Architecture and Examples of Implementing the Informational Platform for Creation and Provision of Thematic Services Using Earth Remote Sensing Data

Zelentsov, V. A.; Потрясаев, Семен Алексеевич

doi:10.15622/sp.55.4

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…Приоритетность для отдельных заявок в (17) при ожидании обслуживания может меняться из-за изменения режима функционирования узлов предприятия [27], что может приводить к изменению величины i w и необходимости перестроения расписания. В случае возникновения запаздывания обслуживания заявок узел B2B-предприятия может: отказаться от их обслуживания; обслужить с учетом штрафов (17); дополнительно привлечь для обслуживания ресурсы других узлов.…”

Section: ов карсаев ии шуклин сп ющенко самоорганизующееся B2unclassified

Self-Organizing B2B Enterprise of Distributed Photogrammetric Processing of Terrain Images in ETRIS

Karsaev¹,

Shuklin²,

Yushchenko³

2020

Тр. СПИИРАН

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An approach to the dynamic formation (adjustment) of schedules for distributed photogrammetric image processing in a network of ground centers included in the United geographically distributed information system for receiving and processing Earth remote sensing data from space is considered. Having the fullest satisfaction of requirements of consumers to the satellite images of necessary areas, the approach provides the formation of self-organizing B2B enterprises in the specified network providing information, software and hardware resources of the ground-based facilities of various departmental and other accessories for photogrammetric processing of any received images of the area from the the United geographically distributed information system. It is shown, that a search in B2B enterprise nodes and borrowing the required resources will allow ground centers to flexibly scale physical and virtual means of photogrammetric processing of Earth remote sensing data, quickly form their local structural and functional organizations depending on the current properties of the consumer requests flow for receiving Earth remote sensing data in the United geographically distributed information system, characteristics of the flow of terrain survey materials from orbital monitoring tools, and also take into account the visual and measuring properties of images of the area subject to photogrammetric processing. A method for truncating the set of potential performers of the application in accordance with the existing semantic and other restrictions on the composition of the desired set of performers is proposed. Also mechanisms to encourage ground centers to provide idle resources to B2B enterprise nodes are proposed. They are based on the possibility of receiving monetary or other remuneration from a ground center for participating in distributed application servicing. The development of a well-known model of a self-organizing B2B enterprise creates conditions for a more efficient organization of servicing the flow of applications in the United geographically distributed information system by attracting unused software, information and hardware resources of ground centers of various departmental affiliations.

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Section: ов карсаев ии шуклин сп ющенко самоорганизующееся B2unclassified

Self-Organizing B2B Enterprise of Distributed Photogrammetric Processing of Terrain Images in ETRIS

Karsaev¹,

Shuklin²,

Yushchenko³

2020

Тр. СПИИРАН

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“…1. The system was built with the use of a service-oriented architecture (SOA) (Zelentsov V.A., Potryasaev S.A., 2017;Paik H. et al, 2017) that provides flexible interaction between software modules, implementing subject area models (in this researchhydrodynamic and hydrological models); modules of heterogeneous data collecting and processing (including data from gauging stations and remote sensing data); control modules, etc. In this case, all system components are implemented as web services and can be geographically distributed and localized in various organizations, cities and countries.…”

Section: General Structure Of the Integrated Systemmentioning

confidence: 99%

“…Today information technologies for integrating heterogeneous information resources are increasingly based on the use of open source software, including geographic information systems (GIS) that are an integral component of flood forecasting systems (CARTO, NextGIS, MapBox, Urbica). Modern technologies in this field make it possible to create simplified means of user interaction with complex systems (Zelentsov V.A., Potryasaev S.A., 2017). However to date there are not enough examples of using information technologies and software to fully automate the entire cycle of flood modelingfrom gathering and processing ground and aerospace data to publishing the results and notifying interested persons and organizations.…”

Section: Introductionmentioning

confidence: 99%

Integrated Use of Gis, Remote Sensing Data and a Set of Models for Operational Flood Forecasting

Zelentsov

Potryasaev

Pimanov

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The research is aimed at the development and testing of the system for operational river flood forecasting. The system is based on the use of a complex of hydrological and hydrodynamic models, as well as in situ and satellite data integrated processing, and implemented on the basis of a service-oriented architecture. A distinctive feature of the system is the complete automation of the entire simulation cycle - from loading initial data to interpreting results, visualizing and alerting interested parties. The theoretical basis for ensuring the coordinated functioning of all system components is the qualimetry of models and polymodel complexes. The practical implementation is carried out using open codes, free software and GIS platform «RegionView». All the complexity associated with the use of heterogeneous geographically distributed information resources is hidden from the user. This allows the system to be used not only by specialists in GIS, IT or relevant subject area, but also by other users interested in the results of flood monitoring and forecasting - emergency services, local authorities, commercial organizations and citizens. The described technologies and the system of operational flood forecasting were tested in the Russian Federation on the Northern Dvina River, from the city of Velikiy Ustyug to the city of Kotlas in 2014-2019. Given test results prove that the application of such an approach ensures full implementation of the required functionality of operational flood forecasting systems, the fulfilment of the basic requirements for such systems and also indicate the possibility of a widespread use of such systems authorities and emergency services.

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Intelligent Technologies and Methods of Tundra Vegetation Properties Detection Using Satellite Multispectral Imagery

Mochalov

Grigorieva

Zelentsov

et al. 2019

Advances in Intelligent Systems and Computing

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Architecture and Examples of Implementing the Informational Platform for Creation and Provision of Thematic Services Using Earth Remote Sensing Data

Cited by 9 publications

References 5 publications

Self-Organizing B2B Enterprise of Distributed Photogrammetric Processing of Terrain Images in ETRIS

Self-Organizing B2B Enterprise of Distributed Photogrammetric Processing of Terrain Images in ETRIS

Integrated Use of Gis, Remote Sensing Data and a Set of Models for Operational Flood Forecasting

Intelligent Technologies and Methods of Tundra Vegetation Properties Detection Using Satellite Multispectral Imagery

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