Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products
Due to the remote location and the extreme climate, monitoring stations in Arctic rivers such as Lena in Siberia have been decreasing through time. Every year, after a long harsh winter, the accumulated snow on the Lena watershed melts, leading to the major annual spring flood event causing heavy tr...
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Multidisciplinary Digital Publishing Institute (MDPI)
2021
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Online Access: | https://elib.dlr.de/145829/ https://elib.dlr.de/145829/1/remotesensing-13-04695.pdf https://www.mdpi.com/2072-4292/13/22/4695/pdf |
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ftdlr:oai:elib.dlr.de:145829 2024-01-14T10:04:30+01:00 Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products Pertiwi, Avi Putri Roth, Achim Schaffhauser, Timo Bhola, Punit Kumar Reuß, Felix Stettner, Samuel Künzer, Claudia Disse, Markus 2021-11-22 application/pdf https://elib.dlr.de/145829/ https://elib.dlr.de/145829/1/remotesensing-13-04695.pdf https://www.mdpi.com/2072-4292/13/22/4695/pdf en eng Multidisciplinary Digital Publishing Institute (MDPI) https://elib.dlr.de/145829/1/remotesensing-13-04695.pdf Pertiwi, Avi Putri und Roth, Achim und Schaffhauser, Timo und Bhola, Punit Kumar und Reuß, Felix und Stettner, Samuel und Künzer, Claudia und Disse, Markus (2021) Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products. Remote Sensing, 13 (4695), Seiten 1-19. Multidisciplinary Digital Publishing Institute (MDPI). doi:10.3390/rs13224695 <https://doi.org/10.3390/rs13224695>. ISSN 2072-4292. Dynamik der Landoberfläche Zeitschriftenbeitrag PeerReviewed 2021 ftdlr https://doi.org/10.3390/rs13224695 2023-12-18T00:24:00Z Due to the remote location and the extreme climate, monitoring stations in Arctic rivers such as Lena in Siberia have been decreasing through time. Every year, after a long harsh winter, the accumulated snow on the Lena watershed melts, leading to the major annual spring flood event causing heavy transport of sediments, organic carbon, and trace metals, both into as well as within the delta. This study aims to analyze the hydrodynamic processes of the spring flood taking place every year in the Lena Delta. Thus, a combination of remote sensing techniques and hydrodynamic modeling methodologies is used to overcome limitations caused by missing ground-truth data. As a test site for this feasibility study, the outlet of the Lena River to its delta was selected. Lena Delta is an extensive wetland spanning from northeast Siberia into the Arctic Ocean. Spaceborne Synthetic Aperture Radar (SAR) data of the TerraSAR-X/TanDEM-X satellite mission served as input for the hydrodynamic modeling software HEC-RAS. The model resulted in inundation areas, flood depths, and flow velocities. The model accuracy assessed by comparing the multi-temporal modeled inundation areas with the satellite-derived inundation areas ranged between 65 and 95%, with kappa coefficients ranging between 0.78 and 0.97, showing moderate to almost perfect levels of agreement between the two inundation boundaries. Modeling results of high flow discharges show a better agreement with the satellite-derived inundation areas compared to that of lower flow discharges. Overall, the remote-sensing-based hydrodynamic modeling succeeded in indicating the increase and decrease in the inundation areas, flood depths, and flow velocities during the annual flood events. Article in Journal/Newspaper Arctic Arctic Ocean lena delta lena river Siberia German Aerospace Center: elib - DLR electronic library Arctic Arctic Ocean Remote Sensing 13 22 4695 |
institution |
Open Polar |
collection |
German Aerospace Center: elib - DLR electronic library |
op_collection_id |
ftdlr |
language |
English |
topic |
Dynamik der Landoberfläche |
spellingShingle |
Dynamik der Landoberfläche Pertiwi, Avi Putri Roth, Achim Schaffhauser, Timo Bhola, Punit Kumar Reuß, Felix Stettner, Samuel Künzer, Claudia Disse, Markus Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products |
topic_facet |
Dynamik der Landoberfläche |
description |
Due to the remote location and the extreme climate, monitoring stations in Arctic rivers such as Lena in Siberia have been decreasing through time. Every year, after a long harsh winter, the accumulated snow on the Lena watershed melts, leading to the major annual spring flood event causing heavy transport of sediments, organic carbon, and trace metals, both into as well as within the delta. This study aims to analyze the hydrodynamic processes of the spring flood taking place every year in the Lena Delta. Thus, a combination of remote sensing techniques and hydrodynamic modeling methodologies is used to overcome limitations caused by missing ground-truth data. As a test site for this feasibility study, the outlet of the Lena River to its delta was selected. Lena Delta is an extensive wetland spanning from northeast Siberia into the Arctic Ocean. Spaceborne Synthetic Aperture Radar (SAR) data of the TerraSAR-X/TanDEM-X satellite mission served as input for the hydrodynamic modeling software HEC-RAS. The model resulted in inundation areas, flood depths, and flow velocities. The model accuracy assessed by comparing the multi-temporal modeled inundation areas with the satellite-derived inundation areas ranged between 65 and 95%, with kappa coefficients ranging between 0.78 and 0.97, showing moderate to almost perfect levels of agreement between the two inundation boundaries. Modeling results of high flow discharges show a better agreement with the satellite-derived inundation areas compared to that of lower flow discharges. Overall, the remote-sensing-based hydrodynamic modeling succeeded in indicating the increase and decrease in the inundation areas, flood depths, and flow velocities during the annual flood events. |
format |
Article in Journal/Newspaper |
author |
Pertiwi, Avi Putri Roth, Achim Schaffhauser, Timo Bhola, Punit Kumar Reuß, Felix Stettner, Samuel Künzer, Claudia Disse, Markus |
author_facet |
Pertiwi, Avi Putri Roth, Achim Schaffhauser, Timo Bhola, Punit Kumar Reuß, Felix Stettner, Samuel Künzer, Claudia Disse, Markus |
author_sort |
Pertiwi, Avi Putri |
title |
Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products |
title_short |
Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products |
title_full |
Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products |
title_fullStr |
Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products |
title_full_unstemmed |
Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products |
title_sort |
monitoring the spring flood in lena delta with hydrodynamic modeling based on sar satellite products |
publisher |
Multidisciplinary Digital Publishing Institute (MDPI) |
publishDate |
2021 |
url |
https://elib.dlr.de/145829/ https://elib.dlr.de/145829/1/remotesensing-13-04695.pdf https://www.mdpi.com/2072-4292/13/22/4695/pdf |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean lena delta lena river Siberia |
genre_facet |
Arctic Arctic Ocean lena delta lena river Siberia |
op_relation |
https://elib.dlr.de/145829/1/remotesensing-13-04695.pdf Pertiwi, Avi Putri und Roth, Achim und Schaffhauser, Timo und Bhola, Punit Kumar und Reuß, Felix und Stettner, Samuel und Künzer, Claudia und Disse, Markus (2021) Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products. Remote Sensing, 13 (4695), Seiten 1-19. Multidisciplinary Digital Publishing Institute (MDPI). doi:10.3390/rs13224695 <https://doi.org/10.3390/rs13224695>. ISSN 2072-4292. |
op_doi |
https://doi.org/10.3390/rs13224695 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
22 |
container_start_page |
4695 |
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1788059023797387264 |