Enrique Perez Martin

@upm.es

Profesor. Departamento de Ingeniería Agroforestal. Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas
Universidad Politécnica de Madrid

Enrique Perez Martin


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https://researchid.co/enrique.perez
Professor since 10/27/21 in the Department of Ingeniería Agroforestal attached to the Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas (ETSIAAB) of the Universidad Politécnica de Madrid. In the same department, from 01/09/2013 until 31/08/2021 hired as Associate Professor with a teaching dedication of 3+3 and from 06/11/2012 until 31/07/2013 with a teaching dedication of 6+6. Teaching in different subjects and degrees in the areas of knowledge of "Cartographic Engineering, Geodesy and Photogrammetry" and "Graphic Expression in Engineering". Non-regulated university teaching experience in Masters, in Certificate of Professionalism, in courses of the Training and Professional Insertion Plan (FIP) and specialization courses totaling more than 600 teaching hours in the area of knowledge of "Cartographic Engineering, Geodesy and Photogrammetry" and "Graphic Expression in Engineering".
18

Scopus Publications

489

Scholar Citations

10

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • Hybrid Methodological Evaluation Using UAV/Satellite Information for the Monitoring of Super-Intensive Olive Groves
    Esther Alfonso, Serafín López-Cuervo, Julián Aguirre, Enrique Pérez-Martín, Iñigo Molina
    Applied Sciences Switzerland, 2025
    Advances in Earth observation technology using multispectral imagery from satellite Earth observation systems and sensors mounted on unmanned aerial vehicles (UAVs) are enabling more accurate crop monitoring. These images, once processed, facilitate the analysis of crop health by enabling the study of crop vigour, the calculation of biomass indices, and the continuous temporal monitoring using vegetation indices (VIs). These indicators allow for the identification of diseases, pests, or water stress, among others. This study compares images acquired with the Altum PT sensor (UAV) and Super Dove (satellite) to evaluate their ability to detect specific problems in super-intensive olive groves at two critical times: January, during pruning, and April, at the beginning of fruit development. Four different VIs were used, and multispectral maps were generated for each: the Normalized Difference Vegetation Index (NDVI), the Green Normalized Difference Vegetation Index (GNDVI), the Normalized Difference Red Edge Index (NDRE) and the Leaf Chlorophyll Index (LCI). Data for each plant (n = 11,104) were obtained for analysis across all dates and sensors. A combined methodology (Spearman’s correlation coefficient, Student’s t-test and decision trees) was used to validate the behaviour of the variables and propose predictive models. The results showed significant differences between the sensors, with a common trend in spatial patterns and a correlation range between 0.45 and 0.68. Integrating both technologies enables multiscale assessment, optimizing agronomic management and supporting more sustainable precision agriculture.
  • Evaluation of 3D Models of Archaeological Remains of Almenara Castle Using Two UAVs with Different Navigation Systems
    Juan López-Herrera, Serafín López-Cuervo, Enrique Pérez-Martín, Miguel Ángel Maté-González, Consuelo Vara Izquierdo, José Martínez Peñarroya, Tomás R. Herrero-Tejedor
    Heritage, 2025
    Improvements in the navigation systems incorporated into unmanned aerial vehicles (UAVs) and new sensors are improving the quality of 3D mapping results. In this study, two flights were compared over the archaeological remains of the castle of Almenara, situated in Cuenca, Spain. We performed one with a DJI Phantom 4 (DJI Innovations Co., Ltd., Shenzhen, China) and the other with a Matrice 300 RTK (DJI Innovations Co., Ltd., Shenzhen, China) and the new Zenmuse P1 camera (45 mp, RGB sensor). With the help of the new software incorporated into the Zenmuse P1 camera gimbal, we could significantly reduce the flight time. We analysed the data obtained with these two UAVs and the built-in RGB sensors, comparing the flight time, the point cloud, and its resolution and obtaining a three-dimensional reconstruction of the castle. We describe the work and the flights carried out, depending on the type of UAV and its RTK positioning system. The improvement in the positioning system provides improvements in flight accuracy and data acquisition. We compared the results obtained in similar studies, and thanks to the advances in UAVs and their sensors with better resolution, we managed to reduce the data collection time and obtained 3D models with the same results as those from other types of sensors. The accuracies obtained with the RTK and the P1 camera are very high. The volumes calculated for a future archaeological excavation are precise, and the 3D models obtained by these means are excellent for the preservation of the cultural asset. These models can have various uses, such as the preservation of an asset of cultural interest, or even its dissemination and analysis in various studies. We propose to use this technology for similar studies of archaeological documentation and the three-dimensional reconstruction and visualisation of cultural heritage in virtual visits on the web.
