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

This paper investigates the web-based remote sensing platform, Google Earth Engine (GEE) and evaluates the platform's utility for performing raster and vector manipulations on Landsat, Moderate Resolution Imaging Spectroradiometer and GlobCover (2009) imagery. We assess its capacity to conduct space–time analysis over two subregions of Singapore, namely, Tuas and the Central Catchment Reserve (CCR), for Urban and Wetlands land classes. In its...