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A high-resolution remotely sensed benthic habitat map of the Qatari coastal zone.
Butler, Josh D; Purkis, Sam J; Yousif, Ruqaiya; Al-Shaikh, Ismail; Warren, Christopher.
Afiliação
  • Butler JD; Environmental Management Division, ExxonMobil Research Qatar, Qatar Science and Technology Park, Tech 2, PO BOX 22500, Al Wosail Tower, Doha, Qatar. Electronic address: josh.d.butler@exxonmobil.com.
  • Purkis SJ; CSL - Center for Carbonate Research, Department of Marine Geosciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA.
  • Yousif R; Contractor to Environmental Management Division, ExxonMobil Research Qatar, Qatar Science and Technology Park, Tech 2, PO BOX 22500, Al Wosail Tower, Doha, Qatar.
  • Al-Shaikh I; Environmental Management Division, ExxonMobil Research Qatar, Qatar Science and Technology Park, Tech 2, PO BOX 22500, Al Wosail Tower, Doha, Qatar.
  • Warren C; Environmental Management Division, ExxonMobil Research Qatar, Qatar Science and Technology Park, Tech 2, PO BOX 22500, Al Wosail Tower, Doha, Qatar.
Mar Pollut Bull ; 160: 111634, 2020 Nov.
Article em En | MEDLINE | ID: mdl-33181922
ABSTRACT
A comprehensive, high resolution, ground truthed benthic habitat map has been completed for Qatar's coastal zone and Halul Island. The objectives of this research were to; 1. Systematically compare and contrast pixel- and object-based classifiers for benthic mapping in a limited focus area and then to, 2. Apply these learnings to develop an accurate high resolution benthic habitat map for the entirety of the Qatari coastal zone. Results indicate object-based methods proved more efficient and accurate when compared to pixel based classifiers. The developed country-wide map covers 4500 km2 and underscores the complex interplay of seagrass, macroalgal, and reefal habitats, as well as areas of expansive mangrove forests and microbial mats. The map developed here is a first of its kind in the region. Many potential applications exist for the datasets collected to provide fundamental information that can be used for ecosystem-based management decision making.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema País/Região como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema País/Região como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article