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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
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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.

Jan 20, 2016

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Page 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.

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

Page 2: 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.

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

Page 3: 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.
Page 4: 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.
Page 5: 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.

Global Roads – Asia

Workshop

Earth Monitoring Working Group

January 24, 2008

Page 6: 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.

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

countries.

Page 7: 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.

In contrast – there is a growing abundance of satellite imagery

suitable for the extraction of street and road data!

See Google Earth…….

Page 8: 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.

Can we assist in the development of street and

road data in Asia using satellite remote sensing data?

Page 9: 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.

Reference Data - Half Meter

Resolution Color Orthophoto

Mosaic of the Maine Coast,

USA

Page 10: 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.

Reference Data - Half Meter

Resolution Color Orthophoto

Mosaic of the Maine Coast,

USA

Page 11: 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.

Example of a

primary road

Page 12: 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.

Example of a

secondary road

Page 13: 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.

Example of a 3rd

level road

Page 14: 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.

Primary roads and some

secondary roads could be

identified in NASA Landsat

Geocover Orthorectified

data

Page 15: 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.

Roads were easier to detect

in 15 meter Japan ASTER orthrectified

data

Page 16: 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.

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.