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Open-Set Hyperspectral Classification for Species-Level Mangrove Mapping Using Unmanned Aerial Vehicle Imagery: A Case Study at Jupiter Inlet Lighthouse Outstanding Natural Area, Florida, U.S.A.

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Title: Open-Set Hyperspectral Classification for Species-Level Mangrove Mapping Using Unmanned Aerial Vehicle Imagery: A Case Study at Jupiter Inlet Lighthouse Outstanding Natural Area, Florida, U.S.A.
Authors: Manikkavasagam, Nithish1, nmanikkavasa2023@fau.edu, Nagarajan, Sudhagar1, Hindle, Tucker1, DeWitt, Peter2
Source: Journal of Coastal Research; 2026, Vol. 42 Issue 3, p425-438, 14p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: Open-Set Hyperspectral Classification for Species-Level Mangrove Mapping Using Unmanned Aerial Vehicle Imagery: A Case Study at Jupiter Inlet Lighthouse Outstanding Natural Area, Florida, U.S.A.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Coastal+Research%22">Journal of Coastal Research</searchLink>; 2026, Vol. 42 Issue 3, p425-438, 14p
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      – Type: doi
        Value: 10.2112/JCOASTRES-D-25-00030.1
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      – Code: eng
        Text: English
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      – TitleFull: Open-Set Hyperspectral Classification for Species-Level Mangrove Mapping Using Unmanned Aerial Vehicle Imagery: A Case Study at Jupiter Inlet Lighthouse Outstanding Natural Area, Florida, U.S.A.
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              Text: 2026
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              Y: 2026
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              Value: 42
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