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Data or Tool
IGES JCM Database provides detailed information on the JCM MRV methodologies, projects, feasibility studies, and decision-making processes. The JCM is implemented by the Government of Japan with 17 partner countries; Mongolia, Bangladesh, Ethiopia, Kenya, Maldives, Viet Nam, Lao PDR, Indonesia, Costa Rica, Palau, Cambodia, Mexico, Saudi Arabia...
Keywords:
Book
Editor:
Alexandros
Gasparatos
Merle
Naidoo
Abubakari
Ahmed
Alice
Karanja
Kensuke
Fukushi
The aim of this two-volume book series is to highlight some of the most pervasive sustainability challenges that Sub-Saharan Africa faces. The two volumes contain 20 chapters that illustrate very diverse sustainability challenges throughout the continent, adopting interdisciplinary and problem-oriented research approaches, and methods from the...
Book
Author:
Alexandros
Gasparatos
Abubakari
Ahmed
Merle
Naidoo
Alice
Karanja
Kensuke
Fukushi
The aim of this 2-volume book is to highlight how Sustainability Science approaches can help solve some of the pervasive challenges that Africa faces. The volumes collect a number of local case studies throughout Africa that adopt transdisciplinary and problem-oriented research approaches using methodologies from the natural and the social sciences...
Discussion Paper
Our lifestyles, through the impacts of our day-to-day activities such as eating, moving and commuting, heating and cooling our homes, caring, working, and so on, have become major threats to the sustainability of the environment. While continued economic growth and urbanisation in many countries are expected, it is imperative to consider how we...
Non Peer-reviewed Article
In 内側から見た中国最新環境事情 第61回/August 2020 Global Net Series
地球・人間環境フォーラムの月刊環境情報誌、「グローバルネット」に地球環境戦略研究機関(IGES)北京事務所所長の小柳秀明が、中国の最新環境事情を現地滞在レポートとして偶数月で連載しています。
Peer-reviewed Article
In Geomorphology
Author:
Haireti
Alifu
Jean-Francois
Vuillaume
Yukiko
Hirabayashi
Debris cover on glacier surfaces hampers the accurate detection of debris-covered ice using traditional techniques based on image band ratios. Therefore, this study tests a new automatic classification scheme for hierarchical mapping of glacier surfaces based on machine learning classifiers including k-nearest neighbors (KNN), support vector...