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Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam
- Source :
- Sensors; Volume 13; Issue 1; Pages: 21-38, Sensors 13 (2013) 1, Sensors, 13(1), 21-38, Sensors, Sensors (Basel, Switzerland), Sensors, Vol 13, Iss 1, Pp 21-38 (2012)
- Publication Year :
- 2012
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2012.
-
Abstract
- 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.
- Subjects :
- Conservation of Natural Resources
business.product_category
forest change
lcsh:Chemical technology
MRV
Biochemistry
Article
Trees
Analytical Chemistry
mobile devices
forest
Laboratory of Geo-information Science and Remote Sensing
REDD+
community based monitoring
forest carbon
Deforestation
Community-based monitoring
Environmental monitoring
Internet access
lcsh:TP1-1185
Laboratorium voor Geo-informatiekunde en Remote Sensing
Electrical and Electronic Engineering
Developing Countries
Instrumentation
Ecosystem
Data collection
Geography
business.industry
plus
Environmental resource management
Reproducibility of Results
Information technology
Equipment Design
PE&RC
Carbon
Atomic and Molecular Physics, and Optics
Reference data
Vietnam
governance
Computers, Handheld
Environmental Pollutants
business
Mobile device
Software
data-collection
Environmental Monitoring
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Database :
- OpenAIRE
- Journal :
- Sensors; Volume 13; Issue 1; Pages: 21-38
- Accession number :
- edsair.doi.dedup.....858a27b7e9929e400f4d6d2735abaad1
- Full Text :
- https://doi.org/10.3390/s130100021