High-resolution habitat and bathymetry maps for 65,000 sq. km of Earth’s remotest coral reefs

With compelling evidence that half the world’s coral reefs have been lost over the last four decades, there is urgent motivation to understand where reefs are located and their health. Without such basic baseline information, it is challenging to mount a response to the reef crisis on the global scale at which it is occurring. To combat this lack of baseline data, the Khaled bin Sultan Living Oceans Foundation embarked on a 10-yr survey of a broad selection of Earth’s remotest reef sites—the Global Reef Expedition. This paper focuses on one output of this expedition, which is meter-resolution seafloor habitat and bathymetry maps developed from DigitalGlobe satellite imagery and calibrated by field observations. Distributed on an equatorial transect across 11 countries, these maps cover 65,000 sq. km of shallow-water reef-dominated habitat. The study represents an order of magnitude greater area than has been mapped previously at high resolution. We present a workflow demonstrating that DigitalGlobe imagery can be processed to useful products for reef conservation at regional to global scale. We further emphasize that the performance of our mapping workflow does not deteriorate with increasing size of the site mapped. Whereas our workflow can produce regional-scale benthic habitat maps for the morphologically diverse reefs of the Pacific and Indian oceans, as well as the more depauperate reefs of the Atlantic, accuracies are substantially higher for the former than the latter. It is our hope that the map products delivered to the community by the Living Oceans Foundation will be utilized for conservation and act to catalyze new initiatives to chart the status of coral reefs globally.

[1]  P. Archambault,et al.  Revealing the regime of shallow coral reefs at patch scale by continuous spatial modeling , 2014, Front. Mar. Sci..

[2]  D. Neil,et al.  An evaluation of Landsat Thematic Mapper (TM) digital data for discriminating coral reef zonation: Heron Reef (GBR) , 1994 .

[3]  Samuel J. Purkis,et al.  The 2005 coral‐bleaching event Roatan (Honduras): Use of pseudoinvariant features (PIFs) in satellite assessments , 2008 .

[4]  I. S. Robinson,et al.  High-resolution ground verification, cluster analysis and optical model of reef substrate coverage on Landsat TM imagery (Red Sea, Egypt) , 2002 .

[5]  D. Bellwood,et al.  Confronting the coral reef crisis , 2004, Nature.

[6]  C. Wilkinson,et al.  Survey manual for tropical marine resources , 1994 .

[7]  Stuart R. Phinn,et al.  Coral Reef Remote Sensing: A Guide for Mapping, Monitoring and Management , 2013 .

[8]  Kendall L. Carder,et al.  Change detection in shallow coral reef environments using Landsat 7 ETM+ data , 2001 .

[9]  Simon Albert,et al.  Mapping coral reefs at reef to reef-system scales, 10s–1000s km2, using object-based image analysis , 2013 .

[10]  Stuart R. Phinn,et al.  Multi-site evaluation of IKONOS data for classification of tropical coral reef environments , 2003 .

[11]  Mark Spalding,et al.  World atlas of coral reefs , 2001 .

[12]  S. Phinn,et al.  Multi-scale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs , 2012 .

[13]  Scott F. Heron,et al.  Remote Sensing of Coral Reefs for Monitoring and Management: A Review , 2016, Remote. Sens..

[14]  S. Purkis,et al.  Patterns of Sedimentation in the Contemporary Red Sea as an Analog for Ancient Carbonates in Rift Settings , 2012 .

[15]  P. Fong,et al.  Is resilience socially constructed? Empirical evidence from Fiji, Ghana, Sri Lanka, and Vietnam , 2016 .

[16]  K. Bjorndal,et al.  Historical Overfishing and the Recent Collapse of Coastal Ecosystems , 2001, Science.

[17]  Ved Chirayath,et al.  Drones that see through waves – preliminary results from airborne fluid lensing for centimetre-scale aquatic conservation , 2016 .

[18]  J. Mortimer,et al.  Reefs and islands of the Chagos Archipelago, Indian Ocean: why it is the world's largest no-take marine protected area. , 2012, Aquatic conservation : marine and freshwater ecosystems.

