Sanchez-Aparicio, L.J., Herrero-Huerta, M., Esposito, R., Schipper, R. and González-Aguilera, D. (2019) 'On the use of a photogrammetric solution for the evaluation of displacements during induced seismic tests'. Remote Sens, 11(16), 1871. DOI: 10.3390/rs11161871.
Scientific papers
Herrero-Huerta, M., Lagüela, S., Alfieria, S. M. and Menenti, M. (2019) 'Generating high-temporal and spatial resolution TIR data'. International Journal of Applied Earth Observation and Geoinformation. DOI: 10.1016/j.jag.2019.01.016
Herrero-Huerta, M., Rodriguez-Gonzalvez, P. and Lindenbergh, R. (2018) "Automatic Tree Parameter Extraction by Mobile Lidar System in an Urban Context". Plos One. DOI: 10.1371/journal.pone.0196004.
Herrero-Huerta, M., Lindenbergh, R. and Gard, W. (2018) "Leaf Movements of indoor plants monitored by Terrestrial LiDAR". Frontiers. DOI: 10.3389/fpls.2018.00189.
Herrero-Huerta, M., González-Aguilera, D., Rodriguez-Gonzalvez, P. and Hernández-López, D. (2015). "Vineyard yield estimation by automatic 3D bunch modelling in field conditions". Computers and electronics in agriculture, 110, 17-26
Herrero-Huerta, M., Felipe-García, B., Belmar-Lizarán, S., Hernández-López, D., Rodríguez-Gonzálvez, P. and González-Aguilera, D. (2016) "Dense Canopy Height Model from a low-cost photogrammetric platform and LiDAR data". Trees, 1-15
Herrero-Huerta, M., Hernández-López, D., Rodriguez-Gonzalvez, P., González-Aguilera, D. and González-Piqueras, J. (2014). "Vicarious radiometric calibration of a multispectral sensor from an aerial trike applied to precision agriculture". Computers and Electronics in Agriculture, 108, 28-38
High throughput phenotyping of physiological growth dynamics from UAS-based 3D modeling in soybean
Nowadays, an essential tool to improve the efficiency of crop genetics is automated, precise and cost-effective phenotyping of the plants. The aim of this study is to generate a methodology for high throughput phenotyping the physiological growth dynamics of soybeans by UAS-based 3D modelling. During the 2018 growing season, a soybean experiment...
Triple S: A new tool for Soybean High Throughput Phenotyping from UAS-based Multispectral Imagery
Herrero-Huerta, M., Govindarajan, S., Cherkauet, K. and Rainey, K. (2019) 'Triple S: A new tool for Soybean High Throughput Phenotyping from UAS-based Multispectral Imagery'. Proc. SPIE 11007, Advanced Environmental, Chemical, and Biological Sensing Technologies XV, 110070K.
Augmented reality to Social and Emotional Learning for people with Intellectual Disability
Herrero-Huerta, M., Gonzalez-Aguilera, D., Whelan, P. F. (2015) "Augmented reality to Social and Emotional Learning for people with Intellectual Disability". Technical report (Dublin City University)