Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12728
P. Javadi, J. L. Lerma, L. García-Asenjo, P. Garrigues
In recent years, the production of panoramic images has been boosted by the increasing use of digital photographiccameras and mobile phones. However, for highly demanding applications such as long-range deformation monitoring, theaccuracy and quality control of panoramic images and processes used to obtain accurate 3D models should be properlyassessed. Therefore, prior to being applied in real projects, the quality of the spherical panoramic images generated bythree widely used computer programs (Agisoft Metashape, GigaPan Stitch and PTGui) is evaluated using the same imagesof a photogrammetric laboratory full of control points and an outdoor environment by shooting from several stations. Inaddition to the assessment of the geometrical accuracy, the study also includes important aspects for practical efficiencysuch as workflow, speed of processing, user-friendliness, or exporting products and formats available. The results of thecomparisons show that Agisoft Metashape meets the required geometric specifications with higher quality and has clearadvantages in performance if compared to the other two tested programs.
{"title":"QUALITY ASSESSMENT OF SPHERICAL PANORAMIC IMAGES","authors":"P. Javadi, J. L. Lerma, L. García-Asenjo, P. Garrigues","doi":"10.4995/cigeo2021.2021.12728","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12728","url":null,"abstract":"In recent years, the production of panoramic images has been boosted by the increasing use of digital photographiccameras and mobile phones. However, for highly demanding applications such as long-range deformation monitoring, theaccuracy and quality control of panoramic images and processes used to obtain accurate 3D models should be properlyassessed. Therefore, prior to being applied in real projects, the quality of the spherical panoramic images generated bythree widely used computer programs (Agisoft Metashape, GigaPan Stitch and PTGui) is evaluated using the same imagesof a photogrammetric laboratory full of control points and an outdoor environment by shooting from several stations. Inaddition to the assessment of the geometrical accuracy, the study also includes important aspects for practical efficiencysuch as workflow, speed of processing, user-friendliness, or exporting products and formats available. The results of thecomparisons show that Agisoft Metashape meets the required geometric specifications with higher quality and has clearadvantages in performance if compared to the other two tested programs.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124866459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12729
Jesús Torralba, L. Ruiz, C. Georgiadis, P. Patias, Rodrigo Gómez-Conejo, N. Verde, Maria Tassapoulou, Fernando Bezares Sanfelip, Ewa Grommy, S. Aleksandrowicz, Elke Krätzschmar, M. Krupiński, J. P. Carbonell-Rivera
The concept of marginal land (ML) is dynamic and depends on various factors related to the environment, climate, scale,culture, and economic sector. The current methods for identifying ML are diverse, they employ multiple parameters andvariables derived from land use and land cover, and mostly reflect specific management purposes. A methodologicalapproach for the identification of marginal lands using remote sensing and ancillary data products and validated on samplesfrom four European countries (i.e., Germany, Spain, Greece, and Poland) is presented in this paper. The methodologyproposed combines land use and land cover data sets as excluding indicators (forest, croplands, protected areas,impervious areas, land-use change, water bodies, and permanent snow areas) and environmental constraints informationas marginality indicators: (i) physical soil properties, in terms of slope gradient, erosion, soil depth, soil texture, percentageof coarse soil texture fragments, etc.; (ii) climatic factors e.g. aridity index; (iii) chemical soil properties, including soil pH,cation exchange capacity, contaminants, and toxicity, among others. This provides a common vision of marginality thatintegrates a multidisciplinary approach. To determine the ML, we first analyzed the excluding indicators used to delimit theareas with defined land use. Then, thresholds were determined for each marginality indicator through which the landproductivity progressively decreases. Finally, the marginality indicator layers were combined in Google Earth Engine. Theresult was categorized into 3 levels of productivity of ML: high productivity, low productivity, and potentially unsuitable land.The results obtained indicate that the percentage of marginal land per country is 11.64% in Germany, 19.96% in Spain,18.76% in Greece, and 7.18% in Poland. The overall accuracies obtained per country were 60.61% for Germany, 88.87%for Spain, 71.52% for Greece, and 90.97% for Poland.
