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Dr. Diego Gonzalez-Aguilera
University of Salamanca

Basic Info


Research Keywords & Expertise

0 Computer Vision
0 Geoinformatics
0 Geospatial Data
0 Laser Scanning
0 Software Development

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Short Biography

Graduated at Salamanca University (Spain) in Surveying Engineering (1999) and Geodesy and Cartography Engineering (2001), he stayed as research assistant at INRIA Grenoble (France) in the Institute of Computer Vision and Robotics, where he also performed his PhD on ‘3d reconstruction from a single view’ in 2005. Based on his thesis’s results, he obtained six international awards of the International Societies of Photogrammetry and Remote Sensing (ISPRS/ASPRS). He has authored more than 200 research articles in international journals and conference proceedings. He is Full Professor at the University of Salamanca in the field of photogrammetry, geodetic and cartographic engineering. Actually, he is member of the ISPRS, where he is serving as Co-Chair of the Working Group on ‘Data Acquisition and Processing in Cultural Heritage’ and regularly as program committee member of conferences and reviewer for related journals. In 2015, the contribution of his works to the progress of knowledge was recognized by the Royal Academy of Engineering with the Royal Academy of Engineering Award’.

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Journal article
Published: 06 August 2021 in Animals
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Human populations have been known to develop complex relationships with large carnivore species throughout time, with evidence of both competition and collaboration to obtain resources throughout the Pleistocene. From this perspective, many archaeological and palaeontological sites present evidence of carnivore modifications to bone. In response to this, specialists in the study of microscopic bone surface modifications have resorted to the use of 3D modeling and data science techniques for the inspection of these elements, reaching novel limits for the discerning of carnivore agencies. The present research analyzes the tooth mark variability produced by multiple Iberian wolf individuals, with the aim of studying how captivity may affect the nature of tooth marks left on bone. In addition to this, four different populations of both wild and captive Iberian wolves are also compared for a more in-depth comparison of intra-species variability. This research statistically shows that large canid tooth pits are the least affected by captivity, while tooth scores appear more superficial when produced by captive wolves. The superficial nature of captive wolf tooth scores is additionally seen to correlate with other metric features, thus influencing overall mark morphologies. In light of this, the present study opens a new dialogue on the reasons behind this, advising caution when using tooth scores for carnivore identification and contemplating how elements such as stress may be affecting the wolves under study.

ACS Style

Lloyd Courtenay; Darío Herranz-Rodrigo; José Yravedra; José Vázquez-Rodríguez; Rosa Huguet; Isabel Barja; Miguel Maté-González; Maximiliano Fernández; Ángel-Luis Muñoz-Nieto; Diego González-Aguilera. 3D Insights into the Effects of Captivity on Wolf Mastication and Their Tooth Marks; Implications in Ecological Studies of Both the Past and Present. Animals 2021, 11, 2323 .

AMA Style

Lloyd Courtenay, Darío Herranz-Rodrigo, José Yravedra, José Vázquez-Rodríguez, Rosa Huguet, Isabel Barja, Miguel Maté-González, Maximiliano Fernández, Ángel-Luis Muñoz-Nieto, Diego González-Aguilera. 3D Insights into the Effects of Captivity on Wolf Mastication and Their Tooth Marks; Implications in Ecological Studies of Both the Past and Present. Animals. 2021; 11 (8):2323.

Chicago/Turabian Style

Lloyd Courtenay; Darío Herranz-Rodrigo; José Yravedra; José Vázquez-Rodríguez; Rosa Huguet; Isabel Barja; Miguel Maté-González; Maximiliano Fernández; Ángel-Luis Muñoz-Nieto; Diego González-Aguilera. 2021. "3D Insights into the Effects of Captivity on Wolf Mastication and Their Tooth Marks; Implications in Ecological Studies of Both the Past and Present." Animals 11, no. 8: 2323.

Journal article
Published: 30 June 2021 in Informes de la Construcción
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Los centros urbanos históricos son escenarios complejos para su reconstrucción tridimensional. Los avances en la reconstrucción automática son de gran utilidad para realizar análisis urbanísticos que de otra manera requerirían un elevado esfuerzo humano. En este artículo, se derivarán de forma automática parámetros urbanísticos para el análisis de los centros históricos. En particular, se utiliza un vuelo fotogramétrico como base para la obtención de modelos 3D de edificios con propiedades métricas. Los resultados revelan que la información geométrica de los edificios (alturas, áreas y volúmenes) y los atributos de densidad urbana (intensidad de ocupación del suelo en 2D y 3D) juegan un papel esencial en el diseño, planificación y gestión de los centros históricos. El enfoque propuesto fue validado en el centro histórico de la ciudad de Trento (Italia) utilizando datos catastrales y un sistema de cartografiado móvil como referencia geométrica.

ACS Style

Inmaculada Picon-Cabrera; Pablo Rodríguez-Gonzálvez; Isabella Toschi; Fabio Remondino; Diego González-Aguilera. Reconstrucción de edificios y análisis urbanístico de centros históricos con fotogrametría aérea. Informes de la Construcción 2021, 73, e398 -e398.

