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The Institute for Global Environmental Strategies (IGES) has carried out policy research on strengthening capacities for effective implementation of Education for Sustainable Consumption (ESC) and identifying pathways to facilitate mainstreaming of ESC with a specific focus on the roles governments can play in promoting sustainable consumption. An...

This study conducted a comparative assessment of 48 greenhouse gas (GHG) emissions reduction scenarios for 2030 reported in seven studies published since 2011 and based on bottom-up energy system analyses. This study conducted two sets of analyses. First, the scenarios were categorized into four mitigation effort levels and assessed the value...

This database has two types of NPV of GHG abatement cost; NPV without/with social cost (NPV1 and NPV2, respectively). NPV1 reflects on the ideas of levelized cost and does not include expenses for tax and interest. For NPV2, effect of tax and interest are included, which indicates the actual cost for project developers. This database does not...

This data set (http://archive.ics.uci.edu/ml/datasets/Forest+type+mapping) contains training and testing data from a remote sensing study which mapped different forest types based on their spectral characteristics at visible-to-near infrared wavelengths, using ASTER satellite imagery. The data set be used to evaluate the performance of different...

SDPlanNet in Asia-Pacific aims to contribute to the post-2015 Development Agenda process, particularly in terms of translating global agreements on the SDGs into meaningful policies and practices at regional, national and sub-national levels. This Regional Practices Paper is prepared as spadework for the attainment of this objective. Specifically...

This study provides a computationally-simple method to annually update existing national forest maps and model future forest change. It involves integrating national forest maps and global tree cover maps to monitor annual forest change, and then modeling future change by linear extrapolation of the historical trend.