The LINHE project aims to develop applications for forest management based on the combined use of LiDAR data, images from spaceborne (multi and hyperspectral) and airborne sensors (panchromatic, colour, near infrared), and NIR field data from a portable sensor. The integration of the different types of data should be performed in a rapid, intuitive, cost-effective and dynamic way. In order to achieve this objective, new algorithms were developed and existing ones were tested, for the correlation of data collected in the field and those gathered by the different sensors. Specific software (LINHE prototype viewer) was developed to support data gathering and consultations, and it was tested in three different forest ecosystems, so as to validate the tool for forest management purposes. The optimisation of the synergic capabilities derived from the combined use of the different sensors will allow the enhancement of their efficiency and provide accurate information for operational forestry.
PROJECT FIT-330221-2006-10. MITYC. EUREKA Project: Euroforest: RU-119.
Spanish National Program for Technology and Electronic Communications – Subprogram of National Communication Technologies, into the Spanish National Plan of R&D (2004-2007), Dedicated to promote the technical research. (Resolution of February 24th, 2006, the Secretary of State for Telecommunications and Information Society, BOE No. 53, March 3, 2006)
STEREOCARTO SL (Spain)
GMV S.A (Spain)
Universidad de Cordoba (Spain)
UPM - Engineering School of Forestry (Spain)
To design and develop a framework able to integrate and analyze georeferenced data obtained by means of different sensors located in airborne, terrestrial and satellite platforms:
* VIS, NIR
* Thermal sensor,
* Airborne laser scanner (LiDAR),
* Digital camera,
* Hyperspectral sensors.
* Allow the integration of data from different sensors with different resolutions, in a rapid, intuitive, cost-effective and dynamic way.
* Develop new algorithms for data correlation
* Validate the new implemented tool to prove its relevance and viability in the management of forest ecosystems.