Next Article in Journal
Fiber Loop Ringdown Sensor for Potential Real-Time Monitoring of Cracks in Concrete Structures: An Exploratory Study
Next Article in Special Issue
The Aeroflex: A Bicycle for Mobile Air Quality Measurements
Previous Article in Journal
Investigation of a Passive Sensor Array for Diagnosis of Loosening of Endoprosthetic Implants
Previous Article in Special Issue
A Laboratory Goniometer System for Measuring Reflectance and Emittance Anisotropy
Article Menu

Export Article

Open AccessArticle
Sensors 2013, 13(1), 21-38; doi:10.3390/s130100021

Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam

Centre for Geo-Information, Wageningen University, P.O. Box 47, 6700 AA, Wageningen, The Netherlands
Institute for Technology and Resources Management in the Tropics and Subtropics (ITT), Cologne University of Applied Sciences, Betzdorfer Str. 2, 50679 Köln, Germany
Instituto do Homem e Meio Ambiente da Amazônia—Imazon, Caixa Postal 5101, Belém, PA 66613-397, Brazil
Author to whom correspondence should be addressed.
Received: 16 November 2012 / Revised: 6 December 2012 / Accepted: 13 December 2012 / Published: 20 December 2012
(This article belongs to the Special Issue Workshop Sensing A Changing World 2012)
View Full-Text   |   Download PDF [1224 KB, uploaded 21 June 2014]   |  


Monitoring tropical deforestation and forest degradation is one of the central elements for the Reduced Emissions from Deforestation and Forest Degradation in developing countries (REDD+) scheme. Current arrangements for monitoring are based on remote sensing and field measurements. Since monitoring is the periodic process of assessing forest stands properties with respect to reference data, adopting the current REDD+ requirements for implementing monitoring at national levels is a challenging task. Recently, the advancement in Information and Communications Technologies (ICT) and mobile devices has enabled local communities to monitor their forest in a basic resource setting such as no or slow internet connection link, limited power supply, etc. Despite the potential, the use of mobile device system for community based monitoring (CBM) is still exceptional and faces implementation challenges. This paper presents an integrated data collection system based on mobile devices that streamlines the community-based forest monitoring data collection, transmission and visualization process. This paper also assesses the accuracy and reliability of CBM data and proposes a way to fit them into national REDD+ Monitoring, Reporting and Verification (MRV) scheme. The system performance is evaluated at Tra Bui commune, Quang Nam province, Central Vietnam, where forest carbon and change activities were tracked. The results show that the local community is able to provide data with accuracy comparable to expert measurements (index of agreement greater than 0.88), but against lower costs. Furthermore, the results confirm that communities are more effective to monitor small scale forest degradation due to subsistence fuel wood collection and selective logging, than high resolution remote sensing SPOT imagery.
Keywords: mobile devices; REDD+; MRV; community based monitoring; forest carbon; forest change mobile devices; REDD+; MRV; community based monitoring; forest carbon; forest change
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pratihast, A.K.; Herold, M.; Avitabile, V.; de Bruin, S.; Bartholomeus, H.; Jr., C.M.S.; Ribbe, L. Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam. Sensors 2013, 13, 21-38.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top