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.

Copernicus Land User Event - Register now!

European and global land surface applications

Date: - 5 - 10 December 2022

Theme: - Land Governance and Development

Venue: - Azim Premji University Campus, Bengaluru, India

Positive futuremaking starts when space, time and land with its inhabitants are brought and thought together, when diverse forms of life on, with and off the land can be accepted as valid elements of futuremaking; when unnecessary distinctions among livelihoods and forms of existence are overcome; and when all members of society are trusted to cooperate to build states on peaceful terms.

Este taller, organizado por la Red de la Soberanía de los Pueblos, tiene por objeto compartir las experiencias de activistas de movimientos sociales y de la sociedad civil de diferentes regiones del mundo que luchan por defender sus derechos y la soberanía sobre sus territorios y sus vidas.

This workshop, organized by the People´s Sovereignty network, aims at sharing the experiences of social movement and civil society activists from different regions of the world who are struggling to defend their rights and sovereignty over their territories and lives.

Given the uncertainties generated after the peace agreements in Colombia, we believe that understanding and studying the most relevant transformation agents and potential socio-ecological pathways into the future is a key step to develop pro-active management strategies.