9th GLTN Partners Meeting 2023
The 9th GLTN Partners’ Meeting 20203 will focus on the lessons learnt from Phase 3 and reflect on the way forward towards Phase 4 of the GLTN programme.
The 9th GLTN Partners’ Meeting 20203 will focus on the lessons learnt from Phase 3 and reflect on the way forward towards Phase 4 of the GLTN programme.
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.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new online advanced webinar series: Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing. This three-part training, presented in English and Spanish, is open to the public and builds on previous ARSET agricultural trainings. Here we present more advanced radar remote sensing techniques using polarimetry and a canopy structure dynamic model to monitor crop growth. The training will also cover methods that use machine learning methods to classify crop type using a time series of Sentinel-1 & Sentinel-2 imagery. This series will include practical exercises using the Sentinel Application Platform (SNAP) and Python code written in Python Jupyter Notebooks, a web-based interactive development environment for scientific computing and machine learning.
NASA’s Applied Remote Sensing Training Program (ARSET) opened a new open, online intermediate webinar series: Biodiversity Applications for Airborne Imaging Systems. This four-part webinar series will focus on NASA Earth Observations (EO) that can be used characterize the structure and function of ecosystems and to measure and monitor terrestrial and aquatic biodiversity.
We are happy to announce the joint IOS-Fair Transitions-LANDac International Conference at the crossroads of the fair transitions and land governance debates in the context of climate change. The conference is structured around the joint challenge of finding ways to make transitions fair and inclusive, for human and non-human life.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online introductory webinar series: Connecting Citizen Science with Remote Sensing. This 3-part training, delivered in English and Spanish, will provide attendees an overview of citizen science efforts that use Earth Observations combined with ground-based information in the fields of climate change, sustainable development, ecosystem monitoring and characterization, drought, and land cover or land-use change, and will highlight case-study examples of successful citizen science projects, with some examples from NASA supported projects and activities.
Le thème de la sixième édition de l'ILDC en 2022 est "Global Pulls on Local Lands : Southern Perspectives". L'objectif est de poursuivre et d'élargir la portée des échanges Sud-Sud autour des conversations et des coopérations sur les terres, qui ont débuté lors du dernier épisode, tandis que l'accent des délibérations continuera d'être mis sur l'Inde.
Copernicus Land User Event - Register now!
European and global land surface applications
The theme of the sixth edition of ILDC in 2022 is “Global Pulls on Local Lands : Southern Perspectives”. The objective is to further and expand the scope of South-South Exchange around land conversations and cooperations, that began during the last episode, while the focus of the deliberations will continue to be on India.
Date: - 5 - 10 December 2022
Theme: - Land Governance and Development
Venue: - Azim Premji University Campus, Bengaluru, India
Panel will be presented in English with simultaneous interpretation in Arabic, French, and Russian.