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Sensor Network for Field Monitoring under Extreme Climate Conditions

This report highlights the use of sensor networks in field monitoring under extreme climate conditions. It discusses the US$100 PC project, sensor network agriculture, and the Emja Glacier monitoring project near Mt. Everest, focusing on global warming monitoring.

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Sensor Network for Field Monitoring under Extreme Climate Conditions

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  1. APAN/AG-WG Report • AG session @ Honolulu, 2008 • 10 presentations • Ontology and textmining:1 • Sensor network:8 • Global crop modelling:1 • Main topic • Field monitoring under extreme climatic condition by sensor network • US$100 PC project and sensor network

  2. Agriculture WG Highlights • Emja glacier (5100 m) monitoring project • Near Mt. Everals • Global warming monitoring • Japan: Keio University • Nepal: ICIMOD • Monitoring infrastructure • Fieldserver and long distance WIFI link • Japan: National Agricultural Research Center, Mie University, ALFAE • Nepal: NREN • Thailand: AIT

  3. Global Roads – AsiaWorkshop Earth Monitoring Working Group January 24, 2008

  4. There is a dearth of openly available digital street and road data in most Asian countries.

  5. In contrast – there is a growing abundance of satellite imagery suitable for the extraction of street and road data!See Google Earth…….

  6. Can we assist in the development of street and road data in Asia using satellite remote sensing data?

  7. Reference Data - Half Meter Resolution Color Orthophoto Mosaic of the Maine Coast, USA

  8. Reference Data - Half Meter Resolution Color Orthophoto Mosaic of the Maine Coast, USA

  9. Example of a primary road

  10. Example of a secondary road

  11. Example of a 3rd level road

  12. Primary roads and some secondary roads could be identified in NASA Landsat Geocover Orthorectified data

  13. Roads were easier to detect in 15 meter Japan ASTER orthrectified data

  14. Recommended Approach • Ingest current decade roads data from available open sources. This forms the initial base. • Process the ASTER archive in gap areas with automated road extraction algorithms (AIST GEO Grid). • Establish web mapping service at to allow registered users (crowd sourcing) to add roads, label road names, add metadata and GPS tracks. • Explore the possible use of high spatial resolution imagery available in virtual globes (e.g. Google Earth) to generate street / road data in urban areas (crowd sourcing). • Seek funding for pilot project in Asia region. • Meet to discuss progress later in 2008.

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