Recognition of “flowering” processes on the base of remote sensing data in shallow water ponds on the example of the Azov Sea
Open Access
- 29 June 2020
- journal article
- research article
- Published by EDP Sciences in E3S Web of Conferences
- Vol. 175, 12013
- https://doi.org/10.1051/e3sconf/202017512013
Abstract
This work considers to the processes of «bloom» phytoplankton processes that cause hypoxic phenomena in shallow waters the example of the Sea of Azov. For the accumulation of information, multichannel satellite images of remote sensing are taken as a basis. In the process, the task of programmatically highlighting the contours of the areas of «bloom» is implemented.This publication has 5 references indexed in Scilit:
- Adaptive modified alternating-triangular methodCOMPUTATIONAL MATHEMATICS AND INFORMATION TECHNOLOGIES, 2018
- Efficient Face Detection on Epiphany Multicore ProcessorCOMPUTATIONAL MATHEMATICS AND INFORMATION TECHNOLOGIES, 2017
- Optimal control of sustainable development in the biological rehabilitation of the Azov SeaMathematical Models and Computer Simulations, 2017
- Numerical modeling of ecologic situation of the Azov Sea with using schemes of increased order of accuracy on multiprocessor computer systemКомпьютерные исследования и моделирование, 2016
- Mathematical modeling of sediment transport in the coastal zone of shallow reservoirsMathematical Models and Computer Simulations, 2014