The Symposium

EARSeL is a scientific network of European remote sensing laboratories, coming from both academia and the commercial/industrial sector, which covers all fields of geoinformation and earth observation through remote sensing.

Every year EARSeL organizes many thematic Workshops of all Special Interest Groups (SIGs), but the main meeting is the Symposium, which aims to indicate the current trends in remote sensing, but also development of the Association. During the Symposium, main decisions are made and a schedule of activities is established, each EARSeL member is encouraged to present their proposals for the organization of local meetings in the frame of the EARSeL.

All scientists, professionals and researchers involved or interested in the field of the symposium are strongly encouraged to present papers according to the following topics:

  • Scientific applications of remote sensing, emerging methods and technologies,
  • Education and training in school, university, and public life,
  • Capacity building at organisations and authorities involved in environmental monitoring and protection,
  • Activities dealing with natural and cultural heritage,
  • Remote sensing for archaeology,
  • Land use and land cover, degradation and desertification,
  • Urban remote sensing,
  • Oceans, coastal zones and inland waters,
  • Natural and man-made disasters,
  • Forestry and forest fires,
  • Applications related to assist developing countries: mapping, monitoring and change analysis,
  • Remote sensing and its associated support to the understanding of climate change,
  • Hydrological applications: water management, underground water sources, land ice and snow,
  • 3D remote sensing, Radar, Lidar, Thermal Remote Sensing,
  • New instruments and methods, including ground truth,
  • Remote sensing technology,
  • Application of hyperspectral images,
  • Unmanned Aerial Vehicle (UAV) from theory to application,
  • Remote sensing applications for Natura2000 areas, grasslands, wetlands and agriculture,
  • Novel techniques of image processing, classification and change detection,
  • New ideas ….