AMA Style

Inmaculada Picon-Cabrera, Pablo Rodríguez-Gonzálvez, Isabella Toschi, Fabio Remondino, Diego González-Aguilera. Reconstrucción de edificios y análisis urbanístico de centros históricos con fotogrametría aérea. Informes de la Construcción. 2021; 73 (562):e398-e398.

Chicago/Turabian Style

Inmaculada Picon-Cabrera; Pablo Rodríguez-Gonzálvez; Isabella Toschi; Fabio Remondino; Diego González-Aguilera. 2021. "Reconstrucción de edificios y análisis urbanístico de centros históricos con fotogrametría aérea." Informes de la Construcción 73, no. 562: e398-e398.

Journal article
Published: 13 June 2021 in Revista Cartográfica
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El presente artículo presenta un conjunto de desarrollos y herramientas diseñadas con el fin de automatizar el mayor número posible de los procesos de control de calidad que se realizan sobre una serie cartográfica durante las fases de mantenimiento y actualización dentro de un contexto municipal. Dado que los tiempos y recursos empleados en estas tareas son considerables, se ha diseñado una metodología que aprovecha las posibilidades de los entornos CAD y SIG para agilizar y optimizar la detección de las discrepancias entre la representación cartográfica y los parámetros establecidos por el organismo cartográfico competente, facilitando así la localización de estos errores y su posterior revisión y corrección. El proceso de automatización se ejemplifica con las series cartográficas a gran escala del Ayuntamiento de Sabadell, lográndose una importante minimización de la intervención de los técnicos.

ACS Style

Eulàlia Torrent Foz; Ángel Luis Muñoz-Nieto; Diego González-Aguilera; Pablo Rodríguez Gonzálvez. Implementación de procesos de control de calidad en actualización de series cartográficas urbanas mediante CAD y SIG. Revista Cartográfica 2021, 47 -69.

AMA Style

Eulàlia Torrent Foz, Ángel Luis Muñoz-Nieto, Diego González-Aguilera, Pablo Rodríguez Gonzálvez. Implementación de procesos de control de calidad en actualización de series cartográficas urbanas mediante CAD y SIG. Revista Cartográfica. 2021; (103):47-69.

Chicago/Turabian Style

Eulàlia Torrent Foz; Ángel Luis Muñoz-Nieto; Diego González-Aguilera; Pablo Rodríguez Gonzálvez. 2021. "Implementación de procesos de control de calidad en actualización de series cartográficas urbanas mediante CAD y SIG." Revista Cartográfica , no. 103: 47-69.

Journal article
Published: 09 June 2021 in Materials
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This work aims to investigate different predictive models for estimating the unconfined compressive strength and the maximum peak strain of non-structural recycled concretes made up by ceramic and concrete wastes. The extensive experimental campaign carried out during this research includes granulometric analysis, physical and chemical analysis, and compression tests along with the use of the 3D digital image correlation as a method to estimate the maximum peak strain. The results obtained show that it is possible to accurately estimate the unconfined compressive strength for both types of concretes, as well as the maximum peak strain of concretes made up by ceramic waste. The peak strain for mixtures with concrete waste shows lower correlation values.

ACS Style

Evelio Teijón-López-Zuazo; Jorge López-Rebollo; Luis Sánchez-Aparicio; Roberto Garcia-Martín; Diego Gonzalez-Aguilera. Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes. Materials 2021, 14, 3177 .

AMA Style

Evelio Teijón-López-Zuazo, Jorge López-Rebollo, Luis Sánchez-Aparicio, Roberto Garcia-Martín, Diego Gonzalez-Aguilera. Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes. Materials. 2021; 14 (12):3177.

Chicago/Turabian Style

Evelio Teijón-López-Zuazo; Jorge López-Rebollo; Luis Sánchez-Aparicio; Roberto Garcia-Martín; Diego Gonzalez-Aguilera. 2021. "Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes." Materials 14, no. 12: 3177.

Journal article
Published: 22 April 2021 in Sensors
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This research focuses on the study of the ruins of a large building known as “El Torreón” (the Tower), belonging to the Ulaca oppidum (Solosancho, Province of Ávila, Spain). Different remote sensing and geophysical approaches have been used to fulfil this objective, providing a better understanding of the building’s functionality in this town, which belongs to the Late Iron Age (ca. 300–50 BCE). In this sense, the outer limits of the ruins have been identified using photogrammetry and convergent drone flights. An additional drone flight was conducted in the surrounding area to find additional data that could be used for more global interpretations. Magnetometry was used to analyze the underground bedrock structure and ground penetrating radar (GPR) was employed to evaluate the internal layout of the ruins. The combination of these digital methodologies (surface and underground) has provided a new perspective for the improved interpretation of “El Torreón” and its characteristics. Research of this type presents additional guidelines for better understanding of the role of this structure with regards to other buildings in the Ulaca oppidum. The results of these studies will additionally allow archaeologists to better plan future interventions while presenting new data that can be used for the interpretation of this archaeological complex on a larger scale.

