A Study to the Application of Monitoring Forest Phenology by Using Wireless Sensor Networks

• Main Authors: Ching-Ru Lin, 林清儒
• Other Authors: 邱祈榮
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/29808073531008479111

碩士 === 臺灣大學 === 森林環境暨資源學研究所 === 95 === In the phenological monitoring, scientific methods are expected to compile the data of microclimate and vegetation growth, which would be processed into useful information. The researchers could, therefore, make right decision, predict, and assessment in the phenology. The phenological research in Taiwan is not easy to implement, such as long term succession field inventory and observation, and it lacks of detailed and continuous data to confirm the mechanism of the phenological changes. Consequently, this research applied the new advanced technology, the wireless sensor network (WSN) and web-camera, in the process of phenological monitoring, providing more information than traditional method. The study established wireless sensor network and web camera in Auwanda and Alishan Forest Recreation Area to monitor the phonological phenomenon of Liquidambar formosana Hance and Prunus yedoensis cv. Yedcensis relatively. The leaf coloration of Liquidambar formosana Hance is classified by the RGB value of monitoring images. Then, it compiled the data of microclimate to understand the relationship of leaf coloration and temperature. The results showed that the cooling hours needed is 1020 degree-hrs for reaching 100% of the leaf coloration from October 1, 2006. For the blossoming phenology, the temperature was recorded every 10 minutes and blossoming image of Prunus yedoensis cv. Yedcensis were taken from January 1, 2007 to April 15, 2007. According, the phenological model (degree-hrs model and degree-days model) of blossoming were established. The results showed that the feedback rate of WSN was 80% during the studying period. Although the rate seemed to be low, the data was enough to detect that the flowering date was on March 16 and full-flowering date was on March, 29. Meanwhile, the accumulating heat needed for the flowering was 8226(model 1) or 4527(model 2) degree-hrs and full-flowering was 10300(model 1) or 5953(model 2) degree-hrs. The WSN and Web-camera provided convenience and practical method for the phenological monitoring. The device transferred the mass, fast and timely data to the lab through the internet. The researcher could keep the latest information. This new advance application broke through the traditional methods and would become a new research method gradually in ecological research, resource management and environmental monitoring.