Le Comité de Liaison des Géomètres Européens (CLGE) et l’Ordre des géomètres-experts (OGE), ont le plaisir de convier le réseau francophone FGF à la IXème Conférence du Géomètre Européen sur le thème « Le rôle du géomètre dans la gestion des catastrophes ».
Pour faciliter une meilleure compréhension des enjeux et débats sur les politiques foncières dans les pays du Sud, le Comité technique « Foncier et développement » (CTFD) a conçu et développé avec ses membres un MOOC sur la base des connaissances et expériences accumulées depuis plus de vingt ans dans différents contextes, et plus particulièrement en Afrique de l’Ouest.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online, intermediate webinar series: Transforming Earth Observation (EO) Data into Building Infrastructure Data Sets for Disaster Risk Modeling. This three-part training, presented in English and Spanish, is open to the public and will cover the basics of natural hazard risk modeling and exposure development with a focus on fusing data from multiple datasets expressly for the purposes of risk assessment. We will also present examples applying the techniques to applications related to flood risk assessment, climate adaptation, and earthquake modeling.
We are thrilled to announce the upcoming second edition of the highly anticipated Copernicus Land User Event! Following the success and positive feedback received from last year's event, we couldn't be more excited to bring together industry leaders, experts, and enthusiasts once again.
Webinar organized by the FIG Climate Compass Task Force and part of its 'Conversations & Consultations Webinar Series'. Registrations are now open.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Monitoring Water Quality of Inland Lakes using Remote Sensing. This advanced-level training will focus on using remote sensing observations from Landsat 8 and 9, Sentinel-2, and Sentinel-3 for assessing water quality parameters, including chlorophyll-a concentration, turbidity, and Total Suspended Solids (TSS) in inland lakes. This training will also highlight the importance of in situ measurements of these parameters, coincident with satellite observations, in developing methodologies for operational water quality monitoring.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Assessing the Impacts of Fires on Watershed Health. This advanced-level, three-part training will focus on using remote sensing observations for monitoring post-fire impacts on watershed health. Specifically, this training will highlight uses of NASA Earth observations (EO) for pre-fire land cover mapping, watershed delineation and stream mapping, post-fire burn severity mapping, and pre- and post-fire riverine and freshwater water quality.
Dans le cadre des Semaines de l’Amérique latine et des Caraïbes 2023, ce webinaire vise à donner la parole à différents acteurs présents dans la région et impliqués dans des projets à fort impact dans les Caraïbes, tout en échangeant sur les opportunités de partenariats qui s’offrent à eux.
NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Application of NASA SPoRT-Land Information System (SPoRT-LIS) Soil Moisture Data for Drought. This 3-part webinar series is focused on the introduction of the NASA Land Information System (LIS) output of soil moisture at various depths for drought analysis and monitoring. Examples from operational applications as well as practice exercises (for using LIS data for drought monitoring) will be included in this course. Access to the SPoRT-LIS products via online viewer, in GIS formats, and GIS-based display tools, will also be included. Moreover, self-paced microlessons will be available to help users confirm their understanding and improve their skill via homework lessons between live sessions.
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.
