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Mostrando ítems 6-7 de 7

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

Valbuena, R.; Maltamo, M.; Packalen, P. (Universitat Politècnica de València, 2016-02-26)

[EN] The area-based method has become a widespread approach in airborne laser scanning (ALS), being mainly employed for the estimation of continuous variables describing forest attributes: biomass, volume, density, etc. ...
A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models

Vogeler, J. C.; Cohen, W. B. (Universitat Politècnica de València, 2016-02-26)

[EN] Spatially explicit maps of wildlife habitat relationships have proven to be valuable tools for conservation and management applications including evaluating how and which species may be impacted by large scale climate ...

Mostrando ítems 6-7 de 7