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Canopy closure estimates with GreenOrbs: Sustainable sensing in the forest

  • Lufeng Mo
  • , Yuan He
  • , Yunhao Liu
  • , Jizhong Zhao
  • , Shao Jie Tang
  • , Xiang Yang Li
  • , Guojun Dai
  • Xi'an Jiaotong University
  • Hong Kong University of Science and Technology
  • Illinois Institute of Technology
  • Hangzhou Dianzi University

科研成果: 书/报告/会议事项章节会议稿件同行评审

308 引用 (Scopus)

摘要

Motivated by the needs of precise forest inventory and real-time surveillance for ecosystem management, in this paper we present GreenOrbs [2], a wireless sensor network system and its application for canopy closure estimates. Both the hardware and software designs of GreenOrbs are tailored for sensing in wild environments without human supervision, including a firm weatherproof enclosure of sensor motes and a light-weight mechanism for node state monitoring and data collection. By incorporating a pre-deployment training process as well as a distributed calibration method, the estimates of canopy closure stay accurate and consistent against uncertain sensory data and dynamic environments. We have implemented a prototype system of GreenOrbs and carried out multiple rounds of deployments. The evaluation results demonstrate that GreenOrbs outperforms the conventional approaches for canopy closure estimates. Some early experiences are reported in this paper.

源语言英语
主期刊名Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
99-112
页数14
DOI
出版状态已出版 - 2009
活动7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009 - Berkeley, CA, 美国
期限: 4 11月 20096 11月 2009

出版系列

姓名Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009

会议

会议7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
国家/地区美国
Berkeley, CA
时期4/11/096/11/09

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