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Browsing by Subject "Airborne laser scanning"

Now showing items 1-9 of 9

Analysis of airborne LiDAR data for estimation of tree height, DBH and tree volume

Beth, Roberto Tjesse (Universitat Politècnica de València, 2014-02-19)

In this bachelor work we present a study on the efficiency of multi-return LiDAR (Light Detection and Ranging) data in the estimation of mensuration parameters in the forest of Krtiny. The goals of this study are (1) ...
Analyzing the role of pulse density and voxelization parameters on full-waveform LiDAR-derived metrics

Crespo-Peremarch, Pablo; Ruiz Fernández, Luis Ángel; Balaguer-Beser, Ángel; Estornell Cremades, Javier (Elsevier, 2018)

[EN] LiDAR full-waveform (LFW) pulse density is not homogeneous along study areas due to overlap between contiguous flight stripes and, to a lesser extent, variations in height, velocity and altitude of the platform. As a ...
Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis

Hadas, Edyta; Borkowski, Andrzej; Estornell Cremades, Javier; Tymkow, Przemyslaw (Taylor & Francis, 2017)

[EN] The aim of this study is to present an automatic approach for olive tree dendrometric parameter estimation from airborne laser scanning (ALS) data. The proposed method is based on a unique combination of the alpha-shape ...
Characterizing understory vegetation in Mediterranean forests using full-waveform airborne laser scanning data

Crespo-Peremarch, Pablo; Tompalski, P.; Coops, N.C.; Ruiz Fernández, Luis Ángel (Elsevier, 2018)

[EN] The use of laser scanning acquired from the air, or ground, holds great potential for the assessment of forest structural attributes, beyond conventional forest inventory. The use of full-waveform airborne laser ...
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. ...
Comparing the generation of DTM in a forest ecosystem using TLS, ALS and UAV-DAP, and different software tools

Crespo-Peremarch, P.; Torralba, Jesús; Carbonell-Rivera, Juan Pedro; Ruiz Fernández, Luis Ángel (ISPRS, 2020-09-02)

[EN] Remote sensing and photogrammetry techniques have demonstrated to be an important tool for the characterization of forest ecosystems. Nonetheless, the use of these techniques requires an accurate digital terrain model ...
Estimación de la distribución vertical de combustibles finos del dosel de copas en masas de Pinus sylvestris empleando datos LiDAR de baja densidad

Fidalgo-González, L. A.; Arellano-Pérez, S.; Álvarez-González, J. G.; Castedo-Dorado, F.; Ruiz-González, A. D.; González-Ferreiro, E. (Universitat Politècnica de València, 2019-06-27)

[EN] Canopy fuel load, canopy bulk density and canopy base height are structural variables used to predict crown fire initiation and spread. Direct measurement of these variables is not functional, and they are usually ...
Evaluación del uso de LiDAR discreto, full-waveform y TLS en la clasificación por composición de especies en bosques mediterráneos

Torralba, J.; Crespo-Peremarch, P.; Ruiz, L. A. (Universitat Politècnica de València, 2018-12-26)

[EN] LiDAR technology –airborne and terrestrial- is becoming more relevant in the development of forest inventories, which are crucial to better understand and manage forest ecosystems. In this study, we assessed a ...
Tree extraction and estimation of walnut structure parameters using airborne LiDAR data

Estornell Cremades, Javier; Hadas, E.; Marti-Gavila, Jesus; López- Cortés, I (Elsevier, 2021-04)

[EN] The development of new tools based on remote sensing data in agriculture contributes to cost reduction, increased production, and greater profitability. Airborne LiDAR (Light Detection and Ranging) data show a significant ...