当前位置: X-MOL 学术Carbon Balance Manag. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Synergizing community-based forest monitoring with remote sensing: a path to an effective REDD+ MRV system.
Carbon Balance and Management ( IF 3.8 ) Pub Date : 2017-12-01 , DOI: 10.1186/s13021-017-0087-8
M S R Murthy 1 , Hammad Gilani 2 , Bhaskar Singh Karky 1 , Eklabya Sharma 1 , Marieke Sandker 3 , Upama Ashish Koju 4 , Shiva Khanal 5 , Mohan Poudel 6
Affiliation  

The reliable monitoring, reporting and verification (MRV) of carbon emissions and removals from the forest sector is an important part of the efforts on reducing emissions from deforestation and forest degradation (REDD+). Forest-dependent local communities are engaged to contribute to MRV through community-based monitoring systems. The efficiency of such monitoring systems could be improved through the rational integration of the studies at permanent plots with the geospatial technologies. This article presents a case study of integrating community-based measurements at permanent plots at the foothills of central Nepal and biomass maps that were developed using GeoEye-1 and IKONS satellite images. The use of very-high-resolution satellite-based tree cover parameters, including crown projected area (CPA), crown density and crown size classes improves salience, reliability and legitimacy of the community-based survey of 0.04% intensity at the lower cost than increasing intensity of the community-based survey to 0.14% level (2.5 USD/ha vs. 7.5 USD/ha). The proposed REDD+ MRV complementary system is the first of its kind and demonstrates the enhancement of information content, accuracy of reporting and reduction in cost. It also allows assessment of the efficacy of community-based forest management and extension to national scale.

中文翻译:

通过遥感使基于社区的森林监测相结合:通向有效的REDD + MRV系统的途径。

对林业部门碳排放和清除的可靠监测,报告和验证(MRV)是减少森林砍伐和森林退化(REDD +)排放量的努力的重要组成部分。依赖森林的当地社区通过基于社区的监测系统参与为MRV做出贡献。通过将永久性地块的研究与地理空间技术合理地结合起来,可以提高这种监测系统的效率。本文介绍了一个案例研究,该案例将尼泊尔中部山麓永久性地块的基于社区的测量结果与使用GeoEye-1和IKONS卫星图像开发的生物量图进行了整合。使用超高分辨率的基于卫星的树木覆盖参数,包括树冠投影面积(CPA),冠密度和冠大小等级提高了以0.04%强度进行的社区调查的显着性,可靠性和合法性,而成本却比以社区为基础的强度提高到0.14%的水平低(2.5美元/公顷对7.5美元/公顷)。拟议的REDD + MRV补充系统是此类系统中的第一个,它演示了信息内容的增强,报告的准确性和成本的降低。它还可以评估基于社区的森林管理的有效性并扩展到全国范围。拟议的REDD + MRV补充系统是此类系统中的第一个,它演示了信息内容的增强,报告的准确性和成本的降低。它还可以评估基于社区的森林管理的有效性并扩展到全国范围。拟议的REDD + MRV补充系统是此类系统中的第一个,它演示了信息内容的增强,报告的准确性和成本的降低。它还可以评估基于社区的森林管理的有效性以及扩展到全国范围。
更新日期:2017-12-01
down
wechat
bug