MÓNICA HERRERO HUERTA

PERSONAL DATA

https://monicaherrerohuerta.webnode.com/

E-mail: monicaherrero@usal.es; ORCID ID: 0000-0002-4134-557X

KEYWORDS: Plant Science, Remote sensing, Photogrammetry, Artificial Intelligence, LiDAR

EDUCATION

University of Salamanca (Salamanca, SP)

• International PhD in Cartographic Geotechnologies applied to Engineering and Energy. QUM LAUDE September 2016

'Low-cost Photogrammetry applied to Agro-forestry Engineering'

• Master of science in Cartographic Geotechnologies applied to Engineering and Architecture June 2013

• Project of Civil Engineering. QUM LAUDE March 2006

'Modeling a Pisuerga aquifer. Flow and management models (software development)'

• Bachelor of science in Civil Engineering (Hydrology) May 2005

University Pompeu Fabra (Barcelona, SP)

• Master of Education in Mathematics and Statistics Education June 2011

University Alfonso X (Madrid, SP)

• Master in Civil Engineering June 2007

• Project of Civil Engineering October 2007

'3D Image Modeling of the Seberetxe tunnel (Bilbao, SP)'

PUBLICATIONS & SOFTWARE

Published

• Andrés-Anaya, P.; Molada-Tebar, A.; Hernández-López, D.; Moreno, M.Á.; González-Aguilera, D.; Herrero-Huerta, M. 'Radiometric Improvement of Spectral Indices Using Multispectral Lightweight Sensors Onboard UAVs'. Drones 2024, 8, 36. https://doi.org/10.3390/drones8020036

• Herrero-Huerta, M., et al. (2023) 'Tree-level Fuel Connectivity to assess Crown Wildfire Potential by UAS-based Photogrammetry'.In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Egypt). https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1743-2023

• Herrero-Huerta, M., Gonzalez-Aguilera, D., & Yang, Y. (2023). 'Structural Component Phenotypic Traits from Individual Maize Skeletonization by UAS-Based Structure-from-Motion Photogrammetry'. Drones, 7(2), 108. DOI: 10.3390/drones7020108.

• Herrero-Huerta, M., Raumonen, P., and Gonzalez-Aguilera, D. (2022). '4DRoot: Root phenotyping software for temporal 3D scans by X-ray computed tomography'. Frontiers in Plant Science, 13. DOI: 10.3389/fpls.2022.986856.

• Herrero-Huerta, M., Tardy, H., Morcillo-Sanz, A., Gonzalez-Gonzalez, E. and Gonzalez-Aguilera, D. (2022). 'Grape Bunch Architecture by Low-Cost 3D Scanner'. 2022 Frutic, 14th International Symposium.

• Herrero-Huerta, M., Meline, V., Iyer-Pascuzzi, A.S. et al. (2021). '4D Structural root architecture modeling from digital twins by X-Ray Computed Tomography'. Plant Methods 17, 123 (2021). DOI: 10.1186/s13007-021-00819-1.

• Herrero-Huerta, M., Tolley, S., Tuinstra, M. R., and Yang, Y. (2021). 'Individual maize extraction from UAS imagery-based point clouds by 3D deep learning'. In Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI (Vol. 11747, p. 1174704). International Society for Optics and Photonics.

• Herrero-Huerta, M., Meline, V., Iyer-Pascuzzi, A. S., Souza, A. M., Tuinstra, M. R., and Yang, Y. (2021). 'Root phenotyping from X-ray Computed Tomography: skeleton extraction'. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 417–422. DOI: 10.5194/isprs-archives-XLIII-B4-2021-417-2021, 2021

• Herrero-Huerta, M., Bucksch, A., Puttonen, E. and Rainey, K. M. (2020) 'Canopy roughness: a new phenotypic trait to estimate above-ground biomass from unmanned aerial system'. Plant Phenomics. DOI: 10.34133/2020/6735967