  • Using Virtual Reality in the Learning of Geomatic Engineering Education
    Enrique Pérez-Martín, Serafín López-Cuervo Medina, Tomás R. Herrero-Tejedor, Alejandra Ezquerra-Canalejo, Daniel López-Fernández
    IEEE Computer Graphics and Applications, 2024
    Emerging technologies can be effective in enhancing the teaching-learning process. In this paper, virtual reality is used as a tool to support learning and skill acquisition in a subject of geomatics in an engineering degree. The developed tool is an immersive virtual environment that allows access to a first-person observation of the methodology to be followed in the field to carry out the proposed task. In order to validate this tool, a quasi-experiment was performed involving 170 students and several instruments to assess the knowledge acquisition of these students and their perceptions towards the learning experience. The obtained results indicate that the use of virtual reality in the field of geomatics may be a promising means of conveying new knowledge and enhancing learning and competence acquisition in geomatics.
  • Documentation and Virtualisation of Vernacular Cultural Heritage: The Case of Underground Wine Cellars in Atauta (Soria)
    Tomás Ramón Herrero-Tejedor, Miguel Ángel Maté-González, Enrique Pérez-Martín, Serafín López-Cuervo, Juan López de Herrera, Luis Javier Sánchez-Aparicio, Paula Villanueva Llauradó
    Heritage, 2023
    The cultural heritage associated with rural systems is extremely valuable and is a sign of identity for cultures that are disappearing or undergoing transformation. This paper explains and illustrates the series of procedures that have been carried out to document and subsequently virtualise the ethnological site of the “El Plantío” underground wine cellars in Atauta. The ensembles of underground wine cellars are located immediately outside the village of Atauta, from which they are separated by the stream of Arroyo de la Laguna or Golbán, thus giving rise to two environments that are characterised by the perfect interrelation between their natural and architectural heritage. The visual and scenic relations between both these elements make this area a prime example of a cultural heritage that is associated with wine production systems. This documentation was obtained through a combination of different geomatic techniques. The results are organised on a web platform to enable their digital visualisation (2D/3D). This platform provides a virtual environment such that users can understand these underground heritage assets in an integrated way together with the immaterial cultural heritage and the cultural landscape—all of which converge on this ethnological site. The project offers different types of audiences, both real and virtual, access to all of the documentation.
  • Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery
    Andrés F. Almeida-Ñauñay, Ana M. Tarquis, Juan López-Herrera, Enrique Pérez-Martín, José L. Pancorbo, María D. Raya-Sereno, Miguel Quemada
    Computers and Electronics in Agriculture, 2023
    Grain yield and quality assessment based on remote sensing throughout the growth cycle may contribute to achieve efficient and sustainable wheat production. A trial was conducted to test the suitability of a multispectral sensor onboard an unmanned aerial vehicle (UAV) to estimate yield, protein content, and nitrogen (N) output in winter wheat (Triticum aestivum L.). Furthermore, a method to improve predictions of wheat traits was proposed by sequentially removing soil pixels from the distribution of vegetation index (VI) values. The experimental area, located at Aranjuez (Madrid, Spain), was divided into four sectors with 133 plots in total. Different N doses were applied to the plots to create high experimental intravariability. In each plot, wheat traits were measured at harvest. An (UAV) was flown at growth stages (GS) – GS32, GS39, and GS65 – to ensure correct monitoring of the crop. Four VIs, Normalized Difference Vegetation Index (NDVI), Modified Soil Vegetation Index (MSAVI), Normalized Difference Red Edge Index (NDRE) and Blue-Red Index (BRI1) were selected based on the sensor spectral information and their suitability for estimating wheat traits. A sequential cutting method (threshold value optimization, TVO) was implemented to remove soil background pixels, based on threshold values computed from the VIs distributions. Then, the predictive performance of the VIs in each segmentation was evaluated. Our results indicated that NDVI, MSAVI, and NDRE were able to predict the wheat traits using sensors onboard a UAV. We proposed optimal thresholds ranging from 0.1 to 0.3 depending on the VI and the wheat trait. The TVO method showed an improvement in yield and N output estimation at the stem elongation growth stage (GS32). However, the TVO method achieved a limited improvement in estimating protein content at anthesis (GS65). Overall, our results suggest (a) that soil background reflectance is an essential element of UAV imagery that introduces uncertainty in the estimation of grain yield and quality based on VIs, and (b) that TVO may mitigate the soil effect.
