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Benthic Habitat Mapping: eCognition Rule Set

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https://ir.library.oregonstate.edu/concern/datasets/v692tc368

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Abstract
  • This publication consists of a rule set for benthic habitat classification implemented in eCognition (Trimble Navigation Limited). The details of the procedure are described in Parrish et al., 2016: http://www.jcronline.org/doi/abs/10.2112/SI76-017. The input to the classification consists of high-resolution true color orthophotos, seafloor DEMs from topobathymetric lidar, and gridded lidar reflectance and pulse shape deviation layers. The five output classes are: 1) low elevation (refers to areas deeper than the laser extinction depth), 2) sand, 3) dense eelgrass, 4) sparse eelgrass, and 5) mixed macroalgae and sand.
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Citation
  • O’Neil-Dunne, Jarlath P.M.; Parrish, Christopher E.; Dijkstra, Jennifer A. (2018): Benthic Habitat Mapping: eCognition Rule Set. Oregon State University. Dataset. https://doi.org/10.7267/N9GF0RP1
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Related Items
  • Parrish, C.E., O’Neil-Dunne, Jarlath P.M., and Dijkstra, Jennifer A., 2016. Benthic Habitat Mapping: eCognition Rule Set
Hydrologic Unit Code
  • 02040301
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Miniatura Título Data de carga Acesso Ações
file details readme.txt 2018-01-03 Público Baixar
file details Barneget_Bay_8.dcp 2018-01-03 Público Baixar