Ningaloo Reef: Shallow Marine Habitats Mapped Using a Hyperspectral Sensor

被引:69
作者
Kobryn, Halina T. [1 ]
Wouters, Kristin [1 ]
Beckley, Lynnath E. [1 ]
Heege, Thomas [2 ]
机构
[1] Murdoch Univ, Sch Vet & Life Sci, Murdoch, WA 6150, Australia
[2] EOMAP, Gilching, Germany
关键词
LANDSAT-THEMATIC-MAPPER; REMOTE-SENSING DATA; CORAL-REEFS; SPECTRAL DISCRIMINATION; BENTHIC COMMUNITIES; SPATIAL-RESOLUTION; SATELLITE; CLASSIFICATION; CONSERVATION; REFLECTANCE;
D O I
10.1371/journal.pone.0070105
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Research, monitoring and management of large marine protected areas require detailed and up-to-date habitat maps. Ningaloo Marine Park (including the Muiron Islands) in north-western Australia (stretching across three degrees of latitude) was mapped to 20 m depth using HyMap airborne hyperspectral imagery (125 bands) at 3.5 m resolution across the 762 km(2) of reef environment between the shoreline and reef slope. The imagery was corrected for atmospheric, air-water interface and water column influences to retrieve bottom reflectance and bathymetry using the physics-based Modular Inversion and Processing System. Using field-validated, image-derived spectra from a representative range of cover types, the classification combined a semi-automated, pixel-based approach with fuzzy logic and derivative techniques. Five thematic classification levels for benthic cover (with probability maps) were generated with varying degrees of detail, ranging from a basic one with three classes (biotic, abiotic and mixed) to the most detailed with 46 classes. The latter consisted of all abiotic and biotic seabed components and hard coral growth forms in dominant or mixed states. The overall accuracy of mapping for the most detailed maps was 70% for the highest classification level. Macro-algal communities formed most of the benthic cover, while hard and soft corals represented only about 7% of the mapped area (58.6 km(2)). Dense tabulate coral was the largest coral mosaic type (37% of all corals) and the rest of the corals were a mix of tabulate, digitate, massive and soft corals. Our results show that for this shallow, fringing reef environment situated in the arid tropics, hyperspectral remote sensing techniques can offer an efficient and cost-effective approach to mapping and monitoring reef habitats over large, remote and inaccessible areas.
引用
收藏
页数:22
相关论文
共 81 条
[1]   AN EVALUATION OF LANDSAT-THEMATIC-MAPPER (TM) DIGITAL DATA FOR DISCRIMINATING CORAL-REEF ZONATION - HERON-REEF (GBR) [J].
AHMAD, W ;
NEIL, DT .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (13) :2583-2597
[2]   An analytical model for subsurface irradiance and remote sensing reflectance in deep and shallow case-2 waters [J].
Albert, A ;
Mobley, CD .
OPTICS EXPRESS, 2003, 11 (22) :2873-2890
[3]   Coral reef distribution, status and geomorphology-biodiversity relationship in Kuna Yala (San Blas) archipelago, Caribbean Panama [J].
Andréfouët, S ;
Guzman, HM .
CORAL REEFS, 2005, 24 (01) :31-42
[4]   Multi-site evaluation of IKONOS data for classification of tropical coral reef environments [J].
Andréfouët, S ;
Kramer, P ;
Torres-Pulliza, D ;
Joyce, KE ;
Hochberg, EJ ;
Garza-Pérez, R ;
Mumby, PJ ;
Riegl, B ;
Yamano, H ;
White, WH ;
Zubia, M ;
Brock, JC ;
Phinn, SR ;
Naseer, A ;
Hatcher, BG ;
Muller-Karger, FE .
REMOTE SENSING OF ENVIRONMENT, 2003, 88 (1-2) :128-143
[5]   Choosing the appropriate spatial resolution for monitoring coral bleaching events using remote sensing [J].
Andréfouët, S ;
Berkelmans, R ;
Odriozola, L ;
Done, T ;
Oliver, J ;
Müller-Karger, F .
CORAL REEFS, 2002, 21 (02) :147-154
[6]  
Andréfouët S, 2001, CORAL REEFS, V19, P259
[7]  
[Anonymous], 2002, Choice Reviews Online, DOI DOI 10.5860/CHOICE.39-2540
[8]  
[Anonymous], 2009, ASSESSING ACCURACY R
[9]  
[Anonymous], 2006, REMOTE SENSING DIGIT
[10]  
Bancroft KP, 2000, MAJOR MARINE HABITAT