Use of Smartphone Technology for Small-Scale Silviculture: A Test of Low-Cost Technology in Eastern Ontario

This study examined the potential use of low-cost consumer-grade smartphone technology to perform and improve field data collection in support of small-scale forest management. This proof-of-concept exercise for day-to-day forester operations focused on the effectiveness of the smartphone platform (form factor and functionality) rather than any particular smartphone software. An electronic data acquisition system for a smartphone was developed that combined a simple custom timber cruise application and mobile commercial mapping software to record and process forest stand and geospatial information, and transfer these to a small-scale operator’s existing desktop geographic information system. Workflow efficiency and system performance of the smartphone system was then measured and compared with paper-based methods presently being used in the managed forest. The smartphone greatly increased workflow efficiency by reducing data transfer and processing times, and eliminated the need to carry separate global positioning system (GPS) device, map, paper forms and digital camera. The GPS accuracy of the smartphone was more than adequate to meet operational requirements, and provided a capacity to map forest features on an ad hoc basis that is not easily done through the paper-based process. However, initial data entry using the smartphone takes longer than using paper-based notes, there is a greater chance of data entry error through inadvertent keypad touches on the small screen, and there is the potential for a device malfunction. Overall, it is concluded that smartphones offer an opportunity for small-scale operators to create electronic field data management systems that are affordable, operationally robust, compatible with existing management systems, capable of increasing data management efficiency and, in particular, expanding the types of data that can be collected during silvicultural operations.

[1]  Zhiping Wang,et al.  A VB-Based Forest Field Data Collection System , 2009, 2009 Second International Workshop on Computer Science and Engineering.

[2]  Pengju Liu,et al.  Application of PDA forest fire monitoring based on web service technology , 2009 .

[3]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2005 .

[4]  Alexandre M. Bayen,et al.  Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment , 2009 .

[5]  L. Sack,et al.  Digital data collection in forest dynamics plots , 2010 .

[6]  Jengchung V. Chen,et al.  Acceptance and adoption of the innovative use of smartphone , 2007, Ind. Manag. Data Syst..

[7]  Aaron M. Bernard,et al.  Digital mapping alternatives : GIS for the busy forester , 2005 .

[8]  Kent L. Norman,et al.  Development of an instrument measuring user satisfaction of the human-computer interface , 1988, CHI '88.

[9]  Eric A. Brewer,et al.  N-smarts: networked suite of mobile atmospheric real-time sensors , 2008, NSDR '08.

[10]  Charlotte Walker-Osborn,et al.  to Byod or … not to Byod , 2013 .

[11]  Edward Norris,et al.  Staying One Step Ahead , 2013 .

[12]  David M. Aanensen,et al.  EpiCollect: Linking Smartphones to Web Applications for Epidemiology, Ecology and Community Data Collection , 2009, PloS one.

[13]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[14]  R. Kwok Personal technology: Phoning in data , 2009, Nature.

[15]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[16]  Chong-gui Li,et al.  Mobile GIS System for Forest Resources Inventory , 2010, 2010 International Conference on Multimedia Technology.

[17]  A. Mitchell The ESRI guide to GIS analysis , 1999 .

[18]  You-yi Jiang,et al.  Development of mobile GIS system for forest resources second-class inventory , 2011, Journal of Forestry Research.