The European Space Agency is organizing a new series of regular advanced
thematic training courses. These trainings - covering initially ocean, land and
atmosphere applications - are hosted in European Universities, with the host
country rotating among the ESA Member States.
The series was initiated by an advanced Ocean remote sensing
training course which took place in Hamburg, Germany, in September 2006.
The second training was devoted to the exploitation of Earth
Observation data from ESA and Third Party Mission instruments for land
applications, with a focus on applications over Europe. The training course was held in Lisbon,
Portugal, from 2 to 7 September 2007. It was hosted by the Instituto
Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa (ISEGI-UNL), with
coordination support from the Remote Sensing Unit of the Portuguese Geographic
Geográfico Português, IGP).
an advanced training course, it was targeted to the European and Canadian
research and development community, in particular post-doc researchers as well
as masters and PhD students.
The specific objectives of the advanced land training course were
Stimulate and support the exploitation of ESA EO and
Third Party Mission (TPM) remote sensing data for land applications;
Introduce available tools and methods for the exploitation
of ERS, Envisat, TPM and Explorers satellite data;
Train the next generation of European and Canadian Principal
EOPI portal: gate to
The 2007 land training course addressed both Radar and Optical/Thermal remote
sensing and focused on GMES land thematic priorities:
- Land resources (forestry, agriculture, land cover and land use);
- Disasters (fires, floods, terrain motion);
- Water resources (water availability).
It included lectures by leading scientists as well as hands-on computing
exercises exposing students to remote sensing applications and illustrating the
use of specific software tools for the exploitation of EO data, with a focus on
Envisat and ERS data products for land applications (e.g. (A)SAR, MERIS and