Complex Objects Remote Sensing Forest Monitoring and Modeling

Sokolov, Boris; Zelentsov, V. A.; Brovkina, Olga; Mochalov, Viktor; Potryasaev, Semyon A.

doi:10.1007/978-3-319-06740-7_37

Cited by 7 publications

(1 citation statement)

References 2 publications

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“…Usually, five or six main types of underlying surfaces (beds, plow lands, meadows, forests, and urban development) are singled out. Automated data processing methods and technologies are being developed and implemented successfully to decode these surface types [17,18].…”

Section: Application Of Remote Sensing Datamentioning

confidence: 99%

Creation of Intelligent Information Flood Forecasting Systems Based on Service Oriented Architecture

Zelentsov

Potryasaev

Pimanov

et al. 2016

Automation Control Theory Perspectives in Intelligent Systems

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In this paper a new approach to the creation of short-term forecasting systems of river flooding is being further developed. It provides highly accurate forecasting results due to operative obtaining and integrated processing of the remote sensing and ground-based water flow data in real time. Forecasting of flood areas and depths is performed on a time interval of 12-48 h to be able to perform the necessary steps to alert and evacuate the population. Forecast results are available as web services. The proposed system extends the traditional separate methods based on satellite monitoring or modeling of a river's physical processes, by using an interdisciplinary approach, integration of different models and technologies, and through intelligent choice of the most suitable models for a flood forecasting.

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Section: Application Of Remote Sensing Datamentioning

confidence: 99%