Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/30018| Title: | Google Earth Engine Applications | Contributor(s): | Mutanga, Onisimo (author); Kumar, Lalit (author) |
Publication Date: | 2019-03-01 | Open Access: | Yes | DOI: | 10.3390/rs11050591 | Handle Link: | https://hdl.handle.net/1959.11/30018 | Abstract: | The Google Earth Engine (GEE) is a cloud computing platform designed to store and process huge data sets (at petabyte-scale) for analysis and ultimate decision making [1]. Following the free availability of Landsat series in 2008, Google archived all the data sets and linked them to the cloud computing engine for open source use. The current archive of data includes those from other satellites, as well as Geographic Information Systems (GIS) based vector data sets, social, demographic, weather, digital elevation models, and climate data layers. | Publication Type: | Journal Article | Source of Publication: | Remote Sensing, 11(5), p. 1-4 | Publisher: | MDPI AG | Place of Publication: | Switzerland | ISSN: | 2072-4292 | Fields of Research (FoR) 2008: | 090905 Photogrammetry and Remote Sensing | Fields of Research (FoR) 2020: | 401304 Photogrammetry and remote sensing | Socio-Economic Objective (SEO) 2008: | 960604 Environmental Management Systems | Socio-Economic Objective (SEO) 2020: | 189999 Other environmental management not elsewhere classified | HERDC Category Description: | C4 Letter of Note |
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| Appears in Collections: | Journal Article School of Environmental and Rural Science |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| openpublished/GoogleKumar2019JournalArticle.pdf | Published version | 171.07 kB | Adobe PDF Download Adobe | View/Open |
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