DSM, and vertical deformation uses a 95 % (1.96σ) confidence level. The ice thickness is divided into three types of ice layers according to the reference field: ice thickness above land, ice thickness (above the sea), and ice thickness (underwater). Ice thickness above land has a volume (3,700,299.5 km3), an area (6,767,772 km2), and a total length perimeter (114,569 km). Ice thickness (above the sea) has a volume (28,103,427.8 km3), an area (13,438,789 km2), and a total perimeter length (27,199 km). Ice thickness (underwater) has a volume (1,793,778.6 km3), an area (3,223,036 km2), and a total length perimeter (46,556 km). Antarctica's ice sheet thickness results can be used for various thematic applications of the dynamics of the Earth's environment.

Keywords
The Latest DTM
Antarctica
Ice Sheet Thickness
Ice Surface
Land Surface and Underwater Topography
References
1
Arana M, Martín RS, Nagore I, Pérez D (2011) What precision in the digital terrain model is required for noise mapping? Appl Acoust 72(8):522-526. doi:10.1016/j.apacoust.2010.06.010 10.1016/j.apacoust.2010.06.010
2
ASPRS (2014) Accuracy standards for digital geospatial data. The American Society for Photogrammetry and Remote Sensing. https://www.asprs.org/a/society/divisions/pad/Accuracy/ Accessed 17 Jul 2017
3
Baek J, Choi Y (2017) A new algorithm to find raster-based least-cost paths using cut and fill operations. Int J Geogr Inf Sci 31(11):2234-2254. doi:10.1080/13658816.2017.1356463 10.1080/13658816.2017.1356463
4
Bamber JL, Griggs JA (2009) A new 1 km digital elevation model of the Antarctic derived from. TC 3(1):101-111 10.5194/tc-3-101-2009
5
Bayer B, Simoni A, Schmidt D, Bertello L (2017) Using advanced InSAR techniques to monitor landslide deformations induced by tunneling in the Northern Apennines, Italy. Eng Geo 226:20-32. doi:10.1016/j.enggeo.2017.03.026 10.1016/j.enggeo.2017.03.026
6
Caló F, Notti D, Galve JP, Abdikan S, Görüm T, Pepe A, Şanli FB (2017) DInSAR-based detection of land subsidence and correlation with groundwater depletion in Konya plain, Turkey. Remote Sens 9(1):83. doi:10.3390/rs9010083 10.3390/rs9010083
7
Caro Cuenca M, Hooper AJ, Hanssen RF (2013) Surface deformation induced by water influx in the abandoned coal mines in Limburg, The Netherlands observed by satellite radar interferometry. J Appl Geophys 88:1-11. doi:10.1016/j.jappgeo.2012.10.003 10.1016/j.jappgeo.2012.10.003
8
Devanthéry N, Crosetto M, Cuevas-González M, Monserrat O, Barra A, Crippa B (2016) Deformation monitoring using persistent scatterer interferometry and Sentinel-1 SAR data. Procedia Comput Sci 100:1121-1126. doi:10.1016/j.procs.2016.09.263 10.1016/j.procs.2016.09.263
9
Dias P, Catalao J, Marques FO (2018) Sentinel-1 InSAR data applied to surface deformation in Macaronesia (Canaries and Cape Verde). Procedia Comput Sci 138:382-387. doi:10.1016/j.procs.2018.10.054 10.1016/j.procs.2018.10.054
10
Dorschel B, Hehemann L, Viquerat S, Warnke F, Dreutter S, Tenberge YS, Accettella D, An L, Barrios F, Bazhenova E (2022) The international bathymetric chart of the southern ocean version 2. Sci Data 9(1):1-13. doi:10.1038/s41597-022-01366-7 10.1038/s41597-022-01366-735672417PMC9174482
