scholarly journals Complex for reception and real time processing of remote sensing data

2019 ◽  
Vol 75 ◽  
pp. 03003 ◽  
Author(s):  
Oleg Yakubailik ◽  
Victor Romas'ko ◽  
Evgeny Pavlichenko

The basic problems and trends in the development of modern systems for the reception, storage and real-time processing of satellite data are considered. Abrupt increase in the capability of satellite systems, significant increase in the amount of satellite information and its availability, the development of data processing and presentation technologies, and the use of web technologies are discussed. Data sources of modern remote sensing systems of the Earth and the features of their practical use are considered. It is concluded that the most effective way to obtain real-time information from meteorological satellites are satellite stations that receive data in the X-band at a frequency of 8 GHz. The performance characteristics and capabilities of the equipment of the new satellite receiving complex at Krasnoyarsk Science Center are given. Use of up-to-date computer equipment (high-performance servers and storage systems, local area network with a bandwidth of 10 Gbit/s) and logical separation into the stages of data conversion (data reception, primary and thematic processing) provide the construction of a modern scalable data-processing system for remote sensing data. The paper presents the results of the work on creation of specialized software for information and analytical systems for real-time satellite monitoring.

Author(s):  
Xihuang Sun ◽  
Peng Liu ◽  
Yan Ma ◽  
Dingsheng Liu ◽  
Yechao Sun

The explosion of data and the increase in processing complexity, together with the increasing needs of real-time processing and concurrent data access, make remote sensing data streaming processing a wide research area to study. This paper introduces current situation of remote sensing data processing and how timely remote sensing data processing can help build future smart cities. Current research on remote sensing data streaming is also introduced where the three typical and open-source stream processing frameworks are introduced. This paper also discusses some design concerns for remote sensing data streaming processing systems, such as data model and transmission, system model, programming interfaces, storage management, availability, etc. Finally, this research specifically addresses some of the challenges of remote sensing data streaming processing, such as scalability, fault tolerance, consistency, load balancing and throughput.


2019 ◽  
pp. 1711-1726 ◽  
Author(s):  
Xihuang Sun ◽  
Peng Liu ◽  
Yan Ma ◽  
Dingsheng Liu ◽  
Yechao Sun

The explosion of data and the increase in processing complexity, together with the increasing needs of real-time processing and concurrent data access, make remote sensing data streaming processing a wide research area to study. This paper introduces current situation of remote sensing data processing and how timely remote sensing data processing can help build future smart cities. Current research on remote sensing data streaming is also introduced where the three typical and open-source stream processing frameworks are introduced. This paper also discusses some design concerns for remote sensing data streaming processing systems, such as data model and transmission, system model, programming interfaces, storage management, availability, etc. Finally, this research specifically addresses some of the challenges of remote sensing data streaming processing, such as scalability, fault tolerance, consistency, load balancing and throughput.


2019 ◽  
Vol 943 (1) ◽  
pp. 110-118
Author(s):  
A.A. Kadochnikov

Today, remote sensing data are an important source of operational information about the environment for thematic GIS, this data can be used for the development of water, forestry and agriculture management, in the ecology and nature management, with territorial planning, etc. To solve the problem of ensuring the effective use of the space activities’results in the Krasnoyarsk Territory a United Regional Remote Sensing Center was created. On the basis of the Center, a new satellite receiving complex of FRC KSC SB RAS was put into operation. It is currently receiving satellite data from TERRA, AQUA, Suomi NPP and FENG-YUN satellites. Within the framework in cooperation with the Siberian Regional Center for Remote Sensing the Earth, an archive of satellite data from domestic Resource-P and Meteor-M2 satellites was created. The work considers some features of softwaredevelopment and technological support tools for loading, processing and publishing remote sensing data. The product is created in the service-oriented paradigm based on geoportal technologies and interactive web-cartography. The focus in this article is paid to the peculiarities of implementing the software components of the web GIS, the efficient processing and presentation of geospatial data.


2018 ◽  
Vol 78 (4) ◽  
pp. 4311-4326 ◽  
Author(s):  
Weijing Song ◽  
Lizhe Wang ◽  
Peng Liu ◽  
Kim-Kwang Raymond Choo

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