Journal articles on the topic 'Geomatic approach'

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1

Agosto, Eros, Andrea Ajmar, Piero Boccardo, Fabio Giulio Tonolo, and Andrea Lingua. "Crime Scene Reconstruction Using a Fully Geomatic Approach." Sensors 8, no. 10 (October 8, 2008): 6280–302. http://dx.doi.org/10.3390/s8106280.

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Esposito, Giuseppe, Riccardo Salvini, Marco Sacchi, and Fabio Matano. "A geomatic approach for emergency mapping of shallow landslides." Rendiconti online della Società Geologica Italiana 35 (April 2015): 121–23. http://dx.doi.org/10.3301/rol.2015.79.

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Tejeda-Sánchez, C., A. Muñoz-Nieto, and P. Rodríguez-Gonzálvez. "GEOMATIC ARCHAEOLOGICAL RECONSTRUCTION AND A HYBRID VIEWER FOR THE ARCHAELOGICAL SITE OF CÁPARRA (SPAIN)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 1105–11. http://dx.doi.org/10.5194/isprs-archives-xlii-2-1105-2018.

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Visualization and analysis use to be the final steps in Geomatics. This paper shows the workflow followed to set up a hybrid 3D archaeological viewer. Data acquisition of the site survey was done by means of low-cost close-range photogrammetric methods. With the aim not only to satisfy the general public but also the technicians, a large group of Geomatic products has been obtained (2d plans, 3d models, orthophotos, CAD models coming from vectorization, virtual anastylosis, and cross sections). Finally, all these products have been integrated into a three-dimensional archaeological information system. The hybrid archaeological viewer designed allows a metric and quality approach to the scientific analysis of the ruins, improving, thanks to the implementation of a database, and its potential for queries, the benefits of an ordinary topographic survey.
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Piccinini, Fabio, Alban Gorreja, Francesco Di Stefano, Roberto Pierdicca, Luis Javier Sanchez Aparicio, and Eva Savina Malinverni. "Preservation of Villages in Central Italy: Geomatic Techniques’Integration and GIS Strategies for the Post-Earthquake Assessment." ISPRS International Journal of Geo-Information 11, no. 5 (April 30, 2022): 291. http://dx.doi.org/10.3390/ijgi11050291.

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Historical villages represent a highly vulnerable cultural heritage; their preservation can be ensured thanks to technological innovations in the field of geomatics and information systems. Among these, Geographical Information Systems (GISs) allow exploiting heterogeneous data for efficient vulnerability assessment, in terms of both time and usability. Geometric attributes, which currently are mainly inferred by visual inspections, can be extrapolated from data obtained by geomatic technologies. Furthermore, the integration with non-metric data ensures a more complete description of the post-seismic risk thematic mapping. In this paper, a high-performance information system for small urban realities, such as historical villages, is described, starting from the 3D survey obtained through the integrated management of recent innovative geomatic sensors, such as Unmanned Aerial Vehicles (UAVs), Terrestrial Laser Scanners (TLSs), and 360º images. The results show that the proposed strategy of the automatic extraction of the parameters from the GIS can be generalized to other case studies, thus representing a straightforward method to enhance the decision-making of public administrations. Moreover, this work confirms the importance of managing heterogeneous geospatial data to speed up the vulnerability assessment process. The final result, in fact, is an information system that can be used for every village where data have been acquired in a similar way. This information could be used in the field by means of a GIS app that allows updating the geospatial database, improving the work of technicians. This approach was validated in Gabbiano(Pieve Torina), a village in Central Italy affected by earthquakes in 2016 and 2017.
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Achachi, A., and D. Benatia. "NEW MODEL OF A SOLAR WIND AIRPLANE FOR GEOMATIC OPERATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (August 26, 2015): 137–42. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-137-2015.

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The ability for an aircraft to fly during a much extended period of time has become a key issue and a target of research, both in the domain of civilian aviation and unmanned aerial vehicles. This paper describes a new design and evaluating of solar wind aircraft with the objective to assess the impact of a new system design on overall flight crew performance. The required endurance is in the range of some hours in the case of law enforcement, border surveillance, forest fire fighting or power line inspection. However, other applications at high altitudes, such as geomatic operations for delivering geographic information, weather research and forecast, environmental monitoring, would require remaining airborne during days, weeks or even months. The design of GNSS non precision approach procedure for different airports is based on geomatic data.
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Diaz-de-Quijano, Maria, Daniel Joly, Daniel Gilbert, and Nadine Bernard. "A more cost-effective geomatic approach to modelling PM10 dispersion across Europe." Applied Geography 55 (December 2014): 108–16. http://dx.doi.org/10.1016/j.apgeog.2014.09.002.

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Aicardi, I., S. Angeli, N. Grasso, A. M. Lingua, and P. Maschio. "GEOMATIC TECHNIQUES FOR THE OPTIMIZATION OF SKI RESOURCES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 1009–16. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1009-2020.

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Abstract. Climate change is already affecting the entire world, with extreme weather conditions such as drought, heat waves, heavy rain, floods and landslides becoming more frequent, including Europe. In according to Paris agreement and relative European announcement of Carbon neutrality (by 2050), the saving of water and energy supplies is a fundamental aspect in the management of resources in production, sports, hospitality facilities and so on. Some methodologies for the optimization of the consumption of natural resources are required. This article describes an activity aimed at measuring, monitoring and analysing the thickness of the snowpack on the ski slopes during the winter season to permit a sustainable approach of snowmaking in alpine ski areas . The authors propose a methodology based on the integration of multitemporal surface (ground/snow) survey by Autonomous Aerial Vehicle (AAV) and low cost GNSS receivers mounted on snow groomers for a RTK (Real Time Kinematic) solution. To obtain a complete snow surface digital models with poor detailed images on ski slopes, some pre-processing techniques have been analysed to locally improve contrast and details with a local high pass filtering. The methodology has been employed in two study areas (Limone Piemonte, Prato Nevoso) located in the province of Cuneo, in the southern alpine area of Piedmont.
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Tukka and Apollos Audu. "Geomatic Approach to Modelling Urban-Fire-Risk Susceptibility in Akure, Ondo State, Nigeria." International Research Journal of Innovations in Engineering and Technology 06, no. 01 (2022): 102–9. http://dx.doi.org/10.47001/irjiet/2022.601018.

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9

Vacca, A., S. Loddo, M. T. Melis, A. Funedda, R. Puddu, M. Verona, S. Fanni, et al. "A GIS based method for soil mapping in Sardinia, Italy: A geomatic approach." Journal of Environmental Management 138 (June 2014): 87–96. http://dx.doi.org/10.1016/j.jenvman.2013.11.018.

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Giuliano, Monica, and Ciro Manzo. "From monument to geosite: a geomatic approach to link geological and cultural heritage." Rendiconti Online della Società Geologica Italiana 39 (March 2016): 76–80. http://dx.doi.org/10.3301/rol.2016.51.

