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Volumn 8, Issue 4, 2016, Pages

An integrated field and remote sensing method for mapping seagrass species, cover, and biomass in Southern Thailand

Author keywords

Biomass; Percentage cover; Remote sensing; Seagrass; Species diversity; Worldview 2

Indexed keywords

BIODIVERSITY; BIOMASS; GLOBAL POSITIONING SYSTEM; INFRARED DEVICES; LINEAR REGRESSION; MAPPING; MARINE BIOLOGY; PLANTS (BOTANY); REGRESSION ANALYSIS; TRACKING (POSITION);

EID: 84971657546     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8040292     Document Type: Article
Times cited : (52)

References (34)
  • 2
    • 84920983076 scopus 로고    scopus 로고
    • The application of remote sensing to seagrass ecosystems: An overview and future research prospects
    • Hossain, M.S.; Bujang, J.S.; Zakaria, M.H.; Hashim, M. The application of remote sensing to seagrass ecosystems: An overview and future research prospects. Int. J. Remote Sens. 2015, 36, 61-114.
    • (2015) Int. J. Remote Sens , vol.36 , pp. 61-114
    • Hossain, M.S.1    Bujang, J.S.2    Zakaria, M.H.3    Hashim, M.4
  • 3
    • 79957463764 scopus 로고    scopus 로고
    • Remote sensing of seagrasses in a patchy multi-species environment
    • Knudby, A.; Nordlund, L. Remote sensing of seagrasses in a patchy multi-species environment. Int. J. Remote Sens. 2011, 32, 2227-2244.
    • (2011) Int. J. Remote Sens , vol.32 , pp. 2227-2244
    • Knudby, A.1    Nordlund, L.2
  • 4
    • 0021557910 scopus 로고
    • Faunal communities in seagrass beds: A review of the influence of plant structure and prey characteristics on predator-prey relationships
    • Orth, R.J.; Heck, K.L.; van Montfrans, J. Faunal communities in seagrass beds: A review of the influence of plant structure and prey characteristics on predator-prey relationships. Estuaries 1984, 7, 339-350.
    • (1984) Estuaries , vol.7 , pp. 339-350
    • Orth, R.J.1    Heck, K.L.2    van Montfrans, J.3
  • 5
    • 67849095610 scopus 로고    scopus 로고
    • An integrated field and remote sensing approach for mapping seagrass cover, Moreton Bay, Australia
    • Roelfsema, C.M.; Phinn, S.R.; Udy, N.; Maxwell, P. An integrated field and remote sensing approach for mapping seagrass cover, Moreton Bay, Australia. J. Spat. Sci. 2009, 54, 45-62.
    • (2009) J. Spat. Sci , vol.54 , pp. 45-62
    • Roelfsema, C.M.1    Phinn, S.R.2    Udy, N.3    Maxwell, P.4
  • 8
    • 34548188952 scopus 로고    scopus 로고
    • Satellite-based monitoring of tropical seagrass vegetation: Current techniques and future developments
    • Ferwerda, J.G.; de Leeuw, J.; Atzberger, C.; Vekerdy, Z. Satellite-based monitoring of tropical seagrass vegetation: Current techniques and future developments. Hydrobiologia 2007, 591, 59-71.
    • (2007) Hydrobiologia , vol.591 , pp. 59-71
    • Ferwerda, J.G.1    de Leeuw, J.2    Atzberger, C.3    Vekerdy, Z.4
  • 11
    • 0027449721 scopus 로고
    • Remote sensing of submerged vegetation canopies for biomass estimation
    • Armstrong, R.A. Remote sensing of submerged vegetation canopies for biomass estimation. Int. J. Remote Sens. 1993, 14, 621-627.
    • (1993) Int. J. Remote Sens , vol.14 , pp. 621-627
    • Armstrong, R.A.1
  • 12
    • 79959699321 scopus 로고    scopus 로고
    • Integrating Quickbird multi-spectral satellite and field data: Mapping bathymetry, seagrass cover, seagrass species and change in Moreton Bay, Australia in 2004 and 2007
    • Lyons, M.; Phinn, S.; Roelfsema, C. Integrating Quickbird multi-spectral satellite and field data: Mapping bathymetry, seagrass cover, seagrass species and change in Moreton Bay, Australia in 2004 and 2007. Remote Sens. 2011, 3, 42-64.
    • (2011) Remote Sens , vol.3 , pp. 42-64
    • Lyons, M.1    Phinn, S.2    Roelfsema, C.3
  • 13
    • 59049092623 scopus 로고    scopus 로고
    • Field and remote-sensing assessment of mangrove forests and seagrass beds in the Northwestern part of the United Arab Emirates
    • Howari, F.M.; Jordan, B.R.; Bouhouche, N.;Wyllie-Echeverria, S. Field and remote-sensing assessment of mangrove forests and seagrass beds in the Northwestern part of the United Arab Emirates. J. Coast. Res. 2009, 25, 48-56.
    • (2009) J. Coast. Res , vol.25 , pp. 48-56
    • Howari, F.M.1    Jordan, B.R.2    Bouhouche, N.3    Wyllie-Echeverria, S.4
  • 14
    • 0027608633 scopus 로고
    • Monitoring spatial change in seagrass habitat with aerial photography
    • Ferguson, R.L.; Wood, L.L.; Graham, D.B. Monitoring spatial change in seagrass habitat with aerial photography. Photogramm. Eng. Remote Sens. 1993, 59, 1033-1038.
    • (1993) Photogramm. Eng. Remote Sens , vol.59 , pp. 1033-1038
    • Ferguson, R.L.1    Wood, L.L.2    Graham, D.B.3
  • 15
    • 74349125682 scopus 로고    scopus 로고
    • Increase in seagrass distribution at Bourgneuf Bay (France) detected by spatial remote sensing