• Herrero-Huerta, M., Rodriguez-Gonzalvez, P. and Rainey, K.M. (2020) 'Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean'. Plant Methods 16, 78. DOI: 10.1186/s13007-020-00620-6

• Herrero-Huerta, M., Rahmani, S. R., and Rainey, K. M. (2020) 'Deep phenotyping considering tile drainage from UAS-based multispectral imagery by convolutional neural networks'. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 417–421. DOI: 10.5194/isprs-archives-XLIII-B3-2020-417-2020

• Sanchez-Aparicio, L.J., Herrero-Huerta, M., Esposito, R., Schipper, R. and González-Aguilera, D. (2019) 'Photogrammetric Solution for Analysis of Out-Of-Plane Movements of a Masonry Structure in a Large-Scale Laboratory Experiment'. Remote Sens, 11(16), 1871. DOI: 10.3390/rs11161871

• Herrero-Huerta, M., Lagüela, S., Alfieri, 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. and K. M. Rainey. 'High Throughput Phenotyping of Physiological Growth Dynamics from UAS-Based 3D Modeling in Soybean'. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4213 (2019): 357-361. DOI: 10.5194/isprs-archives-XLII-2-W13-357-2019

• 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. DOI: 10.1117/12.2519376

• 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 in Plant Science, 9, 189. DOI: 10.3389/fpls.2018.00189

• Govindarajan, S., Herrero-Huerta, M. and Rainey, K.M. (2018) 'Extraction of Soybean Edges from UAS-based Multispectral Imagery'. In Annals of The Second International Conference of ICT for Adapting Agriculture to Climate Change (Colombia)

• Herrero-Huerta, M., Lagüela, S., Alfieri, S. M., and Menenti, M. (2017) 'Generating high-temporal and spatial resolution TIR image data'. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 737-741, DOI: 10.5194/isprs-archives-XLII-2-W7-737-2017

• Herrero-Huerta, M. and Lindenbergh, R., Posien, L. and Van Damme, M. (2016) 'Morphological Changes along a Dike Landside Slope by 4-D High Resolution Terrestrial Laser Scanning' In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, WGIII/2 (Czech Republic)

• Van Damme, M., Posien, L. and Herrero-Huerta, M. (2016) 'Comparing overflow and wave-overtopping induced breach initiation mechanisms in an embankment breach experiment'. In Annals of the 3rd European Conference on Flood Risk Management (France)

• Shen, Y., Huang, T., Guo, X., Zang, Q. and Herrero-Huerta, M. (2016) 'An inversion method of Atmospheric Refraction Coefficient based on Trigonometric Leveling Network'. Journal of Surveying Engineering. DOI: 10.1061/ (ASCE) SU.1943-5428.0000199

• 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

• Lindenbergh, R. C., Berthold, D., Sirmacek, B., Herrero-Huerta, M., Wang, J. and Ebersbach, D. (2015) 'Automated large-scale parameter extraction of road-side trees sampled by a laser mobile mapping system'. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W3 (France)

• Herrero-Huerta, M. and Lindenbergh, R. C. (2015) 'Automatic Tree Breast Height Diameter Estimation from Laser Mobile Mapping Data in an Urban Context'. In Proceedings of Silvilaser (France)

• 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., 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

Under review

• Herrero-Huerta, M., … Terryn, L., Calders, K. 'Quantifying Crown Morphology by 3D Detailed Forest Mapping using UAS-LiDAR in Tropical Forest'. In Process

• Herrero-Huerta, M., Bucksch, A., Puttonen, E., Hollaus, M., Lindenbergh, R. and Pfeifer, N. 'Tree Bark roughness Index by automatic photogrammetic approaches.' In preparation

Software & Registered Intellectual Property

• 'TiF (Trees in Forest: Trees in Forest: individual tree trait extraction from forest point cloud)' (2023). R code

