Bound to map study


In spite of his 33 years, Pablo Rodríguez González (Mieres-Asturias, 1983) has a wide and recognize research and academic career. Although his close relatives have always been connected with the mining field. Pablo took his Bachelor degree in surveying engineering in 2004 from Oviedo University. Later, in 2006, he received his Master degree in Geodesy and Cartography. Obtaining two First National End of Degree Awards.

Nowadays, Pablo is a post-doctoral research at University of Salamanca and member of the Research Unit TIDOP (Geomatics Technologies for the 3D digitalization and modelling of complex objects). Linked to this group from his pre-doctoral stage, Pablo wrote his PhD thesis, entitled “Automatización en el procesamiento de datos adquiridos mediante laser escáner 3D”. Receiving his third First National End of Degree Award.

Since then, he has been visiting different National and International Universities. Highlighting a research centre in Trento (Italy): the Research Unit 3DOM ( There, Pablo participated in a European research project. Using UAV platforms to digitalize First World War cultural heritage elements.

Pablo is co-author of several research publications in international journals. Also, he has participated in fiveteen research project. One of them the European project CTH2 (Cultural Heritage Through Time).

Nowadays, Pablo is working on a research line that tries to hybridize the data provided by different cameras (RGB and thermographic cameras). Said approach allows the generation of 3D models. Enabling the detection of pathologies, thermal breaks, etc.

It is also noteworthy that Pablo is author of eight patents in different fields (Forensic, Photogrammetry and Industry) as well as the winner of an education prize granted by the most prestigious organization into the geomatic field: the ISPRS. Regarding this prize, Pablo and other researchers developed an educational software able to pass from 2D digital images to 3D models. Nowadays, said work, still lives. Involving several Universities (Salamanca, Bologna and FBK) under the name GRAPHOS ( This program comes to helping users to reconstruct object in 3D requiring only a device able to take images (mobile phone, tablet, digital camera, etc.)

Pablo expresses his intention to continue with his academic career, if possible, in Ávila. Boosting the Campus of this city.

New published on 07/18/2016

The research group TIDOP receives 3 Juan de la Cierva postdoctoral contracts

The research group TIDOP, located in High Polytechnic School of Avila, has received a total of 3 postdoctoral contracts (Juan de la Cierva). One of them in the formation and two in the incorporation modality.  Particularly noteworthy are the contracts obtained by Pablo Rodríguez Gonzálvez and  Susana Lagüela López, considering that the  number of contracts offered were only four (in the Engineering and Architecture field). The other contract has been for  Lucía Díaz Vilariño. These contracts choose those PhD researchers with a brilliant curriculum and career, where the scientific production, the mobility, as well as the technology transfers are one of the aspects evaluated.

The new supposes a fact of the wide scientific production (publications, research projects, contract agreements and technology transfer) carried out by TIDOP. These contracts also confirms the potentially and capabilities that can offer the Land Engineering (particularly the Geomatic) in our lives.

According to Diego González Aguilera, head of the group, these contracts are a recognition of the excellent research career . Now, the laureate researchers have two year ahead to carry out yours research works. Is in this framework where the Universities try to incorporate them into the University. During the contract, the researchers are going to develop research activities as well as university teaching.

  • Pablo Rodríguez Gonzálvez: obtained a Bachelor degree in surveying engineering in 2004 and a Master degree in geodesy and cartography in 2006. He received two First National End of Degrees Award for both degrees. He obtained his PhD in 2011, from Salamanca University, for which received an Extraordinary PhD award. He is involved in UAV, LiDAR researching and applications of TLS and gaming sensors to engineering and architecture. Author of more than 50 articles.
  • Susan Lagüela López: Mining Engineer (2009) , where she also received her MSc in Environmental Engineering (2010). She obtained her PhD with international mention in 3D thermography in 2014 at the University of Vigo, receiving an Extraordinary PhD Award. Author of more than 30 papers and conference contributions, she received the Prize to Young Researchers in New Technologies from the Council of Pontevedra, Spain (2011), and the Prize “Ermanno Grinzato to Researchers Under 30” from the International Conference in Thermography, AITA2013.
  • Lucía Díaz Villarino: Doctor in agronomic engineering. Her main research interest are focused on the Geomatic, Cartography and Geographical Information Systems. Co-author of mor than 15 publications, she has take part in mora that six research projects and eleven contract agreements. She has several research stays.
New published on 07/04/2016

“Medical check” of monuments


The well-known theme line of “prevention is better than cure” can extend not only to humans but also to monuments. In particular, to historical constructions, affected by several “diseases” related with the environmental conditions, natural hazards such as earthquakes, etc.

