The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-685-2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-685-2020
21 Aug 2020
 | 21 Aug 2020

EELGRASS MAPPING IN ATLANTIC CANADA USING WORLDVIEW-2 IMAGERY

D. Forsey, B. Leblon, A. LaRocque, M. Skinner, and A. Douglas

Keywords: Eelgrass mapping, Atlantic Canada, WorldView-2, Maximum Likelihood, Random Forests

Abstract. Eelgrass (Zostera marina L.) is a marine angiosperm plant that grows throughout coastal areas in Atlantic Canada. Eelgrass meadows provide numerous ecosystem services, and while they have been acknowledged as important habitats, their location, extent, and health in Atlantic Canada are poorly understood. This study examined the effectiveness of WorldView-2 optical satellite imagery to map eelgrass presence in Tabusintac Bay, New Brunswick (Canada), an estuarine lagoon with extensive eelgrass coverage. The imagery was classified using two supervised classifiers: the parametric Maximum Likelihood Classifier (MLC) and the non-parametric Random Forests (RF) classifier. While Random Forests was expected to produce higher classification accuracies, it was shown not to be much better than MLC. The overall validation accuracy was 97.6% with RF and 99.8% with MLC.