{"title":"METHODOLOGICAL PROPOSAL FOR THE IDENTIFICATION OF MARGINAL LANDS WITH REMOTE SENSING-DERIVED PRODUCTS AND ANCILLARY DATA","authors":"Jesús Torralba, L. Ruiz, C. Georgiadis, P. Patias, Rodrigo Gómez-Conejo, N. Verde, Maria Tassapoulou, Fernando Bezares Sanfelip, Ewa Grommy, S. Aleksandrowicz, Elke Krätzschmar, M. Krupiński, J. P. Carbonell-Rivera","doi":"10.4995/cigeo2021.2021.12729","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12729","url":null,"abstract":"The concept of marginal land (ML) is dynamic and depends on various factors related to the environment, climate, scale,culture, and economic sector. The current methods for identifying ML are diverse, they employ multiple parameters andvariables derived from land use and land cover, and mostly reflect specific management purposes. A methodologicalapproach for the identification of marginal lands using remote sensing and ancillary data products and validated on samplesfrom four European countries (i.e., Germany, Spain, Greece, and Poland) is presented in this paper. The methodologyproposed combines land use and land cover data sets as excluding indicators (forest, croplands, protected areas,impervious areas, land-use change, water bodies, and permanent snow areas) and environmental constraints informationas marginality indicators: (i) physical soil properties, in terms of slope gradient, erosion, soil depth, soil texture, percentageof coarse soil texture fragments, etc.; (ii) climatic factors e.g. aridity index; (iii) chemical soil properties, including soil pH,cation exchange capacity, contaminants, and toxicity, among others. This provides a common vision of marginality thatintegrates a multidisciplinary approach. To determine the ML, we first analyzed the excluding indicators used to delimit theareas with defined land use. Then, thresholds were determined for each marginality indicator through which the landproductivity progressively decreases. Finally, the marginality indicator layers were combined in Google Earth Engine. Theresult was categorized into 3 levels of productivity of ML: high productivity, low productivity, and potentially unsuitable land.The results obtained indicate that the percentage of marginal land per country is 11.64% in Germany, 19.96% in Spain,18.76% in Greece, and 7.18% in Poland. The overall accuracies obtained per country were 60.61% for Germany, 88.87%for Spain, 71.52% for Greece, and 90.97% for Poland.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130677892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12743
J. Santamaría-Peña, Elena Palacios-Ruiz, Teresa Santamaría-Palacios
The use of medium/high-density LIDAR (Light Detection And Ranging) data for land modelling and DTM (Digital TerrainModel) is becoming more widespread. This level of detail is difficult to achieve with other means or materials. However,the horizontal and vertical geometric accuracy of the LIDAR points obtained, although high, is not homogeneous.Horizontally you can reach precisions around 30-50 cm, while the vertical precision is rarely greater than 10-15 cm. Theresult of LIDAR flights, are clouds of points very close to each other (30-60 cm) with significant elevation variations, evenif the terrain is flat. And this makes the triangulated models TIN (Triangulated Irregular Network) obtained from such LIDARdata especially chaotic. Since contour lines are generated directly from such triangulated models, their appearance showsexcessive noise, with excessively broken and rapidly closed on themselves. Getting smoothed contour liness, withoutdecreasing accuracy, is a challenge for terrain model software. In addition, triangulated models obtained from LIDAR dataare the basis for future slope maps of the land. And for the same reason explained in the previous paragraph, these slopemaps generated from high or medium density LIDAR point clouds are especially heterogeneous. Achieving uniformity andgreater adjustment to reality by reducing the natural noise of LIDAR data is another added challenge. In this paper, theproblem of excessive noise from LIDAR data of high (around 8 points/m2) and medium density (around 2 points/m2) in thegeneration of contour lines and terrain slope maps is raised and solutions are proposed to reduce this noise. All this, in thearea of specific software for the management of TIN models and GIS (Geographic Information System) and adapting thealternatives proposed by these programmes.
