Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries

This study investigates the potential of satellite altimetry for water level time series estimation of smaller inland waters where only very few measurements above the water surface are available. A new method was developed using off-nadir measurements to estimate the parabola generated by the hooki...

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Main Authors: Eva Boergens, Denise Dettmering, Christian Schwatke, Florian Seitz
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/8/2/91
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spelling doaj-2c01ec7dd6c2412dbc39c9ed152dc22e2020-11-24T20:52:10ZengMDPI AGRemote Sensing2072-42922016-01-01829110.3390/rs8020091rs8020091Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its TributariesEva Boergens0Denise Dettmering1Christian Schwatke2Florian Seitz3Deutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, GermanyDeutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, GermanyDeutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, GermanyDeutsches Geodätisches Forschungsinstitut, Technische Universität München, Arcisstraße 21, 80333 Munich, GermanyThis study investigates the potential of satellite altimetry for water level time series estimation of smaller inland waters where only very few measurements above the water surface are available. A new method was developed using off-nadir measurements to estimate the parabola generated by the hooking effect. For this purpose, a new waveform retracker was used as well as an adopted version of the RANdom SAmple Consensus (RANSAC) algorithm. The method is applied to compute time series of the water levels height of the Mekong River and some of its tributaries from Envisat high-frequency data. Reliable time series can be obtained from river crossings with widths of less than 500 m and without direct nadir measurements over the water. The expected annual variations are clearly depicted and the time series well agree with available in situ gauging data. The mean RMS value is 1.22 m between the resulting time series and in situ data, the best result is 0.34 m, the worst 2.26 m, and 80% of the time series have an RMS below 1.5 m.http://www.mdpi.com/2072-4292/8/2/91satellite altimetryinland waterEnvisatRANSACMekong basinwater level time series
collection DOAJ
language English
format Article
sources DOAJ
author Eva Boergens
Denise Dettmering
Christian Schwatke
Florian Seitz
spellingShingle Eva Boergens
Denise Dettmering
Christian Schwatke
Florian Seitz
Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries
Remote Sensing
satellite altimetry
inland water
Envisat
RANSAC
Mekong basin
water level time series
author_facet Eva Boergens
Denise Dettmering
Christian Schwatke
Florian Seitz
author_sort Eva Boergens
title Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries
title_short Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries
title_full Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries
title_fullStr Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries
title_full_unstemmed Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries
title_sort treating the hooking effect in satellite altimetry data: a case study along the mekong river and its tributaries
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2016-01-01
description This study investigates the potential of satellite altimetry for water level time series estimation of smaller inland waters where only very few measurements above the water surface are available. A new method was developed using off-nadir measurements to estimate the parabola generated by the hooking effect. For this purpose, a new waveform retracker was used as well as an adopted version of the RANdom SAmple Consensus (RANSAC) algorithm. The method is applied to compute time series of the water levels height of the Mekong River and some of its tributaries from Envisat high-frequency data. Reliable time series can be obtained from river crossings with widths of less than 500 m and without direct nadir measurements over the water. The expected annual variations are clearly depicted and the time series well agree with available in situ gauging data. The mean RMS value is 1.22 m between the resulting time series and in situ data, the best result is 0.34 m, the worst 2.26 m, and 80% of the time series have an RMS below 1.5 m.
topic satellite altimetry
inland water
Envisat
RANSAC
Mekong basin
water level time series
url http://www.mdpi.com/2072-4292/8/2/91
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