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Cloud computing in spatial data processing for the Integrated Geographically Distributed Information System of Earth Remote Sensing (IGDIS ERS) Open Joint-Stock.

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Presentation on theme: "Cloud computing in spatial data processing for the Integrated Geographically Distributed Information System of Earth Remote Sensing (IGDIS ERS) Open Joint-Stock."— Presentation transcript:

1 Cloud computing in spatial data processing for the Integrated Geographically Distributed Information System of Earth Remote Sensing (IGDIS ERS) Open Joint-Stock Company «Research Institute of Precision Instruments» (OJSC RI PI)

2 Outline 1. The state of IGDIS ERS for The use of ERS data for scientific and applied problems solving in industry, agriculture and environmental monitoring 3. IGDIS ERS enhancement in the direction of presented problems solving 4. Plan to achieve the goals

3 Purpose Integration ERS information resources into a unified geo-information space ERS data providing for end users aim Tasks Orbit group of ERS satellites application planning IGDIS ERS ground-based infrastructure application planning Information reception and processing from Russian and foreign ERS satellites Classification and storage of ERS products ERS products unified cataloging Access to IGDIS ERS information resources via geoportals and web-services IGDIS ERS

4 Planning and management subsystem The subsystem of reception, recording and processing of ERS data Communication subsystem The subsystem of cataloging, storage and distribution of ERS data IGDIS ERS functional structure

5 Major centers in all geographical regions equipping with unified means for reception and processing data from Russian and foreign ERS satellites Receiving stations acquisition and placement optimization according to the characteristics of the flow of information and performance of ERS satellites Unified geographically distributed ERS data bank creation New information technologies of ERS data providing introduction IGDIS ERS integration with informational systems of federal, departmental and regional levels Information and linguistic support improving in the field of ERS The main directions of IGDIS ERS creation ERS products unified catalogue creation

6 IGDIS ERS

7 Ground infrastructure capabilities for reception, processing, storage and distribution of ERS data

8 ROSGIDROMET The system for working with the satellite data NIC "Planeta" Information system of Russian Agricultural Census monitoring Dynamic catalogue of NTs OMZ data ROSLESHOZ Information system of remote forests monitoring Information System for remote monitoring of Kamchatka and Kuril Islands active volcanoes THE UNIFIED STATE SYSTEM OF INFORMATION ON THE GLOBAL OCEAN SPACE SERVICES CENTERS VEGA Satellite Service analysis of vegetation Sea To Sea Oceans Satellite monitoring service VEGA-Lesopatolog The satellite monitoring system of forest health Informational systems that using web-services of Geoportal Roscosmos GEOPORTAL ROSCOSMOS

9 ERS data and fields of their applications

10 Agriculture resources accounting Precision agriculture Evaluation of germination Evaluation of ripeness Yield forecasting Harvest monitoring ERS data in agriculture

11 Network communication tasks solving Construction projects status analysis Geology and geophysics tasks solving, prospecting for resources Selection of prospecting works directions and challenging areas Repairing works planning Territory and assets management Environmental control ERS data in oil and gas industry

12 Main advantages Operability Large scale Relatively low cost Natural and anthropogenic disasters monitoring Pollution sources identification and monitoring Automatic control of area ecological state Analysis of building effect on natural landscapes ERS data and environmental monitoring

13 IGDIS ERS enhancement in the direction of presented problems solving Providing wide range of ERS informational products Enhancement of existing infrastructure for ERS data distribution (web-services, geoportals, etc.) Enhancement of information reception from ERS satellites Processing capabilities enhancement

14 Plan to achieve the goals Step 1 Creating Cloud Computing Data Processing Centers (DPC CC) in IGDIS ERS centers Step 2 Placing manufacturing process of IGDIS ERS in created cloud infrastructure Step 3 Creating conditions for placement in cloud infrastructure technologies for creation different types of ERS products Step 4 Providing access interfaces to IGDIS ERS (geoportals and web-services)

15 Step 1. Creating Cloud Computing Data Processing Centers (DPC CC) in IGDIS ERS centers Advantages Flexible scaling Efficient resources reallocation Possibility of fast deployment and configuring systems in the cloud Expected results Reducing the time of ERS products creating Improving the efficiency of ERS products provision Cutting costs of IT infrastructure Reducing ERS products costs

16 Step 2. Placing manufacturing process of IGDIS ERS in created cloud infrastructure data storage geoportals processing Flexible resources reallocation and efficient scaling depend on: processing requirements; geoportals and web-services loads; amount of data; etc. web-services Cloud Computing Data Processing Center (DPC CC) of IGDIS ESR

17 Step 2. Development of the processing tools for automatic ERS products creation within the bounds of IGDIS ERS Product type 1Geometrically corrected images 2Geometrically corrected images in natural colors 3Seamless mosaic of geometrically corrected images (from one type satellites) 4Spectral vegetation indices (NDVI, SAVI, RVI, etc.) 5Burned-out forests map 6Seat of fire map 7Oceans and seas map 8Forests map

18 Step 2. ERS data processing requests execution Automatically by specified schedule On the users requests Requests parameters spatial-temporal parameters input data products type products specific parameters Processing requests processing…

19 Limiting factors of wide using technologies for various types of ERS products creation Insufficient provision of computational resources Insufficient provision of input ERS data Lack of unified access tools ?

20 Data storage Step 3. Placing of ERS products creation technologies in cloud infrastructure of IGDIS ERS data processing centers Processing requests Processing tool Placing advantages Platform independency Programming environment independency API WMS, WCS, WFS, GUI, FTP… Data demand GUI, RPC, REST… Placing requirements Unified API provision

21 Legend Step 3. Service models in DPC CC Data Virtual Machine Application Middleware OS Hardware Data Virtual Machine Application Middleware OS Hardware Data Virtual Machine Application Middleware OS Hardware Software as a Service SAAS Managed by user Partially managed by user (setting) Managed by data center provider Platform as a Service PAAS Infrastructure as a Service IAAS Customers Systems integrators Application developers End users

22 Automatically by schedule On demand Step 3. ERS data processing requests execution again Processing requests processing…

23 Step 4. Providing access interfaces to IGDIS ERS GUI tools web-services RPC FTP web-API and standard protocols geoportals

24 Conclusion Tools Cloud Computing Data Processing Centers (DPC CC) of IGDIS ERS

25 Open Joint-Stock Company «Research Institute of Precision Instruments» (OJSC RI PI) Thank you for your attention!


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