ACS Style

Miguel Maté-González; Cristina Sáez Blázquez; Pedro Carrasco García; Jesús Rodríguez-Hernández; Jesús Fernández Hernández; Javier Vallés Iriso; Yolanda Torres; Libertad Troitiño Torralba; Lloyd Courtenay; Diego González-Aguilera; Serafín López-Cuervo; Julián Aguirre de Mata; Jesús Velasco Gómez; Marco Piras; Andrea Filippo; José Yravedra; Maximiliano Fernández Fernández; Teresa Chapa; Gonzalo Ruiz Zapatero; Jesús Álvarez-Sanchís. Towards a Combined Use of Geophysics and Remote Sensing Techniques for the Characterization of a Singular Building: “El Torreón” (the Tower) at Ulaca Oppidum (Solosancho, Ávila, Spain). Sensors 2021, 21, 2934 .

AMA Style

Miguel Maté-González, Cristina Sáez Blázquez, Pedro Carrasco García, Jesús Rodríguez-Hernández, Jesús Fernández Hernández, Javier Vallés Iriso, Yolanda Torres, Libertad Troitiño Torralba, Lloyd Courtenay, Diego González-Aguilera, Serafín López-Cuervo, Julián Aguirre de Mata, Jesús Velasco Gómez, Marco Piras, Andrea Filippo, José Yravedra, Maximiliano Fernández Fernández, Teresa Chapa, Gonzalo Ruiz Zapatero, Jesús Álvarez-Sanchís. Towards a Combined Use of Geophysics and Remote Sensing Techniques for the Characterization of a Singular Building: “El Torreón” (the Tower) at Ulaca Oppidum (Solosancho, Ávila, Spain). Sensors. 2021; 21 (9):2934.

Chicago/Turabian Style

Miguel Maté-González; Cristina Sáez Blázquez; Pedro Carrasco García; Jesús Rodríguez-Hernández; Jesús Fernández Hernández; Javier Vallés Iriso; Yolanda Torres; Libertad Troitiño Torralba; Lloyd Courtenay; Diego González-Aguilera; Serafín López-Cuervo; Julián Aguirre de Mata; Jesús Velasco Gómez; Marco Piras; Andrea Filippo; José Yravedra; Maximiliano Fernández Fernández; Teresa Chapa; Gonzalo Ruiz Zapatero; Jesús Álvarez-Sanchís. 2021. "Towards a Combined Use of Geophysics and Remote Sensing Techniques for the Characterization of a Singular Building: “El Torreón” (the Tower) at Ulaca Oppidum (Solosancho, Ávila, Spain)." Sensors 21, no. 9: 2934.

Journal article
Published: 16 April 2021 in Remote Sensing
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Earth Observation (EO) imagery is difficult to find and access for the intermediate user, requiring advanced skills and tools to transform it into useful information. Currently, remote sensing data is increasingly freely and openly available from different satellite platforms. However, the variety of images in terms of different types of sensors, spatial and spectral resolutions generates limitations due to the heterogeneity and complexity of the data, making it difficult to exploit the full potential of satellite imagery. Addressing this issue requires new approaches to organize, manage, and analyse remote-sensing imagery. This paper focuses on the growing trend based on satellite EO and the analysis-ready data (ARD) to integrate two public optical satellite missions: Landsat 8 (L8) and Sentinel 2 (S2). This paper proposes a new way to combine S2 and L8 imagery based on a Local Nested Grid (LNG). The LNG designed plays a key role in the development of new products within the European EO downstream sector, which must incorporate assimilation techniques and interoperability best practices, automatization, systemization, and integrated web-based services that will potentially lead to pre-operational downstream services. The approach was tested in the Duero river basin (78,859 km2) and in the groundwater Mancha Oriental (7279 km2) in the Jucar river basin, Spain. In addition, a viewer based on Geoserver was prepared for visualizing the LNG of S2 and L8, and the Normalized Difference Vegetation Index (NDVI) values in points. Thanks to the LNG presented in this paper, the processing, storage, and publication tasks are optimal for the combined use of images from two different satellite sensors when the relationship between spatial resolutions is an integer (3 in the case of L8 and S2).

ACS Style

David Hernández-López; Laura Piedelobo; Miguel Moreno; Amal Chakhar; Damián Ortega-Terol; Diego González-Aguilera. Design of a Local Nested Grid for the Optimal Combined Use of Landsat 8 and Sentinel 2 Data. Remote Sensing 2021, 13, 1546 .

AMA Style

David Hernández-López, Laura Piedelobo, Miguel Moreno, Amal Chakhar, Damián Ortega-Terol, Diego González-Aguilera. Design of a Local Nested Grid for the Optimal Combined Use of Landsat 8 and Sentinel 2 Data. Remote Sensing. 2021; 13 (8):1546.

