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”)

Outline

1. The state of IGDIS ERS for 2013

2. 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

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

IGDIS ERS

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

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

IGDIS ERS

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

ROSGIDROMET The system for working with

the satellite dataNIC "Planeta"

Information system of Russian Agricultural Census monitoring

Dynamic catalogue of NTs

OMZ data

ROSLESHOZInformation 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

VEGASatellite Service

analysis of vegetation

Sea To SeaOceans Satellite monitoring

service

VEGA-LesopatologThe satellite monitoring system of forest health

Informational systems that using web-services of Geoportal Roscosmos

GEOPORTAL ROSCOSMOSwww.gptl.ru

ERS data and fields of their applications

• Agriculture resources accounting

• Precision agriculture

• Evaluation of germination

• Evaluation of ripeness

• Yield forecasting

• Harvest monitoring

ERS data in agriculture

• 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

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

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

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)

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

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

Step 2. Development of the processing tools for automatic ERS products creation within the bounds of IGDIS ERS

Product type

1 Geometrically corrected images

2 Geometrically corrected images in natural colors

3 Seamless mosaic of geometrically corrected images (from one type satellites)

4 Spectral vegetation indices (NDVI, SAVI, RVI, etc.)

5 Burned-out forests map

6 Seat of fire map

7 Oceans and seas map

8 Forests map

Step 2. ERS data processing requests execution

Automatically by specified schedule

On the user’s requests

Requests parameters

• spatial-temporal parameters• input data• product’s type• product’s specific parameters

Processing requests

processing…

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

?

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

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 ServiceSAAS

Managed by user

Partially managed by user (setting)

Managed by data center

provider

Platform as a ServicePAAS

Infrastructure as a ServiceIAAS

CustomersSystems

integratorsApplication developers

End users

Automatically by schedule

On demand

Step 3. ERS data processing requests execution again

Processing requests

processing…

Step 4. Providing access interfaces to IGDIS ERS

GUI tools

web-services

RPCFTP

web-API and

standard protocols

geoportals

Conclusion

Tools

Cloud Computing Data Processing Centers

(DPC CC)of IGDIS ERS

Open Joint-Stock Company «Research Institute of Precision Instruments»

(OJSC “RI PI”)

Thank you for your attention!