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Singha, S., S. Pasupuleti, S. Singha, and V. G. K. Villuri. "An integrated approach for evaluation of groundwater quality in Korba district, Chhattisgarh using Geomatic techniques." Journal of Environmental Biology 38, no. 5 (September 1, 2017): 865–72. http://dx.doi.org/10.22438/jeb/38/5/mrn-600.

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Marín-Comitre, Ubaldo, Álvaro Gómez-Gutiérrez, Francisco Lavado-Contador, Manuel Sánchez-Fernández, and Alberto Alfonso-Torreño. "Using Geomatic Techniques to Estimate Volume–Area Relationships of Watering Ponds." ISPRS International Journal of Geo-Information 10, no. 8 (July 26, 2021): 502. http://dx.doi.org/10.3390/ijgi10080502.

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Watering ponds represent an important part of the hydrological resources in some water-limited environments. Knowledge about their storage capacity and geometrical characteristics is crucial for a better understanding and management of water resources in the context of climate change. In this study, the suitability of different geomatic approaches to model watering pond geometry and estimate pond-specific and generalized volume–area–height (V–A–h) relationships was tested. Terrestrial structure-from-motion and multi-view-stereo photogrammetry (SfM-MVS), terrestrial laser scanner (TLS), laser-imaging detection and ranging (LIDAR), and aerial SfM-MVS were tested for the emerged terrain, while the global navigation satellite system (GNSS) was used to survey the submerged terrain and to test the resulting digital elevation models (DEMs). The combined use of terrestrial SfM-MVS and GNSS produced accurate DEMs of the ponds that resulted in an average error of 1.19% in the maximum volume estimation, comparable to that obtained by the TLS+GNSS approach (3.27%). From these DEMs, power and quadratic functions were used to express pond-specific and generalized V–A–h relationships and checked for accuracy. The results revealed that quadratic functions fit the data particularly well (R2 ≥ 0.995 and NRMSE < 2.25%) and can therefore be reliably used as simple geometric models of watering ponds in hydrological simulation studies. Finally, a generalized V–A power relationship was obtained. This relationship may be a valuable tool to estimate the storage capacity of other watering ponds in comparable areas in a context of data scarcity.
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Hami, Khelifa, Ibrahim Zeroual, Talhi Abdelkrim, and Djelloul Zenati. "Geomatic Approach and Geophysical Interpretation of the Hydrogeological Basin of the Hassi Naga Region (Algerian Southwest)." International Journal of Environment, Agriculture and Biotechnology 3, no. 2 (2018): 641–46. http://dx.doi.org/10.22161/ijeab/3.2.44.

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14

Alicandro, M., D. Dominici, R. Quaresima, S. Zollini, D. De Luca, and S. Pietrangeli. "Geomatic multiscale approach for the conservation of archeological sites: the case of Alba Fucens (L’Aquila-Italy)." IOP Conference Series: Materials Science and Engineering 949 (November 11, 2020): 012032. http://dx.doi.org/10.1088/1757-899x/949/1/012032.

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15

Aicardi, I., P. Dabove, A. Lingua, and M. Piras. "Sensors integration for smartphone navigation: performances and future challenges." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (August 11, 2014): 9–16. http://dx.doi.org/10.5194/isprsarchives-xl-3-9-2014.

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Nowadays the modern smartphones include several sensors which are usually adopted in geomatic application, as digital camera, GNSS (Global Navigation Satellite System) receivers, inertial platform, RFID and Wi-Fi systems. <br><br> In this paper the authors would like to testing the performances of internal sensors (Inertial Measurement Unit, IMU) of three modern smartphones (Samsung GalaxyS4, Samsung GalaxyS5 and iPhone4) compared to external mass-market IMU platform in order to verify their accuracy levels, in terms of positioning. Moreover, the Image Based Navigation (IBN) approach is also investigated: this approach can be very useful in hard-urban environment or for indoor positioning, as alternative to GNSS positioning. <br><br> IBN allows to obtain a sub-metrical accuracy, but a special database of georeferenced images (Image DataBase, IDB) is needed, moreover it is necessary to use dedicated algorithm to resizing the images which are collected by smartphone, in order to share it with the server where is stored the IDB. Moreover, it is necessary to characterize smartphone camera lens in terms of focal length and lens distortions. <br><br> The authors have developed an innovative method with respect to those available today, which has been tested in a covered area, adopting a special support where all sensors under testing have been installed. Geomatic instrument have been used to define the reference trajectory, with purpose to compare this one, with the path obtained with IBN solution. First results leads to have an horizontal and vertical accuracies better than 60 cm, respect to the reference trajectories. IBN method, sensors, test and result will be described in the paper.
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Solla, Mercedes, Luisa M. S. Gonçalves, Gil Gonçalves, Carina Francisco, Iván Puente, Paulo Providência, Florindo Gaspar, and Hugo Rodrigues. "A Building Information Modeling Approach to Integrate Geomatic Data for the Documentation and Preservation of Cultural Heritage." Remote Sensing 12, no. 24 (December 9, 2020): 4028. http://dx.doi.org/10.3390/rs12244028.

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Non-destructive testing (NDT) techniques play an important role in the characterization and diagnosis of historic buildings, keeping in mind their conservation and possible rehabilitation. This paper presents a new approach that merges building information modeling (BIM) with environment geospatial data obtained by several non-destructive techniques, namely terrestrial laser scanning, ground-penetrating radar, infrared thermography, and the automatic classification of pathologies based on RGB (red, green, blue) imaging acquired with an unmanned aircraft system (UAS). This approach was applied to the inspection of the Monastery of Batalha in Leiria, Portugal, a UNESCO World Heritage Site. To assess the capabilities of each technique, different parts of the monastery were examined, namely (i) part of its west façade, including a few protruding buttresses, and (ii) the masonry vaults of the Church (nave, right-hand aisle, and transept) and the Founder’s Chapel. After describing the employed techniques, a discussion of the optimization, treatment and integration of the acquired data through the BIM approach is presented. This work intends to contribute to the application of BIM in the field of cultural heritage, aiming at its future use in different activities such as facility management, support in the restoration and rehabilitation process, and research.
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Blanco, Julien, Anne Sourdril, Marc Deconchat, Sylvie Ladet, and Emilie Andrieu. "Social drivers of rural forest dynamics: A multi-scale approach combining ethnography, geomatic and mental model analysis." Landscape and Urban Planning 188 (August 2019): 132–42. http://dx.doi.org/10.1016/j.landurbplan.2018.02.005.

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Almeida, M., H. Hildmann, and G. Solmaz. "DISTRIBUTED UAV-SWARM-BASED REAL-TIME GEOMATIC DATA COLLECTION UNDER DYNAMICALLY CHANGING RESOLUTION REQUIREMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 23, 2017): 5–12. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-5-2017.