Chicago/Turabian Style

David Hernández-López; Laura Piedelobo; Miguel Moreno; Amal Chakhar; Damián Ortega-Terol; Diego González-Aguilera. 2021. "Design of a Local Nested Grid for the Optimal Combined Use of Landsat 8 and Sentinel 2 Data." Remote Sensing 13, no. 8: 1546.

Journal article
Published: 15 April 2021 in Revista Facultad de Ingeniería Universidad de Antioquia
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Low enthalpy geothermal resources play an essential role in climate change mitigation. When ensuring the correct future operation of ground-source heat pump systems, an accurate design is mandatory. In this sense, different methodologies can be implemented. Although using sophisticated software constitutes the most optimal solution, its implementation is sometimes inviable in certain projects (the increase of the initial investment required is not justified in small plants). This work is focused on evaluating and comparing procedures used in the design of shallow geothermal systems. Thus, the research includes a simple method based on manual calculations, the Climasoft free application, Earth Energy Designer (EED) software, and the new geothermal tool GES-CAL developed by researchers from the TIDOP Research Group (University of Salamanca). The objective is to evaluate this new software and compare the results of all the detailed methodologies. This comparison derives from applying these tools in the calculation of the same case study (a single-family house placed in Ávila, Spain). Results show that the easiest methods involve oversized well-field schemas that also mean higher initial investments. Regarding GES-CAL, it is considered an accurate and valid alternative for the design of all heat exchanger configurations, especially for those installations placed in the region of Ávila. However, EED is recommended to calculate high-power geothermal systems that require an exhaustive analysis of the ground and the heat carrier fluid behaviour.

ACS Style

Cristina Sáez-Blázquez; Ignacio Martín-Nieto; Arturo Farfán-Martín; Diego González-Aguilera. Evaluation of different methodologies for the design of the wellfield in shallow geothermal systems. Revista Facultad de Ingeniería Universidad de Antioquia 2021, 1 .

AMA Style

Cristina Sáez-Blázquez, Ignacio Martín-Nieto, Arturo Farfán-Martín, Diego González-Aguilera. Evaluation of different methodologies for the design of the wellfield in shallow geothermal systems. Revista Facultad de Ingeniería Universidad de Antioquia. 2021; ():1.

Chicago/Turabian Style

Cristina Sáez-Blázquez; Ignacio Martín-Nieto; Arturo Farfán-Martín; Diego González-Aguilera. 2021. "Evaluation of different methodologies for the design of the wellfield in shallow geothermal systems." Revista Facultad de Ingeniería Universidad de Antioquia , no. : 1.

Journal article
Published: 02 April 2021 in Applied Sciences
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Thermal characterization of soils is essential for many applications, including design of geothermal systems. Traditional devices focus on the computation of thermal conductivity, omitting the analysis of the convection effect, which is important for horizontal geothermal systems. In this paper, a procedure based on the monitoring of the surface of the soil with a thermal infrared (TIR) camera is developed for the evaluation of the global thermal imbalance on the surface and in-depth. This procedure allows for the computation of thermal conductivity and global convection heat rate, consequently constituting a complete thermal characterization of the geothermal system. The validation of the results is performed through the evaluation of the radiometric calibration of the thermal infrared camera used for the monitoring and the comparison of the thermal conductivity values obtained in-depth, with traditional methods, and for the surface of the system.

ACS Style

Susana Del Pozo; Cristina Sáez Blázquez; Ignacio Martín Nieto; Susana Lagüela. Integrated Approach for Detecting Convection Effects in Geothermal Environments Based on TIR Camera Measurements. Applied Sciences 2021, 11, 3185 .

AMA Style

Susana Del Pozo, Cristina Sáez Blázquez, Ignacio Martín Nieto, Susana Lagüela. Integrated Approach for Detecting Convection Effects in Geothermal Environments Based on TIR Camera Measurements. Applied Sciences. 2021; 11 (7):3185.

Chicago/Turabian Style

Susana Del Pozo; Cristina Sáez Blázquez; Ignacio Martín Nieto; Susana Lagüela. 2021. "Integrated Approach for Detecting Convection Effects in Geothermal Environments Based on TIR Camera Measurements." Applied Sciences 11, no. 7: 3185.

Journal article
Published: 25 March 2021 in Remote Sensing
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This work aims at enhancing the current methodologies used for generating as-built CAD models suitable for advanced numerical simulations. To this end, this paper proposes the use of a wearable mobile mapping system that allows one to improve the digitalization stage in terms of flexibility and time required. The noise showed by the resulting point cloud, based on the simultaneous location and mapping (SLAM) solution, demands a post-processing stage that introduces the use of a parameter-free noise reduction filter. This filter improves the quality of the point cloud, allowing for the adjustment of surfaces by means of parametric and non-parametric shapes. These shapes are created by using reverse engineering procedures. The results showed during this investigation highlight a novel application of this sensor: the creation of as-built CAD models for advanced numerical simulations. The results of this investigation are complemented by a valuable contribution with respect to the use of an advanced restoration solution, by means of textile reinforced mortar. To this end, the CAD model is used as the geometrical base for several numerical simulations by means of the finite element method. All this procedure is applied in a construction with structural problems.

