FunQuality4DEM


 

FunQuality4DEM


Functional Quality for Digital Elevation Models in Engineering

Leads: Grupo de investigación "Ingeniería Cartográfica"

Universidad de Jaén & Universidad de Granada

 

Presentation

Climate change, earthquakes, floods, thaw assessment, forest fire assessment, deforestation, desertification, civil protection, territorial planning, European Common Agrarian Policy, International Aid in Emergencies and Crises, etc., are society challenges where geospatial data and, specifically, the digital terrain elevation models (DEM), support the decision making process. Geospatial data is considered as a foundation element for good governance by the World Bank (WBG, 2009), the European Union (GINE 2003) and the United Nations (Salvemini 2009). Geospatial data are an important component of Ambient Intelligence technologies as they give ubiquity and context to captures from non-spatial sensor networks. Quality is a key component of geospatial data, according to the European (EEA 2015) and American (FEMA 2015) environmental agencies, and from a scientific viewpoint it is a challenge (Devillers et al. 2010). The idea of "functional quality" refers to the level to which DEMs allow users to obtain useful results when applying geospatial modeling and analysis operations (e.g. drainage network, river basin, etc.). The current way of reporting the quality of a DEM focuses on positional accuracy and is based on indices such as mean value (bias), deviation, or RMSE. These indices are calculated on few control points and they report from a global perspective. Consequently, for many specific applications (e.g. in hydrography, the determination of a drainage network or a micro-basin, etc.), an altimetric positional uncertainty is not very evocative of the application goal. Users would like to know whether data will actually produce quality results for their modeling (e.g. erosion, flooding, water balance, etc.). Therefore, for specific users to better understand the quality of a DEM, new measures are required that do have a strong relationship with the application results.

Brouchure Here


Objective

The FunQuality4DEM project aims developing evaluation and reporting methods for the "functional quality" of DEM on certain use cases. The novelties of this proposal are summarized in:

1) proposing the quality of the DEM data from a "functional perspective" (GIS analysis operations);

2º) proposing and formalizing new methods for DEM quality evaluation based on surfaces and lines;

3º) proposing and formalizing new measures and ways for reporting DEM data quality from a multivariate, local perspective and focused to specific USE CASES.

To achieve the objectives, a high density LiDAR data set will be used; field work will be carried out with a Terrestrial Laser Scanner, and various statistical and mathematical tools will be used (e.g. simulations, surface adjustments, splines, multivariate statistics, etc.). The results will be considered to validation by experts in the use cases. This project is of great interest to society because its application to DEM will allow better decisions to be made in civil and environmental engineering projects from the available DEMs. Furthermore, FunQuality4DEM is of great interest to the geomatic industry, as proved by the support received from national and international organizations producing and using DEM.

Metothod

FunQuality4DEM is organized into phases (Fx) and activities (Ax). In summary, the process to be developed is as follows:

  • F1.A1. Although an initial review is already available [12], first, the state of the art is addressed in order to get a starting point that avoids unnecessary work and suggests solutions.
  • F1.A2. It focuses on the design and acquisition of the necessary material for the field work carried out in (F6.A11).
  • F2.A3. An expert group will be formed, which will help to formalize the use cases, establish regionalization criteria (F4.A5) and evaluate the results (F7.A12).
  • F3.A4. The fieldwork areas will be delimited, which must have enough topographic variability (mountainous, sloping, flat) and enough size. The ELF (Experimental Lidar Flight) will be used as the base of the DEMref and the available official DEMs (DEM-IGN-5m and DEM-IGN-LiDAR) will be used as products to control (DEMpro). On these areas, in specific locations, several patches (A.11) will be taken to test the field control methods and apply the recommendations from F6.A10.
  • F4.A5. Regionalization will be addressed in such a way that it serves to inform more locally.
  • F4.A6 Each DEM will be fitted parametrically, which will allow derivation of similarity (discrepancy) measurements that will be used later in F6.A11 and F5.A8.
  • F5.A7. echniques that automatically detect common features between mesh DEMs will be tested. These results will be of interest for patch controls (F6.A11) and to derive characterizing measures of quality (F5.A8).
  • F5.A8. A statistical characterization of the similarity/differences between DEMref and DEMpro will be carried out with a functional and multivariate perspective.
  • F5.A9. High range spatialized multinomials will be applied to perform statistical tests of adherence and goodness of fit in order to find out or not the significant differences between DEMref and DEMpro.
  • F6.A10. The optimal parameters will be established by simulation in order to apply patch control techniques.
  • F6.A11. The methods and instruments designed will be tested in the field survey.
  • F7.A12. Various ways of reporting quality and meta-quality that are more understandable by users will be proposed. The expert group will participate in guiding and evaluating proposals.
  • F8.A13. Progress and results will be communicated to scientific and professional forums.