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Unmanned Aerial Vehicles (UAVs) have been used for reconnaissance and surveillance missions as far back as the Vietnam War, but with the recent rapid increase in autonomy, precision and performance capabilities &amp;ndash; and due to the massive reduction in cost and size &amp;ndash; UAVs have become pervasive products, available and affordable for the general public. The use cases for UAVs are in the areas of disaster recovery, environmental mapping &amp; protection and increasingly also as extended eyes and ears of civil security forces such as fire-fighters and emergency response units. In this paper we present a swarm algorithm that enables a fleet of autonomous UAVs to collectively perform sensing tasks related to environmental and rescue operations and to dynamically adapt to e.g. changing resolution requirements. We discuss the hardware used to build our own drones and the settings under which we validate the proposed approach.
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Calzolari, Costanza, Fabrizio Ungaro, and Andrea Vacca. "Effectiveness of a soil mapping geomatic approach to predict the spatial distribution of soil types and their properties." CATENA 196 (January 2021): 104818. http://dx.doi.org/10.1016/j.catena.2020.104818.

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Adami, A., and L. Fregonese. "GEOMATICS IN THE MANAGEMENT OF BUILT HERITAGE THROUGH BIM SYSTEMS. THE TRAINING OF NEW EXPERIENCED PROFESSIONAL FIGURES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2020 (August 24, 2020): 9–14. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2020-9-2020.

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Abstract. Geomatics is trying to redefine its role in the Italian higher-level educational system according to the new technological developments. The recent thematic thread of Building Information Modelling (BIM) systems contributes to the new role of Geomatics inside universities and, more generally, in the training process. BIM systems propose new ways of managing the construction process throughout building life cycle, from design to construction and management. They allow managing large flows of information, organized and shared among the different operators in the construction chain, through databases linked to three-dimensional objects. The BIM approach is based on two principles: interoperability and digitization.BIM was born as an application dedicated to new buildings, to promote the optimization of the entire life cycle of the building, from design to management. Many countries have been active in this sector for years, while others are now joining the digitization approach. In this complex scenario, the proposal to adopt the BIM process not only for the management of new constructions but also for the intervention on the existing one, is relevant in a country, like Italy, with a very rich history and a high presence of built historical heritage. Maurice Murphy coined the term HBIM (Historic Building Information Modelling), referring to BIM systems applied to historical buildings that need intervention and subsequent management.Geomatics plays a crucial role in HBIM as it is the primary tool for the digitization of built heritage and to obtain a model of the existing, an "as-built" model. In order to achieve this result, laser scanner and photogrammetry are the main tools, and they are involved in the so-called Scan2Bim process. The other important role is connected with the modeling stage to arrive at a three-dimensional representation suitable for common BIM authoring software while maintaining the rigor and accuracy that characterize the geomatic approach.The fundamental role of Geomatics in this context requires the training of personnel specialized in surveying and managing the acquired data through HBIM systems. There are new training courses and masters in the field of BIM systems, hosted by Politecnico di Milano at the Mantua Campus, aimed at training new figures with a specific curriculum, including Geomatics.The elements that characterize the training course are the knowledge of the principles and methods of data and the evaluation of achievable accuracy and admissible errors. It is also important to address issues that are still not completely solved in HBIM community, such as the type of modeling the best levels of detail of geometric and information content and the most practical aspects of commercial BIM authoring software.The article describes the experience carried out by Politecnico di Milano and tries to define, afterward, the training curriculum for HBIM experts, in which Geomatics plays an essential role, not only in the data acquisition phase but also in geometric and informative modeling.
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Talbi, Okacha, Belaïd Fatmi, Khatir Benhanifia, and Djilali Talbi. "Water Erosion Mapping by RUSLE: A Geomatic Approach by GIS and Remote Sensing in the Oued Isser Watershed, Tlemcen, Algeria." Geomatics and Environmental Engineering 15, no. 2 (March 24, 2021): 89–104. http://dx.doi.org/10.7494/geom.2021.15.2.89.

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Prolonged water erosion leads to severe soil degradation, with highly visible scars. Consequently, the quantitative and descriptive estimation by mapping of the phenomenon has become the main objective of a great deal of research. It is this perspective that this study takes, based on the Revised Universal Soil Losses Equation (RUSLE) for a relatively accurate estimate, by integrating Arc‑GIS tools and remote sensing using high spatial resolution (10 m) image from the Sentinel‑2A satellite. The model uses data on precipitation, soil, topography and vegetation cover management. The methodological approach taken implements this model in order to optimize its use by the various potential users in their planning and decision‑making studies. An application was carried out in the Oued Isser watershed (Tlemcen, Algeria). Soil loss maps were produced and the results indicate a high variation in soil losses in the study area and show that the highest values are concentrated on steep slopes, hence the great influence of the topographic parameter relative to other factors in the model.
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Bertrand, Mélanie, Hervé Piégay, Didier Pont, Frédéric Liébault, and Eric Sauquet. "Sensitivity analysis of environmental changes associated with riverscape evolutions following sediment reintroduction: geomatic approach on the Drôme River network, France." International Journal of River Basin Management 11, no. 1 (March 2013): 19–32. http://dx.doi.org/10.1080/15715124.2012.754444.

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Kamicaityte, Jurate, Indre Grazuleviciute-Vileniske, and Sebastien Gadal. "Role of Multicultural Identity in Landscape Perception and Methodological Possibilities of Its Interdisciplinary Analysis." Landscape architecture and art 15 (March 23, 2020): 65–74. http://dx.doi.org/10.22616/j.landarchart.2019.15.07.

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The paper presents the overview and comparative analysis of landscape cross-cultural and sub-cultural perception research methodologies in order to develop hypothetical methodological framework of interdisciplinary evaluation of cultural differences in landscape perception. The landscape research methods used for the analysis of impact of socio-cultural factors on landscape perception can be classified as mix of psychophysical and cognitive approach and are mostly based on the statistical analysis of the results of sociological research. Drawing the research closer to the relational concept, we propose the hypothetical methodological scheme of interdisciplinary evaluation of cultural differences in landscape perception that integrates landscape research with the knowledge of cultural studies, quantitative sociology (statistical analysis of the results of sociological research: factor analysis, component analysis, correlations, etc.), environmental psychology (cognitive mapping, Landscape Image Sketching Technique, landscape and environmental preferences, way finding, eye-tracking, etc.), and geography (geomatic) (geographic information systems, remote sensing).
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Dabove, Grasso, and Piras. "Smartphone-Based Photogrammetry for the 3D Modeling of a Geomorphological Structure." Applied Sciences 9, no. 18 (September 16, 2019): 3884. http://dx.doi.org/10.3390/app9183884.

