2005
DOI: 10.1109/tgrs.2004.841246
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Remote bathymetry of the littoral zone from AVIRIS, LASH, and QuickBird imagery

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Cited by 92 publications
(55 citation statements)
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“…However the long-term planning and associated costs undermines its utility for campaigns over large or remote reefs ecosystems. Since the launch of the QB2 sensor in 2001, spaceborne passive remote sensing has become a valuable tool for retrieving water depth at a spatial scale relevant to community processes [6,[8][9][10].…”
Section: Introductionmentioning
confidence: 99%
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“…However the long-term planning and associated costs undermines its utility for campaigns over large or remote reefs ecosystems. Since the launch of the QB2 sensor in 2001, spaceborne passive remote sensing has become a valuable tool for retrieving water depth at a spatial scale relevant to community processes [6,[8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Based on a variation of this empirical linear model, the detection of water depths from 18 to 20 m by QB2 imagery has been satisfactorily achieved on coral reefscapes [6,13]. Lee et al [14] developed a non-linear optimization of a semi-analytical model, which has been used to retrieve water depths up to 20 m from a QB2 acquisition over Kanehoe Bay in Hawaii [9]. Nevertheless, the latter assessment required simplification of the semi-analytical algorithm, which is rather dedicated to hyperspectral approaches, lying beneath the purpose of this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Lee et al (2001) used an inversion optimization approach to simultaneously derive water depth and water column properties from hyper-spectral data in coastal waters. Adler-Golden et al (2005) present an algorithm similar to that of Lee et al (2001). However, it makes the simplifying assumption of constant water optical properties within the scene.…”
mentioning
confidence: 99%
“…Then, in shallow waters pixels, BOMBER was run for estimating bottom depth and a linear unmixing of two-benthic classes: one for sand-rubble substrate, the other assembling seagrass and corals, whilst the water optical properties were held constant across the imagery consistently with previous studies [38,39]. The parameterisation of the water column and bottom properties in the bio-optical model implemented in BOMBER was based on literature and validated against in situ data acquired during the survey.…”
Section: Image Pre-processing and Classification Strategymentioning
confidence: 99%