Identifying Insar Point Scatterers Corresponding to Water Levels within the Urban Environment

Conference Paper (2024)
Author(s)

Yustisi Lumban-Gaol (TU Delft - Mathematical Geodesy and Positioning)

Ramon F. Hanssen (TU Delft - Mathematical Geodesy and Positioning)

Research Group
Mathematical Geodesy and Positioning
DOI related publication
https://doi.org/10.1109/IGARSS53475.2024.10641328
More Info
expand_more
Publication Year
2024
Language
English
Research Group
Mathematical Geodesy and Positioning
Pages (from-to)
10668-10672
ISBN (electronic)
9798350360325
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The repeat period of SAR data and its side-looking characteristics make InSAR time series analysis useful for water level monitoring applications. The standard approach determines corresponding scatterers by focusing the study area on the multipath radar reflections that include the water level. This paper introduces an alternative approach to identifying such signals using two metrics: cosine similarity and temporal differential coherence. The results show that temporal differential coherence can detect phase variations similar to water level by constantly returning high values even when there is an offset, while cosine similarity yields low scores. Within an urban environment, this approach finds point scatterers corresponding to water level changes in or near water, such as permanent floating objects, bridges, and buildings adjacent to water, where the highest differential coherence value was acquired from a permanent floating restaurant in open water.

Files

Identifying_Insar_Point_Scatte... (pdf)
(pdf | 6.77 Mb)
- Embargo expired in 05-03-2025
License info not available