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The geomatic survey in the speleological field is one of the main activities that allows for the adding of both a scientific and popular value to cave exploration, and it is of fundamental importance for a detailed knowledge of the hypogean cavity. Today, the available instruments, such as laser scanners and metric cameras, allow us to quickly acquire data and obtain accurate three-dimensional models, but they are still expensive, require a careful planning phase of the survey, as well as some operator experience for their management. This work analyzes the performance of a smartphone device for a close-range photogrammetry approach for the extraction of accurate three-dimensional information of an underground cave. The image datasets that were acquired with a high-end smartphone were processed using the Structure from Motion (SfM)-based approach for dense point cloud generation: different image-matching algorithms implemented in a commercial and an open source software and in a smartphone application were tested. In order to assess the reachable accuracy of the proposed procedure, the achieved results were compared with a reference dense point cloud obtained with a professional camera or a terrestrial laser scanner. The approach has shown a good performance in terms of geometrical accuracies, computational time and applicability.
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Patrucco, G., F. Chiabrando, A. Dameri, and L. Teppati Losè. "GEOMATIC CONTRIBUTION FOR THE RESTORATION PROJECT OF THE VALENTINO CASTLE GREEN ROOM. FROM DATA ACQUISITION TO INTEGRATED DOCUMENTATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 885–92. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-885-2020.

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Abstract. In the framework of restoration operations, valuable assistance can be supplied from innovative techniques and methods developed in the field of Geomatics. Over the years, this continuous collaboration has produced synergistic and interdisciplinary results that have been successfully contributing to heritage conservation and valorisation. In the case of the current research, thorough multisensory investigations have been performed in order to provide a deeper knowledge of the Green Room of the Valentino Castle in Turin and to support the planning of the future restoration works that will involve this valuable asset. In the framework of this experience, four LiDAR systems have been employed in order to evaluate the different results obtainable from the sensors. Additionally, a complete photogrammetric close-range survey has been carried out, and some tests were completed using a hyperspectral camera. The workflow followed during the current research is described in this paper, and a comparison between the obtained outputs is proposed, focusing on the characteristics of these metric products, useful and sometimes necessary in the framework of the restoration project. Besides, some considerations on the advantages and the issues connected with the use of these reality-based data as a starting point for HBIM (Heritage Building Information Modeling) model generation are proposed, along with some observations about the potentialities of a photogrammetric co-registration approach using spectrum technologies for deterioration/decay detection and monitoring of heritage.
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Smaiah, Meriem, Mebarek Djebabra, and Leila Boubaker. "Proposal for a new method for analyzing the domino effect in an oil refinery and its impact on the environment." Management of Environmental Quality: An International Journal 30, no. 5 (August 5, 2019): 910–24. http://dx.doi.org/10.1108/meq-09-2018-0167.

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Purpose The purpose of this paper is to propose a new managerial method to integrate the environmental dimension in the domino effects (DEs) analysis. Design/methodology/approach The proposed method is a three-step approach: identification of primary hazards in the form of potential events causing the DE, a mixed quantification (deterministic and probabilistic) of the risk of the DEs with a view to its control and capitalizing the results from the BLEVESOFT software as well as those relating to the probability of occurrence of the DEs in the form of a prioritized action plan dedicated to surrounding environments (proximity territory). Findings The primary hazards are technologically manageable at the studied system but are unpredictable if triggered at the environmental subsystem because they are difficult to be managed and often cause panic, which is a form of a very catastrophic DE. Research limitations/implications The research could affect members of the engineering and construction industry, and can be applied in several domains since it studies the DE phenomenon. which is a common problem especially in industrials plants. Practical implications The proposal method is applied in an industrial terminal in Algeria. Originality/value This paper presents an exploratory study of using a new managerial method that aims to combine the potentialities of geomatic sciences that allow the spatial representation of nearby territories to assess the severity of DEs through a deterministic approach, and the modeling of DEs as well as their analysis by a probabilistic approach.
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Maté-González, Miguel Ángel, Luis Javier Sánchez-Aparicio, Cristina Sáez Blázquez, Pedro Carrasco García, David Álvarez-Alonso, María de Andrés-Herrero, Juan Carlos García-Davalillo, et al. "On the Combination of Remote Sensing and Geophysical Methods for the Digitalization of the San Lázaro Middle Paleolithic Rock Shelter (Segovia, Central Iberia, Spain)." Remote Sensing 11, no. 17 (August 29, 2019): 2035. http://dx.doi.org/10.3390/rs11172035.

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This paper is focused on the Middle Paleolithic rock shelter called “Abrigo de San Lázaro”, placed in the Eresma River valley (Segovia, Spain). In this area, a multisource geomatic approach is used. On the one hand, the external envelope of the shelter has been digitalized by the means of an efficient combination between aerial photogrammetry and laser scanning (static and mobile). On the other hand, the ground penetrating radar and the electric tomography were used with the aim of evaluating the inner disposition of the shelter. The combination of both digitalization (external and internal) has allowed for improving the knowledge of the site characteristics that, in turn, will facilitate the future excavation works. The results of these studies allow archaeologists to know new data for a better understanding of the site formation (geology of the site, sedimentary potential, rock shelter dimensions, etc.) and the events that took place in it (knowing its historical evolution, especially the interaction between man and the environment). Additionally, the information obtained from these studies is very useful to plan future excavation works on the site.
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Cangemi, Marianna, Valentina Censi, Paolo Madonia, and Rocco Favara. "Application of Geostatistical Tools to the Geochemical Characterization of the Peloritani Mts (Sicily, Italy) Aquifers." Water 13, no. 22 (November 18, 2021): 3269. http://dx.doi.org/10.3390/w13223269.

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Sources of groundwater contaminants in inhabited areas, located in complex geo-tectonic contexts, are often deeply interlocked, thus, making the discrimination between anthropic and natural origins difficult. In this study, we investigate the Peloritani Mountain aquifers (Sicily, Italy), using the combination of probability plots with concentration contour maps to retrieve an overall view of the groundwater geo-chemistry with a special focus on the flux of heavy metals. In particular, we present a methodology for integrating spatial data with very different levels of precision, acquired before and during the “geomatic era”. Our results depict a complex geochemical layout driven by a geo-puzzle of rocks with very different lithological natures, hydraulically connected by a dense tectonic network that is also responsible for the mixing of deep hydrothermal fluids with the meteoric recharge. Moreover, a double source, geogenic or anthropogenic, was individuated for many chemicals delivered to groundwater bodies. The concentration contour maps, based on the different data groups identified by the probability plots, fit the coherency and congruency criteria with the distribution of both rock matrices and anthropogenic sources for chemicals, indicating the success of our geostatistical approach.
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Quesnel-Barbet, A., J. Soula, F. Dufossez, N. Sharma, A. Ruhela, and R. Beuscart. "POLESAT, an innovative e-health geomatic platform in decision-making based on: Geographical approach, medical knowledge visualization and geographic information system & web-mapping architecture." IRBM 34, no. 4-5 (November 2013): 267–73. http://dx.doi.org/10.1016/j.irbm.2013.06.001.

