Synergizing community-based forest monitoring with remote sensing: a path to an effective REDD+ MRV system.

Autor: Murthy MSR; International Centre for Integrated Mountain Development, GPO Box 3226, Kathmandu, Nepal., Gilani H; Department of Atmospheric Sciences, University of Illinois, Urbana, IL, 61801, USA. hgilani@illinois.edu., Karky BS; International Centre for Integrated Mountain Development, GPO Box 3226, Kathmandu, Nepal., Sharma E; International Centre for Integrated Mountain Development, GPO Box 3226, Kathmandu, Nepal., Sandker M; UNREDD Program, United Nations Food and Agriculture Organization, Viale delle Terme di Caracalla, 00150, Rome, Italy., Koju UA; Key Laboratory of Digital Earth Science, The Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), Beijing, China., Khanal S; Department of Forest Research and Survey, Babarmahal, Kathmandu, Nepal., Poudel M; REDD Implementation Center, Babarmahal, Kathmandu, Nepal.
Jazyk: angličtina
Zdroj: Carbon balance and management [Carbon Balance Manag] 2017 Dec 01; Vol. 12 (1), pp. 19. Date of Electronic Publication: 2017 Dec 01.
DOI: 10.1186/s13021-017-0087-8
Abstrakt: Background: 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.
Results: 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).
Conclusion: 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.
Databáze: MEDLINE
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