    • Barillé, L.; Robin, M.; Harin, N.; Bargain, A.; Launeau, P. Increase in seagrass distribution at Bourgneuf Bay (France) detected by spatial remote sensing. Aquat. Bot. 2010, 92, 185-194.
    • (2010) Aquat. Bot , vol.92 , pp. 185-194
    • Barillé, L.1    Robin, M.2    Harin, N.3    Bargain, A.4    Launeau, P.5
  • 16
    • 84953439963 scopus 로고    scopus 로고
    • Variations of tidal exposures and seasons on growth, morphology, anatomy and physiology of the seagrass Halophila ovalis (R. Br.) Hook. f. in a seagrass bed in Trang Province, Southern Thailand
    • Kaewsrikhaw, R.; Ritchie, R.J.; Prathep, A. Variations of tidal exposures and seasons on growth, morphology, anatomy and physiology of the seagrass Halophila ovalis (R. Br.) Hook. f. in a seagrass bed in Trang Province, Southern Thailand. Aquat. Bot. 2016, 130, 11-20.
    • (2016) Aquat. Bot , vol.130 , pp. 11-20
    • Kaewsrikhaw, R.1    Ritchie, R.J.2    Prathep, A.3
  • 18
    • 45649085650 scopus 로고    scopus 로고
    • Mapping seagrass species, cover and biomass in shallow waters: An assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia)
    • Phinn, S.; Roelfsema, C.; Dekker, A.; Brando, V.; Anstee, J. Mapping seagrass species, cover and biomass in shallow waters: An assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia). Remote Sens. Environ. 2008, 112, 3413-3425.
    • (2008) Remote Sens. Environ , vol.112 , pp. 3413-3425
    • Phinn, S.1    Roelfsema, C.2    Dekker, A.3    Brando, V.4    Anstee, J.5
  • 19
    • 33745104517 scopus 로고    scopus 로고
    • Mapping submergent aquatic vegetation in the US Great Lakes using Quickbird satellite data
    • Wolter, P.T.; Johnston, C.A.; Niemi, G.J. Mapping submergent aquatic vegetation in the US Great Lakes using Quickbird satellite data. Int. J. Remote Sens. 2005, 26, 5255-5274.
    • (2005) Int. J. Remote Sens , vol.26 , pp. 5255-5274
    • Wolter, P.T.1    Johnston, C.A.2    Niemi, G.J.3
  • 21
    • 0008902960 scopus 로고
    • Community structure and biomass of seagrass beds in the Andaman Sea. I. Mangrove-associated seagrass beds
    • Poovachiranon, S.; Chansang, H. Community structure and biomass of seagrass beds in the Andaman Sea. I. Mangrove-associated seagrass beds. Phuket Mar. Biol. Cent. Res. Bull. 1994, 59, 53-64.
    • (1994) Phuket Mar. Biol. Cent. Res. Bull , vol.59 , pp. 53-64
    • Poovachiranon, S.1    Chansang, H.2
  • 26
    • 33747376402 scopus 로고    scopus 로고
    • Coral point count with excel extensions (CPCe): A visual basic program for the determination of coral and substrate coverage using random point count methodology
    • Kohler, K.E.; Gill, S.M. Coral point count with excel extensions (CPCe): A visual basic program for the determination of coral and substrate coverage using random point count methodology. Comput. Geosci. 2006, 32, 1259-1269.
    • (2006) Comput. Geosci , vol.32 , pp. 1259-1269
    • Kohler, K.E.1    Gill, S.M.2
  • 27
    • 0037986221 scopus 로고    scopus 로고
    • Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions
    • Foody, G.M.; Boyd, D.S.; Cutler, M.E. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sens. Environ. 2003, 85, 463-474.
    • (2003) Remote Sens. Environ , vol.85 , pp. 463-474
    • Foody, G.M.1    Boyd, D.S.2    Cutler, M.E.3
  • 28
    • 0003588753 scopus 로고    scopus 로고
    • Erdas Inc.: Atlanta, GA, USA
    • ERDAS. ERDAS Field Guide; Erdas Inc.: Atlanta, GA, USA, 1999.
    • (1999) ERDAS Field Guide
  • 29
    • 0029341018 scopus 로고
    • A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land use classification
    • Paola, J.D.; Schowengerdt, R.A. A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land use classification. IEEE Trans. Geosci. Remote Sens. 1995, 33, 981-996.
    • (1995) IEEE Trans. Geosci. Remote Sens , vol.33 , pp. 981-996
    • Paola, J.D.1    Schowengerdt, R.A.2
  • 31
    • 24944474623 scopus 로고    scopus 로고
    • Quantitative estimation of the distribution and biomass of seagrass at Haad Chao Mai National Park, Trang Province, Thailand
    • Nakaoka, M.; Supanwanid, C. Quantitative estimation of the distribution and biomass of seagrass at Haad Chao Mai National Park, Trang Province, Thailand. Kasetsart Univ. Fish. Res. Bull. 2000, 22, 10-22.
    • (2000) Kasetsart Univ. Fish. Res. Bull , vol.22 , pp. 10-22
    • Nakaoka, M.1    Supanwanid, C.2
  • 33
    • 84954516431 scopus 로고    scopus 로고
    • Rates and drivers of mangrove deforestation in Southeast Asia, 2000-2012
    • Richards, D.R.; Friess, D.A. Rates and drivers of mangrove deforestation in Southeast Asia, 2000-2012. Proc. Natl. Acad. Sci. USA 2016, 113, 344-349.
    • (2016) Proc. Natl. Acad. Sci. USA , vol.113 , pp. 344-349
    • Richards, D.R.1    Friess, D.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.