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

3296
1693 downloads

PDF (ES)

Invited articles

1-14

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

6444
2652 downloads

Invited articles

15-25

Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods

R. Valbuena, M. Maltamo, P. Packalen

5415
2330 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

2389
1739 downloads

Special issue: Active Remote Sensing in Forest Applications

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

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

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

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