As the humans, the cultural heritage requires regular examinations (preventive actions), which are not carried out nowadays, in contrast with the benefits provided by them. Derived from these action systems (corrective solutions) it is required to invest huge amounts of money to patch up the monument.

According with this needed, the awarded research group TIDOP (Information technologies for the 3D modelling of complex objects) of the University of Salamanca (USAL) is working on a pioneering project with the collaboration of other countries and universities such as the University of Minho (Portugal), Blaise-Pascal (France) and Santa Maria la Real between others.

One of its members, the engineering Luis Javier Sánchez Aparicio, stresses the need to change our minds to a preventive approach. With the aim of maintaining in the best conditions our cultural heritage, became a sign of identify.

“These constructions are monuments with many years and pathologies. Said pathologies can compromise the stability of the construction”, argued Luis Javier. Luis Javier reiterates the need to change the current tendency, focuses on corrective actions to preventive solutions. Thanks to this, it is possible to optimize the available funds, preventing the loss of the building authenticity as well as expensive actions.

Also, said project is supported by public institutions such as the Instituto Andaluz de Patrimonio, the Dirección General de Cultura del Norte de Portugal and a French museum. This transnational consortium (with universities of several countries as well as private and public institutions) will ensure the correct implementation of the proposed initiative. Resulting in a simple, powerful and intuitive tridimensional representation of the monument. This representation enables the evolution of the construction through the time. Said model also will have an artificial intelligence able to predict future problems on the monument. All of these allow the correct evaluation by the experts (architects, engineers, etc.).

This project will use the last technology (drone systems with digital cameras and laser scanners) able to reconstruct in 3D monuments (including monuments in critical state). Reconstructed the models, an intelligent sensor network will be installed on the monument with a minimum impact on the monument.

All of them (the 3D systems as well as monitoring sensors) will be integrated into a common BIM (Building Information Modelling) platform, able to interpret the raw data and provide an intuitive model for the end-user. According to the Engineering Luis Javier Sánchez Aparicio, this project will involve not only end-user but also small and medium size companies involved in the construction sector.

The creation of a non-profit organization will provide the finishing touch. This organization will ensure the sustainability along the time of the project.

New published on 06/13/2016

Indentifying the Heritage’s wounds


A PhD student of the University of Salamanca develops a low cost methodology to evaluate, in a rigorous way, pathologies in façades and constructions without contact and through new sensors and technologies.

Buildings, environments, sculptures, ruins, churches, murals, museums, paintings or streets,  they are living testaments of the humanity and form the most value heritage of the present and future. However, despite of their value, many of them present pathological processes (wounds) as a result of several factors such as degradation over time or due to human activity.

To avoid this situation Susana del Pozo, a PhD student of the University of Salamanca, is engaged in a project that attempts to develop a low-cost methodology able to detect “in a rigorous way” the pathologies of façades and civil constructions. Without contact with them and by using new sensors and technologies.

In this way, multispectral imaging is placed as a feasible no-destructive solution. By contrast to other inspection protocols in civil engineering and cultural heritage fields. This method requires as input espectral information from passive systems (digital or multispectral cameras) or active systems (like the Terretrial Laser Scanners), operating in the infrared spectrum. “These devices can capture the reflected light from materials, and if these proportion of light is known, it is possible to evaluate pathologies of them”, explains Susana.  Therefore, the challenge is to transform the output digital signal of each sensor in its corresponding physical value of reflectance. This process is commonly known as radiometric calibration.

