AIRSAT: A WEBBASED SATELLITE ENVIRONMENTAL INFORMATION SYSTEM

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AIRSAT A WEB-BASED SATELLITE ENVIRONMENTAL
INFORMATION SYSTEM

• Panagiotis Symeonidis1,2, Athina Kokonozi1,
  Kostas Kourtidis1, Evagelos Kosmidis1,2,3
• 1Demokritus University of Thrace, Dept. of
  Environmental EngineeringSchool of Engineering
  67100 Kimeria-Xanthi, Greece
• 2DRAXIS Environmental Technology, 63 Mitropoleos
  Str., 54623 Thessaloniki, Greece (www.draxis.gr)
• DB and Website Development augmented by DOTSOFT
  Company (www.dotsoft.gr)

AIRSAT is co-funded by the European Social Fund
National Resources - EPEAEK II - PYTHAGORAS II.
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Introduction

• AIRSAT is an integrated, web-based satellite
  environmental information system. 
• It provides to users environmental spatial
  data about meteorological parameters
  (temperature, humidity, pressure, wind speed,
  precipitation), atmospheric variables (?3, ??2,
  aerosols), and ocean geophysical
  variables (chlorophyll, sea surface temperature).
  
• Further, it provides online tools for spatial
  data analysis with focus on the atmospheric and
  oceanic environment, using remote sensing data,
  geographical information systems (GIS) and web
  databases and interfaces.
• The data that will be presented in AIRSAT are
  freely available for public access in internet
  and derive from various space agencies like ESA,
  DLR and NASA.

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The AIRSAT Modules

• Satellite Data (manual or automatic download
  procedures)
• Data Processing (Remote Sensing Format ? ESRI
  ASCII grid format)
• Image Generation Application (VB6 - ArcObjects)
• Database (SQL-SERVER)
• WEB Application (ASP)

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Satellite data
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Satellite data
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Satellite data
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Satellite data
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Satellite data
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Data processing

• Data files were opened with RSIs IDL programming
  language.
• The first task performed was georefencing which
  produced a corresponding .hdr file which can be
  used in ENVI directly.
• The second task results to the production of
  ascii files in ESRIs GRID format which will be
  used later for the production of the remote
  sensing images for the web application and for
  populating the database.

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Database design

• A database has been created in order to store and
  query the data. The database was developed in
  Microsoft, SQL Server 2000.
• For the AIRSA? application the following tables
  were used
• Satellites
• Sensors
• Projections
• Acquisition
• Grid Areas
• Image data
• Grid Cells
• Remote sensing data

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Image Generation Application
The application was developed using VB6 and
ArcObjects

• Basic GIS functionalities
• Special actions (create GRID, export images,
  initialize / update database etc)

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Application portal

• The basic functionalities of the web application
  will include
• Selection of remote sensing dataset. For single
  users this will provide a short description and a
  map (image) of the selected data.
• A detailed description of the data will be
  available to the advances users. They can
  download / order data and maps from the download
  area and share scientific content with each
  other.
• Area selection. There will be 2 different
  geographical areas for data presentation. The
  first is over Greece while the second covers the
  whole Europe.
• Data queries. Data querying will be available for
  all users. The search criteria will be both
  descriptive and geographic.
• Data analysis. Data analysis will be performed
  based on user interaction (interactive location
  selection, time series selection, datasets
  selection). The results will be graphs or tables.

Still Under Development !
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Map Search (Selection of Grid, Date, Sensor)

• Select another date and acquire a new set of
  images (In our example we picked sensor EP/TOMS,
  both grids for it and dates from 16/11/2004 until
  30/11/2004
• Choose more than one sensors for a specific date

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Map Search (two dates)

• EP/TOMS results for two grids for dates from
  16/11/2004 until 30/11/2004
• Click on the map and get the time series graph
  for the according date interval.

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Map Search (added functionality)

• Time series presentation
• Points derived from previous steps
• Download data of the chart in .csv format

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Map Search (two sensors)

• Firstly, the results for GOME are shown
• Secondly, the results for EP/TOMS are shown
• Both on the same page
• Get the values for each sensor on the same point

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Future Development and Plans

• Improvement of the Sites Usability
• Add Features
• User Management
• More Data Sets
• Sophisticated Tools for Data analysis (on-line)
• Correlation Analysis of the various parameters
  selected by the user
• 2-D graphics

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IDEA (First Application) from

• UV-Network (www.uvnet.gr)
• The first and the ONLY network for UV data in
  Greece (Satellite and Ground Based Data
  combination).
• Real Time Data Feed from 10 Stations (1 mobile)
• Scientific validations and
• Statistical Manipulation.
• Public Awareness and Information
• National Support from GSRT

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UVNET Basic Map
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Possible Conclusions (1)

• The AIRSAT project aims to provide
• A web portal with high resolution remote sensing
  environmental data for the Thrace area and with
  lower resolution for Europe. Those data, which
  normally can be found in different sources, can
  be used from local and international researchers
  in other scientific studies.
• The necessary infrastructure (data and knowledge)
  for a comprehensive study of atmospheric
  environment using new technologies like remote
  sensing, GIS and web databases.

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Possible Conclusions - Interests (2)

• We would like to have feedback or ideas on
• Possible projects based on the final product
  Public Sector
• Forest Fires Flood Management
• Application in new EC members.
• Environmental Decision Support Systems
  Management
• Incorporate innovative techniques.
• Apply BAPs (Best Available Practices)