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Proceedings of the FIG 2020 Working Week: Smart surveyors for land and water management

10 Mayo 2020 - 14 Mayo 2020
RAI Amsterdam
Europaplein 24
Amsterdam
Netherlands

Due to the current COVID-19 situation, FIG Working Week 2020 has been cancelled. However, the programme, all abstracts and both peer review and regular papers have been published in the FIG 2020 Working Week website. There might be some online webinars/meetings, which will be informed in the event website.

International Federation of Surveyors (FIG)
Kadaster International
Faculty of Geo-Information Science and Earth Observation
Geo-Informatie Nederland

Copernicus Land User Event

17 Noviembre 2022 - 18 Noviembre 2022
Bedford Hotel & Congress Centre
Rue du Midi 135,1000 Bruxelles
Belgium

Copernicus Land User Event - Register now!

European and global land surface applications

Copernicus Land Monitoring Service

Descubriendo las Oportunidades de los Datos sobre la Tierra en Senegal

30 Enero 2023

Aumenta el impulso en torno a las iniciativas internacionales de monitoreo de la tierra, junto con una demanda sin precedentes de datos e información sobre la tierra gratuitos, accesibles y utilizables. El sector de la tierra debe encontrar la manera de aprovechar las oportunidades que ofrecen las innovaciones en materia de datos abiertos, negociando al mismo tiempo un entorno de datos en rápida evolución. 

El Land Portal y la Carta de Datos Abiertos han estado trabajando con el Gobierno de Senegal para abrir los datos sobre la tierra, siguiendo las orientaciones establecidas en la Guía Open Up para la Gobernanza de la Tierra. La Guía Open Up es una guía práctica para los gobiernos que desean recopilar, publicar y utilizar mejor los datos sobre la tierra para el bien público. Como Fase 1 de este proyecto, el equipo ha publicado el Informe sobre el Estado de la Información de la Tierra en Senegal (SOLI por sus siglas en inglés). Los informes SOLI son análisis basados en la investigación del estado actual de los datos sobre la tierra que evalúan la información disponible sobre la tierra en relación con las normas de datos abiertos. 

En el seminario web:

  • Se compartirán los últimos resultados del proyecto piloto de aplicación de la Guía Open Up en Senegal y las conclusiones del informe SOLI Senegal. 
  • Se plantearán y debatirán preguntas sobre el interés y la madurez de los datos abiertos en Senegal en relación con la tierra. 
  • Escuchar las perspectivas del gobierno de Senegal (ANAT, PROCASEF), los donantes (GIZ, Banco Mundial), los miembros de la comunidad local, utilizando estudios de casos específicos sobre los datos y las iniciativas de la tierra

 

Land Portal Foundation
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
Government of Senegal

Fundamentals of Machine Learning for Earth Science

19 Abril 2023 - 03 Mayo 2023

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.

 

Application of NASA SPoRT-Land Information System (SPoRT-LIS) Soil Moisture Data for Drought

16 Mayo 2023 - 30 Mayo 2023

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.

Assessing the Impacts of Fires on Watershed Health

05 Julio 2023 - 12 Julio 2023

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.

Transforming Earth Observation (EO) Data into Building Infrastructure Data Sets for Disaster Risk Modeling

02 Octubre 2023 - 09 Octubre 2023

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.

Land Rights for Sustainable Development - The Role of Data

16 Enero 2024
European Commission
Brussels
Belgium

Having secure land tenure, ensuring people's confidence in accessing, controlling and utilizing their land, is crucial for promoting sustainable land management practices. It also plays a key role in building resilience against the impacts of climate change, including extreme weather events, rising sea levels, and increased desertification due to higher temperatures.

International Land Coalition
Land Portal Foundation
Land Matrix
Prindex

Introduction to Lightning Observations and Applications

25 Marzo 2024 - 01 Abril 2024

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Introduction to Lightning Observations and Applications. This three-part, introductory training focuses on global and regional lightning data products that can be applied to disaster risk preparedness.

As the intensity and frequency of extreme weather events are likely to increase due to climate change impacts, lightning activity will likely increase as well, causing more power outages, increased risks of wildfire ignition, and increased numbers of injuries and fatalities. Therefore, information about lightning activity is critical for better preparedness against these disasters.

Earth Observations for Humanitarian Applications

05 Junio 2024 - 19 Junio 2024

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Earth Observations for Humanitarian Applications. Refugees, internally displaced people (IDPs), and other displaced populations are made more vulnerable to climate change impacts due to their socio-political marginalization. This three-part, intermediate training presents concrete strategies for mapping localized climate conditions with risks faced by refugee and IDP communities around the world.

The training will focus on flood risk assessments and specific challenges for assessing flood risk in refugee and IDP camps; gauging long-term heat stress in refugee camps and the challenges with decision making surrounding heat risk; and monitoring drought effects on agricultural landscapes in refugee settings using Earth observations (EO) to explore the correlations between anomalies in crop productivity and weather-based factors