Results

Scientific and methodological achivements
  • Method for LiDAR patches surveying by means of inverted TLS.
  • Functional quality as a new DEM data accuracy assessment paradigm.
  • Determination of applied quality criteria in global MDE assessents.
  • Device for the use of large poles on conventional surveying tripods.
  • 3D extension of the K-S statistical test.
  • Visual quality report for the case of hydrographic basins.
  • Analysis of the morphometric indices applied in hydrographic basins.
Reports
  • Ariza-López, F.J.; Reinoso-Gordo, J.F. (2020). Aproximación a la calidad funcional. INFORME INTERNO En proyecto: "Calidad funcional de modelos digitales de elevaciones del terreno en ingeniería", Programa Estatal, Ministerio de Ciencia, Innovación y Universidades, Convocatoria 2019.
  • Reinoso-Gordo, J.F. (2020). Casos de uso. INFORME INTERNO En proyecto: "Calidad funcional de modelos digitales de elevaciones del terreno en ingeniería", Programa Estatal, Ministerio de Ciencia, Innovación y Universidades, Convocatoria 2019.
  • Reinoso-Gordo, J.F. (2021). Directrices 1. INFORME INTERNO En proyecto: "Calidad funcional de modelos digitales de elevaciones del terreno en ingeniería", Programa Estatal, Ministerio de Ciencia, Innovación y Universidades, Convocatoria 2019.
  • León-Robles, C.A. (2021). Delimitación de zonas de trabajo en campo. INFORME INTERNO En proyecto: "Calidad funcional de modelos digitales de elevaciones del terreno en ingeniería", Programa Estatal, Ministerio de Ciencia, Innovación y Universidades, Convocatoria 2019.
  • Gacía-Balboa JL, Mozas-Clavache AT (2021). Protocolo para la toma de parches mediante LiDAR terrestre (TLS) invertido. INFORME INTERNO En proyecto: "Calidad funcional de modelos digitales de elevaciones del terreno en ingeniería", Programa Estatal, Ministerio de Ciencia, Innovación y Universidades, Convocatoria 2019.
  • Barrera-Rosillo, D. (2023). Modelización matemática de superficies. Recomendaciones mejor ajuste. INFORME INTERNO En proyecto: “Calidad funcional de modelos digitales de elevaciones del terreno en ingeniería”, Programa Estatal, Ministerio de Ciencia, Innovación y Universidades, Convocatoria 2019
  • Ariza-López, F.J. (2023). Evaluación de MDE por medio de superficies de control. INFORME INTERNO En proyecto: “Calidad funcional de modelos digitales de elevaciones del terreno en ingeniería”, Programa Estatal, Ministerio de Ciencia, Innovación y Universidades, Convocatoria 2019
  • Ariza-López FJ & García-Balboa JL (2023). Aproximación a la calidad funcional en la determinación de cuencas y redes de drenaje en MDE: la voz del usuario. INFORME INTERNO En proyecto: “Calidad funcional de modelos digitales de elevaciones del terreno en ingeniería”, Programa Estatal, Ministerio de Ciencia, Innovación y Universidades, Convocatoria 2019).
Brouchure

Presentation of the project "FunQuality4DEM" (Functional Quality for Digital Elevation Models).

Results of the project "FunQuality4DEM" (Functional Quality for Digital Elevation Models).

