Benthic Habitat Mapping in Tropical Marine Environments Using QuickBird Multispectral Data

Mishra, Deepak R.; Narumalani, Sunil; Rundquist, Donald C.; Lawson, Merlin P.

doi:10.14358/pers.72.9.1037

Cited by 145 publications

(70 citation statements)

References 23 publications

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“…In the context of coral reefs with clear waters (amenable to the transmission of the visible spectrum), optical passive remote sensing provided with very high resolution (VHR, i.e., 0-1 m) sensors is susceptible to surpass LIDAR performance regarding the study of the land-to-reef continuum. Despite the scientific partitioning mentioned previously, researchers have demonstrated satellite capabilities for finely (2.44 m) mapping the sea floor or land with the QuickBird-2 (QB2) sensor [12,13]. The QB2 sensor has only three visible and one near-infrared (NIR) bands in comparison to the five visible and three NIR bands of WorldView-2 (WV2) that are able to both penetrate into water and interact with land covers.…”

Section: Introductionmentioning

confidence: 99%

Bridging Ridge-to-Reef Patches: Seamless Classification of the Coast Using Very High Resolution Satellite

2013

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Abstract:The structure and functioning of coral reef coastal zones are currently coping with an increasing variety of threats, thereby altering the coastal spatial patterns at an accelerated pace. Understanding and predicting the evolution of these highly valuable coastal ecosystems require reliable and frequent mapping and monitoring of both inhabited terrestrial and marine areas at the individual tree and coral colony spatial scale. The very high spatial resolution (VHR) mapping that was recently spearheaded by WorldView-2 (WV2) sensor with 2 m and 0.5 m multispectral (MS) and panchromatic (Pan) bands has the potential to address this burning issue. The objective of this study was to classify nine terrestrial and twelve marine patch classes with respect to spatial resolution enhancement and coast integrity using eight bands of the WV2 sensor on a coastal zone of Moorea Island, French Polynesia. The contribution of the novel WV2 spectral bands towards classification accuracy at 2 m and 0.5 m were tested using traditional and innovative Pan-sharpening techniques. The land and water classes were examined both separately and combinedly. All spectral combinations that were built only with the novel WV2 bands systematically increased the overall classification accuracy of the standard four band classification. The overall best contribution was attributed to the coastal-red edge-near infrared (NIR) 2 combination (Kappa gain = 0.0287), which significantly increased the fleshy and encrusting algae (User's Accuracy gain = 18.18%) class. However, the addition of OPEN ACCESSRemote Sens. 2013, 5 3584 the yellow-NIR2 combination dramatically impacted the hard coral/algae patches class (Producer's Accuracy loss = −20.88%). Enhancement of the spatial resolution reduced the standard classification accuracy, depending on the Pan-sharpening technique. The proposed composite method (local maximum) provided better overall results than the commonly used sensor method (systematic). However, the sensor technique produced the highest contribution to the hard coral thicket (PA gain = 30.36%) class with the coastal-red edge-NIR2 combination. Partitioning the coast into its terrestrial and aquatic components lowered the overall standard classification accuracy, while strongly enhancing the hard coral bommie class with the coastal-NIR2 combination (UA gain = 40%) and the green-coastal Normalized Difference Ratio (UA gain = 11.06%). VHR spaceborne remote sensing has the potential to gain substantial innovative insights into the evolution of tropical coastal ecosystems from local to regional scales, to predict the influence of anthropogenic and climate changes and to help design optimized management and conservation frameworks.

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Section: Introductionmentioning

confidence: 99%

Bridging Ridge-to-Reef Patches: Seamless Classification of the Coast Using Very High Resolution Satellite

2013

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“…Spatial resolutions of these systems range from 30 m for the Landsat Thematic Mapper (TM) to 2.44 m for QuickBird multispectral data and 1 m or less for airborne hyperspectral data. Those evaluating the utility of TM have mapped subtidal coastal habitats (Khan et al, 1992), delineated sand bottoms (Michalek et al, 1993), classified coral reef zones (Mishra et al, 2005(Mishra et al, , 2006, evaluated the benthos (Matsunaga & Kayanne, 1997), and performed time series analyses (Dobson & Dustan, 2000). Similarly, researchers have used IKONOS (4 m) and QuickBird (2.44 m) imagery with radiative transfer models to map benthic habitats (Mishra et al, 2005(Mishra et al, , 2006 and apply a similar model to Airborne Imaging Spectroradiometer for Applications (AISA) hyperspectral data to identify benthic habitats (Mishra et al, 2007).…”

Section: Remote Sensing Of Underwater Habitatsmentioning

confidence: 99%

Remote Sensing of Submerged Aquatic Vegetation

Cho¹,

Mishra²,

Wood³

2012

Remote Sensing - Applications

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“…While a range of these studies have recently used high spatial resolution data, e.g. IKONOS (Knudby et al 2013;Andrefouet et al 2003;Riegl and Purkis 2005;Elvidge et al 2004), Quickbird (Knudby et al 2013;Botha et al 2013;Mishra et al 2006), Worldview (Botha et al 2013), and CASI (Botha et al 2013;Mishra et al 2006), there are a *Corresponding author. E-mail: nurj_din@yahoo.com Article number of studies that have used medium spatial resolution data, e.g.…”

Section: Introductionmentioning

confidence: 99%

Multisensor and multitemporal data from Landsat images to detect damage to coral reefs, small islands in the Spermonde archipelago, Indonesia

et al. 2015

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Abstract− Coral reefs are important because of their high biodiversity and their key role in the tropical marine biosphere. Furthermore, coral reefs are very valuable as a socioeconomic resource as they make important contributions to the gross domestic product of many countries. Thus, it is very important to monitor dynamic spatial distributions of coral reefs and related habitats dominated by coral rubble, dead coral, and bleached corals. Despite these natural and socio-economic advantages, many factors are threatening coral reefs. The study site was selected in Spermonde archipelago, South Sulawesi, Indonesia because this area is included in the Coral Triangle, recognized as the epicenter of coral diversity and a priority for conservation. Images of Landsat MSS, Landsat TM, Landsat ETM, Landsat ETM+, and Landsat 8 data were used to examine changes in the coral reefs of Suranti Island in the Spermonde Archipelago during forty one years from 1972 to 2013. The image processing includes gap fills, atmospheric corrections, geometric corrections, image composites, water column corrections, unsupervised classifications, and reclassifications. Fill Gap processing was done on Landsat ETM+ SLC-off. Subsequently, a multi-component change detection procedure was applied to define changes. Shallow water bottom types classification was divided into live coral, rubble and sand habitats, dead coral with algae, rubble, and sand. Preliminary results showed significant changes during the period 1972-2013 as well as changes in coral reefs, likely explained partly by destructive fishing practices.

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Benthic Habitat Mapping in Tropical Marine Environments Using QuickBird Multispectral Data

Cited by 145 publications

References 23 publications

Bridging Ridge-to-Reef Patches: Seamless Classification of the Coast Using Very High Resolution Satellite

Bridging Ridge-to-Reef Patches: Seamless Classification of the Coast Using Very High Resolution Satellite

Remote Sensing of Submerged Aquatic Vegetation

Multisensor and multitemporal data from Landsat images to detect damage to coral reefs, small islands in the Spermonde archipelago, Indonesia

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