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

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...

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Autores principales: Pratihast, Arun Kumar, Herold, Martin, Avitabile, Valerio, de Bruin, Sytze, Bartholomeus, Harm, Souza, Carlos M., Ribbe, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574662/
https://www.ncbi.nlm.nih.gov/pubmed/23344371
http://dx.doi.org/10.3390/s130100021
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author Pratihast, Arun Kumar
Herold, Martin
Avitabile, Valerio
de Bruin, Sytze
Bartholomeus, Harm
Souza, Carlos M.
Ribbe, Lars
author_facet Pratihast, Arun Kumar
Herold, Martin
Avitabile, Valerio
de Bruin, Sytze
Bartholomeus, Harm
Souza, Carlos M.
Ribbe, Lars
author_sort Pratihast, Arun Kumar
collection PubMed
description 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.
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spelling pubmed-35746622013-02-25 Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam Pratihast, Arun Kumar Herold, Martin Avitabile, Valerio de Bruin, Sytze Bartholomeus, Harm Souza, Carlos M. Ribbe, Lars Sensors (Basel) Article 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. MDPI 2012-12-20 /pmc/articles/PMC3574662/ /pubmed/23344371 http://dx.doi.org/10.3390/s130100021 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Pratihast, Arun Kumar
Herold, Martin
Avitabile, Valerio
de Bruin, Sytze
Bartholomeus, Harm
Souza, Carlos M.
Ribbe, Lars
Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam
title Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam
title_full Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam
title_fullStr Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam
title_full_unstemmed Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam
title_short Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam
title_sort mobile devices for community-based redd+ monitoring: a case study for central vietnam
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574662/
https://www.ncbi.nlm.nih.gov/pubmed/23344371
http://dx.doi.org/10.3390/s130100021
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