Identifying soft sediments at sea using GIS-modelled predictor variables and Sediment Profile Image (SPI) measured response variables

Estuarine, Coastal and Shelf Science

Volumn 79, Issue 4, 2008, Pages 631-636

  Bekkby, T ^a   Nilsson, H C ^a   Olsgard, F ^a,b   Rygg, B ^a   Isachsen, P E ^c   Isaeus M ^d  

^a NORWEGIAN INSTITUTE FOR WATER RESEARCH   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

^c NORWEGIAN METEOROLOGICAL INSTITUTE   (Norway)

^d AquaBiota Water Research   (Sweden)

Author keywords

Akaike information criterion; Norway; penetration depth; sediment profile image camera; Skagerrak; spatial modelling

Indexed keywords

COMMUNITY COMPOSITION; DIGITAL MAP; GIS; IDENTIFICATION METHOD; IMAGERY; MODELING; POLLUTION MONITORING; PREDICTION; SAMPLING; SEAFLOOR; SOFT-BOTTOM ENVIRONMENT; SPECIES DIVERSITY; TOPOGRAPHIC MAPPING;

ATLANTIC OCEAN; NORTH SEA; SKAGERRAK;

EID: 50449105533     PISSN: 02727714     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecss.2008.06.005     Document Type: Article

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