Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Pablo Crespo-Peremarch"'
Autor:
Aline D. Jacon, Lênio Soares Galvão, Rorai Pereira Martins-Neto, Pablo Crespo-Peremarch, Luiz E. O. C. Aragão, Jean P. Ometto, Liana O. Anderson, Laura Barbosa Vedovato, Celso H. L. Silva-Junior, Aline Pontes Lopes, Vinícius Peripato, Mauro Assis, Francisca R. S. Pereira, Isadora Haddad, Catherine Torres de Almeida, Henrique L. G. Cassol, Ricardo Dalagnol
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2085 (2024)
Full-waveform LiDAR (FWF) offers a promising advantage over other technologies to represent the vertical canopy structure of secondary successions in the Amazon region, as the waveform encapsulates the properties of all elements intercepting the emit
Externí odkaz:
https://doaj.org/article/7e8265c7225f433392ca3cbd7edced69
Publikováno v:
Forests, Vol 13, Iss 12, p 2115 (2022)
In recent decades, the feasibility of using terrestrial laser scanning (TLS) in forest inventories was investigated as a replacement for time-consuming traditional field measurements. However, the optimal acquisition of point clouds requires the defi
Externí odkaz:
https://doaj.org/article/f8f3501d32894bc8a620806b8ae732f7
Autor:
Juan Pedro Carbonell-Rivera, Jesús Torralba, Javier Estornell, Luis Ángel Ruiz, Pablo Crespo-Peremarch
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 199 (2022)
Modelling fire behaviour in forest fires is based on meteorological, topographical, and vegetation data, including species’ type. To accurately parameterise these models, an inventory of the area of analysis with the maximum spatial and temporal re
Externí odkaz:
https://doaj.org/article/1dc118a9208d4bc2b308a751d6526a28
Autor:
Pablo Crespo-Peremarch, Luis A. Ruiz
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 292 (2020)
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 the complete signal going thr
Externí odkaz:
https://doaj.org/article/be35956ced1545a99279a7276fa1c4ed
Publikováno v:
Proceedings, Vol 19, Iss 1, p 6 (2019)
Airborne full-waveform LiDAR (ALSFW) is able to register forest structure properties, essential for fire prevention, in more detail than airborne discrete LiDAR (ALSD). However, few studies have analyzed ALSFW methodological parameters (i.e., voxel s
Externí odkaz:
https://doaj.org/article/878a913bb03d41debf538707282e5a1c
Autor:
Jaime Almonacid-Caballer, Josep E. Pardo-Pascual, Luis A. Ruiz, Pablo Crespo-Peremarch, J. A. Recio, Elena Sánchez-García
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1061-1068 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[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. In the context of the Com
Autor:
Javier Estornell, Pablo Crespo-Peremarch, Luis A. Ruiz, Jesús Torralba Pérez, Juan Pedro Carbonell-Rivera
Publikováno v:
Remote Sensing; Volume 14; Issue 1; Pages: 199
Remote Sensing, Vol 14, Iss 199, p 199 (2022)
Remote Sensing, Vol 14, Iss 199, p 199 (2022)
[EN] Modelling fire behaviour in forest fires is based on meteorological, topographical, and vegetation data, including species¿ type. To accurately parameterise these models, an inventory of the area of analysis with the maximum spatial and tempora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3f67f6663dbee6dcdd2f93886f7878d
https://hdl.handle.net/10251/193327
https://hdl.handle.net/10251/193327
Autor:
Luis A. Ruiz, Olivier R. van Lier, Van-Tho Nguyen, Richard A. Fournier, Pablo Crespo-Peremarch
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[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 airborne) and recording method (i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7453dc7789768e2f362c0e1f31e40067
http://hdl.handle.net/10251/166015
http://hdl.handle.net/10251/166015
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[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 models of these variables
Autor:
Luis A. Ruiz, Pablo Crespo-Peremarch
Publikováno v:
Proceedings, Vol 19, Iss 1, p 6 (2019)
Airborne full-waveform LiDAR (ALSFW) is able to register forest structure properties, essential for fire prevention, in more detail than airborne discrete LiDAR (ALSD). However, few studies have analyzed ALSFW methodological parameters (i.e., voxel s