{"title":"NOISE REDUCTION IN CONTOUR LINES AND SLOPE MAPS FROM MEDIUM/HIGH-DENSITY LIDAR DATA","authors":"J. Santamaría-Peña, Elena Palacios-Ruiz, Teresa Santamaría-Palacios","doi":"10.4995/cigeo2021.2021.12743","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12743","url":null,"abstract":"The use of medium/high-density LIDAR (Light Detection And Ranging) data for land modelling and DTM (Digital TerrainModel) is becoming more widespread. This level of detail is difficult to achieve with other means or materials. However,the horizontal and vertical geometric accuracy of the LIDAR points obtained, although high, is not homogeneous.Horizontally you can reach precisions around 30-50 cm, while the vertical precision is rarely greater than 10-15 cm. Theresult of LIDAR flights, are clouds of points very close to each other (30-60 cm) with significant elevation variations, evenif the terrain is flat. And this makes the triangulated models TIN (Triangulated Irregular Network) obtained from such LIDARdata especially chaotic. Since contour lines are generated directly from such triangulated models, their appearance showsexcessive noise, with excessively broken and rapidly closed on themselves. Getting smoothed contour liness, withoutdecreasing accuracy, is a challenge for terrain model software. In addition, triangulated models obtained from LIDAR dataare the basis for future slope maps of the land. And for the same reason explained in the previous paragraph, these slopemaps generated from high or medium density LIDAR point clouds are especially heterogeneous. Achieving uniformity andgreater adjustment to reality by reducing the natural noise of LIDAR data is another added challenge. In this paper, theproblem of excessive noise from LIDAR data of high (around 8 points/m2) and medium density (around 2 points/m2) in thegeneration of contour lines and terrain slope maps is raised and solutions are proposed to reduce this noise. All this, in thearea of specific software for the management of TIN models and GIS (Geographic Information System) and adapting thealternatives proposed by these programmes.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130936307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12759
I. Vigo, Ferdous Zid, D. García
In this work, we provide an updated geodetic approach to the Mediterranean Surface Geostrophic circulation based onsatellite data. We follow same methodology as in a previous approach by Vigo et al. (2018), but here both the Sea SurfaceHeight (SSH) and the Geoid (N) have been updated by enhanced solutions, and the time period covered has beenextended to 23 years, from 1993 to 2015. The main general pattern of circulation is confirmed with respect to previousapproach, but the new estimation provides enhanced resolution of the details, and higher variations in the climatology.When compare both satellite data-based approaches to the Mediterranean Surface Geostrophic Circulation (SGC) withMercator model simulations that assimilates in-situ measurements, our new estimate shows clearly better agreement thanthe earlier approach. The mean circulation for the studied period, and the climatology of the SGC for the MediterraneanSea are presented in the context of previous literature.
{"title":"MEDITERRANEAN SURFACE GEOSTROPHIC CIRCULATION FROM SATELLITE DATA","authors":"I. Vigo, Ferdous Zid, D. García","doi":"10.4995/cigeo2021.2021.12759","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12759","url":null,"abstract":"In this work, we provide an updated geodetic approach to the Mediterranean Surface Geostrophic circulation based onsatellite data. We follow same methodology as in a previous approach by Vigo et al. (2018), but here both the Sea SurfaceHeight (SSH) and the Geoid (N) have been updated by enhanced solutions, and the time period covered has beenextended to 23 years, from 1993 to 2015. The main general pattern of circulation is confirmed with respect to previousapproach, but the new estimation provides enhanced resolution of the details, and higher variations in the climatology.When compare both satellite data-based approaches to the Mediterranean Surface Geostrophic Circulation (SGC) withMercator model simulations that assimilates in-situ measurements, our new estimate shows clearly better agreement thanthe earlier approach. The mean circulation for the studied period, and the climatology of the SGC for the MediterraneanSea are presented in the context of previous literature.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"6 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127083559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12722
G. Bru, P. Ezquerro, C. Guardiola‐Albert, M. Béjar-Pizarro, G. Herrera, R. Tomás, M. Navarro-Hernández, J. Lopez-Sanchez, A. Ören, Baris Çaylak, Alper Elçi, Khaldoun Shatanawi, A. Mohammad, H. A. Abu Hajar, R. Bonì, C. Meisina
Groundwater is a vitally important resource for humans. One of the main problems derived from the overexploitation ofaquifers is land subsidence, which in turn carries other associated natural risks. Advanced Differential satellite radarinterferometry (A-DInSAR) techniques provide valuable information on the surface displacements of the ground, whichserve to characterize both the deformational behaviour of the aquifer and its properties. RESERVOIR is a research projectbelonging to the European PRIMA programme, whose main objective is to design sustainable groundwater managementmodels through the study of four areas of the Mediterranean subjected to water stress. One of the main tasks of the projectis the integration of the terrain deformation data obtained with satellite remote sensing techniques in the hydrogeologicaland geomechanical models of the aquifers. In the present work, a first evaluation of the deformation of the ground in eachstudy area is carried out using the tools contained in the Geohazards Exploitation Platform (GEP). This is a service financedby the European Space Agency (ESA) that allows processing directly on its server, without need to store data orapplications locally.
