Which Spectral Bands of WorldView-2 Are Useful in Remote Sensing of Water Depth? A Case Study in Coral Reefs

Kanno, Ariyo; Tanaka, Yoshisato; Shinohara, Ryuichiro; Kurosawa, Akira; Sekine, Masahiko

doi:10.1080/01490419.2014.908794

Cited by 11 publications

(4 citation statements)

References 21 publications

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“…Sentinel-2 may provide a way to use other satellites more effectively. Accordingly, Sentinel-2 might offer a low turbidity reference data set that can be used to inform mapping conducted with the various commercial very high-resolution sensors such as the World-View fleet [14,26,58] or the novel CubeSats from Planet [19,29]. On the other scale, Landsat has a four-decade history using Thematic Mapper, and has been shown to be useful for some SDB in clear water [10,21,59,60], even with 30 m pixels.…”

Section: Discussionmentioning

confidence: 99%

“…However, reliable methodologies for evaluating or correcting the impact of turbidity on SDB are rare [21,22]. Likewise, given the large spatial extent and inaccessibility of many coastal regions, there is a pressing need for an Earth Observation program at appropriate spatial, spectral and temporal scales to fulfil the objective of operational cost-effective coastal monitoring [25,26]. The European Commission (EC) and the European Space Agency (ESA) have recently identified the need for improved Digital Elevation Models (DEMs) and bathymetry in order to develop the Copernicus-mission based coastal monitoring programme [27].…”

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confidence: 99%

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Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission

Caballero

Stumpf

2020

Remote Sensing

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Satellite-Derived Bathymetry (SDB) has significant potential to enhance our knowledge of Earth's coastal regions. However, SDB still has limitations when applied to the turbid, but optically shallow, nearshore regions that encompass large areas of the world's coastal zone. Turbid water produces false shoaling in the imagery, constraining SDB for its routine application. This paper provides a framework that enables us to derive valid SDB over moderately turbid environments by using the high revisit time (5-day) of the Sentinel-2A/B twin mission from the Copernicus programme. The proposed methodology incorporates a robust atmospheric correction, a multi-scene compositing method to reduce the impact of turbidity, and a switching model to improve mapping in shallow water. Two study sites in United States are explored due to their varying water transparency conditions. Our results show that the approach yields accurate SDB, with median errors of under 0.5 m for depths 0-13 m when validated with lidar surveys, errors that favorably compare to uses of SDB in clear water. The approach allows for the semi-automated creation of bathymetric maps at 10 m spatial resolution, with manual intervention potentially limited only to the calibration to the absolute SDB. It also returns turbidity data to indicate areas that may still have residual shoaling bias. Because minimal in-situ information is required, this computationally-efficient technique has the potential for automated implementation, allowing rapid and repeated application in more environments than most existing methods, thereby helping with a range of issues in coastal research, management, and navigation. surveys are constrained by access, logistics and extremely high deployment cost. It is estimated that multibeam echo sounding (at best resolution) would take more than 200 ship-years and billions of dollars to complete a swath survey of the seafloor [6]. The problem is substantial; consider that some 50% of the USA territories-as an example-were surveyed by using old hydrographic methods that do not meet today's requirement [7]. In the opinion of the IHO, sea bottom information derived from satellite imagery, widely known as Satellite-Derived-Bathymetry (SDB), should be considered as a potential technology to improve the collection, timeliness, quality, and availability of bathymetric data worldwide. In this regard, IHO has started to evaluate SDB strategies and the IHO S-44 standards are currently under revision. Furthermore, SDB offers a low-cost and non-intrusive suitable solution because no mobilization is required, removing health and safety risk, and any environmental impact.Approaches to SDB mapping vary on aim and rationale, spatial scale, and source of satellite system information. The concept is based on detection of sunlight reflected from the seafloor, and algorithms that use spectral information from this light to calculate water column depth. Several reviews of the methodologies are available in the literature [8,9]. Although the acquisition of imagery ...

