Title :
Evaluating the performance of MODIS FLH ocean color algorithm in detecting the Harmful Algae Blooms in the Arabian Gulf and the Gulf of Oman
Author :
Al Shehhi, Maryam R. ; Gherboudj, Imen ; Jun Zhao ; Mezhoud, Nahla ; Ghedira, Hosni
Author_Institution :
Ocean Color Group - Earth Obs. & Hydro-Climate Modeling Lab., Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
Abstract :
Detecting and monitoring harmful algae blooms (HABs) outbreaks are facing significant challenges at both local and regional scales. Red tide outbreaks in the Arabian Gulf and Gulf of Oman have caused a number of negative effects during the last few affecting therefore the daily human life. The objective of this project is to validate the existing MODIS ocean color algorithm (FLH and nFLH) to detect and monitor red tide outbreaks in the Arabian Gulf and Gulf of Oman Therefore, the model can be used as early warning and daily monitoring tools of red tide outbreaks in the Arabian Gulf. The results show that, the correlation between FLH, normalized FLH and in situ chlorophyll show R2 of 0.58 and 0.57, respectively. The FLH performance is affected by the impact of bottom on the blue and green reflectance, high turbidity of the atmosphere caused by the suspended aerosol particles that increase the reflectance detected by the satellite and water sediments.
Keywords :
microorganisms; oceanographic regions; oceanographic techniques; remote sensing; underwater optics; Arabian Gulf; Gulf of Oman; MODIS FLH ocean color algorithm; chlorophyll; daily monitoring tools; early warning tools; harmful algae blooms; red tide outbreaks; reflectance; suspended aerosol particles; turbidity; Algae; MODIS; Marine animals; Reflectivity; Sea measurements; Tides; Arabian Gulf; FLH; Gulf of Oman; MODIS; algae; nFLH; red tide;
Conference_Titel :
Oceans - San Diego, 2013
Conference_Location :
San Diego, CA