Title

Mapping Seagrass and Colonized Hard Bottom in Springs Coast, Florida using WorldView-2 Satellite Imagery

Document Type

Article

Publication Date

11-2016

Keywords

Seagrass, Remote sensingSeafloor mapping, Colonized hard bottom, WorldView-2, Submerged aquatic vegetation (SAV), Object based image analysis (OBIA), Image classification

Digital Object Identifier (DOI)

https://doi.org/10.1016/j.ecss.2016.08.019

Abstract

The offshore extent of seagrass habitat along the West Florida (USA) coast represents an important corridor for inshore-offshore migration of economically important fish and shellfish. Surviving at the fringe of light requirements, offshore seagrass beds are sensitive to changes in water clarity. Beyond and intermingled with the offshore seagrass areas are large swaths of colonized hard bottom. These offshore habitats of the West Florida coast have lacked mapping efforts needed for status and trends monitoring. The objective of this study was to propose an object-based classification method for mapping offshore habitats and to compare results to traditional photo-interpreted maps. Benthic maps were created from WorldView-2 satellite imageryusing an Object Based Image Analysis (OBIA) method and a visual photo-interpretation method. A logistic regression analysis identified depth and distance from shore as significant parameters for discriminating spectrally similar seagrass and colonized hard bottom features. Seagrass, colonized hard bottom and unconsolidated sediment (sand) were mapped with 78% overall accuracy using the OBIA method compared to 71% overall accuracy using the photo-interpretation method. This study suggests an alternative for mapping deeper, offshore habitats capable of producing higher thematic and spatial resolution maps compared to those created with the traditional photo-interpretation method.

Was this content written or created while at USF?

Yes

Citation / Publisher Attribution

Estuarine, Coastal and Shelf Science, v. 181, p. 83-92

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