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Status and distributions of global mangroves have been mapped using recently available Global Land Survey (GLS) data and the Landsat archive. Approximately 1000 Landsat scenes were interpreted using hybrid supervised and unsupervised digital image classifcation techniques. Each image was normalized for variation in solar angle and earth-sun distance by converting the digital number values to the top-of-the-atmosphere reflectance. Ground truth data and existing maps and databases were used to select training samples and also for iterative labelling. Results were validated using existing GIS data and the published literature to map ‘true mangroves’.
C. Giri [1]*, E. Ochieng [2], L. L. Tieszen [3], Z. Zhu [4], A. Singh [5], T. Loveland [3], J. Masek [6] and N. Duke [7]
[1] ARSC Research and Technology Solutions, contractor to US Geological Survey (USGS) Earth Resources Observation and Science Center (EROS), Sioux Falls, SD 57198, USA,
[2] United Nations Environment Programme, United Nations Avenue, Gigiri, PO Box 30552, 00100, Nairobi, Kenya,
[3] US Geological Survey, Earth Resources Observation and Science Center (EROS), Sioux Falls, SD 57198, USA,
[4] US Geological Survey, Reston, VA 20192, USA,
[5] United Nations Environment Programme, Washington, DC 20006, USA,
[6] Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, MD 20771, USA,
[7] Centre for Marine Studies, Marine Botany Group, c/-Gehrmann Building (60), Level 8, The University of Queensland, Brisbane, QLD 4072, Australia
1) Adhere to terms and conditions of access, 2) acknowledge the source appropriately, 3) do not re-distribute part or all of data without contacting UNEP-WCMC.
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