ACS Style

Luis Sánchez-Aparicio; Rocío Mora; Borja Conde; Miguel Maté-González; María Sánchez-Aparicio; Diego González-Aguilera. Integration of a Wearable Mobile Mapping Solution and Advance Numerical Simulations for the Structural Analysis of Historical Constructions: A Case of Study in San Pedro Church (Palencia, Spain). Remote Sensing 2021, 13, 1252 .

AMA Style

Luis Sánchez-Aparicio, Rocío Mora, Borja Conde, Miguel Maté-González, María Sánchez-Aparicio, Diego González-Aguilera. Integration of a Wearable Mobile Mapping Solution and Advance Numerical Simulations for the Structural Analysis of Historical Constructions: A Case of Study in San Pedro Church (Palencia, Spain). Remote Sensing. 2021; 13 (7):1252.

Chicago/Turabian Style

Luis Sánchez-Aparicio; Rocío Mora; Borja Conde; Miguel Maté-González; María Sánchez-Aparicio; Diego González-Aguilera. 2021. "Integration of a Wearable Mobile Mapping Solution and Advance Numerical Simulations for the Structural Analysis of Historical Constructions: A Case of Study in San Pedro Church (Palencia, Spain)." Remote Sensing 13, no. 7: 1252.

Conference paper
Published: 07 February 2021 in Communications in Computer and Information Science
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The reduction of CO2 emissions in cities implies the generation of clean energy for the supply of the municipal energy demand. In the conversion to Smart Cities, the consumption sources and the generation possibilities should be considered as a whole, in such a way that all the urban elements can be integrated in the energy mix. In this study, bus shelters are evaluated as potential energy generators. The installation of PV panels with the optimal configuration can contribute to the supply of the energy needed in the bus shelter, but also to the generation of surplus energy. The analysis of the possibilities and the definition of the recommendable configuration of PV installations in bus shelters are performed using the city of Ávila (Spain) as case study. In this city, the PV generation reached with the optimal configuration (3500 kWh/year) can cover the energy demand of the bus shelters, including their role as lighting points in the city, and being able to contribute to other energy demands. For this study, geospatial information and a solar radiation model are incorporated in a Geospatial Information System (GIS) tool, specially developed to replicate this study in other cities.

ACS Style

M. Sánchez-Aparicio; S. Lagüela; J. Martín-Jiménez; S. Del Pozo; E. González-González; P. Andrés-Anaya. Smart Mobility in Cities: GIS Analysis of Solar PV Potential for Lighting in Bus Shelters in the City of Ávila. Communications in Computer and Information Science 2021, 154 -166.

AMA Style

M. Sánchez-Aparicio, S. Lagüela, J. Martín-Jiménez, S. Del Pozo, E. González-González, P. Andrés-Anaya. Smart Mobility in Cities: GIS Analysis of Solar PV Potential for Lighting in Bus Shelters in the City of Ávila. Communications in Computer and Information Science. 2021; ():154-166.

Chicago/Turabian Style

M. Sánchez-Aparicio; S. Lagüela; J. Martín-Jiménez; S. Del Pozo; E. González-González; P. Andrés-Anaya. 2021. "Smart Mobility in Cities: GIS Analysis of Solar PV Potential for Lighting in Bus Shelters in the City of Ávila." Communications in Computer and Information Science , no. : 154-166.

Journal article
Published: 05 February 2021 in Applied Sciences
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Total and automatic digitalization of indoor spaces in 3D implies a great advance in building maintenance and construction tasks, which currently require visits and manual works. Terrestrial laser scanners (TLS) have been widely used for these tasks, although the acquisition methodology with TLS systems is time consuming, and each point cloud is acquired in a different coordinate system, so the user has to post-process the data to clean and get a unique point cloud of the whole scenario. This paper presents a solution for the automatic data acquisition and registration of point clouds from indoor scenes, designed for point clouds acquired with a terrestrial laser scanner (TLS) mounted on an unmanned ground vehicle (UGV). The methodology developed allows the generation of one complete dense 3D point cloud consisting of the acquired point clouds registered in the same coordinate system, reaching an accuracy below 1 cm in section dimensions and below 1.5 cm in walls thickness, which makes it valid for quality control in building works. Two different study cases corresponding to building works were chosen for the validation of the method, showing the applicability of the methodology developed for tasks related to the control of the evolution of the construction.

ACS Style

Rocio Mora; Jose Martín-Jiménez; Susana Lagüela; Diego González-Aguilera. Automatic Point-Cloud Registration for Quality Control in Building Works. Applied Sciences 2021, 11, 1465 .

AMA Style

Rocio Mora, Jose Martín-Jiménez, Susana Lagüela, Diego González-Aguilera. Automatic Point-Cloud Registration for Quality Control in Building Works. Applied Sciences. 2021; 11 (4):1465.

