Abstract

The flooding extent area in a river valley is related to river gauge observations such as discharge and water elevations. The higher the water elevations, or discharge, the larger the flooding area. Flooding extent maps are often derived from synthetic aperture radar (SAR) images using thresholding methods. The thresholding methods vary in complexity and number of required parameters. We proposed a simple thresholding method that takes advantage of the correlation between the river gauge and the flooding area. To show the applicability of the method, we used a 2014-2018 time series of 161 Sentinel 1 SAR images acquired over a wetland floodplain located in Northeast Poland. We validated the method by extracting local water line elevations from a high-resolution digital elevation model for three river gauges, which resulted in a root-mean-square error of 0.16 m, a bias of 0.07 m, and a correlation of 0.86 for the best scenario. The scenario analysis showed that the most important factor affecting the method's accuracy was a proper delineation of the zone in which the flooding extent area was calculated. This was because other water sources, uncorrelated with river flow, were present in the floodplain as open water. Additionally, higher accuracy was obtained for the VV than VH polarization. The discharge can be used instead of water elevations as a river gauge variable, but this results in more bias in the water extent estimates.

Highlights

  • F LOODING extent maps developed using satellite synthetic aperture radar (SAR) data have been providing valuable information for crisis response, ecology, or hydraulic modeling

  • We proposed a method for the estimation of the radar backscatter coefficient threshold for flood mapping

  • Our method automatically processed a time series of 161 SAR images with corresponding river gauge observations used as ancillary data

Read more

Summary

Introduction

F LOODING extent maps developed using satellite synthetic aperture radar (SAR) data have been providing valuable information for crisis response, ecology, or hydraulic modeling. Many methods have been developed, of which the most popular choose the radar backscatter threshold below which a SAR data pixel is labeled as flooded either in an automated way [1], [2] or by expert judgment [3]. These simple robust methods have limited applicability in difficult case studies, such as with complex topography or abundant vegetation, and were modified or adapted in more complex methods [4], [5].

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call