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission

Caballero

Stumpf

2020

Remote Sensing

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“…Several studies have successfully calculated water depth for the deep ocean water (greater than 20 m) using high resolution WV-2 satellite imagery [2,19,20]. Madden [21] successfully calculated bathymetry for water depths greater than 2 m using WV-2 imagery, hydrographic surveys, and the Stumpf et al [5] relative ratio equation.…”

Section: Remote Sensing Of Coastal Environmentsmentioning

confidence: 99%

Submerged and Emergent Land Cover and Bathymetric Mapping of Estuarine Habitats Using WorldView-2 and LiDAR Imagery

Halls

Costin

2016

Remote Sensing

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Tidal creeks are small estuarine watersheds characterized by low freshwater input, marine to brackish salinity, and subtidal, intertidal, and supratidal habitats. Most people are familiar with large rivers and estuaries, but the smaller tidal watersheds comprise a greater percentage of the coastline. As the population along coasts rises there is growing concern about water quality and increased sedimentation rates. Therefore, these smaller tidal creek watersheds are at risk to pollution, decreased environmental health, and deterioration of protective salt marshes. The purpose of this study was to test methods for high spatial resolution mapping of benthic (submerged) and emergent habitats as well as the derivation of bathymetry using DigitalGlobe's WorldView-2 imagery. An intensive field effort was conducted to test and assess several image processing techniques. Results concluded that: (1) supervised habitat classification produced the highest map accuracy (95%); (2) sand, water, scrub/shrub, and docks/rubble were mapped the most accurately at greater than 95%; (3) saltmarsh habitats (high and low density cordgrass, Spartina alterniflora, and black needlerush, Juncus roemerianus), mud, and oyster beds were between 80 and 85% accurate; (4) pan-sharpening and atmospheric correction did not improve map accuracy; (5) LiDAR (light detection and ranging) data increased habitat map accuracy; and (6) WorldView-2 imagery was capable of deriving water depth and these data increased the map accuracy of benthic habitats. The project produced habitat maps for benthic and emergent species at high spatial resolution (4 m 2 ) which will be useful for studying the dynamic processes in this tidal environment. The data and methods developed here could be used by state and local government planning agencies to assess potential long-term changes and develop appropriate management strategies.

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“…In recent years several studies [15] [23] [25] [27] have proven that a rapid assessment of bathymetry can be remotely achieved, provided that i) a multi/hyper-spectral optical image is available, acquired by satellite/airborne sensors, and ii) a sufficient number of in situ measurements is available, acquired by unmanned vehicles (USVs, AUVs, gliders, etc. ).…”

Section: Introductionmentioning

confidence: 99%

Multiobjective evolutionary optimization of quadratic Takagi-Sugeno fuzzy rules for remote bathymetry estimation

Cococcioni

Lazzerini

2015

OCEANS 2015 - Genova

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In this work we tackle the problem of bathymetry estimation using: i) a multispectral optical image of the region of interest, and ii) a set of in situ measurements. The idea is to learn the relation that between the reflectances and the depth using a supervised learning approach. In particular, quadratic Takagi-Sugeno fuzzy rules are used to model this relation. The rule base is optimized by means of a multiobjective evolutionary algorithm. To the best of our knowledge this work represents the first use of a quadratic Takagi-Sugeno fuzzy system optimized by a multiobjective evolutionary algorithm with bounded complexity, i.e., able to control the complexity of the consequent part of second-order fuzzy rules. This model has an outstanding modeling power, without inheriting the drawback of complexity due to the use of quadratic functions (which have complexity that scales quadratically with the number of inputs). This opens the way to the use of the proposed approach even for medium/high dimensional problems, like in the case of hyper-spectral images.

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Which Spectral Bands of WorldView-2 Are Useful in Remote Sensing of Water Depth? A Case Study in Coral Reefs

Cited by 11 publications

References 21 publications

Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission

Towards Routine Mapping of Shallow Bathymetry in Environments with Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission

Submerged and Emergent Land Cover and Bathymetric Mapping of Estuarine Habitats Using WorldView-2 and LiDAR Imagery

Multiobjective evolutionary optimization of quadratic Takagi-Sugeno fuzzy rules for remote bathymetry estimation

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