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This journal is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Full Issue
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
- 4577
- 1999 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
- 5558
- 1647 downloads
Research articles
57-69
Characterization of wildland-urban interfaces using LiDAR data to estimate the risk of wildfire damage
- 2714
- 1626 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
- 3171
- 1592 downloads
Invited articles
1-14
A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models
- 6217
- 2552 downloads
Invited articles
15-25
Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods
- 5207
- 2250 downloads
Practical cases
87-94
Combined use of LIDAR and hyperspectral measurements for remote sensing of fluorescence and vertical profile of canopies
- 2263
- 1667 downloads