• '4DRoot (Root phenotyping software for temporal 3D scans by X-ray computed tomography)' (2022). Matlab code

• 'Triple S (Statistical computing of Segmented Soybean visible and multispectral imagery)' (2018). Python code

• 'ATPE (Automatic Tree Parameter Extraction by laser mobile mapping system)' (2016). C++ code

• 'MULRACS (MULtispecpectral RAdiometric Calibration of different sensors)' (2015). GNU Octave code

RESEARCH EXPERIENCE

University of Padova (IT) June 2024 - Currently

Position: Scientific researcher. CIRGEO (Interdepartmental Research Center of Geomatics). University of Padova (IT)

I+D Projects

• Scientific Researcher:'Definizione di mappe di distribuzione di specie forestali in contesti futuri sceneri di cambiamento climatico', Grant number: CUP C23B24000000007. D.R.E.AM Italia. University of Padova (IT). 2024-2025

• Co-Principal Investigator: 'From Forests to 3D Digital Models: training new generations on 3D geodata surveying and analysis (3DForTrain)'. The International Society for Photogrammetry and Remote Sensing Education and Capacity Building Initiative. Total funded: 10 k CHF. 2024

• Principal Investigator: 'SIMFOREST: Digital Twin to simulate Forest Dynamics due to disturbances driven by Climate Change (Fires, Invasive Plants and Diseases)'. Provincial Council of Ávila (SP). Funded: 10 k. 2024

  Research activities

• Virtual Mobility at Institute of Plant Sciences & Genetics in Agriculture (The Hebrew University of Jerusalem, ISRL) 'Review for hyperspectral time-series analysis of crop traits'. Pan-European Network of Green Deal Agriculture and Forestry Earth Observation Science, COST Action funded by the European Union. August 2024

• Scientific organizing committee member of the workshop '9th Computer Vision Problems in Plant Phenotyping and Agriculture' (CVPPA) within the European Conference on Computer Vision (ECCV). Milano (IT). Sep 29-Oct 4th, 2024.

• Scientific committee member of 'Beyond the canopy: technologies and applications of remote sensing'. International Society for Photogrammetry and Remote Sensing, TCIII. International Workshop on Smart Forest. Belem (Brazil). 2024

University of Salamanca (SP) January 2022 – December 2023

Position: Distinguished researcher (Maria Zambrano contract). Department of Cartographic and Land Engineering. University of Salamanca (SP). Next generation EU. Requalification of the Spanish university system for 2021-2023

I+D Projects

• Co-Principal Investigator: 'XTRACT: A Sustainable Ecosystem for the Innovative Resource Recovery and Complex Ore Extraction'. Grant number: 101138432. Total funded: 450 k EUR/ USAL: 22 k EUR. Horizon Europe Framework Programme (HORIZON). University of Salamanca (SP). 2023-2026

• Principal Investigator: 'ASELID: Augmented reality to Social and Emotional Learning for people with Intellectual Disability'. Total funded: 166.1 k EUR/ USAL: 98.4 k EUR. Recovery, Transformation and Resilience Plan (Next Generation EU). University of Salamanca (SP). 2023

• Project Manager: 'CHAMELEON: a holistic approach to sustainable, digital EU Agriculture, Forestry, Livestock and Rural Development based on Reconfigurable Aerial Enablers and edge Artificial Intelligence-on-Demand Systems'. Grant number: 101060529. Total funded: 6 M EUR / USAL: 1.1 M EUR. European Union´s Horizon 2020. University of Salamanca (SP). 2022- 2023

• Scientific Researcher: 'TREEADS: A holistic Fire Management Ecosystem for Prevention, Detection and Restoration of Environmental Disasters'. Grant number: 101036926. Total funded: 22.9 k EUR / USAL: 0.8 k EUR. European Union´s Horizon 2020. University of Salamanca (SP). 2022- 2023