Tools
  • Publications (papers, congress, etc.) :

    2023

    Mozas-Calvache, A.T.; Ureña-Cámara, M.A. (2023). Identification of Highlighted Cells in Low-Variance Raster Data Application to Digital Elevation Models. Algorithms 2023, 16(6), 302; https://doi.org/10.3390/a16060302

    López-Vázquez, C.M.; Ariza-López, F.J. (2023). Global Digital Elevation Model comparison criteria: An Evident Need to Consider Their Application. ISPRS Int. J. Geo-Inf. 2023, 12, 337. https://doi.org/10.3390/ijgi12080337

    Ruiz-Lendínez, J.J.; Ureña-cámara, M.A.; Ariza-López, F.J. (2023). Deep Learning Methods applied to Digital Elevation Models: State of the Art. Geocarto International, DOI: 10.1080/10106049.2023.2252389.

    Ariza-López, F.J.; Rodríguez-Avi, J. (2023). Quality control of DEMs by check surfaces. submitted to publication.

    Reinoso-Gordo, J.F.; Ariza-López, F.J. (2023). A method to rank global DEMs quality focused on their horizontal accuracy. Geomorphometry 2023, Iasi, Romania.

    Ariza-López, F.J.; Reinoso-Gordo, J.F. (2023). Functional Quality for GDEMs Assessment. Geomorphometry 2023, Iasi, Romania.

    Ariza-López, F.J.:Ureña-Cámara, M.A., Reinoso-Gordo, J.F.; Nero, M.A. (2023). Proposal for a Collaborative Data Infrastructure for Control of DEMs. Geomorphometry 2023, Iasi, Romania.

    2022

    Rodríguez-Avi, J.; Ariza-López, F.J. (2022) Finite Mixture Models in the Evaluation of Positional Accuracy of Geospatial Data. Remote Sens. 2022, 14, 2062. https://doi.org/10.3390/rs14092062

    Ariza-López F.J., Domingo Barrera, Salah Eddargani, María José Ibáñez, Juan F. Reinoso (2022). Spline quasi-interpolation in the Bernstein basis and its application to digital elevation models. Mathematical Methods in the Applied Sciences. https://onlinelibrary.wiley.com/doi/10.1002/mma.8602

    Salah Eddargani, Domingo Barrera, María José Ibáñez, Juan Francisco Reinoso-Gordo, Francisco Javier Ariza-López (2022). C2 Spline Quasi-Interpolation To Downscale A Digital Elevation Model. En The Fourteenth International Conference on Advanced Geographic Information Systems, Applications, and Services. GEOProcessing, Porto, Portugal, June 26-30, 2022

    Ariza-López F.J., Reinoso-Gordo FJ. (2022).Functional quality: A use-case oriented quality evaluation. En The Fourteenth International Conference on Advanced Geographic Information Systems, Applications, and Services. GEOProcessing, Porto, Portugal, June 26-30, 2022.

    Ariza-López F.J., Reinoso-Gordo JF, García-Balboa JL. (2022). A DEM quality dashboard: A multivariate quality assessment panel. En The Fourteenth International Conference on Advanced Geographic Information Systems, Applications, and Services. GEOProcessing, Porto, Portugal, June 26-30, 2022.

    Ariza-López F.J., J.F. Reinoso-Gordo, J.L. García-Balboa (2022). Calidad en modelos digitales de elevaciones: una aproximación funcional. XIX Congreso de Tecnologías de la Información Geográfica: Las TIG al servicio de los ODS. Zaragoza, septiembre 2022.

    Ariza-López F.J., J. Rodríguez Avi, J.F. Reinoso Gordo, A.T. Mozas Calvache, J.J. Ruiz Lendínez, J.L. García Balboa (2022). Evaluación de MDE por medio de parches de control. XIX Congreso de Tecnologías de la Información Geográfica: Las TIG al servicio de los ODS. Zaragoza, septiembre 2022.

    Reinoso Gordo J.F., Ariza López F.J. (2022). Estimación de la exactitud planimétrica de la red de drenaje derivada de un modelo digital de elevaciones (MDE). XIX Congreso de Tecnologías de la Información Geográfica: Las TIG al servicio de los ODS. Zaragoza, septiembre 2022.

    Ariza-López, F.J; Reinoso-Gordo, J.F.; García-Balboa, J.L. (2022). Informe gráfico sobre la calidad de modelos digitales de elevaciones. En XII TOPCART 2022, Sevilla.