In this project, Susana has used a low-cost sensor: a multispectral camera with six channels, several canvas and color vinyls (used as control surfaces) and natural surfaces/materials (as check surfaces). Furthermore, an self-developed software called MULRACS has been used to assist in the calibration process. “MULRACS allows the transformation of images from any kind of sensor to reflectance values through an intuitive interface and data processing”, claims Susana.

Nowadays, routine inspections of such buildings are mainly visual, involving subjective results. Taking this into account, the develop of new methodologies able to evaluate building pathologies in a rigorous and remote way, are a key for the correct maintenance of such constructions, particularly in areas that are more exposed to degradation agents.

The combination of a low cost hardware-software makes this methodology “unique” in the market. It allows performing different studies and analysis materials, opening new possibilities for different disciplines relating with conservation and constructions. The main advantage of the methodology lies in the possibility of capture geometric and radiometric information at the same time, allowing the quantification of the detected pathologies.

This approach is based on the interaction between the energy and the construction´s materials. In particular, the methodology evaluates the reflected light for each of the wavelengths of the electromagnetic spectrum. Finally, the so called “spectral signature” of each material is obtained.

In this way, Susana del Pozo uses several devices -passive and active sensors- with the aim of capturing the reflected radiation from materials of historic façades and civil infrastructures, for which a correct planning is crucial to obtain quality results.

The added value of this project, which starts in September of 2011 and is linked to her Doctoral Thesis, is the cost saving, investing in low cost and flexible methodologies, in which aerial platforms such as UAVs or paramotors can be used flying at moderate heights, for which atmospheric effects are negligible.

New published on 04/06/2016
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TIDOP Member

Arturo Farfán Martín

Doctor from the University of Salamanca (2012). He is Professor of the University in the Department of Cartographic and Terrain Engineering of the Higher Polytechnic School of Ávila in the Degree of Mining and Energy Technology Engineering. He is currently directing several doctoral theses in the energy field within the Doctoral program “Geotechnologies applied to Construction, Energy and Industry”. Thanks to this, in recent years, highlights its development in the field of research with numerous scientific publications.

Research lines:

  • Renewable energy, especially geothermal energy
  • Geotechnics applied to energy installations
Análisis termográfico de edificios


El uso de la termografía infrarroja comMapaEnergeticoo técnica sobradamente provada para la inspección de edificios y localización de patologías como fugas de aire, humedades, etc. Nos permite realizar un examen visual “in-situ” de calidad de los objetos de estudio gracias a la posibilidad de visualizar en tiempo real los resultados pudiendo detectar sin dificultad los desperfectos o elementos característicos de estos. Estas técnicas de medición cualitativa nos proporcionan la posibilidad de realizar inspecciones rápidas y eficaces sin contacto directo con el objeto y de forma no destructiva, lo que disminuye tanto el riesgo de incidentes para los operarios como los daños producidos en los propios objetos de estudio ocasionados por otras técnicas intrusivas. Además, también se ha demostrado la utilidad de la termografía infrarroja como técnica puramente de medida a través de su utilización para el cálculo de propiedades termofísicas de materiales tales como difusividad y transmitancia térmica.

En el caso de termografía cualitativa, las publicaciones existentes tratan de estudios realizados in-situ, principalmente en edificios históricos o elementos del patrimonio cultural, mientras que los estudios cualitativos se realizan, en la mayor parte de los casos, en laboratorios sobre muestras de tamaño limitado. En aquellos casos en los que se han realizado estudios termográficos cuantitativos sobre edificios in-situ, los valores de temperatura son empleados con el objetivo de obtener propiedades termofísicas (conductancia térmica) reales del cerramiento, sin embargo su distribución espacial no es considerada.

Conjugar ambas aplicaciones permitirá la automatización del cálculo de pérdidas de calor a partir de las temperaturas medidas con una cámara termográfica. De este modo, no solo se usa la termografía para representar el estado de la pared, sino que también se usan los valores de temperatura contenidos en la termografía para la extracción de parámetros métricos del edificio en estudio, por lo que la hibridación de la información termográfica con el material cartográfico de precisión permitiría extraer la geometría real del objeto de estudio con textura termográfica, pudiendo así realizar mediciones precisas de los elementos de interés directamente sobre el resultado obtenido.




