Comunicacions a congressos (Química, Física, Ciències Ambientals i del Sòl)

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Now showing 1 - 5 of 13
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    Aplicaciones de la teledetección en la caracterización de frutales y en la fertilización de cultivos extensivos
    (2021) Martínez Casasnovas, José Antonio; Arnó Satorra, Jaume; Daniele, Elisa; Escolà i Agustí, Alexandre; Sandonís Pozo, Leire; Llorens Calveras, Jordi; Rosell Polo, Joan Ramon; Uribeetxebarria Alonso de Armiño, Asier
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    Assessment of different N treatments in Hedgerow Almond Orchards by means of LiDAR point clouds
    (2022) Sandonís Pozo, Leire; Llorens Calveras, Jordi; Escolà i Agustí, Alexandre; Arnó Satorra, Jaume; Pascual Roca, Miquel; Martínez Casasnovas, José Antonio
    Monitoring of canopy status in fruit tree orchards allows better decisions in the canopy management, such as pruning or fertirrigation. LiDAR is an effective tool to acquire accurate 3D geometric and structural data, such as height, width, volume or canopy porosity, among others. In the present work, a super-intensive almond orchard (Prunus Dulcis) with 8 different N treatments (N50, N100, N150, NStop: N100 only in Fase I and with and without DMPSA nitrification inhibitor in 24 rows and 3 blocks, was scanned during three years (2019-21) in two different vegetative stages (after spring pruning and before harvesting) by means of a terrestrial LiDAR scanner. Canopy parameters such maximum height and width, cross section and porosity were summarized from the LiDAR 3D point cloud every 0.5 m along the almond tree hedgerows. A repeated measure mixed statistical model was applied to each parameter in order to assess the effect of the N treatments. The adjusted R2 ranged from 0.73 of the canopy width to 0.83 of the porosity. Canopy parameters and their main interactions with the different treatments were significantly differentiated. The N100+DMPSA treatment was the one favoring higher canopy development (higher cross sections and widths, and less porosity), while the NStop+DMPSA treatment was related to lower canopy development and higher porosity.
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    Análisis del dosel foliar de setos olivo mediante LiDAR y su relación con la productividad y atributos de calidad del aceite
    (2022) Sandonís Pozo, Leire; Arnó Satorra, Jaume; Rufat i Lamarca, Josep; Villar Mir, Josep Ma.; Martínez Casasnovas, José Antonio; Pascual Roca, Miquel
    La gestión del cultivo del olivo, particularmente en condiciones superintensivas, es clave para alcanzar la productividad y la calidad del aceite necesarias para mantener las expectativas económicas de las explotaciones. En este sentido, los sensores LiDAR (Light Detection And Ranging) pueden aportar la información necesaria para cuantificar las características geométricas y estructurales del dosel foliar de las plantaciones. El presente trabajo se ha realizado en una plantación comercial superintensiva de olivo, variedad “Arbequina”, en la que se diseñó un experimento con diferentes dosis de nitrógeno y de riego (desde condiciones deficitarias en diferentes períodos hasta riego completo), cruzado con dosis de N subóptimas y suficientes. Los resultados obtenidos del análisis LiDAR permiten estimar adecuadamente el volumen de los árboles y la porosidad del dosel, pudiendo relacionar estos indicadores con diversos e importantes atributos cuantitativos (producción, crecimiento vegetativo y frondosidad del seto), y cualitativos del aceite obtenido (MUFA, PUFA, estabilidad, polifenoles y esteroles).
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    Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards
    (2021) Llorens Calveras, Jordi; Alsina Tehàs, Albert; Arnó Satorra, Jaume; Martínez Casasnovas, José Antonio; Escolà i Agustí, Alexandre
    An analysis of data obtained by a LiDAR sensor was carried out. The sensor uses 16 laser beams and was moved along super-intensive almond orchard alleyways to obtain a 3D point cloud. Different beam combinations were used to obtain three geometrical crop parameters: canopy height, width and cross-sectional area. The parameters were computed using a single central beam, a combination of the two outer beams and all 16 beams. The results showed statistically significant differences in width and cross-sectional area when using one, two or sixteen beams. The more the laser beams considered, the larger the canopy width and cross-sectional area. 28-33% larger width was obtained in comparison to the central beam whereas the cross-sectional area was doubled when all beams were considered.
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    NDVI from satellite images to estimate LiDAR-derived geometric and structural parameters in super-intensive almond orchards
    (2021) Martínez Casasnovas, José Antonio; Llorens Calveras, Jordi; Sandonís Pozo, Leire; Escolà i Agustí, Alexandre; Arnó Satorra, Jaume
    The present work tries to bridge a gap about the estimation of geometric and structural orchard parameters (LiDAR-derived) from vegetation indices from satellites. The maximum height and width, the cross-sectional area and the porosity were measured along the rows in a super-intensive almond (Prunus dulcis) orchard every 0.5 m by means of a Velodyne VLP16 LiDAR sensor. These parameters were interpolated to the pixel centroids of PlanetScope and Sentinel-2 and correlated with the normalized difference vegetation index (NDVI) from both platforms. The highest correlations were obtained between the NDVI of PlanetScope images and the cross-sectional area of the almond trees (R=0.72) and with the maximum width of the cross-sections (R=0.71). The results can be useful to estimate important canopy geometric parameters for site-specific management of orchards.