A computational approach for 3D modeling and integration of heterogeneous geo-data

Miola, Marianna; Cabiddu, Daniela; Pittaluga, S.; Mortara, Michela; Zuccolini, Marino Vetuschi; Imitazione, Gianmario

doi:10.1016/j.cag.2022.05.002

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…This pattern further continues, with a higher occurrence of lower-plasticity soils at depths of 3.0 m and 6.0 m. The traditional and improved formulations of the modified IDW algorithms integrated into the GIS and GEE tools showed significant differences in areal coverage percent. For instance, the difference in areal coverage percent for medium-plasticity (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) and high-plasticity (17-30) soil was found to be 23%. In addition, by incorporating the hill-shade effect, the GIS-based prediction model delineated sharp ridges in the prediction grid (figure 4 GEE-based GSMs for SPT-N comprised RMSE and MAE ranges between 0.92-2.1, while the NSE and 𝑅 2 ranged between 0.86 − 0.95 (figure 5 (d1)).…”

Section: Pi-based Gsmsmentioning

confidence: 99%

“…Despite these advancements, a notable research gap prevails in applying these techniques to develop geotechnical soil maps (GSMs), which is primarily attributed to significant variability in subsurface properties within a small grid [11]. However, the potential of advanced interpolation methods, particularly the improved formulation of the modified IDW algorithm integrated with the GEE platform, to accurately depict subsurface characteristics has yet to be fully explored and understood considering heterogeneous geotechnical facets [12,13]. This domain provides fertile ground for research, particularly to enhance GSMs precision and reliability, which are critical for informed geotechnical and geological decision making.…”

Section: Introductionmentioning

confidence: 99%

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Advanced geospatial modeling and statistical evaluation of heterogenous geotechnical facets at multiple depths using the improved formulation of modified Shepard IDW algorithm

Ijaz,

Zhao,

Ijaz

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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A formidable challenge in geology and geotechnics is the significant spatial heterogeneity in the subsoil characteristics in fine-scale grids. To mitigate this problem, geotechnical data is integrated as geotechnical soil maps (GSMs), which uses sophisticated interpolation techniques and provides an advanced understanding and accurate depiction of subsurface variability. This study uses an improved formulation of inverse distance weighting (IDW) algorithm based on modified Shepard method, integrated with the Google Earth Engine platform. The prediction efficiencies of GSMs and traditional IDW algorithm are statistically evaluated and compared, considering heterogeneous geotechnical facets at multiple depths in an unexplored region. Pertinent geotechnical properties including soil type, plasticity index, and standard penetration test were considered to evaluate the algorithm performance based on critical performance metrics. The results demonstrate that the improved formulation of the IDW algorithm is more relevant to field values and tends to align with Tobler's first law of geography by inducing a smooth transition rather than a disruptive trend owing to high geotechnical variability. The prediction accuracy increased by 10 – 20% compared to the traditional IDW algorithm. This study demonstrates and promotes the use of an improved formulation of the modified IDW algorithm considering its better accuracy and relevance to field value

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Section: Pi-based Gsmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Advanced geospatial modeling and statistical evaluation of heterogenous geotechnical facets at multiple depths using the improved formulation of modified Shepard IDW algorithm

Ijaz,

Zhao,

Ijaz

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…3D models digitally represent shape and features of real objects or phenomena characterised by a three-dimensional nature, i.e., having a spatial extension, which can also bear knowledge in relation to the context of use. In medicine, for example, 3D images are commonly used in diagnostics; in the cultural heritage sector, the digitisation of artistic or archaeological works is increasingly used for conservation, dissemination, and support for documentation and restoration; in the geosciences, 3D models are used for environmental monitoring and risk assessment [8,9], and so on. Furthermore, digital representations enable the application of mathematical models and algorithms to perform analysis, simulation, prediction, that are useful in responding to societal demands and needs.…”

Section: Background On 3d Modeling In the Ui Contextmentioning

confidence: 99%

Potential of the Geometric Layer in Urban Digital Twins

Scalas

Cabiddu

Mortara

et al. 2022

IJGI

Self Cite

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A urban digital twin is the virtual representation of real assets, processes, systems and subsystems of a city. It uses and integrates heterogeneous data to learn and evolve with the physical city, providing support to monitor the current status and predict/anticipate possible future scenarios. In this paper, we focus on the issues and potential related to the geometric layer of the city digital twin. On the one hand, detailed 3D data to reconstruct the urban morphology very accurately might not be available, and planning a new survey is costly in terms of money and time. On the other hand, the more the geometry adheres to the real counterpart, the more accurate measures and simulations related to the urban space will be. We describe our approach to develop the geometric layer of the digital twin of the city of Matera, in Italy, using only pre-existing public data. Specifically, our method exploits available digital elevation models from a previous regional aerial survey and integrates them with data coming from OpenStreetMap to generate an as-precise-as-possible 3D model, annotated with heterogeneous semantic information. We demonstrate the potential of the geometric layer by developing two geometric characterisation services, namely route slope extraction and light/shadow maps according to a specific date and time. In the next steps, the computed attributes will help to answer specific objectives which could be of interest for the Municipality, such as personalised optimal routes taking into account user preferences including slope and perceived environmental comfort.

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Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2021)

Frosini¹,

Giorgi²,

Melzi³

et al. 2022

Computers & Graphics

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A computational approach for 3D modeling and integration of heterogeneous geo-data

Cited by 6 publications

References 23 publications

Advanced geospatial modeling and statistical evaluation of heterogenous geotechnical facets at multiple depths using the improved formulation of modified Shepard IDW algorithm

Advanced geospatial modeling and statistical evaluation of heterogenous geotechnical facets at multiple depths using the improved formulation of modified Shepard IDW algorithm

Potential of the Geometric Layer in Urban Digital Twins

Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2021)

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