Estudios como el publicado por EuroACE en 2010 colocan la mejora de la eficiencia energética en edificación en cabeza de las acciones necesarias para la reducción de emisiones de gases del efecto invernadero y gasto energético, así como para servir de empuje a la generación de empleo. Especial es el caso del parque de edificios ya construidos, la mayoría procedente de los años 1940-80, con normativa inexistente y recursos escasos. En ellos las obras de rehabilitación energética pueden suponer un ahorro de hasta el 75% en consumo de energía. En España existen 13 millones de viviendas susceptibles de intervención, cuya rehabilitación energética supondría una reducción de las emisiones del sector del 34% con respecto al año 2001.

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Building thermographic analysis



The use of infraMapaEnergeticored thermography as a widely tested technique for building inspection and location of pathologies such as air leakage and moisture allows the performance of  quality “in-situ” visual examination of the objects under study due to the possibility of obtaining real-time results, being able to detect without difficulty damages or material characteristics. This qualitative measurement technique provides the capability of doing quick, effective and non-destructive inspection without direct contact with the object under study, decreasing the risk of incidents to operators and the damage of the objects comparing with other intrusive techniques. Furthermore, the utility of infrared thermography as a measurement technique has been proved by its use for the determination of the thermophysical properties of materials such as diffusivity and thermal transmittance.

In the qualitative approach, some authors have performed in-situ studies, mainly in historical buildings or cultural heritage elements, whereas quantitative studies are performed mainly in laboratories with limited size samples. In those cases where quantitative thermography studies were performed in-situ, temperature values were employed in order to obtain the real thermophysical properties (thermal conductance) of the building envelope, but their spatial distribution is not considered.

Combine both applications will enable the automation of the heat loss computation from the measured temperatures with a thermographic camera. Thus, the thermography is not only used to represent the state of the wall, but also temperature values represented on the thermography for extracting the metric parameters of the study object so the hybridization of the thermographic information with precise cartographic material would  allow to extract the actual geometry of the object of study with thermal texture, being able to make accurate measurements of the elements of interest directly on the obtained results.




Studies such as the one published by EuroACE in 2010, places improved energy efficiency in building construction at the top of the list of actions that need to be taken to reduce greenhouse gases and energy costs, in addition to acting as a stimulus to generate employment. In particular is the case of existing buildings stock, most of which dates back to the period 1940-80, constructed using non-existent standards and scarce resources. Here, energy refurbishment works could represent a saving of up to 75% in energy consumption. In Spain there are 13 million homes that could be the subject of intervention, where energy refurbishment could result in a reduction in sector emissions of 34% compared to 2001.


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Mobile Laser System (MLS) applied to urban tree inventory

In urbanized Western Europe trees are considered an important component of the built-up environment. This also means that there is an increasing demand for tree inventories. Laser mobile mapping systems provide an efficient and accurate way to sample the 3D road surrounding including notable roadside trees. In this research line, a processing chain aiming at the extraction of tree locations and tree sizes from laser mobile mapping data is reached.

  • Vegetation extraction


  • Tree parameter extraction



Such steps, in combination with code optimization are expected to be sufficient to reach the final goal of automatized estimation of features sampled by mobile mapping at a rate that matches the acquisition speed and at a quality that matches the result of a human operator.

TIDOP Member

Julia Aramendi Picado

Julia Aramendi has a BA degree in Archaeology from the Complutense University of Madrid (2010-2014). She received a scholarship from La Caixa for postgraduate studies abroad to perform the MSc of Human Anatomy and Evolution (2014-2015) at the University of York (United Kingdom). Then, she received a FPU grant from the Spanish Ministry of Education (2016-2021) to investigate the biomechanics of the long bones of some of the African hominin species through the use of three-dimensional models, and the application of geometric morphometrics and machine learning techniques. Since 2012, she has participated in the excavations carried out in Olduvai under the direction of TOPPP (The Olduvai Palaeoanthropology and Paleoecology Project), as well as in the subsequent study of the archaeological materials. She has collaborated in teaching in the Department of Prehistory of the Complutense University and the Institute of Evolution in Africa (IDEA). Since 2015, she has participated in a project aimed at the application of virtual reconstruction techniques and geometric morphometrics to the study of taphonomic marks. During her academic training she has made several research stays including a year of study in Mainz (Germany), and short stays in Toulouse, Poitiers (France) and York (United Kingdom). She has also participated in the archaeological campaigns of Pinilla del Valle (Madrid) and Cuesta de la Bajada (Teruel). She worked as a research assistant for the classification of the faunal material found at the Neanderthal site of Neukmard-Nord 2 during her stay in Germany. During the past years she has contributed to several Archaeology and Human Evolution conference sessions. Her research is reflected in several publications in high-impact journals.

