Evaluating the performance of Lyzenga's water column correction in case-1 coral reef water using a simulated Wolrdview-2 imagery

Manessa, Masita Dwi Mandini; Haidar, Muhammad; Budhiman, Syarif; Winarso, Gatot; Kanno, Ariyo; Sagawa, T.; Sekine, Masahiko

doi:10.1088/1755-1315/47/1/012018

Cited by 18 publications

(11 citation statements)

References 11 publications

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“…Evaluating the results of water-column corrections has not yet been a prominent area of research, though some work has evaluated individual models [15,269,276,277]. For example, O'Neill and Costa [15] compared the water-column corrected spectra achieved through algorithmic manipulation to the "true" measurements of the substrates laid out on a dry, black background.…”

Section: Corrections Specific To Aquatic Applicationsmentioning

confidence: 99%

A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists

Rowan

Kalácska

2021

Remote Sensing

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Submerged aquatic vegetation (SAV) is a critical component of aquatic ecosystems. It is however understudied and rapidly changing due to global climate change and anthropogenic disturbances. Remote sensing (RS) can provide the efficient, accurate and large-scale monitoring needed for proper SAV management and has been shown to produce accurate results when properly implemented. Our objective is to introduce RS to researchers in the field of aquatic ecology. Applying RS to underwater ecosystems is complicated by the water column as water, and dissolved or suspended particulate matter, interacts with the same energy that is reflected or emitted by the target. This is addressed using theoretical or empiric models to remove the water column effect, though no model is appropriate for all aquatic conditions. The suitability of various sensors and platforms to aquatic research is discussed in relation to both SAV as the subject and to project aims and resources. An overview of the required corrections, processing and analysis methods for passive optical imagery is presented and discussed. Previous applications of remote sensing to identify and detect SAV are briefly presented and notable results and lessons are discussed. The success of previous work generally depended on the variability in, and suitability of, the available training data, the data’s spatial and spectral resolutions, the quality of the water column corrections and the level to which the SAV was being investigated (i.e., community versus species.)

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Section: Corrections Specific To Aquatic Applicationsmentioning

confidence: 99%

A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists

Rowan

Kalácska

2021

Remote Sensing

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“…It must be stressed that this discussion assumes clear waters, with a negligible water leaving reflectance over optically deep waters in the RED-NIR-SWIR range of the solar spectrum, although significant progress in underway to accommodate less favorable water quality conditions [ 28 , 29 ].…”

Section: Discussionmentioning

confidence: 99%

4SM: A Novel Self-Calibrated Algebraic Ratio Method for Satellite-Derived Bathymetry and Water Column Correction

Morel

Favoretto

2017

Sensors

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All empirical water column correction methods have consistently been reported to require existing depth sounding data for the purpose of calibrating a simple depth retrieval model; they yield poor results over very bright or very dark bottoms. In contrast, we set out to (i) use only the relative radiance data in the image along with published data, and several new assumptions; (ii) in order to specify and operate the simplified radiative transfer equation (RTE); (iii) for the purpose of retrieving both the satellite derived bathymetry (SDB) and the water column corrected spectral reflectance over shallow seabeds. Sea truth regressions show that SDB depths retrieved by the method only need tide correction. Therefore it shall be demonstrated that, under such new assumptions, there is no need for (i) formal atmospheric correction; (ii) conversion of relative radiance into calibrated reflectance; or (iii) existing depth sounding data, to specify the simplified RTE and produce both SDB and spectral water column corrected radiance ready for bottom typing. Moreover, the use of the panchromatic band for that purpose is introduced. Altogether, we named this process the Self-Calibrated Supervised Spectral Shallow-sea Modeler (4SM). This approach requires a trained practitioner, though, to produce its results within hours of downloading the raw image. The ideal raw image should be a “near-nadir” view, exhibit homogeneous atmosphere and water column, include some coverage of optically deep waters and bare land, and lend itself to quality removal of haze, atmospheric adjacency effect, and sun/sky glint.

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“…Lyzenga's water column correction algorithm is used to identify coral reefs. The best option to be applied in the area with a lack of water optical data is Lyzenga's method [6]. Figure 4, Figure 5, and Figure 6).…”

Section: Methodsmentioning

confidence: 99%

Spatial Temporal Analysis of Coral Reefs in Belitung Tourism Destination Islands

2018

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One of the world’s most spectacular ecosystems in this world is the coral reef. In Indonesia, Bangka Belitung is one province which has beautiful coral reefs and has become one of the tourist attractions. However, there might be a loss of the coral reefs area that can be caused by natural factors and human activities. This study aims to analyze the distribution and the changing of coral reefs that occurred in the islands of tourist destination in Belitung Regency from 2005 to 2018 and to analyze its factors. Landsat satellite imageries used in this study are Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI/TIRS. The distribution of coral reefs will be determined by image data processing. Then, overlay methods are used to analyze the changes and its factors. Based on the analysis, in the year of 2005-2018, there are 3.93 km2 areas of coral reefs that have decreased. On the top of that, there are 1.34 km2 or about 34.04% of coral reefs areas have decreased that caused by non-natural factors. It can be concluded that the decreased of the coral reefs occurred in Belitung tourism destination islands, are still dominated by natural factors rather than a non-natural factor.

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Evaluating the performance of Lyzenga's water column correction in case-1 coral reef water using a simulated Wolrdview-2 imagery

Cited by 18 publications

References 11 publications

A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists

A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists

4SM: A Novel Self-Calibrated Algebraic Ratio Method for Satellite-Derived Bathymetry and Water Column Correction

Spatial Temporal Analysis of Coral Reefs in Belitung Tourism Destination Islands

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