Combining satellite-derived chlorophyll-a data and high-resolution dubaisat-1 data to detect and monitor red tide outbreaks in the Arabian Gulf

Muhairi, Ammar Al; Ghedira, Hosni; Shaheen, Ali T.

doi:10.1109/igarss.2010.5651944

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…DubaiSat-1 has a resolution of 2.5 m Panchromatic (Pan) and 5 m Multispectral (MS) (Al Rais, Al Suwaidi, and Ghedira 2009). A few studies have demonstrated the use of DubaiSat-1 imagery in studying the marine environment of UAE, e.g., the variability of water quality parameters (Ali, Mortula, and Atabay 2013) and the monitoring of red tide outbreaks (Muhairi, Ghedira, and Shaheen 2010). DubaiSat-2 provides higher spatial resolution (1 m Pan and 4 m MS), thus, hypothetically suitable for marine applications as well.…”

Section: Introductionmentioning

confidence: 98%

Corals & benthic habitat mapping using DubaiSat-2: a spectral-spatial approach applied to Dalma Island, UAE (Arabian Gulf)

Ben-Romdhane¹,

Marpu²,

Ouarda³

et al. 2016

Remote Sensing Letters

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Satellite remote sensing-based monitoring of coastal habitats, like those in the Arabian Gulf, presents a special challenge due to the attenuation of light through the turbid atmosphere and water, as well as the spectral similarity of many benthic habitats. The present study aims to evaluate the potential of DubaiSat-2 imagery in mapping corals and benthic habitat in the vicinity of Dalma Island, United Arab Emirates (UAE). To do so, this study proposes a spectral-spatial method that uses a combination of different remote sensing techniques in order to discern benthic communities with reference to their spatial distribution. This method involves multi-level segmentation, non-linear feature analysis and ensemble learning methods for the characterization of corals, benthic classes and underlying seabeds. Maximum Likelihood and Random Forest, pixel-based methods, were also used for comparison of classification performances. Comparative data are derived from published marine habitat maps. The spectral-spatial method achieves 96.60% overall accuracy. Maximum Likelihood and Random Forest classification methods are assessed to be 92.59% and 94.52% accurate, respectively. The application of the proposed method and the use of DubaiSat-2 imagery can help in achieving well-designed coastal management plans in the region. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 98%

Corals & benthic habitat mapping using DubaiSat-2: a spectral-spatial approach applied to Dalma Island, UAE (Arabian Gulf)

Ben-Romdhane¹,

Marpu²,

Ouarda³

et al. 2016

Remote Sensing Letters

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“…Algal bloom is a rapid increase in the number of phytoplankton species in estuarine, marine and fresh waters (Al-Muhairi et al 2010), without concern over bloom impacts (Smayda, 1997).…”

Section: Introductionmentioning

confidence: 99%

A novel method for characterizing harmful algal blooms in the Persian Gulf using MODIS measurements

Ghanea

Moradi

Kabiri

2016

Advances in Space Research

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“…Red tide (RT) is rapidly propagation of algal blooms in the estuarine, marine and fresh waters (Al-Muhairi et al 2010). Sun light and nutrient loading are triggering factors for phytoplankton growth, which can be spread out by marine currents, dust, and monsoonal winds (Brink et al, 1998;Wiggert et al, 2010;Al-Azri et al, 2010Al-Shehhi et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Investigation the Behavior of Modis Ocean Color Products Under the 2008 Red Tide in the Eastern Persian Gulf

Ghanea

Moradi

Kabiri

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Biophysical properties of water undergo serious variations under red tide (RT) outbreak. During RT conditions, algal blooms spread out in the estuarine, marine and fresh waters due to different triggering factors such as nutrient loading, marine currents, and monsoonal winds. The Persian Gulf (PG) was a talent region subjected to different RTs in recent decade. A massive RT started from the Strait of Hormuz in October 2008 and extended towards the northern parts of the PG covering more than 1200 km of coastlines. The bloom of microorganism C. Polykrikoides was the main specie that generated large fish mortalities, and hampered marine industries, and water desalination appliances. Ocean color satellite data have many advantages to monitor and alarm RT occurrences, such as wide and continuous extent, short time of imagery, high accessibility, and appropriate estimation of ocean color parameters. Since 1999, MODerate Resolution Imaging Spectroradiometer (MODIS) satellite sensor has estimated satellite derived chlorophyll-a (Chl-a), normalized fluorescence line height (nFLH), and diffuse attenuation coefficient at 490nm (kd490). It provides a capability to study the behavior of these parameters during RT and normal conditions. This study monitors variations in satellite derived Chl-a, nFLH, and kd490 under both RT and normal conditions of the PG between 2002 and 2008. Up to now, daily and monthly variations in these products were no synchronously investigated under RT conditions in the PG. In doing so, the MODIS L1B products were provided from NASA data archive. They were corrected for Rayleigh scattering and gaseous absorption, and atmospheric interference in turbid coastal waters, and then converted to level 2 data. In addition, Enhanced Red Green Blue (ERGB) image was used to illustrate better water variations. ERGB image was built with three normalized leaving water radiance between 443 to 560nm. All the above data processes were applied by SeaDAS 7 software package. The Strait of Hormuz was selected as the study area in the eastern part of the PG. Images including high cloud coverage (>50%) over the study area were filtered out. The classification maps of the above products were shown during RT and normal periods. Monthly variations of mentioned products were calculated for the dates before, during, and after RT appearance. The results were demonstrated as time-series diagrams. All the above calculations and presentations were performed in Matlab 7 software package.The results show that MODIS Chl-a, nFLH, and kd490 increased during the 2008 RT. Based on the feedback of these parameters under RT conditions, hybrid ocean color index (HOCI) is defined. HOCI is able to display better water variations during RT outbreak. High values of HOCI show RT affected areas.

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Combining satellite-derived chlorophyll-a data and high-resolution dubaisat-1 data to detect and monitor red tide outbreaks in the Arabian Gulf

Cited by 5 publications

References 5 publications

Corals & benthic habitat mapping using DubaiSat-2: a spectral-spatial approach applied to Dalma Island, UAE (Arabian Gulf)

Corals & benthic habitat mapping using DubaiSat-2: a spectral-spatial approach applied to Dalma Island, UAE (Arabian Gulf)

A novel method for characterizing harmful algal blooms in the Persian Gulf using MODIS measurements

Investigation the Behavior of Modis Ocean Color Products Under the 2008 Red Tide in the Eastern Persian Gulf

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