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The IGES NDC Database compiles the main features of the Nationally Determined Contributions (NDCs), which were communicated by the Parties to the United Nations Framework Convention on Climate Change (UNFCCC) in order to present the targets and measures that will be taken in order to implement the Paris Agreement, according to countries’ national...

The Institute for Global Environmental Strategies (IGES) has launched an interactive online tool to assess how the observed and projected changes in river basins relate to various Sustainable Development Goals (SDGs) and their associated targets, from both a spatial and temporal perspective. The Interactive SDG Tool for River Basins is the outcome...

We analyse the current status of impact reporting for Japan's green bonds, identify challenges, and make recommendations for the future. The green bonds covered by the analysis are those issued in the two-and-a-half-year period from January 2017 to June 2019 and those which include renewable energy in their use of proceeds. As a result, a total of...

This voluntary standard is based on participatory research with forest sector parties to develop methods for evaluating the governance quality of forest sector programmes and projects, including emissions reduction activities, in Nepal. The research was conducted July 2011 – January 2016 by Dr Federico Lopez-Casero of the Institute for Global...

We analyzed the change in vegetated and urban (impervious) area in the Silang-Santa Rosa sub-watershed of the Philippines to assess the implications related to flood risk. Our main findings were: -The impervious area of sub-watershed increased by 54% (from 3,239 ha. to 4,988 ha.). -The vegetated area decreased by 21% (from 8,509 ha. to 6,760 ha)....

This dataset can be used by researchers to test different land use/land cover mapping methods using crowdsourced geographic data and Landsat satellite imagery. The study area is the Laguna de Bay area of the Philippines, and the satellite data is from 2014-2015. This dataset will also be available on the "UCI Machine Learning Repository" (https:/...