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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ftdoajarticles:oai:doaj.org/article:c8b7461435134a89b295ee8ff485d3ae 2023-05-15T14:55:50+02:00 Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products Avi Putri Pertiwi Achim Roth Timo Schaffhauser Punit Kumar Bhola Felix Reuß Samuel Stettner Claudia Kuenzer Markus Disse 2021-11-01T00:00:00Z https://doi.org/10.3390/rs13224695 https://doaj.org/article/c8b7461435134a89b295ee8ff485d3ae EN eng MDPI AG https://www.mdpi.com/2072-4292/13/22/4695 https://doaj.org/toc/2072-4292 doi:10.3390/rs13224695 2072-4292 https://doaj.org/article/c8b7461435134a89b295ee8ff485d3ae Remote Sensing, Vol 13, Iss 4695, p 4695 (2021) TerraSAR-X TanDEM-X hydrodynamic modeling spring flood Arctic watershed remote sensing of rivers Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13224695 2022-12-30T20:31:58Z 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 Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Remote Sensing 13 22 4695 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
TerraSAR-X TanDEM-X hydrodynamic modeling spring flood Arctic watershed remote sensing of rivers Science Q |
spellingShingle |
TerraSAR-X TanDEM-X hydrodynamic modeling spring flood Arctic watershed remote sensing of rivers Science Q Avi Putri Pertiwi Achim Roth Timo Schaffhauser Punit Kumar Bhola Felix Reuß Samuel Stettner Claudia Kuenzer Markus Disse Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products |
topic_facet |
TerraSAR-X TanDEM-X hydrodynamic modeling spring flood Arctic watershed remote sensing of rivers Science Q |
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 |
Avi Putri Pertiwi Achim Roth Timo Schaffhauser Punit Kumar Bhola Felix Reuß Samuel Stettner Claudia Kuenzer Markus Disse |
author_facet |
Avi Putri Pertiwi Achim Roth Timo Schaffhauser Punit Kumar Bhola Felix Reuß Samuel Stettner Claudia Kuenzer Markus Disse |
author_sort |
Avi Putri Pertiwi |
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 |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13224695 https://doaj.org/article/c8b7461435134a89b295ee8ff485d3ae |
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_source |
Remote Sensing, Vol 13, Iss 4695, p 4695 (2021) |
op_relation |
https://www.mdpi.com/2072-4292/13/22/4695 https://doaj.org/toc/2072-4292 doi:10.3390/rs13224695 2072-4292 https://doaj.org/article/c8b7461435134a89b295ee8ff485d3ae |
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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1766327836608561152 |