Open Access
Issue
BIO Web Conf.
Volume 176, 2025
International Conference on Blue Economy and Techno-Socio Environmental Innovation (INFLECTION 2024)
Article Number 01008
Number of page(s) 16
Section Integrated Coastal Management
DOI https://doi.org/10.1051/bioconf/202517601008
Published online 23 May 2025
  • F.N. Tirtaningtyas, Laut (2024). https://www.mongabay.co.id/2024/02/12/begini-kondisi-terumbu-karang-di-kepulauan-seribu/ (Viewed on 12 Nov 2024) [Google Scholar]
  • S. Villasante, Lopes, P. F., & Coll, M. Ecosystem services 17 (2016) [CrossRef] [Google Scholar]
  • S. L. Mahajan, Daw, T. Marine Policy, 74, 108–119 (2016) [CrossRef] [Google Scholar]
  • L. Burke, Reytar K, Spalding M, Perry A. Reefs at risk revisited. Washington, DC: World Resources Institute (WRI) (2011) [Google Scholar]
  • Amkieltiela, Handayani C. N., Andradi-Brown D. A., Estradivari, Ford A. K., Beger M., Hakim A., Muenzel D. K., Carter E., Agung F., Veverka L., Iqbal M., Lazuardi M. E., Fauzi M. N., Tranter S. N., Marine Policy, 146 (2022) [Google Scholar]
  • G. Setyadi, Pribadi, R., Wijayanti, D. P., & Sugianto, D. N. Biodiversitas Journal of Biological Diversity, 22, 8 (2021) [Google Scholar]
  • Hoegh-Guldberg, O., & Bruno, J. F, 328, 5985 (2010) [Google Scholar]
  • T. Beatley. Planning for coastal resilience: Best practices for calamitous times (Island Press, Washington DC, 2012) [Google Scholar]
  • C. J. Klein, C. Steinback, Watts, M., Scholz, A. J., & Possingham, H. P. Frontiers in Ecology and the Environment, 8, 7 (2010) [Google Scholar]
  • C. F. Gaymer, Stadel, A. V., Ban, N. C., Cárcamo, P. F., Ierna Jr, J., & Lieberknecht, L. M. Aquatic Conservation: Marine and Freshwater Ecosystems, 24, 2 (2014) [Google Scholar]
  • Y. Wang, Lu, Z., Sheng, Y., & Zhou, Y. Remote Sensing, 12, 9 (2020) [Google Scholar]
  • W. Ouellette & Getinet, W. Remote Sensing Applications: Society and Environment, 4, (2016) [Google Scholar]
  • J.E. Gross, Nemani, R. R., Turner, W., & Melton, F. Park Science, 24, 1 (2016) [Google Scholar]
  • A.P. Carleer, Debeir, O., & Wolff, E. Photo. Eng. Rem. Sens, 71, 11 (2005) [Google Scholar]
  • M. Hussain, Chen, D., Cheng, A., Wei, H., & Stanley, D. ISPRS Journal of photogrammetry and remote sensing, 80 (2013) [Google Scholar]
  • T. Blaschke. ISPRS J. Photo. Rem. Sens. 65, 1 (2010) [CrossRef] [Google Scholar]
  • B. A. Robson, Nuth, C., Dahl, S. O., Hölbling, D., Strozzi, T., & Nielsen, P. R.. Rem. Sens. Env. 170 (2015) [Google Scholar]
  • M. Darmawan, Sutrisno, D., Agus, S. B., Nahid, I., Rudiastuti, A. W., Suryanta, J., and Sangadji, M. S. In IOP Conference Series: Earth and Environmental Science (Vol. 1109, No. 1, p. 012058). IOP Publishing (2022) [Google Scholar]
  • M.D. Smith, J. Lynham, J.N. Sanchirico, J. N., J.A. Wilson 107, 43 (2010) [Google Scholar]
  • M.E. Watts, R.R Stewart, T.G. Martin, C.J. Klein, J. Carwardine, H.P. Possingham, Learning Landscape Ecology: A Practical Guide to Concepts and Techniques (2017) [Google Scholar]
  • L. Morales-Barquero, Lyons, M. B., Phinn, S. R., & Roelfsema, C. M. Trends in remote sensing accuracy assessment approaches in the context of natural resources. Remote sensing, 11(19), 2305 (2019) [CrossRef] [Google Scholar]
