Remote sensing for land administration
We are pleased to share an article by Mila Koeva (part of the MLUMSE project team), Rohan Bennett and Claudio Persello, published in GIM International.
We are pleased to share an article by Mila Koeva (part of the MLUMSE project team), Rohan Bennett and Claudio Persello, published in GIM International.
From 15 to 19 June 2026, the 2nd Theme-Based Training of the Erasmus+ CBHE MLUMSE project is taking place at the University of Twente in Enschede, the Netherlands.
On May 14th in Zagreb has been organized by the Ministry of Education, Science and Youth and European Space Agency the seminar โUnlocking the value of Spaceโ dedicated to presenting the possibilities of applying data collected from space (Earth Observation) in the work of the Croatian public administration.
We are pleased to invite you to an engaging webinar organized within the framework of the MLUMSE project, in collaboration with the Faculty of Sciences Agadir and Ibn Zohr University: ๐๐ ๐๐ด๐ฒ๐ป๐๐: ๐๐ฎ๐๐ถ๐ฐ๐ ๐ฎ๐ป๐ฑ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐ถ๐ป ๐๐ฒ๐ผ๐๐ฝ๐ฎ๐๐ถ๐ฎ๐น ๐๐ป๐ฎ๐น๐๐๐ถ๐
As part of the MLUMSE project activities, we are pleased to invite you to a webinar entitled: Advanced hashtag#AI hashtag#Models for Weather Forecasting and Disaster Response
The second โEgypt Digital Twin 2026โ was held in Cairo on 22 April 2026. Our colleague, Amr Hanafi Ali, participated in the conference as a keynote speaker and panellist.
This session will explore how satellite technologies and geospatial intelligence are used to monitor, analyze, and manage water resources. It offers valuable insights into innovative solutions for environmental sustainability and resource management.
This session will explore key GIS concepts, practical tools, and real-world applications across various fields. Whether you're a student, researcher, or professional, this webinar is a great opportunity to deepen your understanding of GIS.
Newsletter 6 is now available. Find out news from the project consortium.
As part of the MLUMSE project activities, we are pleased to announce a hands-on workshop entitled: โGeospatial Data and Machine Learning for Climate and Environmental Applicationsโ