Research lines:

  • Taphonomy
  • Human evolution
  • Application of geometric morphometrics (GMM) and artificial intelligence (AI) techniques to the study of hominin biomechanics and behavioural patterns.
Estudiante de Doctorado

Lloyd A. Courtenay

Arqueólogo por la Universidad Complutense de Madrid (2017), especializado en aplicaciones estadísticas para el estudio de los restos faunísticos en los yacimientos arqueológicos y paleontológicos. En el año 2019 obtuvo un Máster en Ciencias del Cuaternario y Evolución Humana (ERASMUS MUNDUS) por la Universidad Rovira i Virgili (URV, Tarragona), además realizando una estancia en el Muséum National d’Histoire Naturelle (Paris). A lo largo de su Máster, Lloyd empezó a trabajar y especializarse en temas de Inteligencia Artificial y Estadística Robusta aplicado al procesado de modelos 3D en algunos de los yacimientos arqueológicos de la Garganta de Olduvai (Tanzania). Su trabajo fin de Máster obtuvo el Premio Extraordinario por la URV y la máxima calificación, finalmente presentado en el Institut de Paléntologie Humaine en Paris. Ahora mismo se encuentra realizando su tesis doctoral en la Universidad de Salamanca, y en colaboración con la Universidad Complutense, sobre temas de aprendizaje computacional e estadística robusta para el procesado de modelos 3D. Está financiado por el Ministerio de Ciencia e Innovación con un contrato pre-doctoral tipo FPI (Ref.: PRE2019-089411)

Líneas de investigación:

  • Estadística robusta
  • Aprendizaje computacional
  • Modelización 3D y visión computacional
PhD Student

Lloyd A. Courtenay

Archaeologist formed in the Complutense University of Madrid (2017), specialised in statistical applications for the study of faunal remains in archaeological and palaeontological sites. In 2019 Lloyd finished his Master’s degree in Quaternary Sciences and Human Evolution (ERASMUS MUNDUS) in the Rovira I Virgili University (URV, Tarragona), with an overseas stay in the Muséum National d’Histoire Naturelle (Paris). Throughout his Master’s degree, Lloyd began working and specialising in Artificial Intelligence and Robust Statistical applications applied to 3D models from the archaeological sites of the Olduvai Gorge (Tanzania). His Master’s Thesis won the extraordinary prize from the URV, as well as the highest grade, finally presented in the Institut de Paléntologie Humaine in Paris. Lloyd is currently working on his doctorate in the University of Salamanca, in collaboration with the Complutense University of Madrid, about computational learning and robust statistics for the processing of 3D models. Lloyd is funded by the Spanish Ministry of Science and Innovations, with an FPI pre-doctoral contract (Ref.: PRE2019-089411).

Research lines:

  • Robust statistics
  • Computational Learning
  • 3D Modelling and Computer Vision
  • Lower Pleistocene Archaeology
Drones terrestres aplicados al modelizado tridimensional e inspección de infraestructuras críticas y de difícil acceso


Equipar drones con sensores láser, detectores de obstáculos y sistemas de control remoto permite obtener de forma segura y fiable los modelos tridimensionales de escenarios críticos, entendiendo como escenarios críticos todos aquellos escenarios en los que una persona correría peligro realizando los trabajos.

Este tipo de escenarios abarcan desde grutas angostas y estrechas a las que es difícil acceder, hasta escenarios industriales complejos, como subestaciones eléctricas, en las que existen riesgos de descargas eléctricas, salas de calderas, edificios con problemas estructurales etc.