Chicago/Turabian Style

Rocio Mora; Jose Martín-Jiménez; Susana Lagüela; Diego González-Aguilera. 2021. "Automatic Point-Cloud Registration for Quality Control in Building Works." Applied Sciences 11, no. 4: 1465.

Journal article
Published: 21 December 2020 in Applied Sciences
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The fossil record is notorious for being incomplete and distorted, frequently conditioning the type of knowledge that can be extracted from it. In many cases, this often leads to issues when performing complex statistical analyses, such as classification tasks, predictive modelling, and variance analyses, such as those used in Geometric Morphometrics. Here different Generative Adversarial Network architectures are experimented with, testing the effects of sample size and domain dimensionality on model performance. For model evaluation, robust statistical methods were used. Each of the algorithms were observed to produce realistic data. Generative Adversarial Networks using different loss functions produced multidimensional synthetic data significantly equivalent to the original training data. Conditional Generative Adversarial Networks were not as successful. The methods proposed are likely to reduce the impact of sample size and bias on a number of statistical learning applications. While Generative Adversarial Networks are not the solution to all sample-size related issues, combined with other pre-processing steps these limitations may be overcome. This presents a valuable means of augmenting geometric morphometric datasets for greater predictive visualization.

ACS Style

Lloyd A. Courtenay; Diego González-Aguilera. Geometric Morphometric Data Augmentation Using Generative Computational Learning Algorithms. Applied Sciences 2020, 10, 9133 .

AMA Style

Lloyd A. Courtenay, Diego González-Aguilera. Geometric Morphometric Data Augmentation Using Generative Computational Learning Algorithms. Applied Sciences. 2020; 10 (24):9133.

Chicago/Turabian Style

Lloyd A. Courtenay; Diego González-Aguilera. 2020. "Geometric Morphometric Data Augmentation Using Generative Computational Learning Algorithms." Applied Sciences 10, no. 24: 9133.

Journal article
Published: 18 December 2020 in Energies
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Usually thermal response tests are restricted to big geothermal projects; the high investment makes them less suitable for designing domestic low-enthalpy geothermal energy systems. The work here presented aims to study the influence of time reduction in thermal response tests on their precision. Due to the importance of the correct assessment of the thermal characterization of the ground for any kind of geothermal system, time reduction in this essay could make it more affordable to be implemented in some domestic systems. A thermal response test has been implemented, and several time intervals of the test have been considered in order to obtain different results for the thermal conductivity of the ground. The mentioned results have been then compared and also the domestic geothermal systems designed from them by the use of the geothermal software GES-CAL. Results have shown that, in some cases (our testing borehole has some singular characteristics), a significant time reduction in the data acquisition process of the thermal response test does not compromise seriously the precision of the results.

ACS Style

Ignacio Nieto; Cristina Blázquez; Arturo Martín; Diego González-Aguilera. Analysis of the Influence of Reducing the Duration of a Thermal Response Test in a Water-Filled Geothermal Borehole Located in Spain. Energies 2020, 13, 6693 .

AMA Style

Ignacio Nieto, Cristina Blázquez, Arturo Martín, Diego González-Aguilera. Analysis of the Influence of Reducing the Duration of a Thermal Response Test in a Water-Filled Geothermal Borehole Located in Spain. Energies. 2020; 13 (24):6693.

Chicago/Turabian Style

Ignacio Nieto; Cristina Blázquez; Arturo Martín; Diego González-Aguilera. 2020. "Analysis of the Influence of Reducing the Duration of a Thermal Response Test in a Water-Filled Geothermal Borehole Located in Spain." Energies 13, no. 24: 6693.

Preprint
Published: 27 November 2020
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The fossil record is notorious for being incomplete and distorted, frequently conditioning the type of knowledge that can be extracted from it. In many cases, this often leads to issues when performing complex statistical analyses, such as classification tasks, predictive modelling, and variance analyses, such as those used in Geometric Morphometrics. Here different Generative Adversarial Network architectures are experimented with, testing the effects of sample size and domain dimensionality on model performance. For model evaluation, robust statistical methods were used. Each of the algorithms were observed to produce realistic data. Generative Adversarial Networks using different loss functions produced multidimensional synthetic data significantly equivalent to the original training data. Conditional Generative Adversarial Networks were not as successful. The methods proposed are likely to reduce the impact of sample size and bias on a number of statistical learning applications. While Generative Adversarial Networks are not the solution to all sample-size related issues, combined with other pre-processing steps these limitations may be overcome. This presents a valuable means of augmenting geometric morphometric datasets for greater predictive visualization.

ACS Style

Lloyd A. Courtenay; Diego González-Aguilera. Geometric Morphometric Data Augmentation using Generative Computational Learning Algorithms. 2020, 1 .

AMA Style

Lloyd A. Courtenay, Diego González-Aguilera. Geometric Morphometric Data Augmentation using Generative Computational Learning Algorithms. . 2020; ():1.

Chicago/Turabian Style

Lloyd A. Courtenay; Diego González-Aguilera. 2020. "Geometric Morphometric Data Augmentation using Generative Computational Learning Algorithms." , no. : 1.

