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Initiatives for sustainable societies have gained momentum following recent global agreements on sustainable development, including the 2030 Agenda and the Sustainable Development Goals adopted at the United Nations Sustainable Development Summit in 2015. Efforts to support changes in the behaviour and practices of individuals and organisations...
Data or Tool
Author:
Vanessa
Timmer
This project, Envisioning Future Low-Carbon Lifestyles and Transitioning Instruments, is a part of the Sustainable Lifestyles and Education Programme of the 10-Year Framework of Programmes on Sustainable Consumption and Production Patterns. The project examines how the way we live our daily lives – our choices, habits and the context within which...
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Author:
This is the latest COP21 version of "One Hundred Questions and Answers about MRV in Developing Countries". Our unique approach – questions and answers - gives you an easy-to-understand guide to MRV for the following various schemes and mechanisms: - National Communications - Biennial Update Reports - National GHG Inventories - MRV for Nationally...
Data or Tool
Author:
Osamu BANNAI (Global Environment Centre Foundation)
Wee Kean FONG (IGES)
Takashi MORIMOTO (Mitsubishi UFJ Research and Consulting Co., Ltd.)
The book presents information on existing MRV schemes in Indonesian, like national GHG inventories and the Clean Development Mechanism, in easy-to-understand manner, namely the questions and answers form. The book also introduces lessons and good practices for developing countries regarding MRV.
Data or Tool
Author:
Osamu BANNAI (Global Environment Centre Foundation)
Wee Kean FONG (IGES)
Takashi MORIMOTO (Mitsubishi UFJ Research and Consulting Co., Ltd.)
The book presents information on existing MRV schemes in Vietnamese, like national GHG inventories and the Clean Development Mechanism, in easy-to-understand manner, namely the questions and answers form. The book also introduces lessons and good practices for developing countries regarding MRV.
Data or Tool
UCI Machine Learning Repository
Data set for monitoring Japanese forest health using satellite imagery and machine learning techniques. Published in the UCI Machine Learning Repository ( http://archive.ics.uci.edu/ml/datasets/Wilt ), the largest machine learning database worldwide. Researchers can use the data set to learn, develop, and improve methods for forest monitoring using...