WPS-based technology for client-side remote sensing data processing

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. 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). 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. 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. The study was partially supported by Russian Foundation for Basic Research (RFBR), research project No. 13-05-12079 ofi_m.

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Framework of cloud web services for processing remote sensing data

E3S Web of Conferences ◽

10.1051/e3sconf/20197503001 ◽

2019 ◽

Vol 75 ◽

pp. 03001

Author(s):

Alexey Buchnev ◽

Pavel Kim ◽

Valery Pyatkin ◽

Fedor Pyatkin ◽

Evgeny Rusin

Keyword(s):

Remote Sensing ◽

Web Services ◽

Data Processing ◽

Processing System ◽

Remote Sensing Data ◽

Functional Modules ◽

Distributed Network ◽

Data Processing System ◽

Earth Remote Sensing ◽

Sensing Data

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.

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COMPUTING COMPONENTS OF CLOUD WEB-SERVICES FOR REMOTE SENSING DATA PROCESSING

Interexpo GEO-Siberia ◽

10.33764/2618-981x-2021-4-1-66-71 ◽

2021 ◽

Vol 4 (1) ◽

pp. 66-71

Author(s):

Aleksey A. Buchnev ◽

Valery P. Pyatkin ◽

Evgeny V. Rusin

Keyword(s):

Remote Sensing ◽

Web Services ◽

Data Processing ◽

Supervised Classification ◽

Remote Sensing Data ◽

Natural Environments ◽

Interactive Communication ◽

Sensing Data ◽

Movement Tracking

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.

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