    Ureña-Cámara, M.A.; Ariza-López, F.J.; Ruiz-Lendínez, J.J. (2022). Identificación de puntos homólogos en mallas de modelos digitales de elevaciones. En XII TOPCART 2022, Sevilla.

    Ariza-López, F.J.; Nero, M.A.; Ureña-Cámara, M.A.; Reinoso-Gordo, J.F. (2022). Infraestructura colaborativa de datos de control de modelos digitales de elevaciones. En XII TOPCART 2022, Sevilla.

    Reinoso Gordo JF, Ariza-López FJ, José Rodríguez Avi, Domingo Barrera Rosillo (2022). DEMs: A Multivariate Comparison Approach. En ICTDEM 2022: XVI. International Conference on Topography and Digital Elevation Modeling, Amsterdam, SEPTEMBER 15-16, 2022

    Reinoso-Gordo JF, Ariza-López FJ, A. Mozas-Calvache, J. L. García-Balboa, S. Eddargani (2022). Terrestrial Laser Scans to Assess Aerial LiDAR Data. En ICTDEM 2022: XVI. International Conference on Topography and Digital Elevation Modeling, Amsterdam, SEPTEMBER 15-16, 2022

    2021

    Alba-Fernández, M.V.; Ariza-López, F.J.; Jiménez-Gamero, M.D. (2021). A New Approach to the Quality Control of Slope and Aspect Classes Derived from Digital Elevation Models. Remote Sensing. 2021, 13, 2069 https://doi.org/10.3390/rs13112069

    Ariza-López FJ, Reinoso-Gordo JF (2021). Comparison of Gridded DEMs by Buffering. Remote Sensing, 13(15) https://doi.org/10.3390/rs13153002

    Ariza-López FJ, Reinoso-Gordo JF (2021). Métodos de orlado para la evaluación de la exactitud altimétrica en modelos digitales de elevaciones del terreno. Revista Cartográfica IPGH. https://doi.org/10.35424/rcarto.i103.975

    Rodríguez-Avi, J (2021). Aproximación al error en MDE por mixtura de distribuciones. Revista Cartográfica IPGH. https://doi.org/10.35424/rcarto.i103.968

    Alba-Fernández MV (2021). Aplicación de los test de equivalencia al control tipo temático de magnitudes asociadas a un modelo digital de elevaciones. Revista Cartográfica del IPGH. https://doi.org/10.35424/rcarto.i103.993

    Mozas-Calvache AT (2021) Positional quality assessment based on linear elements. Revista Cartográfica del IPGH. https://doi.org/10.35424/rcarto.i103.911

    Rodríguez-Avi J, Ariza-López FJ (2021). Finite mixtures of normal distributions in the study of the error in altimetry. En 30th International Cartographic Conference 2021, Florencia (Aceptado) ICC 2021 Florencia

    Ariza-López FJ, Reinoso-Gordo JF, Rodríguez-Avi J (2021). DEM's elevation comparison by surface buffering. En 30th International Cartographic Conference 2021, Florencia (Aceptado). ICC 2021 Florencia

    Eddargani S, Ariza-López, FJ, Barrera D, Ibáñez MJ, Reinoso-Gordo JF, Romero-Zaliz R, Ureña-Cámara M (2021). Low computational cost construction of 2D approximating splines and its application to Digital Elevation Models. En 2021 International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE) and the First Conference on High Performance Computing (CHPC), Rota, del 22-27 de julio de 2021. ICC 2021 Florencia

    Barrera D, Ariza-López, FJ, Eddargani S, Ibáñez MJ, Reinoso-Gordo JF (2021) Spline-based approximation of digital elevation models. En XV Biannual Congress of the Società Italiana di Matematica Applicata ed Industriale, Parma 2021 (participación on line). Horizontal accuracy assessment of a novel algorithm for approximate a surface to a DEM. En 30th International Cartographic Conference, Florencia, 14-18 Dicembre. Aceptado. ICC 2021 Florencia

    Barrera, D., Ibáñez, M.J., Salah, E., Romero, R., Ariza-López, F.J., Reinoso-Gordo J.F. (2021). Horizontal accuracy assessment of a novel algorithm for approximate a surface to a DEM. En 30th International Cartographic Conference 2021, Florencia. Aceptado. ICC 2021 Florencia

