Author:
Eltayeb Elmahal Anwarelsadat,Mahmoud Ibrahim Musa Mohammed
Abstract
Google Earth Engine (GEE) is an open-source spatial cloud computing platform that can be easily accessed through its native application programming interfaces (APIs), which are JavaScript and Python. In this chapter, we will introduce the R package, a non-native GEE API, as a different way to interface with and utilize the extensive statistical and visualization capabilities of the R package through the RGEE library. In addition to the fundamental concepts of spatial cloud computing, the reader will be exposed to the practical side of satellite image processing techniques, which will include, digital image processing and visualizations.
Reference24 articles.
1. Liang S, Li X, Wang J. Advanced Remote Sensing: Terrestrial Information Extraction and Applications. Cambridge, MA, USA: Academic Press; 2012
2. Longley P. Geographic Information Systems and Science. 2nd ed. Hoboken, NJ, USA: John Wiley & Sons; 2005
3. Fotheringham AS, Rogerson PA. The SAGE Handbook of Spatial Analysis. London, UK: SAGE Publications Ltd.; 2008
4. Martin S. An Introduction to Ocean Remote Sensing. Cambridge, U.K: Cambridge University Press; 2004
5. Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R. Google earth engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment Journal. 2017;:18-27. ISSN: 0034-42572017
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