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Fantozzi, Pier Lorenzo, Giuseppe Baracca, Fabio Manenti, and Giovanni Putoto. "Measuring Physical access to primary health care facilities in Gambella Region (Western Ethiopia)." Proceedings of the ICA 4 (December 3, 2021): 1–8. http://dx.doi.org/10.5194/ica-proc-4-30-2021.

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Abstract. As part of the project “More equity and quality of health services in Gambella, Gambella Region”, financed by the Italian Agency for Development Cooperation (AICS) and implemented by the Italian NGO Doctors with Africa CUAMM (Padua, Italy) a geographic database of the distribution of health facilities of Gambella Region (western Ethiopia) was created. This data collection was carried out in two missions carried out in February 2018 and November-December 2019. It allowed a mapping of the access roads and the location of health facilities using Geomatic Approaches and related technologies (Remote Survey, Field Survey, GPS, GIS). The field work has allowed the investigation in 11 Waredas (i.e. districts) with the census of 3 primary hospitals, 26 health centres and 121 HPs and related road access by car or, in case of inaccessibility of vehicles, by foot or boat.The final result of this work is the availability of a detailed cartographic picture of the geographical distribution of Health Facilities (HFs) in order to support the modern decision-making tools to be adopted for the distribution of human and instrumental resources. As an example we describe a network analysis performed by ESRI™ Network Analyst which showed the importance of this approach to remodel a more efficient referral system.
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Ait inoh, Hayat, Mohamed Tayebi, and Rajji Abdelatif. "Contribution of Remote Sensing and GIS to Identify the Potential Area for Artificial Recharge in Fractured Area in the Talmakent Region, Western High Atlas, Morocco." Journal of Environmental and Agricultural Studies 3, no. 1 (January 15, 2022): 24–36. http://dx.doi.org/10.32996/jeas.2022.3.1.3.

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In view of the progressive retreat of groundwater due to rarity, continuous depletion and overexploitation of water, especially in mountainous areas, which are a major source of water, there is a need for artificial recharge for better management of these resources to ensure their long-term sustainability. The approach used is a contribution of new geomatic technologies; Remote Sensing coupled with Geographic Information Systems, for the mapping of potential areas of artificial recharge in the fractured medium of the Talmakent region, which is located in the western high atlas and is characterized by the presence of impermeable rocks. This study requires the consideration of different factors influencing the recharge potential, which are the characteristics of the land surface such as geology lineaments, geomorphology and drainage system. All these criteria are grouped in a GIS prototype in which a multi-criteria overlay analysis has been done for the cartographic restitution of the potential areas for artificial groundwater recharge. The existing basins in the area revealed that only 6% of the total area was identified as having a high potential for groundwater recharge, hence suitable for the implementation of new artificial recharge structures. While 94% of the area has a low to moderate recharge potential, hence unsuitable for groundwater recharge processes.
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Maria Michael Visuwasam, L., D. Paulraj, G. Gayathri, K. Divya, S. Hariprasath, and A. Jayaprakashan. "Intelligent Personal Digital Assistants and Smart Destination Platform (SDP) for Globetrotter." Journal of Computational and Theoretical Nanoscience 17, no. 5 (May 1, 2020): 2254–60. http://dx.doi.org/10.1166/jctn.2020.8880.

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Travel and tourism is the leading application field in the era of 21st century. As it is not possible for the tourist to always prefer the guide book, guide or any other sources for the information of any location. Our work aims to address these challenges by proposing the algorithms to recommend personalized travel itineraries for both individuals and group of tourist based on their interest preferences. The main approach of this recommendation system is to improvise the older existing applications by providing various analytical results. In-order to make best plans and knowing multiple details about the unknown places is quite a difficult issue. So our recommendation system helps to solve such problems. It uses Geomatic mapping for location which is stored in cloud, also can be viewed in offline. Experimental evaluation in Flickr dataset of multiple cites forming links between images sharing common metadata from tourist. Weather is predicted using Hadoop, also the way of travelling to communicate across different places is identified by the recommendation system. One other facility in this recommendation system consists of a translator, translates words or sentences into native language. These patterns score found in historical data can be used for predicting the future.
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Zazo, Santiago, Pablo Rodríguez-Gonzálvez, José-Luis Molina, Diego González-Aguilera, Carlos Agudelo-Ruiz, and David Hernández-López. "Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry." Remote Sensing 10, no. 10 (October 1, 2018): 1566. http://dx.doi.org/10.3390/rs10101566.

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Increasing flood hazards worldwide due to the intensification of hydrological events and the development of adaptation-mitigation strategies are key challenges that society must address. To minimize flood damages, one of the crucial factors is the identification of flood prone areas through fluvial hydraulic modelling in which a detailed knowledge of the terrain plays an important role for reliable results. Recent studies have demonstrated the suitability of the Reduced Cost Aerial Precision Photogrammetry (RC-APP) technique for fluvial applications by accurate-detailed-reliable Digital Terrain Models (DTMs, up to: ≈100 point/m2; vertical-uncertainty: ±0.06 m). This work aims to provide an optimal relationship between point densities and vertical-uncertainties to generate more reliable fluvial hazard maps by fluvial-DTMs. This is performed through hydraulic models supported by geometric models that are obtained from a joint strategy based on Structure from Motion and Cloth Simulation Filtering algorithms. Furthermore, to evaluate vertical-DTM, uncertainty is proposed as an alternative approach based on the method of robust estimators. This offers an error dispersion value analogous to the concept of standard deviation of a Gaussian distribution without requiring normality tests. This paper reinforces the suitability of new geomatic solutions as a reliable-competitive source of accurate DTMs at the service of a flood hazard assessment.
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Rădulescu, V. M., G. M. T. Rădulescu, Sanda Naș, A. T. Rădulescu, M. Bondrea, and Corina M. Rădulescu. "Geoinformatics Technologies for Preservation of Cultural Heritage, Case Study, Rákóczi-Bánffy Castle, Urmeniș, Bistriţa Năsăud County, Romania." Journal of Applied Engineering Sciences 11, no. 1 (May 1, 2021): 41–48. http://dx.doi.org/10.2478/jaes-2021-0006.

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Abstract The paper presents an application of the methodology used in the paper “Synthetic analysis of geoinformatics technologies for cultural heritage conservation, methodological approach”. The creation of the 3D model of the Rákóczi-Bánffy Castle in Urmeniș, Bistrița Năsăud County, was done by applying and integrating Terrestrial Laser Scanning (TLS) technologies and aerial photogrammetry performed with an Unmanned Aerial Vehicle (UAV). Agisoft Photoscan was used to compare the results and then they were compared with the images scanned using CloudCompare software. Thus, following the performance, with the help of the mentioned software, of a series of processing of the point cloud obtained, through the two imaging technologies, the error between the points belonging to the point cloud taken with UAV and the one taken with Laser Scanner was between 1 and 15 mm, the margin of error being acceptable for monuments without complex architectural details, so that the point cloud resulting from UAVs can be used successfully in this activity. The aim of the paper is to elaborate a geomatic methodology with an optimized cost-quality ratio, later replicable in the analysis of the current state of other constructions of the same type, knowing that over 600 castles in Transylvania alone are in a similar state, and such cases can be found in other Central European states as well.
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Bitelli, G., G. Castellazzi, A. M. D’Altri, S. De Miranda, A. Lambertini, and I. Selvaggi. "AUTOMATED VOXEL MODEL FROM POINT CLOUDS FOR STRUCTURAL ANALYSIS OF CULTURAL HERITAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 191–97. http://dx.doi.org/10.5194/isprs-archives-xli-b5-191-2016.

