| Issue |
E3S Web Conf.
Volume 333, 2021
Regional Problems of Earth Remote Sensing (RPERS 2021)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 6 | |
| Section | Models and Methods of Remote Sensing Data Processing | |
| DOI | https://doi.org/10.1051/e3sconf/202133301013 | |
| Published online | 21 December 2021 | |
Using of Google Earth Engine in monitoring systems
1 FRC KSC SB RAS, Krasnoyarsk, Russia
2 SFU, Krasnoyarsk, Russia
* Corresponding author: elfed@ksc.krasn.ru
Google Earth Engine (GEE) cloud service is a powerful tool for environmental research. An example of using GEE to solve a typical research problem is shown. The following data extraction and analysis operations were used: filtering data from sets, constructing functions, building graphs, selecting data using vector and raster masks. GEE interface in the form of JavaScript code was used. Correlation between surface runoff and precipitation and snow depth in areas with forest dieback was analysed for Krasnoyarsk region in Russia (r = 0.30 for precipitation and r = 0.57 for snow depth).
© The Authors, published by EDP Sciences, 2021
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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