NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new online introductory webinar series: Fundamentals of Machine Learning for Earth Science. This three-part training, presented in English and Spanish, is open to the public and will provide attendees an overview of machine learning in regards to Earth Science, and how to apply these algorithms and techniques to remote sensing data in a meaningful way. Attendees will also be provided with end-to-end case study examples for generating a simple random forest model for land cover classification from optical remote sensing. We will also present additional case studies to apply the presented workflows using additional NASA data.
The World Urban Forum (WUF) was established in 2001 by the United Nations to address one of the most pressing issues facing the world today: rapid urbanization and its impact on communities, cities, economies, climate change and policies. Convened by UN-Habitat, the Forum is a high level, open and inclusive platform for addressing the challenges of sustainable urbanization.
The study was commissioned to the KIT Royal Tropical Institute in July 2017 by the Land Dialogue, with financial support from the Dutch Government. The objective is to provide insight and guidance into the relevance of land governance as a possible priority theme t o be considered in the process of the International Responsible Business Conduct (IRBC) Agreements.
Secure land tenure in rural landscapes is widely recognized as an essential foundation for achieving a range of economic development goals. However, forest areas in low and middle-income countries face particular challenges in strengthening the security of land and resource tenure. Forest peoples are often among the poorest and most politically marginalized communities in their national contexts, and their tenure systems are often based on customary, collective rights that have insufficient formal legal protection.
This guidance note provides a framework for understanding and addressing land and natural resource-related grievances and conflicts through a holistic, systematic approach. While the main emphasis is on violent conflict, it may also be useful in a variety of other situations characterized by significant land-related grievances, but which are not currently or openly violent. It is intended for staff of multilateral organisations, national and local governments, and civil society organisations.