  • B. Feizizadeh, S. Darabi, S., Blaschke, T., & Lakes, T. QADI as a new method and alternative to kappa for accuracy assessment of remote sensing-based image classification. Sensors, 22 (12), 4506 (2022) [CrossRef] [PubMed] [Google Scholar]
  • A. E. Maxwell, Warner, T. A., & Guillén, L. A. Accuracy assessment in convolutional neural network-based deep learning remote sensing studies—Part 1: Literature review. Remote Sensing, 13 (13), 2450 (2021) [CrossRef] [Google Scholar]
  • R. G. Congalton & Green, K. Assessing the accuracy of remotely sensed data: principles and practices. CRC press (2019) [Google Scholar]
  • I.R. Ball, H.P. Possingham, M.M. Watts, Spatial conservation prioritisation: Quantitative methods and computational tools, 14 (2009) [Google Scholar]
  • D. Anggraeni, C.N. Handayani, D. Daniel, A. Wahyudi, T. Subarno, Z. Afandy, F. Firmansyah, Coast. Ocean J 1, 2 (2017) [Google Scholar]
  • A. Moilanen, Ball, I. R. Heuristic and approximate optimization methods for spatial conservation prioritization. In: Moilanen A, Wilson KA, Possingham HP (eds) Spatial conservation prioritization: quantitative methods and computational tools. Oxford University Press, Oxford (2019) [Google Scholar]
  • M. E. Watts, Stewart, R. R., Martin, T. G., Klein, C. J., Carwardine, J., and Possingham, H. P. Systematic conservation planning with Marxan. Learning Landscape Ecology: A Practical Guide to Concepts and Techniques, (2017) [Google Scholar]
  • J. Seják J., & Cudlín, P. On measuring the natural and environmental resource value and damages. Stud. Ecol, 4, 53–68 (2010) [Google Scholar]
  • V. Pechanec, I. Machar, T. Pohanka, Z. Opršal, F. Petrovič, J. Švajda, J. Málková, Nat. Conv. 24, (2018) [Google Scholar]
  • S. Mangubhai, M.V. Erdmann, J.R. Wilson, C.L. Huffard, F. Ballamu, N.I. Hidayat, W. Wen, Marine Pollut. Bullet, 64, 11 (2012) [Google Scholar]
  • C. R. Nichols, J. Zinnert, D.R. Young. sTomorrow’s Coasts: Complex and Impermanent, 119–136 (2019) [CrossRef] [Google Scholar]
  • G. M. Foody. Remote sensing of environment, 239, 111630 (2020) [CrossRef] [Google Scholar]
  • S. S. Rwanga, J. M Ndambuki Int. J. Geosci 8, 04 (2017) [Google Scholar]
  • R. Voss, M.F. Quaas, J.O. Schmidt, M.T. Stoeven, T.B. Francis, P.S. Levin, D.R. Armitage, J.S. Cleary, S. Jaclyn, R.R. Jones, L.C. Lee, D.K. Okamoto, Ecol. Model. 385 (2018) [Google Scholar]
  • R. C. Babcock, N.T. Shears, A.C. Alcala, N.S. Barrett, G.J. Edgar, K.D. Lafferty, G.R. Russ, G. R. Decadal trends in marine reserves reveal differential rates of change in direct and indirect effects, in Proceedings of the National Academy of Sciences, 107 (43), 18256–18261 (2010) [CrossRef] [PubMed] [Google Scholar]
  • P. Guidetti. Conserv. Biol. 21, 2 (2017) [Google Scholar]
  • IUCN. Establishing Resilient Marine Protected Area Networks Making it Happen: Full Technical Version, Including Ecological, Social and Governance Considerations, as Well as Case Studies. IUCN (2008) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.