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  Combined use of LIDAR and hyperspectral measurements for remote sensing of fluorescence and vertical profile of canopies 

  Ounis, A.; Bach, J.; Mahjoub, A.; Daumard, F.; Moya, I.; Goulas, Y. (Universitat Politècnica de València, 2016-02-26)

  [EN] We report the development of a new LIDAR system (LASVEG) for airborne remote sensing of chlorophyll fluorescence (ChlF) and vertical profile of canopies. By combining laser-induced fluorescence (LIF), sun-induced ...
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  Determination of forest biomass using remote sensing techniques with radar images. Pilot study in area of the province of Huelva. REDIAM 

  Méndez, E.; Vales, J. J.; Pino, I.; Granado, L.; Montoya, G.; Prieto, R.; Carpintero, I. R.; Giménez de Azcárate, F.; Cáceres, F.; Moreira, J. M.; de la Fuente, D.; Sebastián, A.; Suárez, J. (Universitat Politècnica de València, 2016-02-26)

  [EN] Biomass is a very important forest resource in Andalusia. “Forest Biomass in Andalusia” web tool, developed by the Andalusian Government, provides information about the location and biomass stock for the main pine ...
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  Characterization of wildland-urban interfaces using LiDAR data to estimate the risk of wildfire damage 

  Robles, A.; Rodríguez-Garrido, M. A.; Alvarez-Taboada, M. F. (Universitat Politècnica de València, 2016-02-26)

  [EN] Galicia is a region in NW Spain which is usually affected by a high number of forest fires, and it should meet the current regulations regarding the distance between forests and buildings. This paper aims to identify ...
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  Modelling canopy fuel and forest stand variables and characterizing the influence of thinning in the stand structure using airborne LiDAR 

  Hevia, A.; Álvarez-González, J. G.; Ruiz-Fernández, E.; Prendes, C.; Ruiz-González, A. D.; Majada, J.; González-Ferreiro, E. (Universitat Politècnica de València, 2016-02-26)

  [EN] Forest fires are a major threat in NW Spain. The importance and frequency of these events in the area suggests the need for fuel management programs to reduce the spread and severity of forest fires. Thinning treatments ...
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  A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data 

  Crespo-Peremarch, P.; Ruiz, L.A.; Balaguer-Beser, A. (Universitat Politècnica de València, 2016-02-26)

  [EN] Regression methods are widely employed in forestry to predict and map structure and canopy fuel variables. We present a study where several regression models (linear, non-linear, regression trees and ensemble) were ...

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