{"title":"LAND SUBSIDENCE ANALYSIS CAUSED BY AQUIFER OVEREXPLOITATION USING GEP TOOLS: A-DINSAR ON THE CLOUD","authors":"G. Bru, P. Ezquerro, C. Guardiola‐Albert, M. Béjar-Pizarro, G. Herrera, R. Tomás, M. Navarro-Hernández, J. Lopez-Sanchez, A. Ören, Baris Çaylak, Alper Elçi, Khaldoun Shatanawi, A. Mohammad, H. A. Abu Hajar, R. Bonì, C. Meisina","doi":"10.4995/cigeo2021.2021.12722","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12722","url":null,"abstract":"Groundwater is a vitally important resource for humans. One of the main problems derived from the overexploitation ofaquifers is land subsidence, which in turn carries other associated natural risks. Advanced Differential satellite radarinterferometry (A-DInSAR) techniques provide valuable information on the surface displacements of the ground, whichserve to characterize both the deformational behaviour of the aquifer and its properties. RESERVOIR is a research projectbelonging to the European PRIMA programme, whose main objective is to design sustainable groundwater managementmodels through the study of four areas of the Mediterranean subjected to water stress. One of the main tasks of the projectis the integration of the terrain deformation data obtained with satellite remote sensing techniques in the hydrogeologicaland geomechanical models of the aquifers. In the present work, a first evaluation of the deformation of the ground in eachstudy area is carried out using the tools contained in the Geohazards Exploitation Platform (GEP). This is a service financedby the European Space Agency (ESA) that allows processing directly on its server, without need to store data orapplications locally.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131958824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12703
J. Angás, P. Uribe, Manuel Bea, M. Farjas, E. Ariño, V. Martínez-Ferreras, J. Gurt
This paper presents a preliminary use of satellite imagery from the CORONA program in the reconstruction of thearchaeological landscape of two different sites: Ancient Termez (southern border of Uzbekistan) and Khatm Al Melaha(eastern coast of United Arab Emirates in Kalba area). This analysis constitutes the first step of the work carried out in thefield since 2018 at both sites for an analysis of the syntactic interoperability of multi-scale geospatial data for archaeologicalheritage. The aim of this work was to establish an approach for the use of CORONA satellite imagery for archaeologicalDEM reconstruction. The objectives of the reconstruction were conditioned for different reasons: in the case of Termezprior to the anthropic transformation of the site in the Soviet - Afghan War and in the case of Khatm Al Melaha prior to theurban, coastal and road transformation. The results have provided uneven data due to the characteristics of the existingimagery: mission, resolution, overlap, orography and different ground control point distribution. This methodology opens adoor to the reconstruction of archaeological landscapes that have suffered evident deterioration for different reasons bymeans of historical aerial imagery in the last 60 years, practically, in some cases, as a primary and unique source foranalysing this type of change from the past.
