A diver-operated hyperspectral imaging and topographic surveying system for automated mapping of benthic habitats

被引:68
作者
Chennu, Arjun [1 ]
Faeber, Paul [1 ]
De'ath, Glenn [2 ]
de Beer, Dirk [1 ]
Fabricius, Katharina E. [2 ]
机构
[1] Max Planck Inst Marine Microbiol, Bremen, Germany
[2] Australian Inst Marine Sci, Townsville, Qld, Australia
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
关键词
SPECTRAL-SPATIAL CLASSIFICATION; CORAL-REEFS; PIGMENTS; DISCRIMINATION; REFLECTANCE; MANAGEMENT; DECLINE; TRENDS; IMPACT; COVER;
D O I
10.1038/s41598-017-07337-y
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
We developed a novel integrated technology for diver-operated surveying of shallow marine ecosystems. The HyperDiver system captures rich multifaceted data in each transect: hyperspectral and color imagery, topographic profiles, incident irradiance and water chemistry at a rate of 15-30 m(2) per minute. From surveys in a coral reef following standard diver protocols, we show how the rich optical detail can be leveraged to generate photopigment abundance and benthic composition maps. We applied machine learning techniques, with a minor annotation effort (<2% of pixels), to automatically generate cm-scale benthic habitat maps of high taxonomic resolution and accuracy (93-97%). The ability to efficiently map benthic composition, photopigment densities and rugosity at reef scales is a compelling contribution to modernize reef monitoring. Seafloor-level hyperspectral images can be used for automated mapping, avoiding operator bias in the analysis and deliver the degree of detail necessary for standardized environmental monitoring. The technique can deliver fast, objective and economic reef survey results, making it a valuable tool for coastal managers and reef ecologists. Underwater hyperspectral surveying shares the vantage point of the high spatial and taxonomic resolution restricted to field surveys, with analytical techniques of remote sensing and provides targeted validation for aerial monitoring.
引用
收藏
页数:12
相关论文
共 74 条
  • [1] A Standardised Vocabulary for Identifying Benthic Biota and Substrata from Underwater Imagery: The CATAMI Classification Scheme
    Althaus, Franziska
    Hill, Nicole
    Ferrari, Renata
    Edwards, Luke
    Przeslawski, Rachel
    Schoenberg, Christine H. L.
    Stuart-Smith, Rick
    Barrett, Neville
    Edgar, Graham
    Colquhoun, Jamie
    Tran, Maggie
    Jordan, Alan
    Rees, Tony
    Gowlett-Holmes, Karen
    [J]. PLOS ONE, 2015, 10 (10):
  • [2] Flattening of Caribbean coral reefs: region-wide declines in architectural complexity
    Alvarez-Filip, Lorenzo
    Dulvy, Nicholas K.
    Gill, Jennifer A.
    Cote, Isabelle M.
    Watkinson, Andrew R.
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2009, 276 (1669) : 3019 - 3025
  • [3] Barott K, 2009, PLOS ONE, V4, DOI [10.1371/journal.pone.0008043, 10.1371/journal.pone.0010950]
  • [4] Towards Automated Annotation of Benthic Survey Images: Variability of Human Experts and Operational Modes of Automation
    Beijbom, Oscar
    Edmunds, Peter J.
    Roelfsema, Chris
    Smith, Jennifer
    Kline, David I.
    Neal, Benjamin P.
    Dunlap, Matthew J.
    Moriarty, Vincent
    Fan, Tung-Yung
    Tan, Chih-Jui
    Chan, Stephen
    Treibitz, Tali
    Gamst, Anthony
    Mitchell, B. Greg
    Kriegman, David
    [J]. PLOS ONE, 2015, 10 (07):
  • [5] Beijbom O, 2012, PROC CVPR IEEE, P1170, DOI 10.1109/CVPR.2012.6247798
  • [6] Hierarchical Classification in AUV Imagery
    Bewley, M. S.
    Nourani-Vatani, N.
    Rao, D.
    Douillard, B.
    Pizarro, O.
    Williams, S. B.
    [J]. FIELD AND SERVICE ROBOTICS, 2015, 105 : 3 - 16
  • [7] Blanchet J.-N., 2016, PEERJ PREPRINTS, V4, DOI [10.7287/peerj.preprints.2026v2, DOI 10.7287/PEERJ.PREPRINTS.2026V2]
  • [8] Object based image analysis for remote sensing
    Blaschke, T.
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (01) : 2 - 16
  • [9] A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data
    Brando, Vittorio E.
    Anstee, Janet M.
    Wettle, Magnus
    Dekker, Arnold G.
    Phinn, Stuart R.
    Roelfsema, Chris
    [J]. REMOTE SENSING OF ENVIRONMENT, 2009, 113 (04) : 755 - 770
  • [10] Regional Decline of Coral Cover in the Indo-Pacific: Timing, Extent, and Subregional Comparisons
    Bruno, John F.
    Selig, Elizabeth R.
    [J]. PLOS ONE, 2007, 2 (08):