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Browsing by Author "Crespo Peremarch, Pablo"

Now showing items 1-11 of 11

A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data

Crespo-Peremarch, Pablo; Fournier, Richard A.; Nguyen, Van-Tho; van Lier, Olivier R.; Ruiz Fernández, Luis Ángel (Elsevier, 2020-10-01)

[EN] Laser scanning has the potential to accurately detect the vertical distribution of forest vegetative components. However, limitations are present and vary according to the system's platform (i.e., terrestrial or ...
A full-waveform airborne laser scanning metric extraction tool for forest structure modelling. Do scan angle and radiometric correction matter?

Crespo-Peremarch, Pablo; Ruiz Fernández, Luis Ángel (MDPI AG, 2020-01)

[EN] In the last decade, full-waveform airborne laser scanning (ALSFW) has proven to be a promising tool for forestry applications. Compared to traditional discrete airborne laser scanning (ALSD), it is capable of registering ...
An object-based approach for mapping forest structural types based on low-density LiDAR and multispectral imagery

Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Crespo-Peremarch, Pablo; Sapena, Marta (Taylor & Francis, 2018)

[EN] Mapping forest structure variables provides important information for the estimation of forest biomass, carbon stocks, pasture suitability or for wildfire risk prevention and control. The optimization of the prediction ...
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 ...
Análisis de minería de datos para la clasificación de imágenes aéreas

Crespo Peremarch, Pablo (Universitat Politècnica de València, 2015-06-17)

[EN] This project tries to improve the land cover classification of aerial images using data mining. A comparison of some data mining techniques is done so as to classify urban and peri-urban areas, using the image ...
Automated classification of crop types and condition in a mediterranean area using a fine-tuned convolutional neural network

Ruiz Fernández, Luis Ángel; Almonacid-Caballer, J.; Crespo-Peremarch, P.; Recio Recio, Jorge Abel; Pardo Pascual, Josep Eliseu; Sánchez-García, Elena (ISPRS, 2020-09-02)

[EN] Crop classification based on satellite and aerial imagery is a recurrent application in remote sensing. It has been used as input for creating and updating agricultural inventories, yield prediction and land management. ...
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 UAV-based photogrammetric point clouds of riverine species using machine learning algorithms: a case study in the Palancia river, Spain

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

[EN] The management of riverine areas is fundamental due to their great environmental importance. The fast changes that occur in these areas due to river mechanics and human pressure makes it necessary to obtain data with ...
Comparing the generation of DTM in a forest ecosystem using TLS, ALS and UAV-DAP, and different software tools

Crespo-Peremarch, P.; Torralba, J.; 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 ...
Processing and analysis of airborne full-waveform laser scanning data for the characterization of forest structure and fuel properties

Crespo-Peremarch, P.; Ruiz, L. A. (Universitat Politècnica de València, 2020-12-28)

[EN] This PhD thesis addresses the development of full-waveform airborne laser scanning (ALSFW) processing and analysis methods to characterize the vertical forest structure, in particular the understory vegetation. In ...
Processing and analysis of airborne fullwaveform laser scanning data for the characterization of forest structure and fuel properties

Crespo Peremarch, Pablo (Universitat Politècnica de València, 2020-10-30)

[ES] Esta tesis aborda el desarrollo de métodos de procesado y análisis de datos ALSFW para la caracterización de la estructura vertical del bosque y, en particular, del sotobosque. Para responder a este objetivo general, ...