Next Article in Journal
The Spatiotemporal Implications of Urbanization for Urban Heat Islands in Beijing: A Predictive Approach Based on CA–Markov Modeling (2004–2050)
Previous Article in Journal
Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment
Previous Article in Special Issue
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth
Article

Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products

1
German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), 82234 Wessling, Germany
2
Hydrology and River Basin Management, Technical University of Munich (TUM), 80333 Munich, Germany
3
Sachverständigenbüro für Luftbildauswertung und Umweltfragen (SLU), 81243 Munich, Germany
4
Alfred-Wegener-Institut (AWI), 14401 Potsdam, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Fariba Mohammadimanesh, Masoud Mahdianpari, Brian Brisco and Bahram Salehi
Remote Sens. 2021, 13(22), 4695; https://doi.org/10.3390/rs13224695
Received: 26 October 2021 / Revised: 16 November 2021 / Accepted: 16 November 2021 / Published: 20 November 2021
(This article belongs to the Special Issue Wetland Monitoring Using Remote Sensing)
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. View Full-Text
Keywords: TerraSAR-X; TanDEM-X; hydrodynamic modeling; spring flood; Arctic watershed; remote sensing of rivers; HEC-RAS TerraSAR-X; TanDEM-X; hydrodynamic modeling; spring flood; Arctic watershed; remote sensing of rivers; HEC-RAS
Show Figures

Figure 1

MDPI and ACS Style

Pertiwi, A.P.; Roth, A.; Schaffhauser, T.; Bhola, P.K.; Reuß, F.; Stettner, S.; Kuenzer, C.; Disse, M. Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products. Remote Sens. 2021, 13, 4695. https://doi.org/10.3390/rs13224695

AMA Style

Pertiwi AP, Roth A, Schaffhauser T, Bhola PK, Reuß F, Stettner S, Kuenzer C, Disse M. Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products. Remote Sensing. 2021; 13(22):4695. https://doi.org/10.3390/rs13224695

Chicago/Turabian Style

Pertiwi, Avi P., Achim Roth, Timo Schaffhauser, Punit K. Bhola, Felix Reuß, Samuel Stettner, Claudia Kuenzer, and Markus Disse. 2021. "Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on SAR Satellite Products" Remote Sensing 13, no. 22: 4695. https://doi.org/10.3390/rs13224695

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop