The Centre’s audited financial report is also included in the report to ensure that ICIMOD maintains fiscal accountability and transparency
This publication presents a review of current biomass assessment and monitoring systems and the application of geospatial data and tools in the Hindu Kush Himalayan (HKH) region, and the scope for strengthening such systems. It showcases the contributions of participants of an international expert meeting on ‘Geospatial Information Systems for Multi-scale Forest Biomass Assessment and Monitoring in the Hindu Kush Himalayan Region’ held in December 2013. Papers in the volume cover topics ranging from an overview of the geospatial datasets, models, and methodological frameworks being adopted in the HKH region to different capabilities related to biomass assessment and geospatial analysis, different levels of preparedness and implementing capacity for REDD+ MRV, and applications of active and optical sensors using a range of models, methods, specific data, and techniques.
The Reducing Emissions from Deforestation and Forest Degradation (REDD) mechanism offers a promising approach for protecting and enhancing the world’s forests. But implementing REDD+ will only be possible if appropriate cost-effective ways can be developed to measure forests and accurately assess changes in forest area and biomass.
This publication presents the findings of the geospatial component of a three-year study on the design and establishment of a governance and payment system for Nepal’s community forest management under REDD. The publication describes the development and testing of a method for delineating forest area using a participatory GIS approach with high resolution satellite images in three watersheds: Kayar Khola in Chitwan District, Ludi Khola in Gorkha District, and Charnawati in Dolakha District, representing the three regions of plains, hills, and mountains. This study provides baseline data for comparison in future studies as well as a method for delineating permanent representative sample plots. It also shows that biomass and carbon stocks can be assessed from satellite images with integration of only a small amount of data from the sample plots. Comparison with results from field-based measurements showed that optical remote sensing can provide usable values for forest biomass over a large area and in a timely and cost-effective manner