Publicaciones en colaboración con investigadores/as de Universidad de León (20)

2024

  1. A Handheld Laser-Scanning-Based Methodology for Monitoring Tree Growth in Chestnut Orchards

    Sensors, Vol. 24, Núm. 6

2021

  1. Influence of the Number and Spatial Distribution of Ground Control Points in the Accuracy of UAV-SfM DEMs: An Approach Based on Generalized Additive Models

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, Núm. 12, pp. 10618-10627

2020

  1. Evaluating Lightning-Caused Fire Occurrence Using Spatial Generalized Additive Models: A Case Study in Central Spain

    Risk Analysis, Vol. 40, Núm. 7, pp. 1418-1437

2018

  1. Accuracy of Unmanned Aerial Vehicle (UAV) and SfM photogrammetry survey as a function of the number and location of ground control points used

    Remote Sensing, Vol. 10, Núm. 10

  2. Comparing terrestrial laser scanning (TLS) and wearable laser scanning (WLS) for individual tree modeling at plot level

    Remote Sensing, Vol. 10, Núm. 4

  3. Determining optimum wavelengths for leaf water content estimation from reflectance: A distance correlation approach

    Chemometrics and Intelligent Laboratory Systems, Vol. 173, pp. 41-50

  4. Leaf water content estimation by functional linear regression of field spectroscopy data

    Biosystems Engineering, Vol. 165, pp. 36-46

2017

  1. Automatic detection and classification of pole-like objects for urban cartography using mobile laser scanning data

    Sensors (Switzerland), Vol. 17, Núm. 7

  2. Vineyard zone delineation by cluster classification based on annual grape and vine characteristics

    Precision Agriculture, Vol. 18, Núm. 4, pp. 525-573

2016

  1. Biophysical and lightning characteristics drive lightning-induced fire occurrence in the central plateau of the Iberian Peninsula

    Agricultural and Forest Meteorology, Vol. 225, pp. 36-47

  2. Deformation analysis in tunnels through curve clustering

    Applied Mathematical Modelling, Vol. 40, Núm. 2, pp. 1325-1332

  3. Hybrid ABC optimized MARS-based modeling of the milling tool wear from milling run experimental data

    Materials, Vol. 9, Núm. 2

2013

  1. A Bootstrap-Based Covariate Selection Method for Modeling the Risk of Lightning-Induced Fires at a Local Scale: A Case Study in Northwest Spain

    Human and Ecological Risk Assessment, Vol. 19, Núm. 1, pp. 254-267

  2. Analysis of the influence of forestry environments on the accuracy of GPS measurements by means of recurrent neural networks

    Mathematical and Computer Modelling, Vol. 57, Núm. 7-8, pp. 2016-2023

  3. Using hyperspectral spectrometry and functional models to characterize vine-leaf composition

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, Núm. 5, pp. 2610-2618

2012

  1. Using model-based geostatistics to predict lightning-caused wildfires

    Environmental Modelling and Software, Vol. 29, Núm. 1, pp. 44-50

2011

  1. Analysis of the influence of forest environments on the accuracy of GPS measurements by using genetic algorithms

    Mathematical and Computer Modelling, Vol. 54, Núm. 7-8, pp. 1829-1834

  2. Detection of outliers in gps measurements by using functional-data analysis

    Journal of Surveying Engineering, Vol. 137, Núm. 4, pp. 150-155

  3. Machine learning techniques applied to the assessment of gps accuracy under the forest canopy

    Journal of Surveying Engineering, Vol. 137, Núm. 4, pp. 140-149

2010

  1. Functional statistical techniques applied to vine leaf water content determination

    Mathematical and Computer Modelling, Vol. 52, Núm. 7-8, pp. 1116-1122