Browsing Ciència i Enginyeria Forestal i Agrícola by Subject "3D Plant structure"
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- ItemOpen AccessA LiDAR-Based System to Assess Poplar Biomass(Springer-Verlag, 2016-06-21) Andújar, Dionisio; Escolà i Agustí, Alexandre; Rosell Polo, Joan Ramon; Sanz Cortiella, Ricardo; Rueda-Ayala, Victor; Fernandez Quintanilla, C.; Ribeiro, Angela; Dorado, JoséThis study evaluated the capabilities of a LiDAR-based system to characterize poplar trees for biomass production. The precision of the system was assessed by analyzing the relationship between the distance records and biophysical parameters. The terrestrial laser scanner (TLS) system consisted of a 2D time-of-flight LiDAR sensor, a gimbal to dynamically stabilize the sensor and a RTK-GPS to georeference its location and, subsequently, the sensor data. The sensor and its stabilizer were fixed facing downwards, on a metal frame designed for this purpose. Then, it was mounted on an all-terrain vehicle to perform 2D scans in planes perpendicular to the travel direction. Distances between the sensor and the surrounding objects had a high spatial resolution, providing high density 3D point clouds. Results on the reliability of the LiDAR system to estimate plant height showed a significant relationship between the sensor readings and actual poplar height and biomass data. In addition, tree biomass and tree volume were properly estimated in the point cloud. Regression analysis showed significant estimates of 0.79 and 0.89 for biomass and volume, respectively. These results reveal the potential of the LiDAR sensor to estimate both, plant height and plant biomass. This sensor's capability, added to its relative low cost, fast reaction, and the high number of readings per second consolidate the ideal system for estimating the productivity of biomass in energy crops. http://link.springer.com/article/10.1007%2Fs10343-016-0369-1
- ItemOpen AccessA tractor-mounted scanning LIDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: a comparison with conventional destructive measurements(Elsevier, 2009) Rosell Polo, Joan Ramon; Sanz Cortiella, Ricardo; Llorens Calveras, Jordi; Arnó Satorra, Jaume; Escolà i Agustí, Alexandre; Ribes Dasi, Manuel; Masip Vilalta, Joan; Camp, Ferran; Gràcia, Felip; Solanelles Batlle, Francesc; Pallejà Cabrè, Tomàs; Val, Luis; Planas de Martí, Santiago; Gil Moya, Emilio; Palacín Roca, JordiThe use of a low-cost tractor-mounted scanning Light Detection and Ranging (LIDAR) system for capable of making non-destructive recordings of tree-row structure in orchards and vineyards is described. Field tests consisted of several LIDAR measurements on both sides of the crop row, before and after defoliation of selected trees. Summary parameters describing the tree-row volume and the total crop surface area viewed by the LIDAR (expressed as a ratio with ground surface area) were derived using a suitable numerical algorithm. The results for apple and pear orchards and a wine producing vineyard were shown to be in reasonable agreement with the results derived from a destructive leaf sampling method. Also, good correlation was found between manual and sensor-based measurements of the vegetative volume of tree-row plantations. The Tree Area Index parameter, TAI, gave the best correlation between destructive and non-destructive (i.e. LIDAR-based) determinants of crop leaf area. The LIDAR system proved to be a powerful technique for low cost, prompt and non-destructive estimates of the volume and leaf-area characteristics of plants.
- ItemOpen AccessObtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning(Elsevier, 2009) Rosell Polo, Joan Ramon; Llorens Calveras, Jordi; Sanz Cortiella, Ricardo; Arnó Satorra, Jaume; Ribes Dasi, Manuel; Masip Vilalta, Joan; Escolà i Agustí, Alexandre; Camp, Ferran; Solanelles Batlle, Francesc; Gràcia, Felip; Gil Moya, Emilio; Val, Luis; Planas de Martí, Santiago; Palacín Roca, JordiIn recent years, LIDAR (light detection and ranging) sensors have been widely used to measure environmental parameters such as the structural characteristics of trees, crops and forests. Knowledge of the structural characteristics of plants has a high scientific value due to their influence in many biophysical processes including, photosynthesis, growth, CO2-sequestration and evapotranspiration, playing a key role in the exchange of matter and energy between plants and the atmosphere, and affecting terrestrial, above-ground, carbon storage. In this work, we report the use of a 2D LIDAR scanner in agriculture to obtain three-dimensional (3D) structural characteristics of plants. LIDAR allows fast, non-destructive measurement of the 3D structure of vegetation (geometry, size, height, cross-section, etc.). LIDAR provides a 3D cloud of points, which is easily visualized with Computer Aided Design software. Three-dimensional, high density data are uniquely valuable for the qualitative and quantitative study of the geometric parameters of plants. Results are demonstrated in fruit and citrus orchards and vineyards, leading to the conclusion that the LIDAR system is able to measure the geometric characteristics of plants with sufficient precision for most agriculture applications. The developed system made it possible to obtain 3D digitalized images of crops, from which a large amount of plant information – such as height, width, volume, leaf area index and leaf area density – could be obtained. There was a great degree of concordance between the physical dimensions, shape and global appearance of the 3D digital plant structure and the real plants, revealing the coherence of the 3D tree model obtained from the developed system with respect to the real structure. For some selected trees, the correlation coefficient obtained between manually measured volumes and those obtained from the 3D LIDAR models was as high as 0.976.