  • Assessment of tree diameter estimation methods from mobile laser scanning in a historic garden
    Enrique Pérez-Martín, Serafín López-Cuervo Medina, Tomás Herrero-Tejedor, Miguel Angel Pérez-Souza, Julian Aguirre de Mata, Alejandra Ezquerra-Canalejo
    Forests, 2021
    Geo-referenced 3D models are currently in demand as an initial knowledge base for cultural heritage projects and forest inventories. The mobile laser scanning (MLS) used for geo-referenced 3D models offers ever greater efficiency in the acquisition of 3D data and their subsequent application in the fields of forestry. In this study, we have analysed the performance of an MLS with simultaneous localisation and mapping technology (SLAM) for compiling a tree inventory in a historic garden, and we assessed the accuracy of the estimates of diameter at breast height (DBH, a height of 1.30 m) calculated from three fitting algorithms: RANSAC, Monte Carlo, and Optimal Circle. The reference sample used was 378 trees from the Island Garden, a historic garden and UNESCO World Heritage site in Aranjuez, Spain. The time taken to acquire the data by MLS was 27 min 37 s, in an area of 2.38 ha. The best results were obtained with the Monte Carlo fitting algorithm, which was able to estimate the DBH of 77% of the 378 trees in the study, with a root mean squared error (RMSE) of 5.31 cm and a bias of 1.23 cm. The proposed methodology enabled a supervised detection of the trees and automatically estimated the DBH of most trees in the study, making this a useful tool for the management and conservation of a historic garden.
  • Environmental assessment of Obstacle Limitation Surfaces (OLS) in airports using geographic information technologies
    Mª Rosario Contreras-Alonso, Alejandra Ezquerra-Canalejo, Enrique Pérez-Martín, Tomás R. Herrero-Tejedor, Serafín López-Cuervo Medina
    Plos One, 2020
    A series of 3D obstacle limitation surfaces (OLS) define the limits to which objects may project in the airspace in order to configure the airspace around aerodromes that must be kept free from obstacles. The aim is to ensure that aircraft can safely carry out their scheduled operations, and to prevent the aerodromes from becoming unusable due to the proliferation of obstacles in the surrounding area. One such possible obstacle is the vegetation growing in the zone. This work consists of a study of the variation in the vegetation in the El Prat airport (Barcelona-El Prat Josep Tarradellas) and the surrounding area in the years 2011-2018, and of the way in which it has influenced the configuration of the OLS. Until 2010, obstacle studies were carried out every four years but the growth of plant obstacles during this period was not controlled. Although the rate of tree growth depends on several factors such as age, species, site quality and forestry treatment, the parameter analysed in this research is height, as this is what will interfere in the OLS. This study therefore focuses on measuring the height and geolocation of the obstacle in order to determine its influence on the OLS, and on determining the subsequent actions, if any, that need to be taken in regard to this vegetation element to avoid it becoming a risk to operational safety. As a result, the growth and vulnerability of 84 vegetation obstacles from 794 terrain elements have been detected. The result of this study is the design, using geographic information systems, of a tool to assist airport managers in the automated control and monitoring of the vegetation in the obstacle limitation surfaces to avoid compromising the safety of airport operations and mitigating environmental impacts.