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In the context of cultural heritage, an accurate and comprehensive digital survey of a historical building is today essential in order to measure its geometry in detail for documentation or restoration purposes, for supporting special studies regarding materials and constructive characteristics, and finally for structural analysis. Some proven geomatic techniques, such as photogrammetry and terrestrial laser scanning, are increasingly used to survey buildings with different complexity and dimensions; one typical product is in form of point clouds. We developed a semi-automatic procedure to convert point clouds, acquired from laserscan or digital photogrammetry, to a filled volume model of the whole structure. The filled volume model, in a voxel format, can be useful for further analysis and also for the generation of a Finite Element Model (FEM) of the surveyed building. In this paper a new approach is presented with the aim to decrease operator intervention in the workflow and obtain a better description of the structure. In order to achieve this result a voxel model with variable resolution is produced. Different parameters are compared and different steps of the procedure are tested and validated in the case study of the North tower of the San Felice sul Panaro Fortress, a monumental historical building located in San Felice sul Panaro (Modena, Italy) that was hit by an earthquake in 2012.
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Bitelli, G., G. Castellazzi, A. M. D’Altri, S. De Miranda, A. Lambertini, and I. Selvaggi. "AUTOMATED VOXEL MODEL FROM POINT CLOUDS FOR STRUCTURAL ANALYSIS OF CULTURAL HERITAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 191–97. http://dx.doi.org/10.5194/isprsarchives-xli-b5-191-2016.

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In the context of cultural heritage, an accurate and comprehensive digital survey of a historical building is today essential in order to measure its geometry in detail for documentation or restoration purposes, for supporting special studies regarding materials and constructive characteristics, and finally for structural analysis. Some proven geomatic techniques, such as photogrammetry and terrestrial laser scanning, are increasingly used to survey buildings with different complexity and dimensions; one typical product is in form of point clouds. We developed a semi-automatic procedure to convert point clouds, acquired from laserscan or digital photogrammetry, to a filled volume model of the whole structure. The filled volume model, in a voxel format, can be useful for further analysis and also for the generation of a Finite Element Model (FEM) of the surveyed building. In this paper a new approach is presented with the aim to decrease operator intervention in the workflow and obtain a better description of the structure. In order to achieve this result a voxel model with variable resolution is produced. Different parameters are compared and different steps of the procedure are tested and validated in the case study of the North tower of the San Felice sul Panaro Fortress, a monumental historical building located in San Felice sul Panaro (Modena, Italy) that was hit by an earthquake in 2012.
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Baiocchi, Valerio, Raffaella Brigante, Silvio Del Pizzo, Francesca Giannone, Matteo Onori, Fabio Radicioni, Aurelio Stoppini, Grazia Tosi, Salvatore Troisi, and Marta Baumgartner. "Integrated Geomatic Techniques for Georeferencing and Reconstructing the Position of Underground Archaeological Sites: The Case Study of the Augustus Sundial (Rome)." Remote Sensing 12, no. 24 (December 11, 2020): 4064. http://dx.doi.org/10.3390/rs12244064.

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A large part of the archaeological remains still to be discovered and excavated are not in remote and depopulated areas of the earth but are often beneath urban centres that have buried them with centuries of debris and later constructions. Excavating in these contexts is much more complex than digging in rural or sparsely inhabited areas because of the constraints imposed by existing buildings and infrastructure. It should also be considered that within an urbanised area, any archaeological remains are concentrated in the subsoil of the historic centre, which is, therefore, often surmounted by buildings that are more recent than the remains but historical as well, and thus, of considerable value and vulnerability. For this reason, an archaeological excavation in an urban area must be preceded by a real feasibility study, where the potential risks for the structures above are minimised and accurately quantified. In many situations, as in the case under study, the discovery of a small segment of a structure is the only clue to reconstruct the development of the remaining part still to be excavated, which may stretch tens or hundreds of metres away from the measurable part. As a consequence, an error of a few centimetres in the survey of the excavated part can lead to errors of metres in estimating the positions of the far parts still to be excavated, and this, in many cases, as in the one under study, must absolutely be avoided. In practice, high-precision geomatic surveys, in support of the archaeological and historical interpretation of the observable structures, will help to establish the exact locations to possibly continue the excavations, helping the accurate planning of the excavation itself. Here, we have shown how the various techniques, compared to each other, have made it possible to reconstruct the location of a short stretch (less than 7 m) of the Emperor Augustus’ Sundial, the only currently visible evidence of a scientific instrument of imposing dimensions (tens of metres in length and height) that served to define some of the characteristics of the calendar that we still use today. The portion of the sundial currently observable, according to the most reliable hypotheses, is located approximately at one end of a structure and extends for several tens of metres. The accurate positioning of the observable parts in a geodetic reference system will enable to identify with certainty the possible areas in which excavation may continue and will also allow to accurately reconstruct the principle of operation of the sundial through an approach that could be defined as “reverse engineering” of the scientific instrument itself. The aim of this work is to study and thus define the combination and integration of existing geomatic techniques for this specific field of application.
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Rivas Casado, Monica, Tracy Irvine, Sarah Johnson, Marco Palma, and Paul Leinster. "The Use of Unmanned Aerial Vehicles to Estimate Direct Tangible Losses to Residential Properties from Flood Events: A Case Study of Cockermouth Following the Desmond Storm." Remote Sensing 10, no. 10 (September 26, 2018): 1548. http://dx.doi.org/10.3390/rs10101548.