11
ESA (2012) Sentinel-1: ESA's radar observatory mission for GMES operational services (ESA SP-1322/1, March 2012). European Space Agency. https://sentinel.esa.int/documents/247904/349449/s1_sp-1322_1.pdf Accessed 12 Mar 2022
12
ESA (2014) Sentinel-1. European Space Agency. https://sentinel.esa.int/web/sentinel/missions/sentinel-1 Accessed 18 Jan 2022
13
Florinsky IV (1998) Accuracy of local topographic variables derived from digital elevation models. Int J Geogr Inf Sci 12(1):47-61. doi:10.1080/136588198242003 10.1080/136588198242003
14
Gallant JC, Read AM, Dowling TI (2012) Removal of tree offsets from SRTM and other digital surface models. In: 2012 XXII ISPRS Congress, Melbourne Convention and Exhibition Centre, Melbourne, Australia, 25 Aug-1 Sep 2012, pp 275-280. doi:10.5194/isprsarchives-XXXIX-B4-275-2012 10.5194/isprsarchives-XXXIX-B4-275-2012
15
Ghilani CD (2018) Adjustment computations: spatial data analyses. 6th Edition, John Wiley & Sons, Inc., New Jersey, 695 p 10.1002/9781119390664
16
Hooper A, Bekaert D, Spaans K, Arikan M (2012) Recent advances in SAR interferometry time series analysis for measuring crustal deformation. Tectonophysics 514-517:1-13. doi:10.1016/j.tecto.2011.10.013 10.1016/j.tecto.2011.10.013
17
Huang MH, Bürgmann R, Hu JC (2016) Fifteen years of surface deformation in Western Taiwan: insight from SAR interferometry. Tectonophysics 692:252-264. doi:10.1016/j.tecto.2016.02.021 10.1016/j.tecto.2016.02.021
18
Julzarika A (2015) Height model integration using ALOS PALSAR, X SAR, SRTM C, and IceSAT/GLAS. IjReses 12(2):107-116. doi:10.30536/j.ijreses.2015.v12.a2691 10.30536/j.ijreses.2015.v12.a2691
19
Julzarika A, Aditya T, Subaryono Harintaka Dewi RD, Subehi L (2021a) Integration of the latest Digital Terrain Model (DTM) with Synthetic Aperture Radar (SAR) bathymetry. J Degrade Min Land Manage 8(3):2502-2458. doi:10.15243/jdmlm 10.15243/jdmlm
20
Julzarika A, Aditya T, Subaryono S, Harintaka H (2021b) The latest DTM using InSAR for dynamics detection of Semangko Fault-Indonesia. GAC 47(3):118-130. doi:10.3846/gac.2021.12621 10.3846/gac.2021.12621
21
Julzarika A, Aditya T, Subaryono S, Harintaka H (2022) Dynamics topography monitoring in peatland using the latest digital terrain model. JAES 20(1):246-253. doi:10.5937/jaes0-31522 10.5937/jaes0-31522
22
Julzarika A, Djurdjani D (2019) DEM classifications: opportunities and potential of its applications. J Degrade Min Land Manage 6(4)1897-1905. doi:10.15243/jdmlm.2019.064.1897 10.15243/jdmlm.2019.064.1897
23
Julzarika A, Harintaka (2019) Indonesian DEMNAS: DSM or DTM? IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), BPPT Building, Jakarta, Indonesia, 2019, pp 31-36. doi: 10.1109/AGERS48446.2019.9034351. 10.1109/AGERS48446.2019.9034351
24
Krauß T (2018) A new simplified DSM-to-DTM algorithm - dsm-to-dtm-step Preprints 2018:2018070017. doi:10.20944/preprints201807.0017.v1 10.20944/preprints201807.0017.v1
25
Kubla (2019) How accurate is the grid method for calculating earthworks cut & fill volumes? Kubla Software. https://www.kublasoftware.com/grid-method-accuracy/ Accessed 25 Apr 2022