Journal article
Published: 13 November 2020 in Remote Sensing
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The use of LiDAR (Light Detection and Ranging) data for the definition of the 3D geometry of roofs has been widely exploited in recent years for its posterior application in the field of solar energy. Point density in LiDAR data is an essential characteristic to be taken into account for the accurate estimation of roof geometry: area, orientation and slope. This paper presents a comparative study between LiDAR data of different point densities: 0.5, 1, 2 and 14 points/m2 for the measurement of the area of roofs of residential and industrial buildings. The data used for the study are the LiDAR data freely available by the Spanish Institute of Geography (IGN), which is offered according to the INSPIRE Directive. The results obtained show different behaviors for roofs with an area below and over 200 m2. While the use of low-density point clouds (0.5 point/m2) presents significant errors in the estimation of the area, the use of point clouds with higher density (1 or 2 points/m2) implies a great improvement in the area results, with no significant difference among them. The use of high-density point clouds (14 points/m2) also implies an improvement of the results, although the accuracy does not increase in the same ratio as the increase in density regarding 1 or 2 points/m2. Thus, the conclusion reached is that the geometrical characterization of roofs requires data acquisition with point density of 1 or 2 points/m2, and that higher point densities do not improve the results with the same intensity as they increase computation time.

ACS Style

María Sánchez-Aparicio; Susana Del Pozo; Jose Martín-Jiménez; Enrique González-González; Paula Andrés-Anaya; Susana Lagüela. Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities. Remote Sensing 2020, 12, 3726 .

AMA Style

María Sánchez-Aparicio, Susana Del Pozo, Jose Martín-Jiménez, Enrique González-González, Paula Andrés-Anaya, Susana Lagüela. Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities. Remote Sensing. 2020; 12 (22):3726.

Chicago/Turabian Style

María Sánchez-Aparicio; Susana Del Pozo; Jose Martín-Jiménez; Enrique González-González; Paula Andrés-Anaya; Susana Lagüela. 2020. "Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities." Remote Sensing 12, no. 22: 3726.

Journal article
Published: 10 November 2020 in Automation in Construction
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This work presents an approach for the preventive conservation of historical constructions by means of Historical Building Information Modelling (HBIM) strategies. To this end, the methodology exploits the latest advances in inspection protocols, digitalization tools -by means of the novel back-pack mapping systems- as well as wireless monitoring networks. All this information is integrated in the HBIM environment by using ad-hoc families and interoperable communication protocols that allow obtaining a complete knowledge of the conservation status of the site. Additionally, the approach uses key performance indicators in order to evaluate the environmental conditions of the different assets presented in the site. All these features have been validated in one of the most representative heritage buildings in Spain: The General Historical Library of the University of Salamanca.

ACS Style

Rocío Mora; Luis Javier Sánchez-Aparicio; Miguel Ángel Maté-González; Joaquín García-Álvarez; María Sánchez-Aparicio; Diego González-Aguilera. An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca. Automation in Construction 2020, 121, 103449 .

AMA Style

Rocío Mora, Luis Javier Sánchez-Aparicio, Miguel Ángel Maté-González, Joaquín García-Álvarez, María Sánchez-Aparicio, Diego González-Aguilera. An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca. Automation in Construction. 2020; 121 ():103449.

Chicago/Turabian Style

Rocío Mora; Luis Javier Sánchez-Aparicio; Miguel Ángel Maté-González; Joaquín García-Álvarez; María Sánchez-Aparicio; Diego González-Aguilera. 2020. "An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca." Automation in Construction 121, no. : 103449.

Journal article
Published: 15 October 2020 in Energies
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The geothermal resources in Spain have been a source of deep research in recent years and are, in general, well-defined. However, there are some areas where the records from the National Institute for Geology and Mining show thermal activity from different sources despite no geothermal resources being registered there. This is the case of the area in the south of the Duero basin where this research was carried out. Seizing the opportunity of a deep borehole being drilled in the location, some geophysical resources were used to gather information about the geothermal properties of the area. The employed geophysical methods were time-domain electromagnetics (TDEM) and borehole logging; the first provided information about the depth of the bedrock and the general geological structure, whereas the second one gave more detail on the geological composition of the different layers and a temperature record across the whole sounding. The results allowed us to establish the geothermal gradient of the area and to discern the depth of the bedrock. Using the first 200 m of the borehole logging, the thermal conductivity of the ground for shallow geothermal systems was estimated.

ACS Style

Ignacio Nieto; Pedro Carrasco García; Cristina Sáez Blázquez; Arturo Farfán Martín; Diego González-Aguilera; Javier Carrasco García. Geophysical Prospecting for Geothermal Resources in the South of the Duero Basin (Spain). Energies 2020, 13, 5397 .

AMA Style

Ignacio Nieto, Pedro Carrasco García, Cristina Sáez Blázquez, Arturo Farfán Martín, Diego González-Aguilera, Javier Carrasco García. Geophysical Prospecting for Geothermal Resources in the South of the Duero Basin (Spain). Energies. 2020; 13 (20):5397.