    Alba-Fernández MV, (2021). Multivariate and spatialised similarity analysis of two Digital Elevation Models via a large number of multinomials in a two-sample problem paradigm. Congreso ERCIM 2021. Aceptado. ERCIM 2021

    2020

    Mesa-Mingorance, J.L.; Ariza-López, F.J. (2020). Accuracy Assessment of Digital Elevation Models (DEMs): A Critical Review of Practices of the Past Three Decades. Remote Sensing. Remote Sens. 2020, 12(16), 2630; https://doi.org/10.3390/rs12162630

    Alba-Fernandez MV, Ariza-Lopez FJ, Jimenez-Gamero MD. (2020) Thematic-accuracy quality control of slope and aspect classes based on an equivalence test. CMStatistics. CMStatistics 2020


    Some previous publications:

    2019

    Mesa-Mingorance, JL; Ariza-López, FJ. (2019). Evaluación de la calidad en modelos digitales de elevaciones. Bibliografía Comentada. GIIC-UJAEN

    López-Vázquez, C. and Hochsztain, E.(2019). Extended and updated tables for the Friedman rank test. Communications in Statistics - Theory and Methods, 48, 2, 268-281 https://doi.org/10.1080/03610926.2017.1408829

    2018

    Ariza-López, FJ, EG Chicaiza Mora, JL Mesa Mingorance, J Cai, JF Reinoso Gordo (2018). DEMs: An Approach to Users and Uses from the Quality Perspective. International Journal of Spatial Data Infrastructures Research (EU-Joint Research Centre). 13: 131-171. http://ijsdir.jrc.ec.europa.eu/index.php/ijsdir/article/view/469/430

    Mesa-Mingorance JL, Ariza-López, FJ (2018). MDE: Referencias sobe evaluación de la calidad (1990-2017). GIIC Universidad de Jaén

    2017

    Mesa Mingorance JL, EG Chicaiza Mora, X Buenaño, J Cai, AF Rodríguez Pascual, Ariza-López, FJ (2017). Analysis of Users and Uses of DEMs in Spain. ISPRS I.J. Geo Information (MDPI). 6(12) 406. doi.org/10.3390/ijgi6120406

    Mozas Calvache, AT, Ureña Cámara, MA, Ariza-López, FJ (2017). Determination of 3D Displacements of Drainage Networks Extracted from Digital Elevation Models (DEMs) Using Linear-Based Methods. ISPRS I.J. Geo Information (MDPI). 6(8), 234. doi.org/10.3390/ijgi6080234

    Padilla-Ruiz, M. y López-Vázquez, C. (2017). Measuring conflation success, Revista Cartográfica 94, 41-64

    2016

    Mesa Mingorance JL, Chicaiza EG, Buenaño X, Jianhong C, Rodríguez-Pascual AF, Ariza-López FJ (2016). Análisis de los usuarios y usos de los MDE en España. Geofocus, nº 17. http://geofocus.org/index.php/geofocus/article/view/466/365

    López-Vázquez, C. (2016). A protocol for the ranking of interpolation algorithms based on confidence levels, International Journal of Remote Sensing 37, 19, 4683-4697 https://doi.org/10.1080/01431161.2016.1219461

    Before 2010

    López-Vázquez, C. y Manso Callejo, M. A. (2012). Point and Curve-Based Geometric Conflation, International Journal of Geographic Information Science, 27, 1, 192-207 https://doi.org/10.1080/13658816.2012.677537

    Ariza-López, FJ; Ureña Cámara, M.A.; García Balboa (2010). Terra-Aster GDEM una posibilidad global para los catastros altimétricos. En 1er Congr. Int. sobre Catastro Unificado Multipropósito. Jaén, 2010. ISBN:978-84-8439-519-5

    Cuartero, A, Felicisimo AM, Ariza-López, FJ (2005). Accuracy, reliability, and depuration of SPOT HRV and Terra ASTER digital elevation models IEEE Transactions on Geoscience and Remote Sensing 43 (2), 404-407 DOI: 10.1109/TGRS.2004.841356

    Cuartero, A; Felicísimo, AM; Ariza-López, FJ (2004). Accuracy of DEM generation from Terra-ASTER stereo data. Proceedings XXth Congress ISPRS 2004. Estambúl. Comission VI, WG VI/4. Vol. XXXV, part B5.

