Discrimination of Mangrove Ecosystem Objects on the Visible Spectrum Using Spectroradiometer HR-1024
Amal Arfan(1*)(1) Jurusan Geografi, FMIPA Universitas Negeri Makassar
(*) Corresponding Author
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Adam, E., & Muntanga, O. 2009. Spectral discrimination of papyrus vegetation (Cyperuspapyrus L.) in swamp wetlands using field spectrometry. ISPRS Journal Photogrammetry and Remote Sensing ,64 (2009), 612-620.
Ajithkumar, T.T., Thangaradjou, T., & Kannan, L. 2008.Spectral reflectance properties of mangrove species of the Muthupettai mangrove environment, Tamil Nadu.Journal of Environmental Biology, 29(5), 785-788.
Al, C,. Liao NF., Tian LX., Shi YX., & Li, B.J. 2010. Identification of cucumber disease using hyperspectral imaging and discriminate analysis. Guang Pu Xue Yu Guang Pu Fen X, 30(5), 1357-61.
Alongi, D.M. 2002. Present state and future of the world’s mangrove forests. Environ. Conserv, 29, 331-349.
Aschbacher, J., Tiangco, P., Giri, C.P., Ofren, R.S., Paudyal, D.R., & Ang, Y.K. 1995. Comparison of different sensors and analysis techniques for tropical mangrove forest mapping.In: Proceedings of the International Conference IGARSS, 2109-2111.
Belluco, E., Camuffo, M., Ferrari, S., Modenese, L., Silvestri, S., Marani, A., & Marani, M. 2006. Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote Sensing of Environment, 105 (1), 54-67.
Berlanga-Robles, C.A., & Ruiz-Luna, A. 2002. Land use mapping and change detection in the coastal zone of northwest Mexico using remote sensing techniques. Journal of Coastal Research, 18, 514-522.
Brown, K. 2004. Increasing classification accuracy of coastal habitats using integrated airborne remote sensing. EAR SeL Proceedings, 3 (1), 34-42.
Chun, B. B., Jafri, M.Z.M., & San, L.H. 2011. Reflectance Characteristic of Certain MangroveSpecies at Matang Mangrove Forest Reserve,Malaysia. Proceeding of the 2011 IEEE International Conference on Space Science and Communication (IconSpace) 12-13 July 2011, Penang, Malaysia.
Danoedoro, P. 2012. Pengantar Penginderaan Jauh Digital.Yogyakarta.
Enrica, B., Monica, C., Sergio, F., Lorenza, M., Sonia, S., Alessandro, M., & Marco, M. 2006. Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote Sensing of Environment, 105 (1), 54-67.
ERDAS Field Guide.2005. Leica Ecosystems Geospatial Imaging.LLC.
Gao, J. 1999. A comparative study on spatial and spectral resolutions of satellite data in mapping mangrove forests.International Journal of Remote Sensing , 2823-2833.
Green, E.P., Clark, C.D., & Edwards, A.J. 2000.Image classification and habitat mapping. In: Remote Sensing Handbook for Tropical Coastal Management. UNESCO, Paris, 141-154.
Hogart, P.J. 1999. The Biology of Mangroves. Oxford University Press, New York
Howari, F. M., Jordan, B. R., Bouhounce, N., & Wyllie-Echeverria, S. 2009. Field and remote-sensing assessment of mangrove forests and seagrass beds in the Northwestern Part of the United Arab Emirates.Journal of Coastal Research, 25(1), 48-56.
Ismail, R., Mutanga, O., & Ahmed, F. 2007. Discriminating Sirex noctilio attack in pine forest plantations in South Africa using high spectral resolution data. In: Kalacska, M., Sanchez Azofeifa, A. (Eds.), Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests. Taylor and Francis, CRC Press, Routledge, USA, 350.
Kamaruzaman, J., & Kasawani, I. 2007. Imaging spectrometry on mangrove species identification and mapping in Malaysia. Wseas Transctions on Biology and Biomedicine, 8 (4) , 118-126.