International Congresses

• Geospatial Week of the International Society for Photogrammetry and Remote Sensing. Oral presentation: 'Tree-level fuel connectivity to assess crown wildfire potential by UAS-based photogrammetry'. International Workshop on Smart Forest. Cairo (EGY). Sep, 2023

• 14th International FRUTIC Symposium. Oral presentation: 'Grape Bunch Architecture by Low-Cost 3D Scanner'. Valencia (SP). June, 2022

• 7th International Plant Phenotyping Symposium 2022. Poster presentation: 'A low-cost gaming sensor-based phenotyping pipeline for greenhouse system production'. Wageningen (NL). September, 2022

• 2022 North American Plant Phenotyping Network Annual Conference. Oral presentation (Fast-Forward): 'Corn skeleton reconstruction by UAS-based Structure from Motion'. Virtual presence. February, 2022

Research activities

• Short Term Scientific Mission at Computational & Applied Vegetation Ecology lab (Ghent University, BE) 'Digital Forest by 3D Point Clouds plus RADAR info'. Three-dimensional Forest Ecosystem Monitoring and Better Understanding by Terrestrial-based Technologies, COST Action funded by the European Union. June 2023

• Scientific organizing committee member of the workshop '8th Computer Vision Problems in Plant Phenotyping and Agriculture' (CVPPA) within the International Conference of Computer Vision (ICCP). Paris (FR). October 2-6th, 2023.

• Topic editor: Unmanned Ground and Aerial Vehicles (UGVs-UAVs) for Digital Farming (Participating Journals: Agriculture, Applied Sciences, Drones, Remote Sensing & Sensors (MDPI editorial))

• 4th International Conference on Plant Science and Agriculture. Invited speaker: '4DRoot: a root phenotyping software for temporal 3D scans by X-Ray Computed Tomography'. Webinar. March, 2022

Teaching oriented

• Instructor: '3D data capture and processing'. Degree in Engineering in Geoinformation and Geomatics. Department of Cartographic and Land Engineering. University of Salamanca (SP). 2023-2024 (3 ETS = 30 h)

• Master thesis tribunal in Cartographic Geotechnologies in Engineering and Architecture. Department of Cartographic and Land Engineering. University of Salamanca (SP). 2022-2023 second announcement

• PhD thesis tribunal 'Remote Sensing assessment of land use and crop parameters in irrigated systems'. Universidad Politecnica de Madrid, CEIGRAM, Madrid (SP). July 2023

• Participation in the 8th International Conference on Higher Education Teaching (CINDU 2023). Online. June, 2023.

• Instructor: 'Drones and their geomatic applications'. Degree in Engineering in Geoinformation and Geomatics. Department of Cartographic and Land Engineering. University of Salamanca (SP). 2022-2023 (3 ETS = 30 h)

• Degree thesis supervised: 'Design project of the spillway in the San Martin river from Aviles (SP)'. University of Salamanca (SP). 2022-2023 (9 m)

• Instructor: 'Cameras'. Master's Degree in Cartographic Geotechnologies in Engineering and Architecture. Department of Cartographic and Land Engineering. University of Salamanca (SP). 2022-2023 & 2023-2024 (1.5 ETS = 15 h)

• Instructor: 'Laser and Radar'. Master's Degree in Cartographic Geotechnologies in Engineering and Architecture. Department of Cartographic and Land Engineering. University of Salamanca (SP). 2022-2023 & 2023-2024(1.5 ETS = 15 h)

• Instructor: 'Environmental Engineering'. Degree inCivil Engineering. Department of Cartographic and Land Engineering. University of Salamanca (SP). 2022-2023 (1.5 ETS = 15 h)

• Instructor: 'Remote sensing for vineyard monitoring'. Master's Degree in Oenology and its adaptation to Climate Change. University of Salamanca (SP). 2021-2022 (1 ETS = 10 h) and 2022-2023 (1 ETS = 10 h)

