Spectral Signatures of Coral Reefs Features from Space

Lubin, Dan; Li, Wei; Dustan, Phillip; Mazel, Charles H.; Stamnes, Knut

doi:10.1016/s0034-4257(00)00161-9

Cited by 96 publications

(75 citation statements)

References 11 publications

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“…Various authors have discussed the possibility of a new satellite-based remote sensing instrument designed specifically for coral reef applications [6,7,10]. While these studies have focused on determining optimal band wavelengths, further work is now needed to provide concrete design advice on issues such as the trade-off between spatial resolution, spectral resolution and SNR.…”

Section: Figurementioning

confidence: 99%

“…Modelling studies are therefore required to evaluate the upper or lower theoretical bounds of remote sensing capability and guide the design of appropriate sensors. Various studies have assessed the spectral separability of reef benthic classes and in some cases advised on optimal wavelengths for discrimination [6][7][8][9][10]. However, these studies have focused on variation in benthic type in situ spectral reflectance and sensor noise as the primary sources of noise in the system.…”

Section: Introductionmentioning

confidence: 99%

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Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design

et al. 2012

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A generic method was developed for analysing the capabilities of optical remote sensing of aquatic systems in terms of environmental components and imaging sensor configurations. The method was based on a component based model of the entire system in which not only benthic composition but other environmental components such as water inherent optical properties (IOPs), bathymetry, sun elevation, wind speed and sensor noise characteristics were defined by datasets with the potential to include across-image variation. The model was applied to data from Pacific Ocean reefs in an airborne sensor context to estimate the primary environmental or sensor factors confounding discrimination of benthic mixtures of key reef types: live coral, bleached coral, dead coral and macroalgae. Results indicate that spectral variation of benthic types and sub-pixel mixing is the primary limiting factor for benthic mapping objectives, whereas instrument noise levels are a minor factor.

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Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design

et al. 2012

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“…Ferguson and Korfmacher, 1997;Dahdouh-Guebas et al, 1999;Pasqualini, 2001) and coral reefs (e.g. Holden and Ledrew, 1999;Lubin et al, 2001). Blasco et al (1998) reviewed the suitability of various remote sensing technologies in different mangrove research fields and concluded that aerial photography is best suited for investigating the density, phenology, hydrological status, human impact, height and floristics of mangrove forests.…”

Section: Remote Sensing and Gis Case-studies On Tropical Coastsmentioning

confidence: 99%

“…Blasco et al (1998) reviewed the suitability of various remote sensing technologies in different mangrove research fields and concluded that aerial photography is best suited for investigating the density, phenology, hydrological status, human impact, height and floristics of mangrove forests. Despite innovations in remote sensing technology, aerial photographs often remain as the preferred technology (Ramsey and Laine, 1997;Dahdouh-Guebas et al, 1999;Kadmon and Harari-Kremer, 1999;Mumby et al, 1999;Dahdouh-Guebas et al, 2000b;Hyyppä et al, 2000;Manson, 2001;Chauvaud et al, 2001;Lubin et al, 2001;Verheyden et al, 2002;Sulong et al, 2002). Also in the study of larger mangrove assemblages, data with a high spatial resolution may reveal relevant details on vegetation structure dynamics (Dahdouh-Guebas et al, 2000b).…”

Section: Remote Sensing and Gis Case-studies On Tropical Coastsmentioning

confidence: 99%

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Dahdouh‐Guebas

2002

Environment, Development and Sustainability

104

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Abstract. The sustainable use and management of important tropical coastal ecosystems (mangrove forests, seagrass beds and coral reefs) cannot be done without understanding the direct and indirect impacts of man. The ecosystem's resilience and recovery capacity following such impacts must be determined. The efficacy of mitigation measures must also be considered. Remote sensing and geographic information systems (GIS) are excellent tools to use in such studies. This paper reviews the state of the art and application of these tools in tropical coastal zones, and illustrates their relevance in sustainable development. It highlights a selected number of remote sensing case-studies on land cover patterns, population structure and dynamics, and stand characteristics from South-East Asia, Africa and South-America, with a particular emphasis on mangroves. It further shows how remote sensing technology and other scientific tools can be integrated in long-term studies, both retrospective and predictive, in order to anticipate degradation and to take mitigating measures at an early stage. The paper also highlights the guidelines for sustainable management that can result from remote sensing and GIS studies, and identifies existent gaps and research priorities.There is a need for more comprehensive approaches that deal with new remote sensing technologies and analysis in a GIS-environment, and that integrate findings collected over longer periods with the aim of prediction. It is also imperative to collect and integrate data from different disciplines. These are essential in the spirit of sustainable development and management, particularly in developing countries, which are often more vulnerable to environmental degradation.

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“…The mapping of mangroves through aerial photography is often done through visual delineation of assemblages (Dahdouh-Guebas et al, 2000;Verheyden et al, 2002), and many studies on tropical coasts have recurrently emphasized the excellent potential of this imagery (Mumby et al, 1997;Ramsey & Laine, 1997;Dahdouh-Guebas et al, 1999, 2000Manson, 2001;Chauvaud et al, 2001;Lubin et al, 2001), in spite of its intrinsic weaknesses such as the dependence on human interpretation.…”

Section: Introductionmentioning

confidence: 99%

Qualitative distinction of congeneric and introgressive mangrove species in mixed patchy forest assemblages using high spatial resolution remotely sensed imagery (IKONOS)

Dahdouh‐Guebas¹,

Hiel

Chan

et al. 2004

Systematics and Biodiversity

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This paper is a preliminary report of the ability of IKONOS multispectral satellite imagery with a very high spatial resolution of 1 metre to distinguish two mangrove species in Sri Lanka belonging to the same genus (Rhizophora apiculata and R. mucronata). Not only is this an advancement for the monitoring of forests, it is even more important considering their patchy nature in Sri Lankan mangroves (in contrast to classically zoned forests). Apart from congeneric distinction, introgressive species (Acrostichum aureum) can also be detected from IKONOS imagery, which is important in the early warning for cryptic ecological changes that may affect mangrove species composition (both floral and faunal) and functioning. The results tabulate the usage of various image composites, transformations and classifications, and indicate the danger of too much detail in remote sensing, and the need to apply an optimum resolution. We also highlight that the highest resolutions (as in pansharpened multispectral composites) remain invaluable for visual ecological investigations, which are not at all outdated by new digital satellite images of (sub)metre spatial resolution and their possibility for computer-aided analysis.

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Spectral Signatures of Coral Reefs Features from Space

Cited by 96 publications

References 11 publications

Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design

Environmental and Sensor Limitations in Optical Remote Sensing of Coral Reefs: Implications for Monitoring and Sensor Design

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Qualitative distinction of congeneric and introgressive mangrove species in mixed patchy forest assemblages using high spatial resolution remotely sensed imagery (IKONOS)

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