Towards global-scale seagrass mapping and monitoring using Sentinel-2 on Google Earth Engine: The case study of the Aegean and Ionian Seas

Remote Sensing

Volumn 10, Issue 8, 2018, Pages

  Traganos, Dimosthenis ^a   Aggarwal, Bharat ^a   Poursanidis, Dimitris ^b   Topouzelis, Konstantinos ^c   Chrysoulakis, Nektarios ^b   Reinartz, Peter ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b INSTITUTE OF COMPUTER SCIENCE   (Greece)

^c UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

Aegean; Global scale; Google Earth Engine; Habitat mapping; Image composition; Ionian; Machine learning; Seagrass; Sentinel 2; Support vector machines

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLIMATE CHANGE; ENGINES; IMAGE PROCESSING; LEARNING SYSTEMS; MAPPING; PLANTS (BOTANY); SUPPORT VECTOR MACHINES; VECTOR SPACES;

AEGEAN; GLOBAL SCALE; GOOGLE EARTHS; HABITAT MAPPING; IMAGE COMPOSITION; IONIAN; SEAGRASSES; SENTINEL-2;

ECOSYSTEMS;

EID: 85051668046     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10081227     Document Type: Article

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