Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 13, Issue , 2020, Pages 5326-5350

  Amani, Meisam ^a   Ghorbanian, Arsalan ^b   Ahmadi, Seyed Ali ^b   Kakooei, Mohammad ^c   Moghimi, Armin ^b   Mirmazloumi, S Mohammad ^d   Moghaddam, Sayyed Hamed Alizadeh ^b   Mahdavi, Sahel ^a   Ghahremanloo, Masoud ^e   Parsian, Saeid ^f   Wu, Qiusheng ^g   Brisco, Brian ^h  

^a Wood Environment and Infrastructure Solutions   (Canada)

^b K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^c BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

^d CENTRE TECNOLÒGIC DE TELECOMUNICACIONS DE CATALUNYA CTTC   (Spain)

^e University of Houston   (United States)

^f TAFRESH UNIVERSITY   (Iran)

^g UNIVERSITY OF TENNESSEE   (United States)

^h CANADA CENTRE FOR REMOTE SENSING   (Canada)

Author keywords

Big data; cloud computing; Google Earth Engine (GEE); remote sensing (RS)

Indexed keywords

BIG DATA; CLOUD COMPUTING; DATA HANDLING; DECISION TREES; DISASTERS; ENGINES; IMAGE PROCESSING; LEARNING ALGORITHMS; SUPERVISED LEARNING;

BIG DATA APPLICATIONS; CLIMATE ANALYSIS; CLOUD COMPUTING PLATFORMS; DESKTOP COMPUTING; HIGH POTENTIAL; JOURNAL ARTICLES; NATURAL DISASTERS; SUPERVISED MACHINE LEARNING;

REMOTE SENSING;

ALGORITHM; DATA SET; DATABASE; DIGITAL MAP; ENVIRONMENTAL MONITORING; LANDSAT; REMOTE SENSING; SENTINEL; SOFTWARE; SUPERVISED LEARNING;

EID: 85092080246     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2020.3021052     Document Type: Article

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