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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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

308 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
Pages99-112
Number of pages14
DOIs
StatePublished - 2009
Event7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009 - Berkeley, CA, United States
Duration: 4 Nov 20096 Nov 2009

Publication series

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

Conference

Conference7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
Country/TerritoryUnited States
CityBerkeley, CA
Period4/11/096/11/09

Keywords

  • Canopy closure
  • Deployment
  • Design
  • Wireless sensor network

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