Enginyeria Agroforestal
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Spatial predictions of human and natural-caused wildfire likelihood across Montana (USA)
(MDPI, 2022)Spatial wildfire ignition predictions are needed to ensure efficient and effective wildfire response, and robust methods for modeling new wildfire occurrences are ever-emerging. Here, ignition locations of natural and ... -
Trajectories of wildfire behavior under climate change. Can forest management mitigate the increasing hazard?
(Elsevier, 2022)Mediterranean forests and fire regimes are closely intertwined. Global change is likely to alter both forest dynamics and wildfire activity, ultimately threatening the provision of ecosystem services and posing greater ... -
Metodología para el análisis de los errores y validación de nubes de puntos 3D obtenidas en campo para la caracterización de la arquitectura de árboles frutales
(2021)El estudio de la estructura de la planta (índice de área foliar, porosidad del dosel, densidad foliar, arquitectura leñosa y sistema de entrenamiento) y de su geometría (tamaño, forma y volumen) es básico para realizar ... -
R software code to process and extract information from 3D Lidar point clouds
(2019)In the process of electronic canopy characterization, it is necessary to process efficiently point clouds obtained by means of sensors or other capturing information systems. These point clouds may have different origin ... -
Perceptions of Heat Stress, Heat Strain and Mitigation Practices in Wildfire Suppression across Southern Europe and Latin America
(MDPI, 2022)This study aimed to assess current perceptions of heat stress, heat strain, acclimatisation and recovery practices in wildland fire suppression. A total of 1459 wildfire and structural firefighters, all involved in wildland ... -
Coupled effects of climate teleconnections on drought, Santa Ana winds and wildfires in southern California
(Elsevier, 2021)Projections of future climate change impacts suggest an increase of wildfire activity in Mediterranean ecosystems, such as southern California. This region is a wildfire hotspot and fire managers are under increasingly high ... -
Manejo de malas hierbas bajo la línea del viñedo mediante acolchados orgánicos y su efecto sobre el vigor del cultivo
(Sociedad Española de Ciencias Hortícolas, 2022)En una parcela de viñedo de Raimat (Lleida) cv. ‘Chardonnay’ se estudió, durante la campaña 2019, el efecto de cuatro estrategias de manejo de malas hierbas bajo las cepas: 1) laboreo con intercepas, 2) pases de segadora, ... -
Assessment of different N treatments in Hedgerow Almond Orchards by means of LiDAR point clouds
(2022)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, ... -
Análisis del dosel foliar de setos olivo mediante LiDAR y su relación con la productividad y atributos de calidad del aceite
(2022)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. ... -
Understanding fire regimes in Europe
(CSIRO Publishing, 2021)Wildland fire effects are strongly associated with fire regime characteristics. Here, we developed the first European pyrogeography based on different fire regime components to better understand fire regimes across the ... -
Sensores de conductividad eléctrica aparente para el análisis de la variabilidad del suelo en Agricultura de Precisión
(2022)Los suelos son un recurso natural fundamental en agricultura, ya que sustentan la vida de las plantas. El conocimiento de sus propiedades y cómo varían en el espacio es fundamental para mantener su productividad y para la ... -
AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments
(Elsevier, 2022-10-29)The emergence of low-cost 3D sensors, and particularly RGB-D cameras, together with recent advances in artificial intelligence, is currently driving the development of in-field methods for fruit detection, size measurement ... -
Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards
(2021)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 ... -
NDVI from satellite images to estimate LiDAR-derived geometric and structural parameters in super-intensive almond orchards
(2021)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 ... -
Estimation of geometric and structural parameters in a super-intensive almond (Prunus dulcis) orchard from multispectral vegetation indices derived from UAV-based imagery
(2021)Canopy geometric and structural parameters in a super-intensive almond (Prunus dulcis) orchard were estimated from multispectral vegetation indices from very high-resolution UAV images (0.07 m/pixel). As ground truth data, ... -
Fruit detection and 3D location using instance segmentation neural networks and SfM photogrammetry
(2020)The development of remote fruit detection systems able to identify and 3D locate fruits provides opportunities to improve the effi-ciency of agriculture management. Most of the current fruit detec-tion systems are based ... -
Apple size estimation using photogrammetry-derived 3D point clouds
(2022)In-field fruit monitoring at different growth stages provides important information for farmers. Recent advances have focused on the detection and location of fruits, although the development of accurate fruit size ... -
Bed-material entrainment in a mountain river affected by hydropeaking
(Elsevier, 2023-01-15)Hydropeaking, by artificially generated flow peaks, influences hydro-sedimentary dynamics on rivers and, consequently, affects bed material entrainment and transport. This study examines the onset of motion of sediment ...