Marqués Mateu, Ángel

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Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría

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Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica

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Centro Valenciano de Estudios sobre el Riego

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Statistical relationships between soil colour and soil attributes in semiarid areas
(Elsevier, 2013-10) Ibañez Asensio, Sara; Marqués Mateu, Ángel; Moreno Ramón, Héctor; Balasch Parisi, Sebastià; Departamento de Producción Vegetal; Departamento de Estadística e Investigación Operativa Aplicadas y Calidad; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural; Centro de Investigación en Acuicultura y Medio Ambiente
Soil colour has become one of the most innovative indicators used to adjust amendment and fertilizer rates in precision agriculture. This paper uses a combination of colour variables together with geographical, management and pedologic variables in order to find relationships between the three colour components (lightness, hue, and chroma) and several soil characteristics, in a semiarid environment. In these areas soils are weakly developed, and organic matter, nitrogen, phosphorous and iron soil contents are usually low and undergo high spatial variability. Multivariate analysis was used to find statistical relationships that: determine soil colour in those environmental areas; reveal the most appropriate chromatic variables for each case; and determine the interactions between variables that can mask the effects of individual variables. Colour measurements were collected with a trichromatic colorimeter. Eighteen soil variables were used, of which eight resulted in statistically significant correlations with colour components. Those variables were sand (%), clay (%), parent material (marls), soil organic carbon (SOC), carbonate content, total nitrogen (TN), iron, and 1:5 soil:water extract electrical conductivity (EC1:5). Only sand was significant for all three colour components. The content of organic carbon was not significant in multiple regression analysis with respect to soil lightness in this study of semiarid soils. However it was significant in bivariate regression, in the same way as found in other studies. (c) 2013 IAgrE. Published by Elsevier Ltd. All rights reserved.
Diseño de un dispositivo de iluminación de vías públicas con posicionamiento automático
(Editorial Universitat Politècnica de València, 2021-10-01) Garrido, José; Marqués Mateu, Ángel; Martín Furones, Ángel Esteban; Llorens, José; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Grupo de Cartografía, Geodesia y GPS; Agència Valenciana de la Innovació
[EN] Current trends in urban lighting design are focused on factors such as energy efficiency, environmental sustainability, and multi-service effectiveness. As in most urban facilities, geographic location is a key attribute in the management of urban lighting infrastructures, and although street lighting hardware based on IoT devices allow users to connect multiple sensors, GNSS chips are rarely considered in hardware and software design. In this paper, we present the prototype of a lighting device intended for urban networks that allows positioning lampposts. The hardware equipment consists of four fundamental blocks: the BeagleBone Black (BBB) board, the energy manager board, the serial wired LED array, and the RS-485 communication bus. Blocks one and two form a subsystem that we name the energy management system (EMS), while block four is responsible for low level communication with the sensors, particularly the GNSS sensor. After its integration in the network, our device is considered as a node in a branched structure with three hierarchical levels: the operations command centre, the control cabinets, and the lampposts themselves; or in other words, the central, mid, and peripheral node groups respectively. The operation of the positioning procedure is mostly autonomous, starting with the GNSS data collection by the lamppost equipment. All those data are sent to the upper level, i.e. cabinets, for further processing in a different computing environment. This separation reduces the computational requirements of terminal nodes. Nodes in level 2 are also responsible for communicating geolocation updates to nodes in level 3 as well as to the command centre in level 1. Communication tasks rely on HTTP requests over lines that link the three levels. We used the open-source platform Fiware, a framework designed to support smart solutions, which in turn relies on other well-known components such as MongoDB, a NoSQL database system. As a result, we have a positioning procedure that can be embedded into a lighting network that guarantees efficiency and other requirements in modern city management.
Camera characterization for improving color archaeological documentation
(Wiley, 2017-07-12) Molada Tebar, Adolfo; Lerma García, José Luis; Marqués Mateu, Ángel; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Ministerio de Economía y Competitividad
[EN] Determining the correct color is essential for proper cultural heritage documentation and cataloging. However, the methodology used in most cases limits the results since it is based either on perceptual procedures or on the application of color profiles in digital processing software. The objective of this study is to establish a rigorous procedure, from the colorimetric point of view, for the characterization of cameras, following different polynomial models. Once the camera is characterized, users obtain output images in the sRGB space that is independent of the sensor of the camera. In this article we report on pyColorimetry software that was developed and tested taking into account the recommendations of the Commission Internationale de l’Eclairage (CIE). This software allows users to control the entire digital image processing and the colorimetric data workflow, including the rigorous processing of raw data. We applied the methodology on a picture targeting Levantine rock art motifs in Remigia Cave (Spain) that is considered part of a UNESCO World Heritage Site. Three polynomial models were tested for the transformation between color spaces. The outcomes obtained were satisfactory and promising, especially with RAW files. The best results were obtained with a second-order polynomial model, achieving residuals below three CIELAB units. We highlight several factors that must be taken into account, such as the geometry of the shot and the light conditions, which are determining factors for the correct characterization of a digital camera.