A pesar de ser lugares críticos, su mantenimiento e inspección es un aspecto clave en el campo del control preventivo de averías y deformaciones, por lo que obtener el modelo tridimensional de estos lugares es fundamental. En este sentido, los drones terrestres, cada vez más sofisticados, permiten integrar escáner láser terrestre para capturar el entorno, asi como detectores de obstáculos y diferentes sistemas de comunicación, de modo que pueden moverse de forma autónoma o ser teledirigidos de forma remota.

Hasta el momento se ha investigado la integración de drones terrestres y escáner láser utilizando dos metodologías de trabajo diferentes, según el grado de precisión y detalle que se necesite y dependiendo de las dimensiones del espacio en el que se esté trabajando.


Finalmente, se está investigando la manera de combinar los modelos tridimensionales obtenidos por los drones terrestres con datos procedentes de drones aéreos equipados con cámaras fotográficas o cámaras termográficas. Combinar ambos modelos es esencial para obtener una cobertura total de la escena de estudio y poder detectar anomalías en cualquier lugar. Ésta línea de acción se está introduciendo para controlar subestaciones eléctricas y plantas solares fotovoltaicas ya que en ambos casos es posible detectar zonas con un calentamiento anormal que indiquen un funcionamiento que deberá revisarse.


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Land drones applied to three-dimensional modeling and control of complex industrial environments


Land drones can be armed with different devices such as terrestrial laser scanner, obstacle detectors or remote control systems, in order to provide accurate 3D models of unattended or critical environments in a safe way.

Environments like narrow caves that are difficult to access, electrical substations where there are risk of electric shock, boiler rooms or buildings with structural problems are considered critical environments for human operators due to the danger they entail.

Despite being critical spaces, its maintenance, inspection and control are essential to prevent damages and detect breakdowns, so accurate three-dimensional models are indispensable. For this purpose, terrestrial drones allow the integration of terrestrial laser scanners to capture the environment, as well as obstacle detectors and different communication systems, so that they can be autonomous vehicles or remote-controlled vehicles.

Depending on the accuracy needed and the dimensions of the study case, two different  combinations of technologies have been explored, both combining laser scanner with land drones.

To complete this research line, we are working in different methodologies to combine 3D models obtained with land drones and data obtained with aerial drones equipped with conventional cameras or thermo graphic cameras.

Mix both kind of models make the three-dimensional model much more complete and it is possible to detect pathologies in almost everywhere.  Some of this process has been used with success in electrical substations and photovoltaic solar plants, detecting, for example, anomalies in some panels.


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TIDOP Member

Mariano González de Soto

He received the PhD in Science and Technology of the Environment and Processes from the University of León (2016), he developed his thesis on the reduction of energy and contaminants in precision agriculture using robotic systems, which was awarded in the Call for “Doctor ULE-TCUE”. He studied a Master’s Degree in Renewable Energy at the University of León (2010) in which he researched about hydrogen and renewable energies. He previously studied Electronics Engineering (2009) and I.T. of Telecommunications specialization in electronic systems (2007) at the University of Valladolid. He has several scientific publications in international and national journals, lectures in congresses and chapters in scientific books. He has worked in the Spanish National Research Council (CSIC) (2012-2016) participating in a European project of robotics applied to effective agriculture and in another national on integral automation of agriculture. Later he joined at the Spanish Centre for Energy, Environment and Technology (CIEMAT) (2016-2018) to collaborate in a national project on hybrid energy storage. In 2019 he joined the TIDOP group, as a postdoctoral researcher, to participate in the research of intelligent systems for road safety, job that since 2020 he combines with that of a contracted professor at the Catholic University of Ávila. In addition, in 2018 he started an entrepreneurship project based on Industry 4.0 applied to organic eggs production, which participated and was awarded in the “Entrepreneurship Program 1,131” of the “Tatiana Pérez de Guzmán el Bueno Foundation”.