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Damage caused by flood events is expected to increase in the coming decades driven by increased land use pressures and climate change impacts. The insurance sector needs accurate and efficient loss adjustment methodologies for flood events. These can include remote sensing approaches that enable the rapid estimation of (i) damage caused to property as well as (ii) the number of affected properties. Approaches based on traditional remote sensing methods have limitations associated with low-cloud cover presence, oblique viewing angles, and the resolution of the geomatic products obtained. Unmanned aerial vehicles (UAVs) are emerging as a potential tool for post-event assessment and provide a means of overcoming the limitations listed above. This paper presents a UAV-based loss-adjustment framework for the estimation of direct tangible losses to residential properties affected by flooding. For that purpose, features indicating damage to property were mapped from UAV imagery collected after the Desmond storm (5 and 6 December 2015) over Cockermouth (Cumbria, UK). Results showed that the proposed framework provided an accuracy of 84% in the detection of direct tangible losses compared with on-the-ground household-by-household assessment approaches. Results also demonstrated the importance of pluvial and, from eye witness reports, lateral flow flooding, with a total of 168 properties identified as flooded falling outside the fluvial flood extent. The direct tangible losses associated with these additional properties amounted to as high as £3.6 million. The damage-reducing benefits of resistance measures were also calculated and amounted to around £4 million. Differences in direct tangible losses estimated using the proposed UAV approach and the more classic loss-adjustment methods relying on the fluvial flood extent was around £1 million—the UAV approach providing the higher estimate. Overall, the study showed that the proposed UAV approach could make a significant contribution to improving the estimation of the costs associated with urban flooding, and responses to flooding events, at national and international levels.
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Cuca, B., and A. Agapiou. "IMPACT OF LAND USE CHANGE TO THE SOIL EROSION ESTIMATION FOR CULTURAL LANDSCAPES: CASE STUDY OF PAPHOS DISRICT IN CYPRUS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W1 (May 12, 2017): 25–29. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w1-25-2017.

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In 2006 UNESCO report has identified soil loss as one of the main threats of climate change with possible impact to natural and cultural heritage. The study illustrated in this paper shows the results from geomatic perspective, applying an interdisciplinary approach undertaken in order to identify major natural hazards affecting cultural landscapes and archaeological heritage in rural areas in Cyprus. In particular, Earth Observation (EO) and ground-based methods were identified and applied for mapping, monitoring and estimation of the possible soil loss caused by soil erosion. Special attention was given to the land use/land cover factor (C) and its impact on the overall estimation of the soil-loss. Cover factor represents the effect of soil-disturbing activities, plants, crop sequence and productivity level, soil cover and subsurface bio-mass on soil erosion. Urban areas have a definite role in retarding the recharge process, leading to increased runoff and soil loss in the broader area. On the other hand, natural vegetation plays a predominant role in reducing water erosion. The land use change was estimated based on the difference of the NDVI value between Landsat 5 TM and Sentinel-2 data for the period between 1980s’ until today. Cover factor was then estimated for both periods and significant land use changes were further examined in areas of significant cultural and natural landscape value. The results were then compared in order to study the impact of land use change on the soil erosion and hence on the soil loss rate in the selected areas.
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Pandey, M., V. Singh, and R. C. Vaishya. "Geomatics Approach for Assessment of respiratory disease Mapping." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 27, 2014): 205–11. http://dx.doi.org/10.5194/isprsarchives-xl-8-205-2014.

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Air quality is an important subject of relevance in the context of present times because air is the prime resource for sustenance of life especially human health position. Then with the aid of vast sums of data about ambient air quality is generated to know the character of air environment by utilizing technological advancements to know how well or bad the air is. This report supplies a reliable method in assessing the Air Quality Index (AQI) by using fuzzy logic. The fuzzy logic model is designed to predict Air Quality Index (AQI) that report monthly air qualities. With the aid of air quality index we can evaluate the condition of the environment of that area suitability regarding human health position. For appraisal of human health status in industrial area, utilizing information from health survey questionnaire for obtaining a respiratory risk map by applying IDW and Gettis Statistical Techniques. Gettis Statistical Techniques identifies different spatial clustering patterns like hot spots, high risk and cold spots over the entire work area with statistical significance.
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El-Zeiny, Ahmed M., Sameh B. El Kafrawy, and Mahmoud H. Ahmed. "Geomatics based approach for assessing Qaroun Lake pollution." Egyptian Journal of Remote Sensing and Space Science 22, no. 3 (December 2019): 279–96. http://dx.doi.org/10.1016/j.ejrs.2019.07.003.

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Ajvazi, Besim, Fisnik Loshi, and Béla Márkus. "From Surveying to Geomatics." Landscape & Environment 10, no. 3-4 (September 10, 2016): 153–60. http://dx.doi.org/10.21120/le/10/3-4/8.

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In the land surveying profession fast changes have been taking place in the last fifty years. Technological changes are generated by the Information and Communication Technologies; the analogue – digital trends; the automatic data acquisition methods replace manual ones; instead of two-dimensional base maps we use dynamic spatial databases more and more integrated into a global data infrastructure. However, these changes cause impacts also on scientific level. The traditional top-down approach substituted by bottom-up methodologies; in many cases the point-by-point measurement is changed by 3D laserscanning or Unmanned Aerial Systems, which produces huge amount of data, but it needs new algorithms for information extraction; instead of a simple data provision land surveyors support complex spatial decisions. The paper is dealing with some aspects of these changes. In the first chapter the authors would like to highlight the “data-information-knowledge” relations and the importance of changes in professional education. The second chapter gives an example of the benefits of a Global Spatial Data Infrastructure in spatial decision support. Finally we introduce a new concept (Building Information Modelling) in modelling the real world. However, until now BIM is used in building construction industry, it can can be a paradigm shift in geospatial information management in general.
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Serwa, Ahmed. "DEVELOPMENT OF SOFT COMPUTATIONAL SIMULATOR FOR OPTIMIZED DEEP ARTIFICIAL NEURAL NETWORKS FOR GEOMATICS APPLICATIONS: REMOTE SENSING CLASSIFICATION AS AN APPLICATION." Geodesy and cartography 48, no. 4 (November 29, 2022): 224–32. http://dx.doi.org/10.3846/gac.2022.15642.

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Artificial neural networks (ANN) obtain more importance after the innovation of deep learning (DL) approach. This research is oriented towards development of soft computational simulator for geomatics research using ANN supporting the deep approach. ANN seems to be a black box due to its sensitivity towards initialization, architecture, and behavior. This research gives a spotlight on the dull areas of ANN algorithm by developing a soft computational simulator for it. The applied examples are chosen to cover geomatics data. DANNDO (Deep Artificial Neural Networks Designer and Optimizer) software is developed to achieve the research objective. Multi-layer perceptron (MLP) architecture is applied in this simulator. Geomatics (remote sensing multi- spectral data) is selected to be a testing paradigm to insure the reliability of the developed simulator. The developed simulator proved the high performance of applying both shallow and deep ANN (DANN).
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Achilli, Vladimiro, Paolo Carrubba, Massimo Fabris, Andrea Menin, and Paolo Pavanello. "An archival geomatics approach in the study of a landslide." Applied Geomatics 7, no. 4 (January 24, 2015): 263–73. http://dx.doi.org/10.1007/s12518-015-0153-4.

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Rijcke, Izaak de. "Education for Geomatics Professionals: An Approach to Closing the Knowledge Gap." GEOMATICA 66, no. 2 (June 2012): 141–44. http://dx.doi.org/10.5623/cig2012-026.

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46

Van Heerden, Izél, Annabel Fossey, and Gerrie J. Booysen. "3D digital geometry designs for Poland’s syndrome using Magics and Geomagic® Freeform®." Rapid Prototyping Journal 24, no. 1 (January 2, 2018): 229–36. http://dx.doi.org/10.1108/rpj-05-2016-0085.