Chicago/Turabian Style

Ignacio Nieto; Pedro Carrasco García; Cristina Sáez Blázquez; Arturo Farfán Martín; Diego González-Aguilera; Javier Carrasco García. 2020. "Geophysical Prospecting for Geothermal Resources in the South of the Duero Basin (Spain)." Energies 13, no. 20: 5397.

Journal article
Published: 10 October 2020 in Historical Biology
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Lloyd A. Courtenay; José Yravedra; Miguel Ángel Maté-González; José Mª Vázquez-Rodríguez; Maximiliano Fernández-Fernández; Diego González-Aguilera. The effects of prey size on carnivore tooth mark morphologies on bone; the case study of Canis lupus signatus. Historical Biology 2020, 1 -13.

AMA Style

Lloyd A. Courtenay, José Yravedra, Miguel Ángel Maté-González, José Mª Vázquez-Rodríguez, Maximiliano Fernández-Fernández, Diego González-Aguilera. The effects of prey size on carnivore tooth mark morphologies on bone; the case study of Canis lupus signatus. Historical Biology. 2020; ():1-13.

Chicago/Turabian Style

Lloyd A. Courtenay; José Yravedra; Miguel Ángel Maté-González; José Mª Vázquez-Rodríguez; Maximiliano Fernández-Fernández; Diego González-Aguilera. 2020. "The effects of prey size on carnivore tooth mark morphologies on bone; the case study of Canis lupus signatus." Historical Biology , no. : 1-13.

Journal article
Published: 08 September 2020 in Sensors
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A new roadway eventual obstacle detection system based on computer vision is described and evaluated. This system uses low-cost hardware and open-source software to detect and classify moving elements in roads using infra-red and colour video images as input data. This solution represents an important advancement to prevent road accidents due to eventual obstacles which have considerably increased in the past decades, mainly with wildlife. The experimental evaluation of the system demonstrated that the proposed solution detects and classifies correctly different types of moving obstacles on roads, working robustly under different weather and illumination conditions.

ACS Style

Mariano Gonzalez-De-Soto; Rocio Mora; José Antonio Martín-Jiménez; Diego Gonzalez-Aguilera. A New Roadway Eventual Obstacle Detection System Based on Computer Vision. Sensors 2020, 20, 5109 .

AMA Style

Mariano Gonzalez-De-Soto, Rocio Mora, José Antonio Martín-Jiménez, Diego Gonzalez-Aguilera. A New Roadway Eventual Obstacle Detection System Based on Computer Vision. Sensors. 2020; 20 (18):5109.

Chicago/Turabian Style

Mariano Gonzalez-De-Soto; Rocio Mora; José Antonio Martín-Jiménez; Diego Gonzalez-Aguilera. 2020. "A New Roadway Eventual Obstacle Detection System Based on Computer Vision." Sensors 20, no. 18: 5109.

Journal article
Published: 21 August 2020 in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The increase in urbanization of cities coupled with some effects of climate change is leading to the emergence of urban microclimates. The rising temperatures in cities create the phenomenon known as Urban Heat Island (UHI). This is a difference between the temperature of urban and rural areas that intensifies more during the night and varies according to the season of the year. This paper focuses on the estimation of the UHI and its variations in and around the city of Strasbourg. To this end, thermal remote sensing data from different satellite has been used to isolate and analyse this phenomenon, specifically, Land Surface Temperatures (LSTs) provided by ASTER and MODIS. The LST provided by these sensors has been compared to air temperatures of the last 15 years from meteorological stations distributed throughout the city that have served as ground truth. Forty-seven meteorological stations spread throughout the area of interest provided measurements of air humidity and temperature. This valuable data base has allowed the assessment of the correlations between LST from satellite and ground truth air temperature. Based on satellite data resampled at different spatial units, this work led to the creation of the first UHI map of Strasbourg.

ACS Style

S. Del Pozo; T. Landes; F. Nerry; P. Kastendeuch; G. Najjar; N. Philipps; S. Lagüela. UHI ESTIMATION BASED ON ASTER AND MODIS SATELLITE IMAGERY: FIRST RESULTS ON STRASBOURG CITY, FRANCE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2020, XLIII-B3-2, 799 -805.

AMA Style

S. Del Pozo, T. Landes, F. Nerry, P. Kastendeuch, G. Najjar, N. Philipps, S. Lagüela. UHI ESTIMATION BASED ON ASTER AND MODIS SATELLITE IMAGERY: FIRST RESULTS ON STRASBOURG CITY, FRANCE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2020; XLIII-B3-2 ():799-805.

Chicago/Turabian Style

S. Del Pozo; T. Landes; F. Nerry; P. Kastendeuch; G. Najjar; N. Philipps; S. Lagüela. 2020. "UHI ESTIMATION BASED ON ASTER AND MODIS SATELLITE IMAGERY: FIRST RESULTS ON STRASBOURG CITY, FRANCE." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2, no. : 799-805.