Satellite Remote Sensing of Coral Reef Habitats Mapping in Shallow Waters at Banco Chinchorro Reefs, México: A Classification Approach

Contreras-Silva, Ameris I.; López‐Caloca, Alejandra A.; Tapia-Silva, F. Omar; Cerdeira‐Estrada, Sergio

doi:10.5772/36210

Cited by 6 publications

(7 citation statements)

References 33 publications

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“…Landsat 8 OLI one of the most suitable images for mapping suitable for mapping marine habitats and the bottom cover of coral reefs for large depths (more than 60 m) (Contreras-Silva et al, 2012;Mumby et al, 1997 and2004).…”

Section: Data Usedmentioning

confidence: 99%

“…In fact, radiation may be reflected from different living organisms or benthic rock components and give the same values, which gives inaccurate results. However, when applying the water column correction, these reflections are corrected, giving more reliable and realistic data that show the spatial characteristics and components of the study area at the time of the image acquire (Contreras-Silva et al, 2012). These corrections were made using the Erdas Imagine 2014 program and the procedures are shown in flow chart ( Fig.…”

Section: Preprocessing Of Satellite Imagesmentioning

confidence: 99%

“…To eliminate this effect, water column correction equations were applied, and hence the results allow us to distinguish categories of benthic ecosystems occurring at different depths. The water column correction is, therefore, an indispensable method of preprocessing in mapping water-submerged aquatic ecosystems (Contreras-Silva et al, 2012;El-Askary et al, 2014), and it is the most appropriate correction for ETM+ images that penetrate water with multiple spectral bands, (El-Askary et al, 2014).…”

Section: Water Column Correctionmentioning

confidence: 99%

“…To eliminate this confusion, it was necessary to use a model to compensate the water column effect, and this was to determine the Depth-Invariant Index by applying the following equation (Contreras-Silva et al, 2012;Mumby et al, 1997):…”

Section: Water Column Correctionmentioning

confidence: 99%

“…The study area was subset after processing and loading into the ArcMap 10.2.2 program to determine coral reef locations using the Iterative Self Organizing Data Analysis (ISODATA) method to identify coral colonies and map their current geographical distribution in the study area and delimit the area they cover. This step can only be accomplished after the water column correction and the application of the Depth-Invariant Index to avoid the interference of the biotic and rock environments at different depths (Contreras-Silva et al, 2012). As shown in Fig.…”

Section: Unsupervised Classificationmentioning

confidence: 99%

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Coastal Coral Reef in Arabian Gulf between Ras Al Khafji and Ras Tannurah Biogeography and Marine Environment Protection Study

Al-Argoubi¹

2018

JKAU Mar Sci

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This research concerned the coastal reefs in the Arabian Gulf between Ras Al Khafji and Ras Tannurah, to identify the current status of the coral colonies, their geographic distribution, their most important forms and the impacts that affected them. The research is based on the descriptive approach by studying the environment of the coral reefs in the Arabian Gulf, knowledge of the coral species, and it was also based on the spatial analytical approach when studying the geographical distribution of coral reefs by analysis of the images of Landsat 8 OLI using ArcGIS 10.2.2 and Erdas Imagine 2014. Different processing techniques were carried out over the six images, such as: rectification, masking, water column correction, classification, and coral areas survey. The statistics of coral reef obtained from supervised classifications of 2016 in the study area was 78.3 km², which are scattered spots close to the coast except the area between Ras Al Khair to Abu Ali Island, which it is one of the richest areas in coral reefs. The most important coral species that resisted the environmental changes are Favia spp. and Porites compressa. It was also found that oil pollution and the climate change are the most important environmental pressures that have affected the species composition and reduced the area of coral reefs.

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Section: Data Usedmentioning

confidence: 99%

Section: Preprocessing Of Satellite Imagesmentioning

confidence: 99%