Research lines:

  • Systems and software modeling for automotive safety
  • Use of new technologies in agriculture and farming
  • Accumulation, generation and optimization of energy
Miembro del grupo TIDOP

Damián Ortega Terol

PhD en Geotecnologías Aplicadas a la Construcción, Energía e Industria (2018, Universidades de Salamanca y Vigo) con mención “cum laude” tras la finalización de su tesis doctoral titulada: “Innovación en el desarrollo de herramientas basadas en software libre para la explotación de imágenes aéreas y espaciales adquiridas con sensores de última generación”. Completa su formación académica con las titulaciones del graduado en Ingeniería Geomática y Topografía (2013, Universidad de Salamanca), Master Universitario en Geotecnologías Cartográficas en Ingeniería y Arquitectura (2011, Universidades de Salamanca y Valladolid), Ingeniero en Geodesia y Cartografía (2001, Universidad Politécnica de Valencia) e Ingeniero Técnico en Topografía (1998, Universidad Politécnica de Valencia). Posee una amplia experiencia en la programación de herramientas geomáticas basadas en software libre desarrollada en los diferentes puestos que ha ocupado: empresa pública Tragsatec (2001-2008), funcionario grupo A1 de la Escala de Técnicos Facultativos Superiores de los OOAA del Ministerio de Medio Ambiente (2008-2016) y en su reciente incorporación como funcionario de carrera en el Instituto Geográfico Nacional del Ministerio de Fomento (2016-actualidad).

Líneas de investigación:

  • Desarrollo de herramientas geomáticas basadas en software libre relacionadas con Sistemas de Información Geográfica, explotación de datos de Observación de la Tierra y Gestión Integrada de Recursos Hídricos
TIDOP Member

Damián Ortega Terol

PhD in Geotechnologies Applied to Construction, Energy and Industry (2018, Universities of Salamanca and Vigo) with a “Cum laude” mention of his doctoral thesis entitled: “Innovation in the development of tools based on free software for the exploitation of aerial and spatial images acquired with state-of-the-art sensors ”. He completed his academic training with the graduate degrees in Geomatics and Topography Engineering (2013, University of Salamanca), Master’s Degree in Cartographic Geotechnologies in Engineering and Architecture (2011, Universities of Salamanca and Valladolid), Engineer in Geodesy and Cartography (2001, University Polytechnic of Valencia) and Technical Engineer in Topography (1998, Polytechnic University of Valencia). He has extensive experience in programming geomatic tools based on free software developed in the different positions he has held: public company Tragsatec (2001-2008), official group A1 of the Scale of Superior Facultative Technicians of the OOAA of the Ministry of the Environment (2008-2016) and in his recent incorporation as a career civil servant at the National Geographic Institute of the Ministry of Development (2016-present).

Research lines:

  • . Development of geomatic tools based on free software related to Geographic Information Systems, exploitation of Earth Observation data and Integrated Management of Water Resources
TIDOP Member

Mario Soilán Rodríguez

He received the M.Sc. degree in industrial electronics and automation engineering from the University of Vigo, in 2014. He obtained his PhD in Applied Geotechnologies in Construction, Energy and Industry at University of Vigo in 2018, with International Mention, Extraordinary PhD Award, and Abertis International Award 2018 to the best PhD thesis in road safety. He has been a visiting researcher at the Urban Modelling Group, University College Dublin, Ireland (2016), at the Photogrammetry and Remote Sensing Group, ETH Zürich, Switzerland (2017), and at the Remote Sensing Group, TU Delft, The Netherlands (2018). He is currently a Juan de la Cierva postdoctoral researcher. His research interests include automatic processing of LiDAR data for mobility and traffic safety applications, and infrastructure analysis.

Research lines:

  • Laser scanning applied to engineering and infrastructures
  • Artificial Intelligence and remote sensing
Artificial Intelligence and the Impact of Wolves in Ávila

Throughout history wolves and humans have had a conflictive and complex love-hate relationship. On one hand, wolves are frequently the culprits of livestock predation, creating tension with local farmers and landowners, while on the other, their domestic relative the dog is considered a cultural extension of the family. Due to the attacks produced on livestock, tension has formed over the years among rural populations. Unfortunately, Castilla y León is one of the country’s most affected areas by wolf attacks on livestock; with Ávila being a focal point for most of these damages. fotowolf The objectives of this line of research are to use artificially intelligent algorithms to model and study the impact of wolves in the province of Ávila. Using spatial data, statistical Geographical Information System (GIS) approaches and Machine/Deep Learning, we hope to provide a new perspective to the study of wolf activities and attacks on local livestock. animaleswolf The advantages of artificially intelligent algorithms are multiple. These algorithms provide a new means of predicting when and where the next attack is most likely to occur. Likewise, additional research may be able to highlight which animals are more likely to be attacked. This data could be of great benefit to local agricultural communities, thus helping protect their assets and help alleviate tension that could better protect the wolf from danger of extinction.

