Susana Martín-Fernández

TL;DR: In this article, a two-stage approach for characterizing the structure of Pinus sylvestris L. stands in forests of central Spain is presented, where the first stage is to delimit forest stands using eCognition and a digital canopy height model (DCHM) derived from lidar data.

TL;DR: In this article, the mean and standard deviation (SD) of LiDAR-derived canopy height are related to forest structure and spectral indices were obtained from three Landsat scenes.

TL;DR: In this article, the incorporation of complementary multispectral information from optical sensors to Light Detection and Ranging (LiDAR) may be advantageous, especially through data fusion by back-projecting the LiDAR points onto the multi-spectral image.

TL;DR: In this paper, a thorough understanding on the relations between airborne laser scanning (ALS) metrics and indicators based on Lorenz curve ordering was achieved, including Gini coefficient (GC) and Lorenz asymmetry (S).

TL;DR: It is proposed that active carbonate is a major factor in the fruiting and aggressiveness of T. melanosporum versus T. aestivum and T. mesentericum and could have applications in natural harvesting and truffle culture.