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Revista de Teledetección - Special Issue (2016)

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Revista de Teledetección - Special Issue (2016)


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Invited articles

  • A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models
  • Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods

Research articles

  • A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data
  • Modelling canopy fuel and forest stand variables and characterizing the influence of thinning in the stand structure using airborne LiDAR
  • Characterization of wildland-urban interfaces using LiDAR data to estimate the risk of wildfire damage
  • Determination of forest biomass using remote sensing techniques with radar images. Pilot study in area of the province of Huelva. REDIAM

Practical cases

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

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