| Инд. авторы: | Klimova E.G. |
| Заглавие: | Methods of Spatial Data Processing Based on Bayesian Approach for Environmental Monitoring |
| Библ. ссылка: | Klimova E.G. Methods of Spatial Data Processing Based on Bayesian Approach for Environmental Monitoring // CEUR Workshop Proceedings. - 2020. - Vol.2534. - P.118-123. - ISSN 1613-0073. - http://ceur-ws.org/Vol-2534/20_short_paper.pdf |
| Внешние системы: | РИНЦ: 43240835; SCOPUS: 2-s2.0-85078527006; |
| Реферат: | eng: One of the important tasks of monitoring of environment is the problem of obtaining the values of environmental parameters on a regular grid. At present, such problems are solved using all available observational data as well as the mathematical model of the process of interest to us. The mathematical formulation of the problem is included in the set of tasks of the so-called inverse modelling. If the probabilistic formulation of the problem is considered, the Bayesian approach is applied. This approach is used in popular algorithms, such as the ensemble Kalman filter, the ensemble Kalman smoothing, the particle method. The report provides a brief overview of modern methods, as well as approaches to their practical implementation. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
| Ключевые слова: | Ensemble Kalman filter; Inverse problems; Spatial data processing; Satellite data; Probabilistic formulation; Mathematical formulation; Environmental parameter; Data assimilation; Ensemble Kalman Filter; Data assimilation; Monitoring; Kalman filters; Data handling; Bayesian networks; Satellite data; Environmental Monitoring; |
| Издано: | 2020 |
| Физ. характеристика: | с.118-123 |
| Ссылка: | http://ceur-ws.org/Vol-2534/20_short_paper.pdf |
| Конференция: | Название: Всероссийская конференция с международным участием «Обработка пространственных данных в задачах мониторинга природных и антропогенных процессов» Аббревиатура: SDM-2019 Город: Бердск, Новосибирская область Страна: Россия Даты проведения: 2019-08-26 - 2019-08-30 Ссылка: http://conf.nsc.ru/SDM-2019 |