Using Google Earth Engine to detect land cover change: Singapore as a use case

European Journal of Remote Sensing

Volumn 51, Issue 1, 2018, Pages 486-500

  Sidhu, Nanki ^a   Pebesma, Edzer ^a   Câmara, Gilberto ^a,b  

^a UNIVERSITY OF MÜNSTER   (Germany)

^b INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

big data architecture; Google Earth Engine; land cover; time series analysis; urban areas

Indexed keywords

BIG DATA; CATCHMENTS; CONSERVATION; DATA HANDLING; ENGINES; LAND USE; RADIOMETERS; REMOTE SENSING; TIME SERIES ANALYSIS;

ANTHROPOGENIC FACTORS; DATA ARCHITECTURES; GOOGLE EARTHS; LAND COVER; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; REMOTE SENSING PLATFORMS; SPATIAL AND TEMPORAL ANALYSIS; URBAN AREAS;

LAND RECLAMATION;

DATA; INTERNET; LAND COVER; LAND RECLAMATION; LAND USE; LANDSAT; MODIS; RASTER; REMOTE SENSING; SATELLITE IMAGERY; TIME SERIES ANALYSIS; URBAN AREA; VECTOR;

SINGAPORE [SOUTHEAST ASIA];

EID: 85048092996     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.1080/22797254.2018.1451782     Document Type: Article

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