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Role of Geospatial Technologies for Assessing REDD+ feasibility at the Sub-national Level in the Philippines

This paper is available in a repository.
This paper is available in a repository.

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Preprint: policy unknown
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Postprint: policy unknown
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Abstract

As the nations prepare towards a new climate agreement in Paris this year, each one considers the existing and future strategies on how to reduce their respective greenhouse gas emissions. The agriculture, forestry, and other land-use sector (AFOLU) comprise almost a quarter of the total emissions generated. Despite its contributions, it also has another important role since forests have the capacity to sequester emissions from the atmosphere; hence forests play a crucial role in terms of preventing further increase of emissions when conserved. The idea behind reducing emissions from deforestation and forest degradation (REDD+) is anchored from this basic principle on preventing further emissions by conserving forested areas. As an incentive, developing countries where most of the forests are found are being compensated with benefits if they so decide to participate in this performance-based mechanism. The Philippines being one of the participating countries under the REDD+ mechanism has been implementing readiness activities since 2010. For this mechanism to be implemented properly, accounting of carbon stocks is of prime importance to accurately measure emissions and requires proper measurement through inventories and rigorous monitoring, reporting, and verification process (MRV). Throughout these processes, the role of geospatial technology, particularly remote sensing and GIS, is essential for increased efficiency in terms of measuring and monitoring carbon stocks and emissions. At the sub-national level, REDD+ pilot sites provide an opportunity for implementing components of REDD+ including the use of technologies to monitor changes in land-use and its corresponding emissions and/or removals. A unique characteristic about the landscape where these pilot sites are found is the prominence of cloud cover both at the spatial and temporal scale, which proved to be the main challenge of using optical imagery, especially on the aspect of generating baseline information on historical deforestation and periodic monitoring of forests. With this limitation, other alternative sensors were used in order to address this gap and generate baseline information. For this study, we have used the Advanced Land Observation Satellite L-band Synthetic Aperture Radar (ALOS PALSAR) due to its capability to penetrate cloud cover and map forested areas. The use of such technologies coupled with ecological and carbon inventories have proved to be efficient, robust and strategic in capturing the Philippines' three currencies for REDD+ namely, carbon, community and biodiversity. Apart from that, sharing lessons learned throughout the process of utilizing these new technologies and transferring the skills to the local and national partners can contribute to the long-term sustainability of the mechanism. These strategies also prove to be vital in terms of the national government's continuous initiative to improve the level of MRV on various forestry related initiatives.