Remote sensing of Qatar nearshore habitats with perspectives for coastal management.

A framework is proposed for utilizing remote sensing and ground-truthing field data to map benthic habitats in the State of Qatar, with potential application across the Arabian Gulf. Ideally the methodology can be applied to optimize the efficiency and effectiveness of mapping the nearshore environment to identify sensitive habitats, monitor for change, and assist in management decisions. The framework is applied to a case study for northeastern Qatar with a key focus on identifying high sensitivity coral habitat. The study helps confirm the presence of known coral and provides detail on a region in the area of interest where corals have not been previously mapped. Challenges for the remote sensing methodology associated with natural heterogeneity of the physical and biological environment are addressed. Recommendations on the application of this approach to coastal environmental risk assessment and management planning are discussed as well as future opportunities for improvement of the framework.

[1]  R. Stumpf,et al.  Determination of water depth with high‐resolution satellite imagery over variable bottom types , 2003 .

[2]  Serge Andréfouët,et al.  Coral reef habitat mapping using remote sensing: A user vs producer perspective. implications for research, management and capacity building , 2008 .

[3]  L. D. Neuman.  THE PROTECTION AND DEVELOPMENT OF THE MARINE ENVIRONMENT AND COASTAL AREAS OF THE KUWAIT CONFERENCE REGION: THE PROGRAM OF THE UNITED NATIONS SYSTEM1 , 1979 .

[4]  B. Riegl.  Effects of the 1996 and 1998 positive sea-surface temperature anomalies on corals, coral diseases and fish in the Arabian Gulf (Dubai, UAE) , 2002 .

[5]  David A. Feary,et al.  The Growing Need for Sustainable Ecological Management of Marine Communities of the Persian Gulf , 2011, AMBIO.

[6]  C. Sheppard,et al.  Coral mortality and recovery in response to increasing temperature in the southern Arabian Gulf , 2002 .

[7]  E. Shinn.  Coral reef recovery in Florida and the Persian Gulf , 1976 .

[8]  F. E. Muller-Karger,et al.  Synoptic water clarity assessment in the Florida Keys using diffuse attenuation coefficient estimated from Landsat imagery , 2004, Hydrobiologia.

[9]  B. Riegl,et al.  Corals in a non-reef setting in the southern Arabian Gulf (Dubai, UAE): fauna and community structure in response to recurring mass mortality , 1999, Coral Reefs.

[10]  R. Pasterkamp,et al.  Integrating in situ reef-top reflectance spectra with Landsat TM imagery to aid shallow-tropical benthic habitat mapping , 2004, Coral Reefs.

[11]  Chris Roelfsema,et al.  Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia , 2011 .

[12]  N. Dulvy,et al.  The Gulf: a young sea in decline. , 2010, Marine pollution bulletin.

[13]  Samuel J. Purkis,et al.  Spatial and temporal dynamics of Arabian Gulf coral assemblages quantified from remote-sensing and in situ monitoring data , 2005 .

[14]  F. Sabins.  Remote Sensing: Principles and Interpretation , 1987 .

[15]  S. al-Harthi,et al.  Coral Assemblages in the Southeastern Arabian Gulf (Qatar and Abu Dhabi, UAE): Various Stages of Acropora Recovery a Decade after Recurrent Elevated Temperature Anomalies , 2013 .

[16]  Sanaa Hobeichi.  An Integrated Approach to Benthic Habitat Classification of the North Eastern Qatar Marine Zone Using Remote Sensing, Geographic Information System, and in Situ Measurements , 2014 .

[17]  J. M. Kerr,et al.  Large-scale carbonate platform development of Cay Sal Bank, Bahamas, and implications for associated reef geomorphology , 2014 .

[18]  T. Lee,et al.  Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery , 1992 .

[19]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[20]  Chris Roelfsema,et al.  Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach , 2014 .

[21]  C. Roberts,et al.  Marine Ecology of the Arabian Region: Patterns and Processes in Extreme Tropical Environments , 1992 .