Centre for Geo-Information, Wageningen University, Wageningen, The Netherlands.
Sensors (Basel). 2012 Dec 20;13(1):21-38. doi: 10.3390/s130100021.
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.
监测热带森林砍伐和退化是减少发展中国家因森林砍伐和退化所致温室气体排放(REDD+)计划的核心要素之一。目前的监测安排基于遥感和实地测量。由于监测是定期评估森林林分相对于参考数据的属性的过程,因此采用当前 REDD+ 的监测要求在国家层面实施监测是一项具有挑战性的任务。最近,信息和通信技术(ICT)和移动设备的进步使当地社区能够在基本资源环境中监测其森林,例如没有或互联网连接缓慢、电力供应有限等。尽管存在潜力,但移动设备系统在社区为基础的监测(CBM)中的使用仍然很少见,并面临实施挑战。本文提出了一种基于移动设备的集成数据收集系统,简化了社区为基础的森林监测数据收集、传输和可视化过程。本文还评估了 CBM 数据的准确性和可靠性,并提出了一种将其纳入国家 REDD+监测、报告和验证(MRV)计划的方法。该系统在越南中部广南省 Tra Bui 公社进行了评估,跟踪了森林碳和变化活动。结果表明,当地社区能够提供与专家测量相当准确的数据(一致性指数大于 0.88),但成本更低。此外,结果证实,由于生计薪材采集和选择性伐木,社区在监测小规模森林退化方面比高分辨率遥感 SPOT 图像更有效。