本文介绍了CORONA项目的卫星图像在两个不同遗址考古景观重建中的初步应用:古代Termez(乌兹别克斯坦南部边境)和Khatm Al Melaha(阿拉伯联合酋长国Kalba地区的东海岸)。这项分析是自2018年以来在这两个地点开展的实地工作的第一步，目的是分析考古遗产的多尺度地理空间数据的句法互操作性。这项工作的目的是建立一种使用CORONA卫星图像进行考古dem重建的方法。重建的目标有不同的原因:在termez的情况下，在苏联-阿富汗战争中对场地进行人为改造之前，在Khatm Al Melaha的情况下，在城市，沿海和道路改造之前。由于现有图像的特征:任务、分辨率、重叠、地形和不同的地面控制点分布，结果提供了不均匀的数据。这种方法为通过过去60年的历史航空图像重建由于不同原因而遭受明显恶化的考古景观打开了大门，实际上，在某些情况下，作为分析这种与过去不同的变化的主要和独特来源。
{"title":"POTENTIAL OF CORONA SATELLITE IMAGERY FOR 3D RECONSTRUCTION OF ARCHAEOLOGICAL LANDSCAPES","authors":"J. Angás, P. Uribe, Manuel Bea, M. Farjas, E. Ariño, V. Martínez-Ferreras, J. Gurt","doi":"10.4995/cigeo2021.2021.12703","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12703","url":null,"abstract":"This paper presents a preliminary use of satellite imagery from the CORONA program in the reconstruction of thearchaeological landscape of two different sites: Ancient Termez (southern border of Uzbekistan) and Khatm Al Melaha(eastern coast of United Arab Emirates in Kalba area). This analysis constitutes the first step of the work carried out in thefield since 2018 at both sites for an analysis of the syntactic interoperability of multi-scale geospatial data for archaeologicalheritage. The aim of this work was to establish an approach for the use of CORONA satellite imagery for archaeologicalDEM reconstruction. The objectives of the reconstruction were conditioned for different reasons: in the case of Termezprior to the anthropic transformation of the site in the Soviet - Afghan War and in the case of Khatm Al Melaha prior to theurban, coastal and road transformation. The results have provided uneven data due to the characteristics of the existingimagery: mission, resolution, overlap, orography and different ground control point distribution. This methodology opens adoor to the reconstruction of archaeological landscapes that have suffered evident deterioration for different reasons bymeans of historical aerial imagery in the last 60 years, practically, in some cases, as a primary and unique source foranalysing this type of change from the past.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131732783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12744
Jaime Sánchez
La tecnología DInSAR provee una gran cantidad de información sobre la deformación a lo largo del tiempo del terreno ylas infraestructuras con precisión milimétrica y sin la necesidad de usar instrumentación de campo. Durante elprocesamiento DInSAR se analiza la información contenida en la fase y la amplitud de una serie de imágenes obtenidasmediante un Radar de Apertura Sintética. Estos cubrirán la misma área en distintos momentos para de este modo poderseleccionar los píxeles que poseen menor ruido en la fase permitiendo la medición de movimientos superficiales a lo largode varios kilómetros cuadrados de área y de manera más económica que mediante métodos convencionales y teniendoademás la posibilidad de obtener datos anteriores, contemporáneos o posteriores al evento estudiado. Por todo esto, elprocesamiento DInSAR posee grandes ventajas sobre tecnologías tradicionales para medir deformaciones y movimientosmilimétricos tanto del suelo como de infraestructuras. En muchos casos, el gran volumen de datos obtenido dificulta lainspección manual de estos. Lo que hace necesario el uso de metodologías apropiadas que simplifiquen la interpretaciónlos datos facilitando así también la toma de decisiones. Este articulo intenta afrontar esos problemas 1) analizando losresultados de aplicar diferentes estrategias de minería de datos 2) creando un flujo de trabajo automatizado que faciliteun análisis preliminar de los datos. Aplicando Análisis de Componentes Principales para reducir la dimensionalidad delproblema y usando algoritmos de clusterización para agrupar los puntos por características similares.
{"title":"MEJORANDO LA INTERPRETACIÓN DE SERIES TEMPORALES USANDO APRENDIZAJE NO SUPERVISADO","authors":"Jaime Sánchez","doi":"10.4995/cigeo2021.2021.12744","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12744","url":null,"abstract":"La tecnología DInSAR provee una gran cantidad de información sobre la deformación a lo largo del tiempo del terreno ylas infraestructuras con precisión milimétrica y sin la necesidad de usar instrumentación de campo. Durante elprocesamiento DInSAR se analiza la información contenida en la fase y la amplitud de una serie de imágenes obtenidasmediante un Radar de Apertura Sintética. Estos cubrirán la misma área en distintos momentos para de este modo poderseleccionar los píxeles que poseen menor ruido en la fase permitiendo la medición de movimientos superficiales a lo largode varios kilómetros cuadrados de área y de manera más económica que mediante métodos convencionales y teniendoademás la posibilidad de obtener datos anteriores, contemporáneos o posteriores al evento estudiado. Por todo esto, elprocesamiento DInSAR posee grandes ventajas sobre tecnologías tradicionales para medir deformaciones y movimientosmilimétricos tanto del suelo como de infraestructuras. En muchos casos, el gran volumen de datos obtenido dificulta lainspección manual de estos. Lo que hace necesario el uso de metodologías apropiadas que simplifiquen la interpretaciónlos datos facilitando así también la toma de decisiones. Este articulo intenta afrontar esos problemas 1) analizando losresultados de aplicar diferentes estrategias de minería de datos 2) creando un flujo de trabajo automatizado que faciliteun análisis preliminar de los datos. Aplicando Análisis de Componentes Principales para reducir la dimensionalidad delproblema y usando algoritmos de clusterización para agrupar los puntos por características similares.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125438452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12689
