Evaluation of the black ocean pixel assumption for MODIS imagery over the Arabian Gulf

Maryam Rashed Al Shehhi, Imen Gherboudj, Mohamed Hosni Ghedira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Red tides have frequently occurred in the Arabian Gulf in the last three decades, which have caused massive fish mortalities, degradation of the water quality, and interruption the operation of the coastal desalination plants. Several studies have been undertaken to monitor this phenomenon from space by developing ocean color models that can quantify red tide by Chlorophyll a (Chl a) parameter. However, these models showed poor performance over this region due to the effect of water and atmospheric turbidity, despite of the use of atmospheric correction model on the data. This could be explained by the failure of this atmospheric correction model, which is based on assuming zero NIR reflectance (black pixel assumption) to correct the satellite imagery. In this paper, we have evaluated the black pixel assumption model and presented an empirical attempt that improve the estimation of water reflectance and Chl a. We found that the uncertainty of this model is mainly caused by the: (i) aerosol loading, which requires further correction (ii) water turbidity, and (iii) water depth.

Original languageBritish English
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2058-2061
Number of pages4
ISBN (Electronic)9781509049516
DOIs
StatePublished - 1 Dec 2017
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: 23 Jul 201728 Jul 2017

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2017-July

Conference

Conference37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Country/TerritoryUnited States
CityFort Worth
Period23/07/1728/07/17

Keywords

  • Arabian Gulf
  • atmospheric correction
  • Chlorophyll a
  • red tide

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