[19]  F. Douvere The importance of marine spatial planning in advancing ecosystem-based sea use management , 2008 .

[20]  Samuel J. Purkis,et al.  The paradox of tropical karst morphology in the coral reefs of the arid Middle East , 2010 .

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

[22]  Stuart R. Phinn,et al.  Mapping Fish Community Variables by Integrating Field and Satellite Data, Object-Based Image Analysis and Modeling in a Traditional Fijian Fisheries Management Area , 2011, Remote. Sens..

[23]  S. Purkis,et al.  Diversity in the geomorphology of shallow-water carbonate depositional systems in the Saudi Arabian Red Sea , 2014 .

[24]  Sanaa Hobeichi,et al.  Remote sensing of Qatar nearshore habitats with perspectives for coastal management. , 2016, Marine pollution bulletin.

[25]  Nai‘a Lewis,et al.  Large marine protected areas – advantages and challenges of going big , 2014 .

[26]  Robert J Toonen,et al.  One size does not fit all: the emerging frontier in large-scale marine conservation. , 2013, Marine pollution bulletin.

[27]  Coral reef recovery in the Galápagos Islands: the northernmost islands (Darwin and Wenman) , 2015, Coral Reefs.

[28]  Chris Roelfsema,et al.  Coral reef habitat mapping: A combination of object-based image analysis and ecological modelling , 2018 .

[29]  J. Leon,et al.  Wave modelling as a proxy for seagrass ecological modelling: comparing fetch and process-based predictions for a bay and reef lagoon , 2015 .

[30]  Eric J. Hochberg,et al.  Capabilities of remote sensors to classify coral, algae, and sand as pure and mixed spectra , 2003 .

[31]  J. M. Kerr,et al.  Unravelling the influence of water depth and wave energy on the facies diversity of shelf carbonates , 2015 .

[32]  J. M. Kerr,et al.  An algorithm for optically-deriving water depth from multispectral imagery in coral reef landscapes in the absence of ground-truth data , 2018, Remote Sensing of Environment.

[33]  M. MacNeil,et al.  Predicting climate-driven regime shifts versus rebound potential in coral reefs , 2015, Nature.

[34]  S. Purkis,et al.  Remote Sensing Tropical Coral Reefs: The View from Above. , 2018, Annual review of marine science.

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

[36]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[37]  N. Gracias,et al.  Vertical-to-Lateral Transitions Among Cretaceous Carbonate Facies—A Means to 3-D Framework Construction Via Markov Analysis , 2012 .

[38]  S. Purkis,et al.  Predictability of reef fish diversity and abundance using remote sensing data in Diego Garcia (Chagos Archipelago) , 2008, Coral Reefs.

[39]  K. Bjorndal,et al.  Global Trajectories of the Long-Term Decline of Coral Reef Ecosystems , 2003, Science.

[40]  Giorgos Mountrakis,et al.  Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites , 2018 .

[41]  Steven Saul,et al.  Semi-Automated Object-Based Classification of Coral Reef Habitat using Discrete Choice Models , 2015, Remote. Sens..

[42]  P. Mumby,et al.  Benefits of water column correction and contextual editing for mapping coral reefs , 1998 .

[43]  Gilberto SALESa,et al.  AQUATIC CONSERVATION: MARINE AND FRESHWATER ECOSYSTEMS , 2010 .

[44]  Sarah M. Hamylton,et al.  A comparison of spatially explicit and classic regression modelling of live coral cover using hyperspectral remote-sensing data in the Al Wajh lagoon, Red Sea , 2012, Int. J. Geogr. Inf. Sci..

[45]  Caiyun Zhang,et al.  Object-based benthic habitat mapping in the Florida Keys from hyperspectral imagery , 2013 .

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

[47]  B. Hatcher,et al.  Inventory of the Maldives’ coral reefs using morphometrics generated from Landsat ETM+ imagery , 2004, Coral Reefs.

[48]  M. MacNeil,et al.  Climate Warming, Marine Protected Areas and the Ocean-Scale Integrity of Coral Reef Ecosystems , 2008, PloS one.