La Inteligencia Artificial y el Impacto del Lobo en Ávila

A lo largo de la historia los humanos y los lobos han tenido una relación de amor-odio bastante compleja y conflictiva. Por un lado, en muchas ocasiones los lobos son los culpables de los daños o ataques al ganado, generando tensión con ganaderos y terratenientes, mientras que por otro lado el perro, su pariente domesticado, es considerado culturalmente como un miembro más de la familia. Debido a los ataques al ganado, con el paso de los años se han ido acrecentando las tensiones con las poblaciones rurales. Por desgracia, la Comunidad Autónoma de Castilla y León es una de las zonas del país más afectadas por ataques de lobo, siendo Ávila uno de los focos que más daños acumula. fotowolf Los objetivos de esta línea de investigación es emplear algoritmos de inteligencia artificial para modelar y estudiar el impacto del lobo en la provincia de Ávila. Utilizando datos espaciales, enfoques estadísticos de Sistemas de Información Geográfica (SIG) y algoritmos de aprendizaje computacional, esperamos poder presentar una nueva perspectiva para el estudio de las actividades de los lobos y sus ataques al ganado local en la península. animaleswolf Las ventajas que presenta la inteligencia artificial son múltiples. Estos algoritmos son capaces de predecir con alta precisión dónde y cuándo es más probable que se produzca un nuevo ataque. De la misma forma, la investigación adicional puede destacar cual es el tipo de ganado más propenso a ser atacado. Estos datos pueden beneficiar a las comunidades ganaderas locales, ayudando a proteger a sus animales y a aliviar las tensiones generadas por los ataques, lo que puede a su vez ayudar a proteger mejor al lobo de su extinción.

TIDOP Member

Paula Villanueva

Graduated in Architecture (2012) and International PhD in Structures, Materials and Foundations (2017), at Universidad Politécnica de Madrid (Spain). In 2016, she went on a three months’ research stay at the University of Bath (UK), where she developed an analytical model on the framework of her PhD thesis “Influence of installation parameters on the performance of spike anchors for FRP reinforcements bonded to concrete members”. During the last three years, she has collaborated with engineering and architecture companies in the field of structural retrofitting of buildings and civil works, and has worked as a lecturer in different institutions including Universidad Politécnica de Madrid.

Research lines:

  • Structural retrofitting and modelling
  • Damage and rehabilitation strategies in historical constructions
PhD Student

Rocío Mora Fernández de Córdoba

Survey Engineer (2005-2009) and Graduated in Computer Engineering (2012 – 2016) from the University of Salamanca, is currently developing her PhD thesis in the TIDOP research group. Her researching lines try to combine her surveying knowledge with computer science, developing algorithms that allow the automatic creation of BIM models from point clouds. In 2018 he was awarded a Grant for the Hiring of Research Personnel by the Junta de Castilla y León linked to the National Research Project called Auto-BIM, for which she carried out research and development work and thanks to which she is carrying out teaching tasks in the Department of Terrain Cartographic Engineering. She has collaborated in other research projects related to new technologies and renewable energies, as well as she has participated as the organizing committee of some international congresses.

Research lines:

  • Software development
  • Point cloud processing
  • Building Information Modelling (BIM)
TIDOP Engineering

Alberto Morcillo Sanz

Higher technician in development of multiplatform applications (2020). Nowadays, he is studying the degree in Computer Engineering at the University of Valladolid. He has experience in the field of programming due to the development of several projects and software using programming languages such as Java, C, C++, C#, Python, Kotlin or JavaScript. He is a specialist in low-level programming, development of libraries and frameworks and graphics programming.

Research lines:

  • Application development for engineering and architecture