  • Assessment of dsms using backpack-mounted systems and drone techniques to characterise ancient underground cellars in the duero basin (Spain)
    López-Cuervo Medina, Pérez-Martín, Herrero Tejedor, Prieto, Velasco, Conejo Martín, Ezquerra-Canalejo, Aguirre de Mata
    Sensors Switzerland, 2019
    In this study, a backpack-mounted 3D mobile scanning system and a fixed-wing drone (UAV) have been used to register terrain data on the same space. The study area is part of the ancient underground cellars in the Duero Basin. The aim of this work is to characterise the state of the roofs of these wine cellars by obtaining digital surface models (DSM) using the previously mentioned systems to detect any possible cases of collapse, using four geomatic products obtained with these systems. The results obtained from the process offer sufficient quality to generate valid DSMs in the study area or in a similar area. One limitation of the DSMs generated by backpack MMS is that the outcome depends on the distance of the points to the axis of the track and on the irregularities in the terrain. Specific parameters have been studied, such as the measuring distance from the scanning point in the laser scanner, the angle of incidence with regard to the ground, the surface vegetation, and any irregularities in the terrain. The registration speed and the high definition of the terrain offered by these systems produce a model that can be used to select the correct conservation priorities for this unique space.
  • Vegetation indices from remote sensing imagery as proxies for yield and grain N in wheat
    M. Quemada, J.L. Pancorbo, M. Alonso-Ayuso, J.L. Gabriel, J. López-Herrera, E. Pérez-Martín
    Precision Agriculture 2019 Papers Presented at the 12th European Conference on Precision Agriculture Ecpa 2019, 2019
    The use of vegetation indices (VIs) might help to adjust fertilizer and irrigation, increase yield and reduce costs and nitrogen (N) losses. The objectives were to evaluate the use of VIs extracted from remote sensing imagery to estimate crop N status, yield and grain N content in wheat (Triticum aestivum, L.). A field experiment conducted with four N fertilizer levels randomly distributed in 32 plots (25×25 m2), half irrigated and half rain-fed. At two sampling times, biomass and N uptake were determined, ground sensors measurements were taken, and multi-spectral imagery was acquired by an unmanned aerial vehicle. At harvest, yield was recorded with a combine and grain N determined. VIs obtained from ground measurements were highly correlated with those from the aerial platform. Using planar domain VIs, which relate N concentration and biomass, correlated well to crop N status and showed high potential for fertilizer recommendation, as well as yield and grain N prediction in wheat.
  • Airborne and ground level sensors for monitoring nitrogen status in a maize crop
    Jose L. Gabriel, Pablo J. Zarco-Tejada, P. Juan López-Herrera, Enrique Pérez-Martín, Maria Alonso-Ayuso, Miguel Quemada
    Biosystems Engineering, 2017
    Remote sensing could improve fertilisation by monitoring crop nitrogen (N) status using non-invasive methods. The main goal of this experiment was to test the ability of proximal and airborne sensors to identify the nutritional N status of maize. We compared various indices and combination of indices to select those that provided the best estimation. As airborne images were acquired from different sensors and platforms (drone and airplane) we compared the effect of spatial resolution (SR) on the indices calculated. The study was conducted in a field maize experiment in Aranjuez (Madrid, Spain) during 2015. The experiment consisted of a complete randomized design with five fertiliser rates ranging from 0 to 220 kg N ha−1 and six replications. Readings at ground level were taken with proximal sensors (SPAD® and Dualex®), and airborne data were acquired by flying a multispectral camera and a hyperspectral sensor at 80 and 330 m above ground level, respectively. The aerial imagery was used to calculate N status indices for each plot. Proximal and airborne sensors provided useful information for the assessment of maize N nutritional status. Higher accuracy was obtained with indices combining chlorophyll estimation with canopy structure or with polyphenol indices. Combined indices improved the estimation compared to an individual index and mitigated its saturation at high N concentration values. Plant N concentration was strongly related with TCARI/OSAVI obtained from airborne imagery but not with NDVI. The SR did not affect the performance of structural indices whereas highly influenced the pigment indices. © 2017 The Authors