[49]  S. Purkis,et al.  Tight coupling between coral reef morphology and mapped resilience in the Red Sea. , 2016, Marine pollution bulletin.

[50]  M. Scheffer,et al.  Coral reefs in the Anthropocene , 2017, Nature.

[51]  S. Purkis,et al.  Red Sea Coral Reef Trajectories over 2 Decades Suggest Increasing Community Homogenization and Decline in Coral Size , 2012, PloS one.

[52]  John D. Hedley,et al.  Technical note: Simple and robust removal of sun glint for mapping shallow‐water benthos , 2005 .

[53]  R. Congalton,et al.  Accuracy assessment: a user's perspective , 1986 .

[54]  E. Fisher,et al.  The Coral Reef , 1964 .

[55]  Samuel J. Purkis,et al.  A "Reef-Up" approach to classifying coral habitats from IKONOS imagery , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[56]  Alicia Clarke,et al.  National summary of NOAA's shallow-water benthic habitat mapping of U.S. coral reef ecosystems , 2012 .

[57]  Antoine Collin,et al.  Towards Deeper Measurements of Tropical Reefscape Structure Using the WorldView-2 Spaceborne Sensor , 2012, Remote. Sens..

[58]  S. Purkis,et al.  Enhanced detection of the coral Acropora cervicornis from satellite imagery using a textural operator , 2006 .

[59]  L. Loubersac,et al.  Integrated study of aitutaki's lagoon (cook islands) using spot satellite data and in situ measurements: Bathymetric modelling , 1991 .

[60]  Samuel J. Purkis,et al.  Remote Sensing and Global Environmental Change , 2011 .

[61]  Serge Andréfouët,et al.  Remote sensing and fish-habitat relationships in coral reef ecosystems: review and pathways for multi-scale hierarchical research. , 2009, Marine pollution bulletin.

[62]  R. Sahul,et al.  Giant electromechanical coupling of relaxor ferroelectrics controlled by polar nanoregion vibrations , 2016, Science Advances.

[63]  Mireille Guillaume,et al.  Hyperspectral remote sensing of shallow waters: Considering environmental noise and bottom intra-class variability for modeling and inversion of water reflectance , 2017 .

[64]  S. Andréfouët,et al.  A comparison of Landsat ETM+, SPOT HRV, Ikonos, ASTER, and airborne MASTER data for coral reef habitat mapping in South Pacific islands , 2003 .

[65]  Matt Merrifield,et al.  Science-based and stakeholder-driven marine protected area network planning: A successful case study from north central California , 2010 .

[66]  R. Steneck,et al.  Status of Caribbean Reefs: Initial Results from the Atlantic and Gulf Rapid Reef Assessment (AGRRA) Program , 2000 .

[67]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[68]  S. Purkis,et al.  Documenting Decadal Spatial Changes in Seagrass and Acropora palmata Cover by Aerial Photography Analysis in Vieques, Puerto Rico: 1937-2000 , 2006 .

[69]  B. Kjerfve Comparative oceanography of coastal lagoons , 1986 .

[70]  S. Palumbi,et al.  MARINE RESERVES AND OCEAN NEIGHBORHOODS: The Spatial Scale of Marine Populations and Their Management , 2004 .

[71]  Zhenkui Ma,et al.  Tau coefficients for accuracy assessment of classification of remote sensing data , 1995 .

[72]  Botsford,et al.  Dependence of sustainability on the configuration of marine reserves and larval dispersal distance , 2001 .

[73]  S. Purkis,et al.  Geomorphology of Shallow Water Coral Reef Environments in the Red Sea , 2015 .

[74]  John L. Largier,et al.  AVOIDING CURRENT OVERSIGHTS IN MARINE RESERVE DESIGN , 2003 .

[75]  Samuel J. Purkis,et al.  Remote Sensing and Global Environmental Change: Purkis/Remote Sensing and Global Environmental Change , 2011 .

[76]  M. MacNeil,et al.  Ecosystem regime shifts disrupt trophic structure. , 2018, Ecological applications : a publication of the Ecological Society of America.

[77]  S. Purkis,et al.  Atlas of Saudi Arabian Red Sea Marine Habitats , 2013 .