XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/4: Water]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: SHALLOW-WATER BATHYMETRY OVER VARIABLE BOTTOM TYPES USING MULTISPECTRAL WORLDVIEW-2 IMAGE G. Doxani, M. Papadopoulou, P. Lafazani, C. Pikridas, M. Tsakiri-Strati

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia SHALLOW-WATER BATHYMETRY OVER VARIABLE BOTTOM TYPES USING MULTISPECTRAL WORLDVIEW-2 IMAGE G. Doxani®, M. Papadopoulou®, P. Lafazani’, C. Pikridas®, M. Tsakiri-Strati* * Dept. Cadastre, Photogrammetry and Cartography, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece Dept. Geodesy and Topography, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece - gdoxani, papmar, lafazani, cpik, martsaki@topo.auth.gr Technical Commission VIII/4 KEY WORDS: Multispectral Bathymetry, Linear Regression, Radiometric Correction, GPS, Echo Sounder ABSTRACT: Image processing techniques that involve multispectral remotely sensed data are considered attractive for bathymetry applications as they provide a time- and cost-effective solution to water depths estimation. In this paper the potential of 8-bands image acquired by Worldview-2 satellite in providing precise depth measurements was investigated. Multispectral image information was integrated with available echo sounding and GPS data for the determination of the depth in the area of interest. In particular the main objective of this research was to evaluate the effectiveness of high spatial and spectral resolution of the new imagery data on water depth measurements using the Lyzenga linear bathymetry model. The existence of sea grass in a part of the study area influenced the linear relationship between water reflectance and depth. Therefore the bathymetric model was applied in three image parts: an area with sea grass, a mixed area and a sea grass-free area. In the last two areas the model worked successfully supported by the multiplicity of the imagery bands. 1. INTRODUCTION Accurate bathymetric measurements are considered of fundamental importance towards monitoring sea bottom and producing nautical charts in support of marine navigation. Until recently, bathymetric surveying of shallow sea water has been mainly based on conventional ship-borne echo sounding operations. However, this technique demands cost and time, particularly in shallow waters, where a dense network of measured points is required. Taking all these under consideration, during the last decades remotely sensed data have provided a cost- and time-effective solution to accurate depth estimation (Lyzenga, 1985; Stumpf et al., 2003; Su et al., 2008). The initial attempts for automatic estimation of water depth were based on the combination of aerial multispectral data and radiometric techniques (Lyzenga, 1978). With the advent of Landsat images, the methods of monitoring sea floor were increased and ameliorated, so as to be efficiently applied on optical satellite images (Lyzenga, 1981; Spitzer and Dirks, 1987; Philpot, 1989; Van Hengel and Spitzer, 1991). In the following years, the advance of remote sensing technology expanded the use of these methodologies to data with improved spatial and spectral resolution, i.e. Ikonos (Stumpf et al., 2003; Mishra et al. 2006; Su et al., 2008), Quickbird (Conger et al., 2006; Lyons et al, 2011) and Worldview-2 data (Kerr, 2010, Bramante et al. 2010). The main hindrances while applying these processes were reflectance penetration and water turbidity (Conger et al., 2006; Su et al., 2008). However, the bathymetric approaches involving satellite imagery data are regarded as a fast and economically advantageous solution to automatic water depth calculation in shallow water (Stumpf et al., 2003; Su et al., 2008). A wide variety of empirical models has been proposed and evaluated for bathymetric estimations by establishing the statistical relationship between image pixel values and field- measured water depth values. The most popular approach was proposed by Lyzenga (1978, 1981, 1985) and was based on the fact that the bottom-reflected reflectance is approximately a linear function of the bottom reflectance and an exponential function of the water depth. Jupp (1989) introduced an algorithm for determining firstly the depth of penetration (DOP) zones for every band and then for calibrating depths within DOP zones. Stumpf et al. (2003) presented an algorithm using a ratio of reflectance and demonstrated its benefits to retrieve depths even in deep water (725m) contrary to standard linear transform algorithm. Moreover a modified version of Lyzenga's model has been proposed by Conger et al. (2006) employing a single colour band and LIDAR bathymetry data rather than two colour bands in rotating process. The aim of this paper was to evaluate the contribution of the eight bands of Worldview-2 imagery in the estimation of sea depths. High spectral and spatial image resolution was tested in shallow waters by using the well known and time-tested Lyzenga's linear model. Particularly, three critical issues in shallow water bathymetry were investigated concerning a) the removal of the sun glint that exists on imagery data of very high resolution and depends mainly on the solar and image acquisition angles, b) the atmospheric correction over the sea surface and c) the confrontation of the bottom reflectance variations effects on the bathymetry model, taking advantage of the multiplicity of the imagery bands. 2. SUN GLINT REMOVAL AND ATMOSPHERIC CORRECTION Sun glint removal and atmospheric correction of remotely sensed data are essential processes prior to the application of a bathymetry model. There are not rules about the sequence of these two procedures. Many researchers begin with the sun glint

Access restriction

Copyright

fullscreen: Technical Commission VIII (B8)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation