• Tropical deforestation drivers and associated carbon emission factors derived from remote sensing data

    De Sy V, Herold M, Achard F et al.
    Environmental Research Letters
    2019

    This study quantified post-deforestation land use across the tropics for the period 1990–2000. This dataset was then combined with a pan-tropical AGB map at 30 m resolution to refine emission factor from forest conversion by matching deforestation areas with their carbon stock before and after clearing and to assess spatial dynamics by follow-up land use.

  • Global data and tools for local forest cover loss and REDD+ performance assessment: Accuracy, uncertainty, complementarity and impact

    Bos A, De Sy V, Duchelle A et al.
    International Journal of Applied Earth Observation and Geoinformation
    2019

    Assessing the performance of REDD+ efforts requires data on forest cover change. Innovations in remote sensing and forest monitoring provide ever-increasing levels of coverage, spatial and temporal detail, and accuracy. In this paper we analyse (1) differences in accuracy between datasets of forest cover change; (2) if and how combinations of datasets can increase accuracy; and we demonstrate (3) the effect of (not) doing accuracy assessments for REDD+ performance measurements.

  • Comparing methods for assessing the effectiveness of subnational REDD+ initiatives

    Bos AB, Duchelle AE, Angelsen A et al.
    Environmental Research Letters
    2017

    Subnational REDD+ initiatives present an opportunity to compare different approaches to quantifying impacts on carbon emissions. This study (1) develops a Before-After-Control-Intervention (BACI) method to assess the effectiveness of 23 subnational REDD+ initiatives in Brazil, Peru, Cameroon, Tanzania, Indonesia and Vietnam; (2) compares the results at different scales; and (3) compares BACI with the simpler Before-After (BA) results.

  • Remote sensing of land use and carbon losses following tropical deforestation

    De Sy V
    PhD dissertation, Wageningen University
    2016

    The need for data on drivers and activities causing forest carbon change have been highlighted as central components in REDD+ readiness efforts. Assessment of direct and indirect drivers on the national level is often lacking or incomplete. This thesis explores the role of remote sensing for monitoring tropical forests for REDD+ in general, and for assessing land use and related carbon emissions linked to drivers of tropical deforestation in particular.

  • Synergies of multiple remote sensing data sources for REDD+ monitoring

    De Sy V, Herold M, Achard F et al.
    Current Opinion in Environmental Sustainability
    2012

    Remote sensing technologies can provide objective, practical and cost-effective solutions for developing and maintaining REDD+ monitoring systems. This paper reviews the potential and status of available remote sensing data sources with a focus on synergies among various approaches and evolving technologies.