Significance of Soil Lightness Versus Physicochemical Soil Properties in Semiarid Areas
(Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2014) Moreno Ramón, Héctor; Marqués Mateu, Ángel; Ibañez Asensio, Sara; Departamento de Producción Vegetal; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural
Modern agriculture aims to encompass all soil attributes to optimize soil use and minimize environmental impacts. One of those attributes is soil color, which allows determining important soil variables for crop management and soil conservation. In this study, the relationships between lightness and several pedologic, topographic, and soil management variables were determined. One hundred and ten topsoil points were sampled in an area where the Mediterranean climate is the only homogeneous soil forming factor. Soil samples were air dried, crushed, and sieved, and lightness measurements were made using a trichromatic colorimeter. The relationships between lightness and soil-related parameters were carried out by means of bivariate linear correlation, and Mann-Witney and Kruskal-Wallis tests. Soil textural fractions (sand and silt), electrical conductivity and carbonates were statistically significant (p<0.001) and exhibited moderate correlation coefficients (0.32 0.45). Topographic variables (slope and aspect), soil organic carbon, iron, nitrogen, pH, and parent material (marls) exhibited lower effect on lightness. The response of lightness to clay content was highly conditioned by iron content. Stoniness, phosphorous, elevation, and soil management variables (irrigation and land use) were not statistically significant. The results obtained with calcareous samples from semiarid areas showed that soil lightness behavior agree with findings in developed soils, despite of the large differences in soil composition and the heterogeneity of the study area.
Statistical grey level and noise evaluation of Foveon X3 and CFA image sensors
(Elsevier, 2013-06) Marqués Mateu, Ángel; Lerma García, José Luis; Riutort Mayol, Gabriel; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Ministerio de Ciencia e Innovación
This paper presents a practical, comprehensive and flexible statistical framework to analyze the radiometric response values and their uncertainty effects on image-based sensor systems. The statistical framework is based on experimental techniques and is tested on two single lens reflex (SLR) cameras powered by different image sensors, Foveon X3 and Color Filter Array (CFA). A colorchecker inside an indoor light booth is used as target. Design of Experiments (DoE) for Linear Models (LM) are derived to analyze and characterize the variability of the output grey level signal (digital number) and their uncertainty effects according to influential factors such as scene reflectance, wavelength range and time. The digital numbers are statistically modeled, and their noise and temporal trend are the uncertainty effects analyzed. Experiments are carried out under laboratory conditions to minimize the rest of uncertainty sources that might affect digital numbers. The flexibility of the statistical framework is confirmed to model and characterize the digital numbers, as well as the noise of a single image and the stability (trend and noise) of a temporal sequence of images.
Ajuste Gaussiano de redes por el método de incrementos de coordenadas
(Real Acadèmia de Cultura Valenciana, 2011-09-22) Jiménez Martínez, Mª Jesús; Quesada Olmo, María Nieves; Villar Cano, Miriam; Paredes Asencio, Jose Manuel; Marqués Mateu, Ángel; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Grupo de Cartografía, Geodesia y GPS
[EN] We want to introduce a new way of performing the Gauss Markov adjustment of a micro geodetic net with ‘Coordinate increases’. It could be applied to angular and distance measurements, also to GNSS observations. We find it is effective and efficient for the prediction, analysis and interpretation of the results. We demonstrate the importance of the similarity of all measurement weights used in the adjustment. It is also clear that is a good way to avoid dealing with the a priori covariance between measurements. In order to assure the validity of the obtained values we propose checking them using both methods: ‘Coordinate increases’ and ‘Homogeneous triangulateration’ (published in www.racv.es/racv digital)
Quantifying the uncertainty of soil colour measurements with Munsell charts using a modified attribute agreement analysis
(Elsevier, 2018) Marqués Mateu, Ángel; Moreno Ramón, Héctor; Balasch Parisi, Sebastià; Ibañez Asensio, Sara; Departamento de Producción Vegetal; Departamento de Estadística e Investigación Operativa Aplicadas y Calidad; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural; Centro de Investigación en Acuicultura y Medio Ambiente
[EN] The use of Munsell colour charts is the classical way of determining colour information in soil science. The procedure is well-known and consists of visually comparing soil samples with colour chips ontained in the charts. This visual approach has several drawbacks and although the chart-based procedure is routinely used, it is not easy to find systematic studies on the accuracy of this methodology. In this paper, we seek to gain insight into the strengths and weaknesses of using soil colour charts as a colour measurement device. The tool used to conduct our study is a modification to the attribute agreement analysis (AAA) method which consists of finding matches between colour standards and colour designations obtained by several appraisers. In the experiment, standards were obtained using a trichromatic colorimeter coupled to a computer program that implements the k nearest neighbour (k-NN) classification algorithm. In order to do the experiment, 276 soil samples were observed twice by four trained appraisers (2208 data records). The naïve count of matches across all the records in the dataset gave <5% of agreement for all three colour components Hue, Value and Chroma. The modified AAA criterion implemented in the study gave a clear increase in all indicators with values ranging from 82.2% to 100% in the agreement within appraisers, 39.5% in the agreement between appraisers, and 42.8% in the agreement of appraisers vs. standards. Results also show that users of the Munsell charts tend to mostly report correct Hues but higher Values and Chromas than true soil colours.