Additional training

• Generative artificial intelligence for creating applications. University of Salamanca (SP). 2023 (210 h)

Purdue University (IN, USA) January 2018 – December 2021

Position: Research Associate. The Institute for Plant Science, College of Agriculture. Purdue University (IN, USA). 2020-2021

Research Associate. Department of Agriculture. Purdue University (IN, USA). 2018-2020

I+D Projects

• Project co-leader: 'Innovations in Proximal Sensing data processing pipelines to Crop Phenotyping'. Total funded: $45 k by Bayer AG.The Institute for Plant Science, College of Agriculture. Purdue University (IN, USA). 2020-2021

• Co-Principal Investigator: 'Machine learning-based digital innovations for in-field corn phenotyping using aerial image-based point clouds: 'PhenoDrone' tool'. Total funded: $75 k. The Corn Phenotyping Endowment Research Grant sponsored by the Indiana Corn Marketing Council and Agricultural Research and Graduate Education at Purdue University (USA). 2021

• Co-Principal Investigator: 'Collaborating with a Purdue start-up to improve phenotyping accuracy for canopy architecture from UAS imagery using ploy-by-plot 3D modeling'. Total funded: $50 k. 2019 AgSEED. Agricultural Research and Extension Leading to Economic Development in Indiana Agriculture and Rural Communities. 2020

• Research Associate: 'Pipelines in Close and Proximal Sensing to Plant Phenotyping'. The Institute for Plant Science, College of Agriculture. Purdue University (IN, USA). 2020-2021

• Research Associate: 'Development of Analytical Tools for Drone-based Canopy Phenotyping in Crop Breeding (grant number: 17000419; WBSE: F.00068834.02.005)'. National Institute of Food and Agriculture; U.S. Department of Agriculture. Total funded: 410 k EUR. Department of Agriculture. Purdue University (IN, USA). 2018-2020

International Congresses

• XXIV International Society for Photogrammetry and Remote Sensing Congress. Interactive Poster Presentation: 'Root phenotyping by X-Ray Computed Tomography'. International Workshop on Digital Twins. Digital Edition. July, 2021

• 2021 North American Plant Phenotyping Network Annual Conference. Oral presentation (Genomes to Fields Workshop) & Poster presentation: 'Structural Root Modeling from digital twins by X-Ray Computed Tomography'. Virtual event. February, 2021

• SPIE. Defense + commercial sensing. Oral presentation: 'Individual maize extraction from UAS imagery-based point clouds by 3D deep learning'. Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI. Virtual event. April, 2020

• Geospatial Week of the International Society for Photogrammetry and Remote Sensing. Oral presentation: 'Deep phenotyping by UAS-based Multispectral Imagery'. International Workshop on Precision Farming. Virtual Conference. August, 2020

• Phenome 2020. Oral presentation: 'Biomass estimation from UAS Point Cloud-based Structure from Motion (SfM) in Soybean. Tucson (AR, USA). February, 2020

• Geospatial Week of the International Society for Photogrammetry and Remote Sensing. Oral presentation: 'High throughput phenotyping from UAS-based 3D modeling'. International Workshop on Unmanned Aerial Vehicles in Geomatics. Twente (The Netherlands). June, 2019

• SPIE. Defense + commercial sensing. Oral presentation: 'Deep phenotyping by UAS-based imagery'. Advanced Environmental, Chemical, and Biological Sensing Technologies XV. Baltimore (MA, USA). April, 2019

• Commercial UAV Expo America. Oral presentation: 'Innovative Tools for High Throughput Phenotyping by UAS data'. Drone Industry Visionaries: University Lightning Round. Las Vegas (NV, USA). October, 2018

Research activities

• Invited speaker: '4D Root Modeling by X-Ray Computed Tomography'. Phenomics: the Systematic Study of Phenotypes. Fall 2021 Seminar series. University of Iowa (USA). Online. November 12th, 2021