  • Use of the gyrotheodolite in underground networks of long high-speed railway tunnels
    J. Velasco-Gómez, J. F. Prieto, I. Molina, T. Herrero, J. Fábrega, E. Pérez-Martín
    Survey Review, 2016
  • Characterization of Cavities Using the GPR, LIDAR and GNSS Techniques
    Miguel Angel Conejo-Martín, Tomás Ramón Herrero-Tejedor, Javier Lapazaran, Enrique Perez-Martin, Jaime Otero, Juan F. Prieto, Jesús Velasco
    Pure and Applied Geophysics, 2015
  • Assessment of underground wine cellars using geographic information technologies
    T. Herrero, E. Pérez-Martín, M. A. Conejo-Martín, J. L. de Herrera, A. Ezquerra-Canalejo, J. Velasco-Gómez
    Survey Review, 2015
  • Methodology for designing, observing and computing of underground geodetic networks of large tunnels for high-speed railways
    J. Velasco, T. Herrero, I. Molina, J. López, E. Pérez-Martín, J. Prieto
    Informes De La Construccion, 2015
  • Physics and mathematics in the engineering curriculum: Correlation with applied subjects
    International Journal of Engineering Education, 2014
  • Characterization of underground cellars in the duero basin by GNSS, LIDAR and GPR techniques
    Miguel Angel Conejo-Martín, Tomás Ramón Herrero-Tejedor, Enrique Pérez-Martín, Javier Lapazaran-Izargain, Jaime Otero-García, Juan Francisco Prieto-Morín, Jesús Velasco-Gómez
    Lecture Notes in Earth System Sciences, 2014
  • Tutorial 2.0 on technical drawing 3D and visualization
    Juan López de Herrera, Tomás Herrero-Tejedor, Enrique Pérez-Martín, Miguel Ángel Conejo-Martín, Juan Luis Martín-Romero, Jesús Velasco-Gómez
    Procedia Computer Science, 2013
  • Graphic study and geovisualization of the old windmills of La Mancha (Spain)
    Enrique Pérez-Martín, Tomás Ramón Herrero-Tejedor, Miguel Ángel Gómez-Elvira, José Ignacio Rojas-Sola, Miguel Ángel Conejo-Martin
    Applied Geography, 2011

RECENT SCHOLAR PUBLICATIONS

  • Hybrid Methodological Evaluation Using UAV/Satellite Information for the Monitoring of Super-Intensive Olive Groves
    E Alfonso, S López-Cuervo, J Aguirre, E Pérez-Martín, I Molina
    Applied Sciences 15 (20), 11171 , 2025
    2025
    Citations: 5
  • Evaluation of 3D models of archaeological remains of Almenara castle using two UAVs with different navigation systems
    J López-Herrera, S López-Cuervo, E Pérez-Martín, MÁ Maté-González, ...
    Heritage 8 (1), 22 , 2025
    2025
    Citations: 7
  • Using Virtual Reality in the Learning of Geomatic Engineering Education
    E Perez-Martin, SLC Medina, TR Herrero-Tejedor, A Ezquerra-Canalejo, ...
    IEEE Computer Graphics and Applications 44 (6), 77-88 , 2024
    2024
    Citations: 2
  • Documentation and Virtualisation of Vernacular Cultural Heritage: The Case of Underground Wine Cellars in Atauta (Soria)
    TR Herrero-Tejedor, MÁ Maté-González, E Pérez-Martín, S López-Cuervo, ...
    Heritage 6 (7), 5130-5150 , 2023
    2023
    Citations: 18
  • Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery
    AF Almeida-Ñauñay, AM Tarquis, J Lopez-Herrera, E Perez-Martin, ...
    Computers and Electronics in Agriculture 205, 107559 , 2023
    2023
    Citations: 42
  • Hust Index applied in the soil resistance measurements based on a harrow discs sensors
    S López-Cuervo, F Lamas López, M Bakarne Lazcano Lasa, ...
    EGU General Assembly Conference Abstracts, EGU22-13177 , 2022
    2022
  • Propuesta de Aprendizaje Basado en Investigación: Experiencia transversal en el área de Geomática
    E Pérez Martín, S López-Cuervo Medina, J Aguirre de Mata, ...
    Dykinson , 2022
    2022
  • Assessment of tree diameter estimation methods from mobile laser scanning in a historic garden
    E Pérez-Martín, S López-Cuervo Medina, T Herrero-Tejedor, ...
    Forests 12 (8), 1013 , 2021
    2021
    Citations: 26
  • Assessment of tree diameter estimation methods from mobile laser scanning in a historic garden. Forests 2021, 12, 1013
    E Pérez-Martín, S Medina, T Herrero-Tejedor, M Pérez-Souza, J de Mata, ...
    s Note: MDPI stays neutral with regard to jurisdictional claims in published , 2021
    2021
    Citations: 2
  • Environmental assessment of Obstacle Limitation Surfaces (OLS) in airports using geographic information technologies
    MR Contreras-Alonso, A Ezquerra-Canalejo, E Pérez-Martín, ...
