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Wireless Sensor Network for Tea Estate Monitoring in Complementally Usage Eith Satellite Imagery Data Based on Geographic Information System (GIS)
Kohei Arai
Pages - 12 - 21     |    Revised - 01-05-2011     |    Published - 31-05-2011
Volume - 1   Issue - 2    |    Publication Date - July / August 2011  Table of Contents
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KEYWORDS
Sensor Network, Remote Sensing Satellite Imagery Data, Geographic Information System, Wireless Local area Network, Tea Estate, Vitality of Tealeaves
ABSTRACT
Tea estate monitoring system with ground based camera system (sensor network) and meteorological stations as well as satellite imagery data on a Geophysical Information System (GIS) is proposed. Appropriate tea estates can be found with satellite imagery data with a reference of vitality of the tea trees in tea estates derived from ground based camera data. Satellite covers relatively wide areas in comparison to the ground based so that potentiality of the tea estate can be estimated with satellite imagery data. It is better to superimpose the satellite imagery data on topographic map data in determining appropriate tea estates so that GIS is used for such purpose. Meanwhile ground based camera system is appropriate for monitoring a growing process of tea leaves so that quality of tea leaves and for prediction of harvesting tea leaves. Observation frequency of the satellite is smaller than that of the ground based camera system while observation coverage of the satellite is greater than that of the ground based camera system so that both can be used complementally. Tea estates are situated in un-accessible areas of radio wave for mobile phone and the other commercially available radio waves (in mountain tenuous areas as well as valley) so that wireless Local Area Network (LAN) access is mandatory for such areas. Network performance is evaluated as one of key issues for such communication link. GIS performance that is transmission rate of satellite imagery data and topological map data with the different map size and map scales is also evaluated.
CITED BY (2)  
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Dr. Kohei Arai
- Japan
arai@is.saga-u.ac.jp