• Collaborator Researcher in the multi‐state initiative: 'Genomes To fields: Predicting Performance in variable environments'. Co-lead: Natalia de Leon (University of Wisconsin, USA). September 2020 – December 2021

• Board Member at JCR journals: Frontiers and Plants (MDPI)

• Invited speaker: 'Biomass modeling of Soybean by Convolutional Neural Networks from UAS imagery'. Southern Regional Research Center, USDA ARS. New Orleans (LO, USA). November 12th, 2019

• Scientific committee member of 'The Geospatial Week of the International Society for Photogrammetry and Remote Sensing'. International Workshop on Laser Scanning. Twente (The Netherlands). 2019

• Scientific committee member of 'The International CIPA Symposium'. Avila (SP). 2019

• Invited speaker: 'Deep Phenotyping in Crops by Photogrammetry'. Polytechnic School from Avila. University of Salamanca (SP). January 2nd, 2019

• Invited speaker: 'Photogrammetry & Computer Vision applied to Crop Phenomics'. Institute of Plant Breeding, Genetics and Genomics. University of Georgia (GE, USA). November 28th, 2018

• Collaboration-stay at the Computational Plant Science lab. University of Georgia (GE, USA). November, 2018

• Software Developer: 'Open-source software for high throughput plant phenotyping'. University of Georgia (GE, USA). 2018

Teaching oriented & Additional training

• Certificate of 'Foundations in College Teaching'. Purdue University (IN, USA). January, 2019. 1,5 ETC.

• Master thesis co-supervised: 'Multispectral Imagery Analysis'. Vellore Institute of Technology (India). June-July, 2018

• 'Mixed Models Applied to Genetic Selection in Plant and Livestock Species'. Purdue University (IN, USA). 2019 (3 d)

• 'Field Phenotyping of Soybean'. Indiana Corn and Soybean Innovation Center, Agronomy Center for Research and Education (IN, USA). 2018 (3 mths)

Delft University of Technology (TU Delft) (NL) February 2015 – December 2017

Position: PosdoctoralResearcher. Department of Geoscience and Remote Sensing. TU Delft (The Netherlands). 2015-2017

I+D Projects

• Research Associate: 'Smart Irrigation from soil Moisture forecast using satellite and hydro-meteorological modelling (SIM) (WaterJPI-JC-2015-12)'. H2020. Total funded: 1175 k EUR / TU Delft: 227 k EUR. Department of Geoscience and Remote Sensing. TU Delft (The Netherlands). 2016-2017

• Postdoctoral Researcher: 'Managing crOp water Saving with Enterprise Services (MOSES)'. H2020-EU.3.5.4. Total funded: 4249 k EUR / TU Delft: 950 k EUR. Department of Geoscience and Remote Sensing. TU Delft (The Netherlands). 2016-2017

• Research Collaborator: 'Physical testing and modelling – Masonry structures (project no. C31B61)'. Funded by Nederlandse Aardolie Maatschappij. Department of Geoscience and Remote Sensing. TU Delft (The Netherlands). 2017

• Research Collaborator: 'TU Delft large scale testing campaign 2016 (project no. C31B67)'. Funded by Nederlandse Aardolie Maatschappij. Department of Geoscience and Remote Sensing. TU Delft (The Netherlands). 2016

• Principal Investigator: 'Analysis in rainforest by terrestrial low-cost photogrammetry using computer vision approaches and deep learning (Sulawesi, Indonesia)'. Total funded: 10 k EUR. KNAW Academy Ecology Fund (The Netherlands). April- June 2017

• Research Assistant: 'IQmulus: A High-volume Fusion and Analysis Platform for Geospatial Point Clouds, Coverages and Volumetric Data Sets (FP7-ICT-2011-318787)'. Total funded: 10922 k EUR / TU Delft: 750 k EUR. Department of Geoscience and Remote Sensing. TU Delft (The Netherlands). 2015-2016

