Special issue: Active Remote Sensing in Forest Applications

Special issue: Active Remote Sensing in Forest Applications
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Special issue: Active Remote Sensing in Forest Applications

Published: 2016-02-26

Research articles
27-40

A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data

P. Crespo-Peremarch, L.A. Ruiz, Ángel Balaguer-Beser
  • 4421
  • 1870 downloads
Research articles
41-55

Modelling canopy fuel and forest stand variables and characterizing the influence of thinning in the stand structure using airborne LiDAR

A. Hevia, J.G. Álvarez-González, E. Ruiz-Fernández, C. Prendes, A.D. Ruiz-González, J. Majada, E. González-Ferreiro
  • 5385
  • 1549 downloads
Research articles
57-69

Characterization of wildland-urban interfaces using LiDAR data to estimate the risk of wildfire damage

A. Robles, M.A. Rodríguez-Garrido, M. F. Alvarez-Taboada
  • 2604
  • 1576 downloads
Research articles
71-86

Determination of forest biomass using remote sensing techniques with radar images. Pilot study in area of the province of Huelva. REDIAM

E. Méndez, J.J. Vales, I. Pino, L. Granado, G. Montoya, R. Prieto Molina, I.R. Carpintero, F. Giménez de Azcárate, F. Cáceres, J.M. Moreira, D. de la Fuente, A. Sebastián, J. Suárez
  • 3072
  • 1540 downloads
Practical cases
87-94

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

A. Ounis, J. Bach, A. Mahjoub, F. Daumard, I. Moya, Y. Goulas
  • 2170
  • 1627 downloads