Unsupervised Coastline Detection And Tracing In Sar Images

Morphological changes in coastal areas, especially in river estuaries, are of high interest in many parts of the world. Satellite data from both optical and radar sensors can help to monitor and investigate these changes. Data from both kinds of sensors being available for up to 30 years now, allow examinations over large timescales, while high resolution sensors developed within the last decade allow increased accuracy. So the creation of digital elevation models (DEMs) of, for example, the wadden sea from a series of satellite images is already possible. ENVISAT, successfully launched on March 1, 2002, continues the line of higher resolution synthetic aperture radar (SAR) imaging sensors with its ASAR instrument and now also allows several polarization modes for better separation of land and water areas. This article gives an overview of sensors and algorithms for waterline determination as well as several applications. Both optical and SAR images are considered. Applications include morphodynamic monitoring studies and DEM generation.

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“…Sophisticated and adapted algorithms for SAR images are needed (e.g. (Dellepiane et al 2004;Lee and Jurkevich 1990;Liu and Jezek 2004)). …”

Section: Waterlines Derived From Sar Imagesmentioning

confidence: 99%

Topography and morphodynamics in the German Bight using SAR and optical remote sensing data

2005

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“…The number of satellite SAR missions is increasing, and some 5 × 20 m resolution datasets are freely available, e.g., those acquired by the Sentinel-1 mission of the European Space Agency (ESA). Various authors have used SAR imagery to detect shorelines and flood limits along lakes, rivers, and coastlines [19][20][21][22][23][24]. Compared to other types of remotely sensed data, SAR images are useful for shoreline detection as they provide the strongest contrast between land and water [1], though wind and waves can reduce this contrast [21].…”

Section: Introductionmentioning

confidence: 99%

“…Various authors have used SAR imagery to detect shorelines and flood limits along lakes, rivers, and coastlines [19][20][21][22][23][24]. Compared to other types of remotely sensed data, SAR images are useful for shoreline detection as they provide the strongest contrast between land and water [1], though wind and waves can reduce this contrast [21]. For the Dutch coast, where the average annual cloud cover is 67% [25], the ability of SAR to penetrate clouds and collect images independent of daylight conditions allows for a complete and systematic set of images.…”

Section: Introductionmentioning

confidence: 99%

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

et al. 2017

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This paper presents a semi-automated approach to detecting coastal shoreline change with high spatial-and temporal-resolution using X-band synthetic aperture radar (SAR) data. The method was applied at the Sand Motor, a "mega-scale" beach nourishment project in the Netherlands. Natural processes, like waves, wind, and tides, gradually distribute the highly concentrated sand to adjacent beaches. Currently, various in-situ techniques are used to monitor the Sand Motor on a monthly basis. Meanwhile, the TerraSAR-X satellite collects two high-resolution (3 × 3 m), cloud-penetrating SAR images every 11 days. This study investigates whether shorelines detected in TerraSAR-X imagery are accurate enough to monitor the shoreline dynamics of a project like the Sand Motor. The study proposes and implements a semi-automated workflow to extract shorelines from all 182 available TerraSAR-X images acquired between 2011 and 2014. The shorelines are validated using bi-monthly RTK-GPS topographic surveys and nearby wave and tide measurements. A valid shoreline could be extracted from 54% of the images. The horizontal accuracy of these shorelines is approximately 50 m, which is sufficient to assess the larger scale shoreline dynamics of the Sand Motor. The accuracy is affected strongly by sea state and partly by acquisition geometry. We conclude that using frequent, high-resolution TerraSAR-X imagery is a valid option for assessing coastal dynamics on the order of tens of meters at approximately monthly intervals.

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“…Satellite data have been orthorectified using a photogrammetric rigorous model when orbital metadata and ground control points (GCP) with proper accuracy were available, and in the case of radar data a Range-Doppler method described in [Small and Schubert, 2008] was adopted. Object-oriented techniques for the automatic extraction of shorelines from optical data are applied, whereas for radar data a "standard" methodology widely applied for C-band data [Lee and Jurkevich, 1990] was compared with an innovative approach based on Pulse Coupled Neural Networks (PCNN). PCNN entered the field of image processing in the 1990s, following upon the publication of a new neuron model [Eckhorn et al, 1990].…”

Section: Methodsmentioning

confidence: 99%

An application of COSMO-Sky Med to coastal erosion studies

Palazzo¹,

Latini

Baiocchi

et al. 2012

European Journal of Remote Sensing

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Started in 2009, the COSMOCoast project aims to the investigation of the potential of Remote Sensing in support to the management of coastal areas. Particular attention is paid to the contribution of data acquired from the COSMO-SkyMed constellation, in view of their frequency of acquisitions and ground resolution; in particular this paper aims at assessing the potential of COSMO-SkyMed data for coastline delineation. The results are conceived to be of particular interest for public administration bodies in charge of coastal defense.

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Unsupervised Coastline Detection And Tracing In Sar Images

Cited by 29 publications

References 7 publications

Topography and morphodynamics in the German Bight using SAR and optical remote sensing data

Topography and morphodynamics in the German Bight using SAR and optical remote sensing data

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

An application of COSMO-Sky Med to coastal erosion studies

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