    Staff

    According to the call and the conditions of participation two teams are distinguished:

    Research team

    Mª Virtudes Alba Fernández, Universidad de Jaen.

    Francisco Javier Ariza López, Universidad de Jaen.

    Domingo Barrera Rosillo, Universidad de Granada.

    José Luis García Balboa, Universidad de Jaén.

    Carlos León Robles, Universidad de Granda.

    Antonio Mozas Clavache, Universidad de Jaén.

    Miguel Pasadas Fernández, Universidad de Granda.

    Juan Francisco Reinoso Gordo, Universidad de Granda.

    José Rodríguez Avi, Universidad de Jaen.

    Juan José Ruíz Lendínez, Universidad de Jaen.

    Manuel Antonio Ureña Cámara, Universidad de Jaen.

    Working team

    Carlos López Vázquez, Universidad ORT (Uruguay).

    José Luis Mesa Mingorance, Universidad de Jaen.

    Claudia Pereira Krüeger, Universidade Federal do Paraná.

    Salah Eddargani, Universidad de Granada / Universidad Hassan I (Settat, Marruecos).

    Observer and promoter entities

    Entities promoting and participating in this project are the following:

    Geospatial data producers and users

    Instituto Geográfico Nacional, España.

    Confederación Hidrográfica del Guadalquivir, España.

    Instituto de Estadística y Cartografía de Andalucía, Andalucía, España.

    Agencia de Medio Ambiente y Agua de Andalucía, Andalucía, España.

    Institut Cartogràfic i Geològic de Catalunya, Cataluña, España.

    Gobierno de Navarra, Departamento de Cohesión Territorial, Dirección General de Obras Públicas e Infraestructuras, Servicio de Estudios y Proyectos Navarra, España.

    Diretoria de Serviço Geográfico (DSG), Exército Brasileiro, Brasil.

    Servicio Aerofotogramétrico, Fuerza Aérea de Chile, Chile.

    Private organizations

    Trabajos Catastrales (TRACASA) Navarra, España .

    Photos

    Field works

    Surroundings of Fitero In the Bárdenas
    Our friends in many places and cases Going up to the Belagua Port
    Above the Irati jungle Surroundings of Pamplona

    Links

    Some links of interest related to this topic are the following:

    EU-DEM digital surface model (DSM)

    World digital elevation model (ETOPO5)

    ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM)

    USA, 3D Elevation Program Standards and Specifications

    Digital Elevation Model - DEM Users Manual

     

    Acknowledgements

    This project is a collective work of a group of researchers that could not be carried out without the financial help of the Ministry of Economy and Competitiveness and the FEDER Funds and without many other supports that we also want to recognize from here:

    • Andalusian Government (Departments of Education and Science and Technology) for the funding to the PAI Research Group (TEP-164) "Ingeniería Cartográfica" since 1997 and that consolidated the group of researchers who developed this project.
    • Department of "Ingeniería Cartográfica, Geodésica y Fotogrametría" for unconditionally providing us with all kinds of small material and other necessary utilities in the development of a project of this magnitude, and especially to Joaquín Segura, for their essential administrative support (purchases, logistics, payments, etc.) and Antonio Mozas for his continued technical support.
    • This project has been partially financed by the Ministry of Science, Innovation and Universities, through the State Research Agency in the 2019 Call for "R+D+I Projects" within the framework of the state program for knowledge generation and strengthening scientific and technological R+D+I system and the state R+D+I program oriented to the challenges of society, Financed with FEDER funds. PID2019-106195RB-I00 /AEI/10.13039/501100011033 .

    Contact

    If you want to contact us:

    Francisco Javier Ariza López
    Universidad de Jaén
    Escuela Politécnica Superior
    Dpto. de Ingeniería Cartográfica, Geodésica y Fotogrametría
    Campus "Las Lagunillas", Edf. A-3
    23071 Jaén, España
    Tel +34 953 212469
    Fax +34 953 212855
    e-mail: fjariza

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