A web-based support system for biometeorological research
(Springer-Verlag, 2021-08) Arroquia-Cuadros, Benjamin; Marqués Mateu, Ángel; Sebastiá Tarín, Laura; Fdez-Arroyabe, Pablo; Departamento de Sistemas Informáticos y Computación; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
[EN] Data are the fundamental building blocks to conduct scientific studies that seek to understand natural phenomena in space and time. The notion of data processing is ubiquitous and nearly operates in any project that requires gaining insight from the data. The increasing availability of information sources, data formats and download services offered to the users, makes it difficult to reuse or exploit the potential of those new resources in multiple scientific fields. In this paper, we present a spatial extract-transform-load (spatial-ETL) approach for downloading atmospheric datasets in order to produce new biometeorological indices and expose them publicly for reuse in research studies. The technologies and processes involved in our work are clearly defined in a context where the GDAL library and the Python programming language are key elements for the development and implementation of the geoprocessing tools. Since the National Oceanic and Atmospheric Administration (NOAA) is the source of information, the ETL process is executed each time this service publishes an updated atmospheric prediction model, thus obtaining different forecasts for spatial and temporal analyses. As a result, we present a web application intended for downloading these newly created datasets after processing, and visualising interactive web maps with the outcomes resulting from a number of geoprocessing tasks. We also elaborate on all functions and technologies used for the design of those processes, with emphasis on the optimisation of the resources as implemented in cloud services
Smartphone-based photogrammetric 3D modelling assessment by comparison with radiological medical imaging for cranial deformation analysis
(Elsevier, 2019-01) Barbero García, Inés; Lerma García, José Luis; Miranda, Pablo; Marqués Mateu, Ángel; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; European Social Fund; Generalitat Valenciana; Universitat Politècnica de València; Instituto de Investigación Sanitaria La Fe
[EN] Cranial deformation in infants is a common problem in paediatric consultations. The most accurate medical diagnostic imaging methodologies are Computed Tomography (CT) and Magnetic Resonance Image (MRI). However, these radiological imaging technologies involve high costs and are invasive, especially for infants. Therefore, they are only used for severe cases, while milder cases are evaluated using less precise methodologies, such as callipers or measure tapes. The use of smartphone-based photogrammetric 3D models has been presented as a possible alternative to extracting accurate and complete external information in a low-cost, non-invasive manner but its accuracy is still to be tested. In this study, photogrammetric and radiological cranial 3D models have been obtained for a set of 10 patients. In order to compare them, the distances between model surfaces have been calculated. Results show an overestimation of the photogrammetric models up to 3.2 mm due to both hair and usage of caps. However, differences in shape, given by the standard deviation of the distances are below 1.5 mm for every patient. The accuracy of low-cost smartphone-based photogrammetric models has been found to be comparable to medical diagnostic imaging methodologies used for cranial deformation analysis. (C) 2018 Elsevier Ltd. All rights reserved.
Triangulation network of 1929-1944 of the first 1:500 urban map of València
(Maney Publishing, 2020-07-03) VILLAR-CANO, MIRIAM; Marqués Mateu, Ángel; Jiménez Martínez, Mª Jesús; Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría; Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica; Centro Valenciano de Estudios sobre el Riego; Grupo de Cartografía, Geodesia y GPS
[EN] Triangulation is a surveying method on which earlier maps made were based. Although the origins of the method can be traced back to the 16th century, it is still used today, with minor changes, to adjust networks observed with modern geodetic techniques. In this paper we present the geodetic survey work that was carried out for the primary triangulation network of the first 1:500 urban map of the city of València (Spain). It spanned from 1929 to 1944 and resulted in 421 maps covering about 174 square kilometres. We focus on four key elements to define the geometric framework of a map: (1) the geodetic network, (2) the cartographic projection, (3) the baseline measurements, and (4) the primary triangulation. The paper is based on the interpretation of original documents and field books recovered from the archives of the València City Council. In order to check the accuracy and consistency of the survey work, we recomputed all calculations directly from the field data, following the mathematical procedures of the time. We obtained a set of transformation parameters to convert the coordinates of 1929 to current coordinates based on the European Terrestrial Reference System of 1989 (ETRS89). Results showed that the 1929 primary triangulation angles and coordinates are accurate to 8 s of arc and 35 cm respectively, and that the coordinates transform well into the current reference system with average residuals of 26 cm across nine control points, demonstrating the high quality of the 1929 work.