    Plos one 15 (2), e0229378 , 2020
    2020
    Citations: 24
  • Assessment of DSMs Using Backpack-Mounted Systems and Drone Techniques to Characterise Ancient Underground Cellars in the Duero Basin (Spain)
    S López-Cuervo Medina, E Pérez-Martín, TR Herrero Tejedor, JF Prieto, ...
    Sensors 19 (24), 5352 , 2019
    2019
    Citations: 2
  • Vegetation indices from remote sensing imagery as proxies for yield and grain N in wheat
    M Quemada, JL Pancorbo, M Alonso-Ayuso, JL Gabriel, J López-Herrera, ...
    Precision agriculture'19, 323-330 , 2019
    2019
    Citations: 10
  • VirtualGEO: geo-information for improvement in engineering learning processes
    JLM Romero, E Pérez-Martín, MR Contreras-Alonso, TRH Tejedor, ...
    INTED2019 Proceedings, 4991-4995 , 2019
    2019
  • A methodological proposal to increase the interest in Science, Technology, Engineering and Mathematics (STEM) in secondary education students
    TRH Tejedor, JLM Romero, E Pérez-Martín, MAC Martín, ...
    INTED2019 Proceedings, 5014-5022 , 2019
    2019
  • Realidad Aumentada y 3D en Expresión Gráfica y Geomática
    E Pérez-Martín, HT TR, C Martín, M Romero, I Sánchez, P Zapata
    10th International Conference on Education and New Learning Technologies , 2018
    2018
    Citations: 1
  • Augmented reality and three-dimensional models of technical drawing and geomatic techniques learning
    JL Martin Romero, E Pérez Martín, TR Herrero Tejedor, MA Conejo Martin, ...
    Agronomica , 2018
    2018
  • Virtual reality immersive of geomatic techniques learning
    JL Martín-Romero, E Pérez-Martín, TRH Tejedor, JF Prieto, JV Gómez, ...
    EDULEARN18 Proceedings, 7177-7181 , 2018
    2018
    Citations: 3
  • Augmented reality and three-dimensional models of technical drawing and geomatic techniques learning
    JLM Romero, E Pérez-Martín, TRH Tejedor, MAC Martín, JF Prieto, ...
    EDULEARN18 Proceedings, 4032-4035 , 2018
    2018
    Citations: 1
  • Airborne and ground level sensors for monitoring nitrogen status in a maize crop
    JL Gabriel, PJ Zarco-Tejada, PJ López-Herrera, E Pérez-Martín, ...
    Biosystems engineering 160, 124-133 , 2017
    2017
    Citations: 175
  • Técnicas de geotrazabilidad y realidad aumentada en uva de vinificación
    J López Herrera, S López Cuervo, TR Herrero Tejedor, E Pérez Martín, ...
    Nuevos modelos de investigación y colaboración en Ingeniería Gráfica. Libro … , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Airborne and ground level sensors for monitoring nitrogen status in a maize crop
    JL Gabriel, PJ Zarco-Tejada, PJ López-Herrera, E Pérez-Martín, ...
    Biosystems engineering 160, 124-133 , 2017
    2017
    Citations: 175
  • Graphic study and geovisualization of the old windmills of La Mancha (Spain)
    E Pérez-Martín, TR Herrero-Tejedor, MÁ Gómez-Elvira, JI Rojas-Sola, ...
    Applied Geography 31 (3), 941-949 , 2011
    2011
    Citations: 43
  • Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery
    AF Almeida-Ñauñay, AM Tarquis, J Lopez-Herrera, E Perez-Martin, ...
    Computers and Electronics in Agriculture 205, 107559 , 2023
    2023
    Citations: 42
  • Physics and mathematics in the engineering curriculum: Correlation with applied subjects
    A Perdigones Borderias, E Gallego Vázquez, MN Garcia Garcia, ...
    International Journal of Engineering Education 30 (6), 1509-1521 , 2014
    2014
    Citations: 27
  • Computer-aided design and engineering: a study of windmills in La Mancha (Spain)
    JI Rojas-Sola, MÁGE González, EP Martín
    Renewable Energy 31 (10), 1471-1482 , 2006
    2006
    Citations: 27
  • Assessment of tree diameter estimation methods from mobile laser scanning in a historic garden
    E Pérez-Martín, S López-Cuervo Medina, T Herrero-Tejedor, ...
