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Geocarto International Volume 21, 2006 - Issue 4
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Original Articles

Measurement of Mangrove Biophysical Characteristics in the Bocozelle Ecosystem in Haiti Using ASTER Multispectral Data

Neudy Jean-Baptiste Marine Science Program, University of South Carolina, 712 Main Street, EWS 603, Columbia, SC, 29208, U.S.A.; Faculté d'Agronomie et de Medecine Vetertinaire (FAMV), Université d'Etat d'Haiti, Route Nationale # 1, Damien, Port-au-Prince, Haiti E-mail: [email protected]
&
John R. Jensen Department of Geography, University of South Carolina, Columbia, SC, 29208, U.S.A. E-mail: [email protected]
Pages 3-8 | Published online: 04 Jan 2008

Citations (12)

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Read on this site (3)

Sudip Manna & Barun Raychaudhuri. (2020) Mapping distribution of Sundarban mangroves using Sentinel-2 data and new spectral metric for detecting their health condition. Geocarto International 35:4, pages 434-452.
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Rajee George, Hitendra Padalia, S. K. Sinha & A. Senthil Kumar. (2018) Evaluation of the Use of Hyperspectral Vegetation Indices for Estimating Mangrove Leaf Area Index in Middle Andaman Island, India. Remote Sensing Letters 9:11, pages 1099-1108.
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Anna Versluis & John Rogan. (2010) Mapping land-cover change in a Haitian watershed using a combined spectral mixture analysis and classification tree procedure. Geocarto International 25:2, pages 85-103.
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Articles from other publishers (9)

Parul Maurya, Anup Kumar Das & Rina Kumari. 2021. Advances in Remote Sensing for Natural Resource Monitoring. Advances in Remote Sensing for Natural Resource Monitoring 247 268 .
Samy I. Elmahdy, Tarig A. Ali, Mohamed M. Mohamed, Fares M. Howari, Mohamed Abouleish & Daniel Simonet. (2020) Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tree Models. Frontiers in Environmental Science 8.
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Nicolas Younes, Karen E. Joyce, Tobin D. Northfield & Stefan W. Maier. (2019) The effects of water depth on estimating Fractional Vegetation Cover in mangrove forests. International Journal of Applied Earth Observation and Geoinformation 83, pages 101924.
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Rosmasita, Vincentius P Siregar, Syamsul B Agus & Romie Jhonnerie. (2019) An object-based classification of mangrove land cover using Support Vector Machine Algorithm. IOP Conference Series: Earth and Environmental Science 284:1, pages 012024.
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Nicolás Younes Cárdenas, Karen E. Joyce & Stefan W. Maier. (2017) Monitoring mangrove forests: Are we taking full advantage of technology?. International Journal of Applied Earth Observation and Geoinformation 63, pages 1-14.
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Muhammad Kamal, Stuart Phinn & Kasper Johansen. (2016) Assessment of multi-resolution image data for mangrove leaf area index mapping. Remote Sensing of Environment 176, pages 242-254.
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Nguyen-Thanh Son, Chi-Farn Chen, Ni-Bin Chang, Cheng-Ru Chen, Ly-Yu Chang & Bui-Xuan Thanh. (2015) Mangrove Mapping and Change Detection in Ca Mau Peninsula, Vietnam, Using Landsat Data and Object-Based Image Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8:2, pages 503-510.
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Ranjani W. Kulawardhana, Sorin C. Popescu & Rusty A. Feagin. (2014) Fusion of lidar and multispectral data to quantify salt marsh carbon stocks. Remote Sensing of Environment 154, pages 345-357.
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D. Kamthonkiat, C. Rodfai, A. Saiwanrungkul, S. Koshimura & M. Matsuoka. (2011) Geoinformatics in mangrove monitoring: damage and recovery after the 2004 Indian Ocean tsunami in Phang Nga, Thailand. Natural Hazards and Earth System Sciences 11:7, pages 1851-1862.
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