| Issue |
E3S Web Conf.
Volume 223, 2020
Regional Problems of Earth Remote Sensing (RPERS 2020)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 6 | |
| Section | Models and Methods of Remote Sensing Data Processing | |
| DOI | https://doi.org/10.1051/e3sconf/202022302006 | |
| Published online | 21 December 2020 | |
Building a model for predicting the water level in a river using remote sensing data from open sources
1 Siberian State University of Geosystems and Technologies, Department of Cartography and Geoinformatics, 630108 Plakhotnogo street 10, Novosibirsk, Russia
2 Peter the Great St. Petersburg Polytechnic University, Higher School of Theoretical Mechanics, 195251 Polytechnicheskaya Street 29, Saint Petersburg, Russia
* Corresponding author: alexeykw@mail.ru
The article discusses the possibility of predicting the water surface area of a river (and based on these values, the calculation of the water level) based on only open data of remote sensing. The area and depth of snow cover, the intensity of precipitation according to Landsat and Sentinel data and the monitoring indicators MODIS, Copernicus, REMSS are used as initial parameters. For the selected parameters, the degree of influence on the final forecast was assessed.
© The Authors, published by EDP Sciences, 2020
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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