| Issue |
E3S Web Conf.
Volume 591, 2024
International Conference on Renewable Energy Resources and Applications (ICRERA-2024)
|
|
|---|---|---|
| Article Number | 09011 | |
| Number of page(s) | 7 | |
| Section | Material Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202459109011 | |
| Published online | 14 November 2024 | |
A Review On Google Earth Engine: An Open Access Cloud Analysis Platform For Planetary Scale Satellite Data
1 Research Scholar, Professor
1,2 Dept of Electronics and Communications and Engineering, SVUCE, Sri Venkateswara University, Tirupati, Andhra Pradesh, India.
* srohini512@gmail.com
** snreddy@yahoo.com
The open source cloud computing platform Google Earth Engine (GEE) is utilized in remote sensing. GEE makes use of a significant collection of geospatial data sets and satellite pictures from different satellites, including Landsat, Sentinel, Modis, and others. This platform makes it possible to process massive amounts of data and continuously monitor the world. GEE’s extensive computational capabilities allow it to process data over extended periods of time, making it useful for a variety of applications including monitoring changes to the earth’s surface, changes in forest cover, meteorological analysis, and urban planning. Since its introduction by Google in 2010, this platform has been leveraged for a number of remote sensing applications. This article concentrates on several GEE prospects, including datasets that are available, built-in functions and algorithms, benefits and drawbacks, and applications. There are many journals published, and there have been more in recent years.
Key words: Google Earth Engine (GEE) / Remote sensing / cloud based system / GEE Applications
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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