Wilson Ernesto Vargas, Carmen Femenia
Bogotá, la capital de Colombia, es la primera ciudad más congestionada del mundo después de Bucarest y Nueva York.En Bogotá existen varias aplicaciones (Apps) que le permiten al usuario planear su viaje en cada uno de los diferentesmodos de transporte existentes, las cuales se basan en mapas y datos georreferenciados de la parte cartográfica comode variables de transito como congestión, tiempos de caminata y modo a utilizar para el viaje. En los últimos años paralos usuarios la variable que determina su planeación no es el tiempo de viaje, sino factores adicionales que lasaplicaciones no tienen en cuenta como: ocupación de los medios de transporte, paraderos y portales, operación de lainfraestructura, condiciones ambientales, seguridad ciudadana entre otros. El objetivo del trabajo de investigación esestablecer un modelo que permita a los diferentes actores viales realizar la planeación de las rutas de acuerdo a susnecesidades y en función del tiempo real de viaje. Las necesidades de los usuarios se determinarán por medio deencuestas en campo para obtener los tiempos adicionales de viaje de cada una de las variables encontradas. Con elproyecto se pretende mejorar la planeación de los viajes de cada uno de los usuarios viales (conductores, pasajeros,peatones y biciusuarios) que permita tener tiempos de viaje más reales, que permita mejorar la movilidad de una ciudadtan congestionada como es Bogotá.
{"title":"MODELO DE PLANEACIÓN DE RUTAS PARA LOS USUARIOS DE BOGOTÁ","authors":"Wilson Ernesto Vargas, Carmen Femenia","doi":"10.4995/cigeo2021.2021.12689","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12689","url":null,"abstract":"Bogotá, la capital de Colombia, es la primera ciudad más congestionada del mundo después de Bucarest y Nueva York.En Bogotá existen varias aplicaciones (Apps) que le permiten al usuario planear su viaje en cada uno de los diferentesmodos de transporte existentes, las cuales se basan en mapas y datos georreferenciados de la parte cartográfica comode variables de transito como congestión, tiempos de caminata y modo a utilizar para el viaje. En los últimos años paralos usuarios la variable que determina su planeación no es el tiempo de viaje, sino factores adicionales que lasaplicaciones no tienen en cuenta como: ocupación de los medios de transporte, paraderos y portales, operación de lainfraestructura, condiciones ambientales, seguridad ciudadana entre otros. El objetivo del trabajo de investigación esestablecer un modelo que permita a los diferentes actores viales realizar la planeación de las rutas de acuerdo a susnecesidades y en función del tiempo real de viaje. Las necesidades de los usuarios se determinarán por medio deencuestas en campo para obtener los tiempos adicionales de viaje de cada una de las variables encontradas. Con elproyecto se pretende mejorar la planeación de los viajes de cada uno de los usuarios viales (conductores, pasajeros,peatones y biciusuarios) que permita tener tiempos de viaje más reales, que permita mejorar la movilidad de una ciudadtan congestionada como es Bogotá.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126445864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12675
Miguel González-Jiménez, C. Guardiola-Albert, Héctor Aguilera-Alonso, Marta Béjar- Pizarro, G. Herrera, P. Ezquerro, Juan López-Vinielles, N. Fernández, Fernando Ruiz-Bermudo
El agua subterránea es uno de los recursos hídricos más importantes en el territorio español. La gran cantidad de aguaque se retira de ellos puede tener graves consecuencias, entre las que destaca, en algunos acuíferos, la subsidencia delterreno. La técnica de interferometría radar (InSAR), ha sido desarrollada en las últimas décadas para detectar ymonitorear las deformaciones relacionadas con los acuíferos. En este trabajo se estudia la posible relación existente entrela variación de los niveles piezométricos y el movimiento del terreno en zonas con grandes extracciones del acuíferoAlmonte-Marismas (sobre el que se ubica el Espacio Natural de Doñana). Para ello, se han analizado los datos dedeformación del terreno obtenidos del satélite Sentinel-1 en el periodo 2014-2020 Los resultados muestran que, en algunade estas zonas, como las cercanas a las poblaciones de El Rocío y Matalascañas, la correlación entre ambas variableses alta.
