DocumentCode
567028
Title
Framework for phenology analyses from observation data of digital images and meteorological data
Author
Xiao, Xiao ; Li, Jianhui ; He, Honglin ; Tan, Fei ; Zhou, Yuanchun
Author_Institution
Sci. Data Center, Comput. Network Inf. Center, Beijing, China
Volume
2
fYear
2012
fDate
25-27 May 2012
Firstpage
373
Lastpage
377
Abstract
Web camera image databases and meteorological datasets from the observing stations provide critical resources for plant phenology and meteorological research. These data are valuable components for a variety of modeling applications, but there is a lack of comprehensive framework that provides archive and online analysis for image data and in-situ meteorological data. An efficient and easy-to-use way for data acquisition and processing is waiting to be discovered. This study focuses on developing a web based framework (http://159.226.111.45:8080/ImageProcess/rgb.jsp) to manage and analyze image data and meteorological data from observation stations. Our framework provides reliable data management for image data and meteorological data from the sensor network deployed over the stations in different regions, and has the ability to chart the time-series of statistics extracted from the image data and the related meteorological data. The implemented web interface for the framework is a powerful and useful tool for adding educational and scientific value to repeat digital photography systems.
Keywords
distributed data management; greenness index; online phenology analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location
Zhangjiajie, China
Print_ISBN
978-1-4673-0088-9
Type
conf
DOI
10.1109/CSAE.2012.6272795
Filename
6272795
Link To Document