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
16
Embed
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.
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
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
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
Global Roads – Asia
Workshop
Earth Monitoring Working Group
January 24, 2008
There is a dearth of openly available digital street and road data in most Asian
countries.
In contrast – there is a growing abundance of satellite imagery
suitable for the extraction of street and road data!
See Google Earth…….
Can we assist in the development of street and
road data in Asia using satellite remote sensing data?
Reference Data - Half Meter
Resolution Color Orthophoto
Mosaic of the Maine Coast,
USA
Reference Data - Half Meter
Resolution Color Orthophoto
Mosaic of the Maine Coast,
USA
Example of a
primary road
Example of a
secondary road
Example of a 3rd
level road
Primary roads and some
secondary roads could be
identified in NASA Landsat
Geocover Orthorectified
data
Roads were easier to detect
in 15 meter Japan ASTER orthrectified
data
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.