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Ms. Ana del-Campo-Sanchez
UCLM

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0 GIS
0 Laser Scanning
0 Photogrammetry
0 Remote Sensing
0 3D mapping

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Journal article
Published: 12 October 2019 in Remote Sensing
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The 3D digital characterization of vegetation is a growing practice in the agronomy sector. Precision agriculture is sustained, among other methods, by variables that remote sensing techniques can digitize. At present, laser scanners make it possible to digitize three-dimensional crop geometry in the form of point clouds. In this work, we developed several methods for calculating the volume of vine wood, with the final intention of using these values as indicators of vegetative vigor on a thematic map. For this, we used a static terrestrial laser scanner (TLS), a mobile scanning system (MMS), and six algorithms that were implemented and adapted to the data captured and to the proposed objective. The results show that, with TLS equipment and the algorithm called convex hull cluster, the volumes of a vine trunk can be obtained with a relative error lower than 7%. Although the accuracy and detail of the cloud obtained with TLS are very high, the cost per unit for the scanned area limits the application of this system for large areas. In contrast to the inoperability of the TLS in large areas of terrain, the MMS and the algorithm based on the L1-medial skeleton and the modelling of cylinders of a certain height and diameter have solved the estimation of volumes with a relative error better than 3%. To conclude, the vigor map elaborated represents the estimated volume of each vine by this method.

ACS Style

Ana Del-Campo-Sanchez; Miguel Moreno; Rocio Ballesteros; David Hernandez-Lopez. Geometric Characterization of Vines from 3D Point Clouds Obtained with Laser Scanner Systems. Remote Sensing 2019, 11, 2365 .

AMA Style

Ana Del-Campo-Sanchez, Miguel Moreno, Rocio Ballesteros, David Hernandez-Lopez. Geometric Characterization of Vines from 3D Point Clouds Obtained with Laser Scanner Systems. Remote Sensing. 2019; 11 (20):2365.

Chicago/Turabian Style

Ana Del-Campo-Sanchez; Miguel Moreno; Rocio Ballesteros; David Hernandez-Lopez. 2019. "Geometric Characterization of Vines from 3D Point Clouds Obtained with Laser Scanner Systems." Remote Sensing 11, no. 20: 2365.

Research article
Published: 22 April 2019 in PLOS ONE
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With the increasing competitiveness in the vine market, coupled with the increasing need for sustainable use of resources, strategies for improving farm management are essential. One such effective strategy is the implementation of precision agriculture techniques. Using photogrammetric techniques, the digitalization of farms based on images acquired from unmanned aerial vehicles (UAVs) provides information that can assist in the improvement of farm management and decision-making processes. The objective of the present work is to quantify the impact of the pest Jacobiasca lybica on vineyards and to develop representative cartography of the severity of the infestation. To accomplish this work, computational vision algorithms based on an ANN (artificial neural network) combined with geometric techniques were applied to geomatic products using consumer-grade cameras in the visible spectra. The results showed that the combination of geometric and computational vision techniques with geomatic products generated from conventional RGB (red, green, blue) images improved image segmentation of the affected vegetation, healthy vegetation and ground. Thus, the proposed methodology using low-cost cameras is a more cost-effective application of UAVs compared with multispectral cameras. Moreover, the proposed method increases the accuracy of determining the impact of pests by eliminating the soil effects.

ACS Style

Ana Del-Campo-Sanchez; Rocio Ballesteros; David Hernandez-Lopez; J. Fernando Ortega; Miguel A. Moreno; on behalf of Agroforestry and Cartography Precision Research Group. Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques. PLOS ONE 2019, 14, e0215521 .

AMA Style

Ana Del-Campo-Sanchez, Rocio Ballesteros, David Hernandez-Lopez, J. Fernando Ortega, Miguel A. Moreno, on behalf of Agroforestry and Cartography Precision Research Group. Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques. PLOS ONE. 2019; 14 (4):e0215521.

Chicago/Turabian Style

Ana Del-Campo-Sanchez; Rocio Ballesteros; David Hernandez-Lopez; J. Fernando Ortega; Miguel A. Moreno; on behalf of Agroforestry and Cartography Precision Research Group. 2019. "Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques." PLOS ONE 14, no. 4: e0215521.

Journal article
Published: 01 October 2018 in International Journal of Applied Earth Observation and Geoinformation
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ACS Style

R. Ballesteros; J.F. Ortega; D. Hernandez; A. del Campo; M.A. Moreno. Combined use of agro-climatic and very high-resolution remote sensing information for crop monitoring. International Journal of Applied Earth Observation and Geoinformation 2018, 72, 66 -75.

AMA Style

R. Ballesteros, J.F. Ortega, D. Hernandez, A. del Campo, M.A. Moreno. Combined use of agro-climatic and very high-resolution remote sensing information for crop monitoring. International Journal of Applied Earth Observation and Geoinformation. 2018; 72 ():66-75.

Chicago/Turabian Style

R. Ballesteros; J.F. Ortega; D. Hernandez; A. del Campo; M.A. Moreno. 2018. "Combined use of agro-climatic and very high-resolution remote sensing information for crop monitoring." International Journal of Applied Earth Observation and Geoinformation 72, no. : 66-75.

Journal article
Published: 29 November 2017 in International Journal of Earth & Environmental Sciences
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ACS Style

Diego Gonzalez-Aguilera; Ana Campo-Sánchez; David Hernández-López; Susana Del Pozo. Optimized Planning of Terrestrial Laser-scanner Surveys in Complex Archaeological Environments. International Journal of Earth & Environmental Sciences 2017, 2, 1 .

AMA Style

Diego Gonzalez-Aguilera, Ana Campo-Sánchez, David Hernández-López, Susana Del Pozo. Optimized Planning of Terrestrial Laser-scanner Surveys in Complex Archaeological Environments. International Journal of Earth & Environmental Sciences. 2017; 2 (2):1.

Chicago/Turabian Style

Diego Gonzalez-Aguilera; Ana Campo-Sánchez; David Hernández-López; Susana Del Pozo. 2017. "Optimized Planning of Terrestrial Laser-scanner Surveys in Complex Archaeological Environments." International Journal of Earth & Environmental Sciences 2, no. 2: 1.