Special issue: Active Remote Sensing in Forest Applications

Special issue: Active Remote Sensing in Forest Applications

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Table of Contents

Invited articles

A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models
J. C. Vogeler, W. B. Cohen
PDF
1-14
Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods
R. Valbuena, M. Maltamo, P. Packalen
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15-25

Research articles

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
PDF
27-40
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
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41-55
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
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57-69
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
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71-86

Practical cases

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
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87-94


 

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Universitat Politècnica de València

Official Journal of the Spanish Association of Remote Sensing

e-ISSN: 1988-8740    ISSN: 1133-0953           https://doi.org/10.4995/raet