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THERMOLIDAR

Financiado

Cerrado

A new tool for sustainable forest management based on LiDAR Laser Imaging Detec...

A new tool for sustainable forest management based on LiDAR Laser Imaging Detection And Ranging and THERMAL data integration THEMOLiDAR project propose the application of advance technologies and methods aimed at increasing efficiency, productivity and reliability of forest exploitation to ensure sustainable forest management. Traditionally, forest mana... ver más

30/09/2014

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

AF ACCION FORESTAL SL No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 4 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2014-09-30 No tenemos la información de la convocatoria

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

4 Participantes

370.86K€ | Lider

FORESTRY COMMISSION RESEARCH...

N.D. | Participante

UCO

N.D. | Participante

OY ARBONAUT LTD

N.D. | Participante

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Líder del proyecto

AF ACCION FORESTAL SL No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto THEMOLiDAR project propose the application of advance technologies and methods aimed at increasing efficiency, productivity and reliability of forest exploitation to ensure sustainable forest management. Traditionally, forest management has been performed based on forest inventory measured in the field using hand-held equipment. These methodologies are expensive and have very low efficiency. In a global change scenario context, current forest inventories should include further information related with the status of the health and the dynamic trends of the forest. The detection of predictive physiological variables such us water stress link to accurate structural information must be considered as key solution for the assessment, management and exploitation of forest. The use of new technologies to estimate physiological and structural data is critical to optimize the costs related to traditional forest inventories. The integrated estimation of structural and physiological variables in European forest inventories can provide a substantial leap forward in the way we assess forest condition and as a guide to inform decisions. In this area, the combined use of remote sensing tools with field methods will enhance the quality and the extent of our knowledge about our forest resources. The main objective of THEMOLiDAR is the combination of airborne LiDAR with THERMAL data sets to determine structural information of tree, canopy organization and physiological variables obtained at the scale of individual trees in order to implement monitoring capabilities over large areas. This approach is essential in a context of climate change to evaluate and support forest management practices as described in forest predictive models. The THERMOLiDAR project will aim at the development of software capable of processing both LiDAR and THERMAL imagery as an operational tool for the SMEs participants.

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