International Congresses

• Nederlands Centrum voor Geodesie en Geo-informatica symposium. Oral presentation: 'Tree bark roughness index by fully automatic photogrammetic approaches'. TU Delft (The Netherlands). November, 2017

• Geospatial Week of the International Society for Photogrammetry and Remote Sensing. Oral presentation: 'Generating high-temporal and spatial resolution TIR image data'. International Workshop on Image and Data Fusion. Wuhan (China). September, 2017

• The terrestrial laser scanning revolution in forest ecology. Oral presentation: 'Circadian Rhythms of indoor plants based on photogrammetric deep learning'. London (United Kingdom). February, 2017

• International Society for Photogrammetry and Remote Sensing conference. Poster presentation: 'Morphological Changes along a Dike Landside Slope by 4-D High Resolution Terrestrial Laser Scanning'. International Workshop on Geo-technologies. Prague (Czech Republic). July, 2016

• Living Planet Symposium. Poster presentation: 'Evaluating Vegetation Index Mapping over a Vineyard from an Alternative Low-Cost Platform'. European Spatial Agency (ESA). Prague (Czech Republic). May, 2016

• Geospatial Week of the International Society for Photogrammetry and Remote Sensing. Oral presentation: 'Automated large-scale parameter extraction of road-side trees sampled by a laser mobile mapping system'. International Workshop on Geo-Big data. La Grande Motte (France). September, 2015

• Geospatial Week of the International Society for Photogrammetry and Remote Sensing. Poster presentation: 'Automatic tree parameter estimation by Mobile LiDAR System in an urban context'. SilviLAser. La Grande Motte (France). September, 2015

Research activities

• Invited speaker: 'Image fusion in thermal spectrum'. Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing (China). October 2nd, 2018

• Collaboration-stay as invited researcher at the Remote Sensing and Digital Earth Institute, Chinese Academy of Sciences, Beijing (China). September, 2017

• Participation at 'International benchmarking on terrestrial laser scanning (TLS) methods for forestry'. EuroSDR test of Commission II. Finnish Geospatial Research Institute (Finland). September, 2015

Teaching oriented

• Teaching Assistant: 'Geostatistics & Remote Sensing'. Department of Geoscience and Remote Sensing. TU Delft (The Netherlands). 2015-2016 (100 h), 2016-2017 (100 h)

• Teaching Assistant: 'Integrated assignment: Geology, Geophysics & Remote Sensing'. Department of Geoscience and Remote Sensing. TU Delft (The Netherlands). 2015-2016 (75 h)

• Master thesis co-supervised: 'Hydrological modeling using thermal remote sensing data in the Heihe river basin'. Politecnico di Milano (Italy). 2017 (1.5 m)

• Master thesis supervised: 'Tree bark roughness index by Terrestrial LiDAR'. TU Delft (The Netherlands). 2017 (3 m)

• Master thesis supervised: 'Circadian rhythms of plants by Terrestrial LiDAR'. TU Delft (The Netherlands). 2016 (3 m)

Additional training

• 'Close Range Sensing Techniques in Alpine Terrain (Austria)'. Innsbruck Summer School of Alpine Research. International Society for Photogrammetry and Remote Sensing. 2017 (6 d)

• 'EduServ: 3D City Modelling, RADAR, Oblique Aerial Camera System and Forest Modelling'. KU Leuven Public Governance Institute (Belgium). 2017 (500 h)

• 'Computer Vision'. TU Delft (The Netherlands). 2015 (300 h)

• 'Management of massive point cloud data: wet and dry'. TU Delft (The Netherlands). 2015 (60 h)

University of Salamanca (SP) September 2011 - January 2015

Position: Research Assistant. Department of Cartographic and Land Engineering. University of Salamanca (SP). 2013-2014