Klecka, W. R. 1980. Discriminant analysis. Beverly Hills, CA: Sage.
Lillesand, T.M., & Kiefer, R.W. 1970. Remote Sensing and Image Interpretation.Wiley, Chichester.
Liu, K., & Li, X. 2008. Monitoring mangrove forest changes using remote sensing and GIS data with decision-tree learning wetlands. The Society of Wetland Scientists, 28(2), 336–346.
Manson, F.J., Loneragan, N.R., & Phinn, S.R. 2005. Spatial and temporal variation in distribution of mangroves in Moreton Bay, subtropical Australia: a comparison of pattern metrics and change detection analysesbased on aerial photographs. Estuarine, Coastal and Shelf Science, 57, 653-666.
Murray, M. R., Zisman, S. A., Furley, P. A., Munro, D. M., Gibson, J., & Ratter, J.2003.The mangroves of Belize Part 1.Distribution, composition and classification.Forest Ecology and Management, 174(1-3), 265–279.
Nagelkerken, I., Blaber, S. J. M., Bouillon, S., Green, P., Haywood, M., & Kirton, L. G. 2008. The habitat function of mangroves for terrestrial and marine fauna: A review. Aquatic Botany,89, 155–185.
Pengra, B.W., Johnston, C.A., & Loveland, T.R. 2007. Mapping an invasive plant, Phragmites australis, in coastal wetlands using the EO-1 Hyperion hyperspectral sensor. Remote Sensing of Environment,108 (1), 74-81.
Ramsey, E.W., & Jensen, J.R. 1996. Remote sensing of mangrove wetlands: relating canopy spectra to site-specific data. Photogrammetric Engineering and Remote Sensing,62, 939-948.
Richards, J.A. 1993. Remote Sensing Digital Image Analysis: An Introduction. Springer-Verlag, Berlin.
Rosso, P.H., Ustin, S.L., & Hastings, A. 2005.Mapping marshland vegetation of San Francisco Bay, California, using hyperspectral data.International Journal of Remote Sensing, 26 (23), 5169-5191.
Schmidt, K.S., & Skidmore, A.K. 2003. Spectral discrimination of vegetation types in a coastal wetland. Remote Sensing of Environment , 85 (1), 92-108.
Sheridan, P., & Hays, C. 2003. Are mangroves nursery habitat for transient fishes and decapods Wetlands, 23(2), 449–458.
Spalding, M.D. 1998. Patterns of biodiversity in coral reefs and mangroves: global and local scales.Ph.D.Thesis. University of Cambridge, U.K.
Sulong, I., Mohd-Lokman, H., Mohd-Tarmizi, K., & Ismail, A. 2002. Mangrove mapping using Landsat imagery and aerial photographs: Kemaman District, Terengganu. Malaysia Environment, Development and Sustainability, 4, 135-152.
Thenkabail, P.S., Eden A., Enclona, E.A., Mark, S., Ashton, M.S., & Van Der Meer, B. 2004. Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications.Remote Sensing of Environment,91, 345 – 376.
Vaiphasa, C., Ongsomwang, S., Vaiphasa, T., Skidmore, A.K. 2005. Tropical mangrove species discrimination using hyperspectral data: A laboratory study. Estuarine, Coastal, and Shelf Science, 65 (1-2), 371-379.
Van Aardt, J.A.N., & R.H. Wynne. 2007. Examining pine separability using hyperspectral data from an airborne sensor: An extension of field-based results. International Journal of Remote Sensing, 28, 431-436.
Walters, B.B., Ronnback, P., Kovacs, J.M., Crona, B., Hussain, S.A., Badola, R., Primavera, J.H., Barbier, E., & Dahdouh-Guebas, F. 2008. Ethnobiology, socio-economics and management of mangrove forests: A review. Aquat. Bot, 89, 220-236.
Zhao, G., & Maclean, A.L. 2000. A comparison of Canonical Discriminant Analysis and Principal Compenent Analysis for Spectral Transformation. Photogrammetric Engeneering & Remote Sensing, 66, 841 – 847.
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