26
Kulp SA, Strauss BH (2018) CoastalDEM: a global coastal digital elevation model improved from SRTM using a neural network. Remote Sens Environ 206:231-239. doi:10.1016/j.rse.2017.12.026 10.1016/j.rse.2017.12.026
27
Lancre JC, Fischer R, Harper B, Hunter P, Jones M, Kerr A, Laughton A, Ritchie S, Scott D, Whitmarsh M (2003) History of Gebco. The General Bathymetric Chart of the Oceans. GITC bv, Lemmer, The Netherlands, 149 p
28
Lemenkova P (2021) Dataset compilation by grass gis for thematic mapping of antarctica: topographic surface, ice thickness, subglacial bed elevation and sediment thickness. CPR 11(1):67-85. doi:10.5817/CPR2021-1-6 10.5817/CPR2021-1-6
29
Li Z, Zhu Q, Gold C (2004) Digital terrain modeling: principles and methodology. 1st ed., CRC Press, Boca Raton, 323 p 10.1201/9780203357132
30
Liao H, Meyer FJ, Scheuchl B, Mouginot J, Joughin I, Rignot E (2018) Ionospheric correction of InSAR data for accurate ice velocity measurement at polar regions. Remote Sens Environ 209:116-180. doi:10.1016/j.rse.2018.02.048 10.1016/j.rse.2018.02.048
31
Liosis N, Marpu PR, Pavlopoulos K, Ouarda TBMJ (2018) Ground subsidence monitoring with SAR interferometry techniques in the rural area of Al Wagan, UAE. Remote Sens Environ 216:276-288. doi:10.1016/j.rse.2018.07.001 10.1016/j.rse.2018.07.001
32
Maghsoudi Y, Meer F Van Der Hecker C, Perissin D, Saepuloh A (2018) Using PS-InSAR to detect surface deformation in geothermal areas of West Java in Indonesia. Int J Appl Earth Obs Geoinformation 64:386-396. doi:10.1016/j.jag.2017.04.001 10.1016/j.jag.2017.04.001
33
Monserrat O, Crosetto M, Luzi G (2014) A review of ground-based SAR interferometry for deformation measurement. ISPRS J Photogramm 93:40-48. doi:10.1016/j.isprsjprs.2014.04.001 10.1016/j.isprsjprs.2014.04.001
34
NASA (2018) Remote sensors. National Aeronautics and Space Administration. https://earthdata.nasa.gov/user-resources/remote-sensors Accessed 17 Apr 2022
35
NASA (2019) ICESat-2. National Aeronautics and Space Administration. Goddard. https://www.nasa.gov/content/goddard/icesat-2 Accessed 18 Apr 2022
36
Nasir S, Iqbal IA, Ali Z, Shahzad A (2015) Accuracy assessment of digital elevation model generated from Pleiades tri stereo-pair. 2015 7th International Conference on Recent Advances in Space Technologies (RAST), Istanbul, Turkey, pp 193-197. doi:10.1109/RAST.2015.7208340. 10.1109/RAST.2015.7208340
37
Nelson DA, Cottle JM (2017) Long-term geochemical and geodynamic segmentation of the paleo-pacific margin of gondwana: insight from the Antarctic and Adjacent Sectors. Tectonics 36(12):3229-3247. doi:10.1002/2017 TC004611 10.1002/2017TC004611
38
Paxman GJG, Jamieson SSR, Hochmuth K, Gohl K, Bentley MJ, Leitchenkov G, Ferraccioli F (2019) Reconstructions of Antarctic topography since the Eocene-Oligocene boundary. J Paleo 535:109346. doi:10.1016/j.palaeo.2019.109346 10.1016/j.palaeo.2019.109346
39
Rucci A, Ferretti A, Monti Guarnieri A, Rocca F (2012) Sentinel 1 SAR interferometry applications: the outlook for sub millimeter measurements. Remote Sens Environ 120:156-163. doi:10.1016/j.rse.2011.09.030 10.1016/j.rse.2011.09.030
