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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Published in:Remote Sensing
Main Authors: Avi Putri Pertiwi, Achim Roth, Timo Schaffhauser, Punit Kumar Bhola, Felix Reuß, Samuel Stettner, Claudia Kuenzer, Markus Disse
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs13224695
https://doaj.org/article/c8b7461435134a89b295ee8ff485d3ae
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spelling 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
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