@Article{SidhuPebeCama:2018:SiUsCa,
author = "Sidhu, Nanki and Pebesma, Edzer and Camara, Gilberto",
affiliation = "{Westfaelische-Wilhelms Universitaet} and {Westfaelische-Wilhelms
Universitaet} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Using Google Earth engine to detect land cover change: Singapore
as a use case",
journal = "European Journal of Remote Sensing",
year = "2018",
volume = "51",
number = "1",
pages = "486--500",
keywords = "Google Earth Engine, big-data architecture, land cover, urban
areas, time series analysis.",
abstract = "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 current
state, GEE has proven to be a powerful tool by providing access to
a wide variety of imagery in one consolidated system. Furthermore,
it possesses the ability to perform spatial aggregations over
global-scale data at a high computational speed though; supporting
both spatial and temporal analysis is not an obvious task for the
platform. We examine the challenges that GEE faces, also common to
most parallel-processing, big-data architectures. The ongoing
refinement of this system makes it promising for big-data analysts
from diverse user groups. As a use case for exploring GEE, we
analyze Singapore's land use and cover. We observe the change in
Singapore's landmass through land reclamation. Also, within the
region of the CCR, a large protected area, we find forest cover is
not affected by anthropogenic factors, but instead is driven by
the monsoon cycles affecting Southeast Asia.",
doi = "10.1080/22797254.2018.1451782",
url = "http://dx.doi.org/10.1080/22797254.2018.1451782",
issn = "2279-7254",
language = "en",
targetfile = "sidhu_using.pdf",
urlaccessdate = "27 abr. 2024"
}