{"title":"ESTUDIO DE LA RELACIÓN ENTRE LA PIEZOMETRÍA Y LA DEFORMACIÓN DEL TERRENO EN EL ACUÍFERO ALMONTEMARISMAS (ANDALUCÍA, ESPAÑA)","authors":"Miguel González-Jiménez, C. Guardiola-Albert, Héctor Aguilera-Alonso, Marta Béjar- Pizarro, G. Herrera, P. Ezquerro, Juan López-Vinielles, N. Fernández, Fernando Ruiz-Bermudo","doi":"10.4995/cigeo2021.2021.12675","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12675","url":null,"abstract":"El agua subterránea es uno de los recursos hídricos más importantes en el territorio español. La gran cantidad de aguaque se retira de ellos puede tener graves consecuencias, entre las que destaca, en algunos acuíferos, la subsidencia delterreno. La técnica de interferometría radar (InSAR), ha sido desarrollada en las últimas décadas para detectar ymonitorear las deformaciones relacionadas con los acuíferos. En este trabajo se estudia la posible relación existente entrela variación de los niveles piezométricos y el movimiento del terreno en zonas con grandes extracciones del acuíferoAlmonte-Marismas (sobre el que se ubica el Espacio Natural de Doñana). Para ello, se han analizado los datos dedeformación del terreno obtenidos del satélite Sentinel-1 en el periodo 2014-2020 Los resultados muestran que, en algunade estas zonas, como las cercanas a las poblaciones de El Rocío y Matalascañas, la correlación entre ambas variableses alta.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125083419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-07DOI: 10.4995/cigeo2021.2021.12691
M. Qafisheh, Angel Martin, R. Capilla
Early Warning System (EWS) for monitoring megastructures deformation, natural hazards, earthquakes, and landslidescan prevent economic and life losses. Nowadays, Real-Time Precise Point Positioning (RT-PPP) plays a vital role in thisdomain since it relies on precise real-time measurements derived from a single receiver, provides real-time monitoring andglobal coverage. Nevertheless, RT-PPP measurements and methodology is very sensitive to outliers in products, latenciesand changes in the constellation geometry. Consequently, there are long initialization periods, losses of convergence anddifferent noise sources, with a high impact on the warning system's availability or even led out to initiate false warnings.This study presents the first experiment to propose a methodology that can help the decision-makers confirm the warningbased on the probability of the detected movement by using machine learning classification models. For this, in the firstexperiment, a laser engraving machine device was modified to simulate deformations. A control unit will be designed basedon open-source software, Python libraries are implemented, and the G programming language used to control the devicemotions. All this research will be the background on which the early warning service will be developed.
{"title":"PROPOSED METHODOLOGY FOR ESTABLISHING AN EARLY GNSS WARNING SYSTEM FOR REAL-TIME DEFORMATION MONITORING","authors":"M. Qafisheh, Angel Martin, R. Capilla","doi":"10.4995/cigeo2021.2021.12691","DOIUrl":"https://doi.org/10.4995/cigeo2021.2021.12691","url":null,"abstract":"Early Warning System (EWS) for monitoring megastructures deformation, natural hazards, earthquakes, and landslidescan prevent economic and life losses. Nowadays, Real-Time Precise Point Positioning (RT-PPP) plays a vital role in thisdomain since it relies on precise real-time measurements derived from a single receiver, provides real-time monitoring andglobal coverage. Nevertheless, RT-PPP measurements and methodology is very sensitive to outliers in products, latenciesand changes in the constellation geometry. Consequently, there are long initialization periods, losses of convergence anddifferent noise sources, with a high impact on the warning system's availability or even led out to initiate false warnings.This study presents the first experiment to propose a methodology that can help the decision-makers confirm the warningbased on the probability of the detected movement by using machine learning classification models. For this, in the firstexperiment, a laser engraving machine device was modified to simulate deformations. A control unit will be designed basedon open-source software, Python libraries are implemented, and the G programming language used to control the devicemotions. All this research will be the background on which the early warning service will be developed.","PeriodicalId":145404,"journal":{"name":"Proceedings - 3rd Congress in Geomatics Engineering - CIGeo","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126109910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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