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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ftmdpi:oai:mdpi.com:/2072-4292/13/22/4695/ 2023-08-20T04:04:10+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 agris 2021-11-20 application/pdf https://doi.org/10.3390/rs13224695 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs13224695 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 22; Pages: 4695 TerraSAR-X TanDEM-X hydrodynamic modeling spring flood Arctic watershed remote sensing of rivers HEC-RAS Text 2021 ftmdpi https://doi.org/10.3390/rs13224695 2023-08-01T03:18:57Z 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. Text Arctic Arctic Ocean lena delta lena river Siberia MDPI Open Access Publishing Arctic Arctic Ocean Remote Sensing 13 22 4695 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
TerraSAR-X TanDEM-X hydrodynamic modeling spring flood Arctic watershed remote sensing of rivers HEC-RAS |
spellingShingle |
TerraSAR-X TanDEM-X hydrodynamic modeling spring flood Arctic watershed remote sensing of rivers HEC-RAS 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 HEC-RAS |
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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13224695 |
op_coverage |
agris |
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; Volume 13; Issue 22; Pages: 4695 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs13224695 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
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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1774714587402207232 |