scholarly journals Framework of cloud web services for processing remote sensing data

2019 ◽  
Vol 75 ◽  
pp. 03001
Author(s):  
Alexey Buchnev ◽  
Pavel Kim ◽  
Valery Pyatkin ◽  
Fedor Pyatkin ◽  
Evgeny Rusin

We consider a distributed network of cloud web services for processing satellite data, which provides data processing facilities for Earth remote sensing within SaaS model. In fact, this is a set of web services that implement the functional modules of the PlanetaMonitoring remote sensing data processing system.

2013 ◽  
Vol 5 (5) ◽  
pp. 2436-2450 ◽  
Author(s):  
Xiang Zhao ◽  
Shunlin Liang ◽  
Suhong Liu ◽  
Wenping Yuan ◽  
Zhiqiang Xiao ◽  
...  

2020 ◽  
Vol 5 ◽  
pp. 141-150
Author(s):  
V. M. Safonov ◽  
◽  
D.A. Pavlov ◽  
A.N. Pavlov

Purpose: To fi nd an approach to substantiation of the rational architecture of information interaction of the Earth Remote Sensing Data Processing System. Materials and methods: When conducting research in the fi eld of distributed remote sensing data processing as part of the design of a remote sensing data processing system, it seems necessary to create some digital prototype of it. At the fi rst stage of creating such a “digital double”, the architecture of the information interaction of upper-level elements (services, modules, etc.) should be justifi ed in order to ensure effective and consistent application of the system software components. Results: The article proposes an approach to justifying and choosing the architecture of a software system, which is based on production models of decision maker preferences for describing simple and complex reference situations of the survey, processing of knowledge data using methods of the theory of fuzzy measures and theory of experimental design and checking statements Decision maker for consistency. Conclusions: The proposed approach will signifi cantly increase the degree of formalization and validity of the selection process, which as a result provides the opportunity to increase its automation level.


2021 ◽  
Vol 7 (1) ◽  
pp. 105-121
Author(s):  
A. Scatkov ◽  
K. Krotov

The article analyzes the types of remote sensing data and methods of their processing, which is implemented in order to identify negative natural phenomena and man-made impacts on the environment on the earth’s surface, their characteristics and distribution conditions. The substantiation of the pipelining remote sensing data processing necessity in Web-oriented services environmental monitoring services is carried out. The article substantiates the architectural organization of Web-oriented services for environmental monitoring services and the functional scheme of the data acquisition and processing system. Based on the analysis of the thematic and POST-thematic data processing methods, the organization of a multistage (pipeline) system for the implementing actions with them that provide versatile environmental monitoring is justified.


2021 ◽  
Vol 4 (1) ◽  
pp. 66-71
Author(s):  
Aleksey A. Buchnev ◽  
Valery P. Pyatkin ◽  
Evgeny V. Rusin

The organization of computations in cloud Web services for satellite data processing is considered. Computing component of almost every service is a batch version of the corresponding technology of the PlanetaMonitoring software for processing remote sensing data. The exceptions are the technologies that require interactive communication with user, i.e., supervised classification of remote sensing data and movement tracking of natural environments by the coordinates of identifiable objects, each of which consists of two parts, i.e., an interactive Windows application running on the user's computer and the part hidden in the cloud.


2018 ◽  
Vol 42 (5) ◽  
pp. 864-876 ◽  
Author(s):  
A.A. Varlamova ◽  
◽  
A.Y. Denisova ◽  
V.V. Sergeev ◽  
◽  
...  

Author(s):  
E. Kazakov ◽  
A. Terekhov ◽  
E. Kapralov ◽  
E. Panidi

Server-side processing is principal for most of the current Web-based geospatial data processing tools. However, in some cases the client-side geoprocessing may be more convenient and acceptable. This study is dedicated to the development of methodology and techniques of Web services elaboration, which allow the client-side geoprocessing also. The practical objectives of the research are focused on the remote sensing data processing, which are one of the most resource-intensive data types. <br><br> The idea underlying the study is to propose such geoprocessing Web service schema that will be compatible with the current serveroriented Open Geospatial Consortium standard (OGC WPS standard), and additionally will allow to run the processing on the client, transmitting processing tool (executable code) over the network instead of the data. At the same time, the unity of executable code must be preserved, and the transmitted code should be the same to that is used for server-side processing. This unity should provide unconditional identity of the processing results that performed using of any schema. The appropriate services are pointed by the authors as a Hybrid Geoprocessing Web Services (HGWSs). <br><br> The common approaches to architecture and structure of the HGWSs are proposed at the current stage as like as a number of service prototypes. For the testing of selected approaches, the geoportal prototype was implemented, which provides access to created HGWS. Further works are conducted on the formalization of platform independent HGWSs implementation techniques, and on the approaches to conceptualization of theirs safe use and chaining possibilities. <br><br> The proposed schema of HGWSs implementation could become one of the possible solutions for the distributed systems, assuming that the processing servers could play the role of the clients connecting to the service supply server. <br><br> The study was partially supported by Russian Foundation for Basic Research (RFBR), research project No. 13-05-12079 ofi_m.


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