Integrating geographical information and mobile augmented reality technique for tracking tree species composition

Autor: Syazuani Mohd Shariff, Saliza Ramly, Intan Syaherra Ramli, Haslina Binti Arshad, Azyan Yusra Kapi Kahbi, Muhamad Izzat Rahim
Rok vydání: 2013
Předmět:
Zdroj: 2013 IEEE Conference on e-Learning, e-Management and e-Services.
Popis: Studies based on tracking tree species composition are very important for researchers to conserve the ecosystem. The information about tree species composition can be obtained through physical tagging with markers. However, this method is tedious and may harm the structure of trees. Besides, it is time consuming for researchers to track the information for future research. Thus, this paper will propose a mobile tracking application (ARTSC) which integrates the geographical information and mobile augmented reality technique for tracking the tree species composition. By using camera on the smart phone, the information about the species composition will be overlaid on top of the real image. Thus, this application can be one of the alternative methods for researchers to track information about the tree species.
Databáze: OpenAIRE