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LINHE Project: Development of new protocols for the integration of digital cameras and LiDAR, NIR and Hyperspectral sensors.

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Antolin Sánchez, Roberto and Calzado-Martínez, C. and Gómez, A. and Manzanera, J.A. and Meroño, J.E. and Pedrazzani, D. and Pérez,, H.H. and Roldán-Zamarrón, A. and Santos, I. and Valbuena, R. (2008) LINHE Project: Development of new protocols for the integration of digital cameras and LiDAR, NIR and Hyperspectral sensors. In Proceedings of SilviLaser 2008: 8th International Conference on LiDAR Applications in Forest Assessment and Inventory. Bournemouth : SilviLaser 2008 Organizing Committee, 2008, Edinburgh, UK, pp. 355-364. ISBN 978-08-5538-774-7

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Official URL: http://geography.swan.ac.uk/silvilaser/papers/poster_papers/Antolin.pdf



Abstract

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.


Item Type:Book Section
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http://oa.upm.es/3103/

Uncontrolled Keywords:LiDAR; Digital photogrammetric Camera; Hyperspectral spaceborne sensors; Land NIR sensor; Forest inventory
Subjects:Sciences > Physics
ID Code:21922
Deposited On:18 Jun 2013 07:06
Last Modified:18 Nov 2016 11:27

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