I+D Projects

• Principal Investigator: 'Terrestrial Photogrammetry applied to Precision Viticulture'. Total funded: 5 k EUR. Doctor TCUE Award: University-company knowledge transfer. University of Salamanca (SP). 2015

• Guest Researcher: 'Augmented reality to Social and Emotional Learning for people with Intellectual Disability (ASELID)'. Vision System Group. Department of Computer Science. Dublin City University (Ireland). June-August, 2014

• Guest Researcher: 'Energy and Radiative Transfer Models in Agronomic Scenarios by Hyperspectral Imaging'. Institute for Regional Development of Castilla-La Mancha (SP). September-November, 2013

• Research Assistant: 'ENergetic modeling for SMART cities (ENSMART)'. Ministry of Economy and Competitiveness. Total funded: 800 k EUR / USAL: 240 k EUR. Department of Cartographic and Land Engineering. University of Salamanca (SP). 2013-2014

• Research Assistant: 'Gaming sensors based on photogrammetry applied to pattern recognition by Computer Vision'. PROYESTEGAL, S.L. University of Vigo (SP). Total funded: 250 k EUR. 2012

• Iberdrola Cathedra Grant: 'Automation of Point Cloud Data (PCD) processing by low-cost sensors'. Department of Cartographic and Land Engineering. University of Salamanca (SP). Total funded 100 k EUR. 2011-2012

Research activities & Additional training

• TIDOP Research Group member: 'Geomatic Technologies for the 3D digitalization and modelling of complex objects'. University of Salamanca (SP). 2011-Currently

• 'Certification in Energy Efficiency'. Eren (SP). 2012 (105 h)

• 'Management of processes for CO2-free based on Smart Technologies. Ciemat (SP). 2012 (85 h)

• 'Remote sensing and geographic information systems applied to viticulture, GVsig'. Enosat (SP). 2012 (210 h)

• 'Course in Coordinator in Occupational Health and Safety'. Marpell (SP). 2011 (200 h)

• 'V Conference in Smart Cities'. Higher Polytechnic University of Madrid (SP). 2010 (40 h)

• 'Course in Territorial and Urban Planning with GIS and River Modeling'. University of Granada (SP). 2008 (170 h).

ENGINEERING EXPERIENCE

• Nechi Engineering: Projects, Augmented Reality and Software development. Barcelona, SP (2011)

• Urbe Enginova: Project Design at the Department of Civil Construction. Barcelona, SP (2010)

• Oquendo Engineers: Construction, Supervision and Energy Audits. Mallorca, SP (2009)

• Prointec: Project Design at the Department of Geospatial Applications for Civil Construction. Madrid, SP (2007-2008)

COMPUTER SKILLS

• Windows, Office, Linux; Programming languages: R, Matlab, Python, C++; Code editor: Visual Studio, Spider, Jupiter Notebook, Anaconda Prompt; Computer vision & Photogrammetry: Point Cloud Library (PCL), OpenCV, LAStools, Visual SFM, CloudCompare, Meshroom, Regard3D; Commercial photogrammetry software: Pix4D, WebODM, Agisoft PhotoScan, Photomodeler

• Artificial Intelligent: TensorFlow, Pytorch, Keras, Deepnet; Image analysis: Osgeo4w, Ncorr, ERDAS, ENVI, ImageJ, PlantCV, Geospatial Data Abstraction Library (GDAL); Geographic Information Systems: QGis, Gvsig, Arcgis

• CAD Modeling: MeshLab, Geomatic Spark, Geomatic Studio; Computer Drawing: Microstation SE, AutoCAD; 3D Design: 3dsMax, Photoshop, SketchUp

• Hydrogeology and Hydrology: Modflow, Hidrobass, Hec- Ras, Mike11, Iber; Energy Efficiency: Lider, Calener VYP, Calener GT

• Structures: CYPE; Cost management software for construction: Presto; Linear Projects: Ispol-Istram, Novapoint, Cadna