A low-cost drone based application for identifying and mapping of coastal fish nursery grounds

Estuarine, Coastal and Shelf Science

Volumn 171, Issue , 2016, Pages 85-98

  Ventura, Daniele ^a   Bruno, Michele ^a   Jona Lasinio, Giovanna ^a   Belluscio, Andrea ^a   Ardizzone, Giandomenico ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Aerial imagery; Central Tyrrhenian Sea; Drone; Giglio Island; Image classification; Mapping; Mediterranean Sea; Nursery

Indexed keywords

AERIAL PHOTOGRAPHY; ALGORITHM; COASTAL ZONE; IDENTIFICATION METHOD; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE PROCESSING; JUVENILE; MAPPING METHOD; NURSERY GROUND; REMOTE SENSING; THREE-DIMENSIONAL MODELING; UNMANNED VEHICLE;

GIGLIO; GROSSETO [TUSCANY]; ITALY; MEDITERRANEAN SEA; TUSCAN ARCHIPELAGO; TUSCANY; TYRRHENIAN SEA;

PISCES; SPARIDAE;

EID: 84956621586     PISSN: 02727714     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecss.2016.01.030     Document Type: Article

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