    Forests 12 (8), 1013 , 2021
    2021
    Citations: 26
  • Environmental assessment of Obstacle Limitation Surfaces (OLS) in airports using geographic information technologies
    MR Contreras-Alonso, A Ezquerra-Canalejo, E Pérez-Martín, ...
    Plos one 15 (2), e0229378 , 2020
    2020
    Citations: 24
  • Use of the gyrotheodolite in underground networks of long high-speed railway tunnels
    J Velasco-Gómez, JF Prieto, I Molina, T Herrero, J Fábrega, ...
    Survey review 48 (350), 329-337 , 2016
    2016
    Citations: 21
  • Documentation and Virtualisation of Vernacular Cultural Heritage: The Case of Underground Wine Cellars in Atauta (Soria)
    TR Herrero-Tejedor, MÁ Maté-González, E Pérez-Martín, S López-Cuervo, ...
    Heritage 6 (7), 5130-5150 , 2023
    2023
    Citations: 18
  • Assessment of underground wine cellars using geographic information technologies
    T Herrero, E Pérez-Martín, MA Conejo-Martín, JL De Herrera, ...
    Survey Review 47 (342), 202-210 , 2015
    2015
    Citations: 17
  • Vegetation indices from remote sensing imagery as proxies for yield and grain N in wheat
    M Quemada, JL Pancorbo, M Alonso-Ayuso, JL Gabriel, J López-Herrera, ...
    Precision agriculture'19, 323-330 , 2019
    2019
    Citations: 10
  • Characterization of cavities using the GPR, LIDAR and GNSS techniques
    MA Conejo-Martín, TR Herrero-Tejedor, J Lapazaran, E Perez-Martin, ...
    Pure and Applied Geophysics 172 (11), 3123-3137 , 2015
    2015
    Citations: 9
  • Estudio histórico-tecnológico y representación gráfica de los molinos de viento de La Mancha, en la España de los siglos XVI al XIX, mediante técnicas de dibujo asistido por …
    E Pérez Martín
    Agronomos , 2008
    2008
    Citations: 8
  • Evaluation of 3D models of archaeological remains of Almenara castle using two UAVs with different navigation systems
    J López-Herrera, S López-Cuervo, E Pérez-Martín, MÁ Maté-González, ...
    Heritage 8 (1), 22 , 2025
    2025
    Citations: 7
  • Hybrid Methodological Evaluation Using UAV/Satellite Information for the Monitoring of Super-Intensive Olive Groves
    E Alfonso, S López-Cuervo, J Aguirre, E Pérez-Martín, I Molina
    Applied Sciences 15 (20), 11171 , 2025
    2025
    Citations: 5
  • Metodología de diseño, observación y cálculo de redes geodésicas interiores en túneles de ferrocarril de alta velocidad
    J Velasco, T Herrero, I Molina, J López, E Pérez-Martín, J Prieto
    Informes de la Construcción 67 (538), e076-e076 , 2015
    2015
    Citations: 4
  • Tutorial 2.0 on technical drawing 3D and visualization
    JL de Herrera, T Herrero-Tejedor, E Pérez-Martín, MÁ Conejo-Martín, ...
    Procedia Computer Science 25, 108-112 , 2013
    2013
    Citations: 4
  • Virtual reality immersive of geomatic techniques learning
    JL Martín-Romero, E Pérez-Martín, TRH Tejedor, JF Prieto, JV Gómez, ...
    EDULEARN18 Proceedings, 7177-7181 , 2018
    2018
    Citations: 3
  • Web 2.0 en topografía, cartografía y fotogrametría
    TR Herrero Tejedor, E Pérez Martín, MA Conejo Martin, ...
    Agricola , 2013
    2013
    Citations: 3
  • Using Virtual Reality in the Learning of Geomatic Engineering Education
    E Perez-Martin, SLC Medina, TR Herrero-Tejedor, A Ezquerra-Canalejo, ...
    IEEE Computer Graphics and Applications 44 (6), 77-88 , 2024
    2024
    Citations: 2