40
Ruzgiene B, Berteška T, Gečyte S, Jakubauskiene E, Aksamitauskas VČ (2015) The surface modelling based on UAV Photogrammetry and qualitative estimation. Measurement 73:619-627. doi:10.1016/j.measurement.2015.04.018 10.1016/j.measurement.2015.04.018
41
Schumann GJP, Bates PD (2019) Commentary: the need for a high-accuracy, open-access global DEM. Front Earth Sci 7:33. doi:10.3389/feart.2019.00033 10.3389/feart.2019.00033
42
Suhadha AG, Julzarika A (2022) Dynamic displacement using DInSAR of Sentinel-1 in Sunda Strait. Trends Sci 19(13):4623. doi:10.48048/tis.2022.4623 10.48048/tis.2022.4623
43
Suhadha AG, Julzarika A, Ardha M, Chusnayah F (2021) Monitoring vertical deformations of the coastal city of Palu after earthquake 2018 Using Parallel-SBAS. 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), Bali, Indonesia, pp 1-6. doi:10.1109/APSAR52370.2021.9688380 10.1109/APSAR52370.2021.9688380
44
Tarikhi P (2012) Liqui-InSAR; SAR interferometry for aquatic body. In: 2012 XXII ISPRS Congress, Melbourne Convention and Exhibition Centre, Melbourne, Australia, 25 Aug-1 Sep 2012, pp 85-90. doi:10.5194/isprsarchives-XXXIX-B7-85-2012 10.5194/isprsarchives-XXXIX-B7-85-2012
45
TerraColor (2023) TerraColor NextGen satellite. Earthstar Geographics. https://www.terracolor.net/terracolor-nextgen/ Accessed 15 Mar 2023
46
Venera J, Anton F, Irina K, Alena Y (2016) SAR interferometry technique for ground deformation assessment on Karazhanbas Oilfield. Procedia Comput Sci 100:1163-1167. doi:10.1016/j.procs.2016.09.271 10.1016/j.procs.2016.09.271
47
Vernimmen R, Hooijer A, Akmalia R, Fitranatanegara N, Mulyadi D, Yuherdha A, Andreas H, Page S (2020) Mapping deep peat carbon stock from a LiDAR based DTM and field measurements, with application to eastern Sumatra. Carbon Balance Manage 15(1):1-18. doi:10.1186/s13021-020-00139-2 10.1186/s13021-020-00139-232206931PMC7227361
48
Xin X, Liu B, Di K, Jia M, Oberst J (2018) High-precision co-registration of orbiter imagery and digital elevation model constrained by both geometric and photometric information. ISPRS J Photogramm 144:28-37. doi:10.1016/j.isprsjprs.2018.06.016 10.1016/j.isprsjprs.2018.06.016
49
Zhang Y, Zhang Y, Zhang Y, Li X (2016) Automatic Extraction of DTM from low resolution DSM by two steps semi-global filtering. In: XXIII ISPRS Congress, Hotel Grandior Czech, Prague, Czech Republic, 12-19 Jul 2016, pp 249-255. doi:10.5194/isprs-annals-III-3-249-2016 10.5194/isprs-annals-III-3-249-2016
50
Znachko‐Yavorskiy GA (1978) The topography of Antarctica. Polar Geography 2(1):1-13. doi:10.1080/10889377809388634 10.1080/10889377809388634
Information
  • Publisher :Korea Institute of Ocean Science and Technology
  • Publisher(Ko) :한국해양과학기술원
  • Journal Title :Ocean and Polar Research
  • Journal Title(Ko) :Ocean and Polar Research
  • Volume : 46
  • No :1
  • Pages :65-82
  • Received Date : 2023-06-08
  • Revised Date : 2024-01-16
  • Accepted Date : 2024-01-18
  • DOI :https://doi.org/10.4217/OPR.2024002
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