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Purpose Poland’s syndrome patients often seek medical interventions to improve their aesthetic appearances. Design and manufacturing technologies make it possible to produce custom-made implants for such medical conditions. The purpose of this study was to compare the 3D digital geometries that were designed using Magics and Geomagic® Freeform® for two anonymous case studies of Poland’s syndrome patients. Design/methodology/approach Computed tomography data were acquired and processed in Mimics® to isolate the pectoralis muscles in STL file format. STL files were imported into Magics and Geomagic® Freeform® to design 3D digital geometries. Thereafter, comparative analyses were performed of the respective 3D digital geometries. Findings The angle between the vertical and oblique planes for both sides of the thorax was 6.5° for the female and 14° for the male. The surface areas and volumes of the geometries for the female were smaller than the male. Deviation analyses between the healthy side and reconstructed side of a thorax showed that 73 per cent of the test points for Magics and 78 per cent for Geomagic® Freeform® fell in the nominated tolerance region of >−5 and <+5 mm for the female. For the male, it was 83 per cent for Magics and 88 per cent for Geomagic® Freeform®. Practical implications Geomagic® Freeform® provides a more versatile design environment; however, the STL editor Magics may be an option to design 3D geometries for less intricate and less contoured implants. Originality/value This was a first attempt to compare the 3D geometries for Poland’s syndrome designed with an STL editor to those designed with a computer-aided design program.
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Barrile, Vincenzo, Silvia Simonetti, Rocco Citroni, Antonino Fotia, and Giuliana Bilotta. "Experimenting Agriculture 4.0 with Sensors: A Data Fusion Approach between Remote Sensing, UAVs and Self-Driving Tractors." Sensors 22, no. 20 (October 18, 2022): 7910. http://dx.doi.org/10.3390/s22207910.

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Geomatics is important for agriculture 4.0; in fact, it uses different types of data (remote sensing from satellites, Unmanned Aerial Vehicles-UAVs, GNSS, photogrammetry, laser scanners and other types of data) and therefore it uses data fusion techniques depending on the different applications to be carried out. This work aims to present on a study area concerning the integration of data acquired (using data fusion techniques) from remote sensing techniques, UAVs, autonomous driving machines and data fusion, all reprocessed and visualised in terms of results obtained through GIS (Geographic Information System). In this work we emphasize the importance of the integration of different methodologies and data fusion techniques, managing data of a different nature acquired with different methodologies to optimise vineyard cultivation and production. In particular, in this note we applied (focusing on a vineyard) geomatics-type methodologies developed in other works and integrated here to be used and optimised in order to make a contribution to agriculture 4.0. More specifically, we used the NDVI (Normalized Difference Vegetation Index) applied to multispectral satellite images and drone images (suitably combined) to identify the vigour of the plants. We then used an autonomous guided vehicle (equipped with sensors and monitoring systems) which, by estimating the optimal path, allows us to optimise fertilisation, irrigation, etc., by data fusion techniques using various types of sensors. Everything is visualised on a GIS to improve the management of the field according to its potential, also using historical data on the environmental, climatic and socioeconomic characteristics of the area. For this purpose, experiments of different types of Geomatics carried out individually on other application cases have been integrated into this work and are coordinated and integrated here in order to provide research/application cues for Agriculture 4.0.
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Gagnon, Pierre, and David J. Coleman. "Geomatics an integrated, systemic approach to meet the needs for spatial information." CISM journal 44, no. 4 (January 1990): 377–82. http://dx.doi.org/10.1139/geomat-1990-0033.

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Bitelli, G., C. Balletti, R. Brumana, L. Barazzetti, M. G. D’Urso, F. Rinaudo, and G. Tucci. "METRIC DOCUMENTATION OF CULTURAL HERITAGE: RESEARCH DIRECTIONS FROM THE ITALIAN GAMHER PROJECT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (August 18, 2017): 83–90. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-83-2017.

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GAMHer is a collaborative project that aims at exploiting and validating Geomatics algorithms, methodologies and procedures in the framework of new European regulations, which require a more extensive and productive use of digital information, as requested by the Digital Agenda for Europe as one of the seven pillars of the Europe 2020 Strategy. To this aim, GAMHer focuses on the need of a certified accuracy for surveying and monitoring projects with photogrammetry and laser scanning technologies, especially when used in a multiscale approach for landscape and built heritage documentation, conservation, and management.<br><br> The approach used follows a multi-LoD (level of detail) transition that exploits GIS systems at the landscape scale, BIM technology and “point cloud based” 3d modelling for the scale of the building, and an innovative BIM/GIS integrated approach to foster innovation, promote users’ collaboration and encourage communication between users. The outcomes of GAMHer are not intended to be used only by a community of Geomatics specialists, but also by a heterogeneous user community that exploit images and laser scans in their professional activities.
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Putrasakti, Sigit. "OPTIMALISASI MANAGEMENT BATTERY DRONE UNTUK MENINGKATKAN EFFISIENSI WAKTU TERBANG DAN PRODUKTIFITAS LUASAN IN-PIT MAPPING MENGGUNAKAN PENDEKATAN GEOMATIKA DRONE DJI PHANTOM 4 RTK DALAM KONSESI PT ARUTMIN INDONESIA." Prosiding Temu Profesi Tahunan PERHAPI 1, no. 1 (March 29, 2020): 201–10. http://dx.doi.org/10.36986/ptptp.v1i1.63.

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ABSTRAK Era industri 4.0 saat ini sedang berkembang dengan pesat, hampir semua bidang industri memerlukan dan tersentuh oleh DNA utama dari era industri 4.0, yaitu automasi proses yang lebih cepat. Demikian juga dengan industri pertambangan. Pengelolaan industri pertambangan khususnya tambang batubara juga tidak luput dari praktek-praktek automasi cerdas khas industry 4.0. Salah satu terapan yang dilakukan PT Arutmin Indonesia adalah penggunaan Drone RTK (DJI Phantom 4 RTK) dalam proses in-pit mapping. Output yang akan diharapkan dari in-pit mapping menggunkan drone ini antara lain orthophoto dan kontur topografi yang bisa dimanfaatkan untuk analisis atau pekerjaan selanjutnya. Akan tetapi kendala yang dihadapi pada saat melakukan in-pit mapping menggunakan drone ini adalah keterbatasan kemampuan battery sehingga waktu terbang dan luasan yang dihasilkan dalam pemanfaatan kapasitas battery drone perlu direncanakan dengan baik. Maka diperlukan beberapa usaha yang mampu mengoptimalkan penggunaan drone dalam in-pit mapping. Beberapa titik kritis yang dapat dioptimalkan kaitannya dengan management battery drone, antaranya:Set ketinggian terbangKecepatan terbangOverlaping fotoKetiga praktek optimalisasi penggunaan drone tersebut mampu memaksimalkan penggunaan drone agar lebih efisiensi yaitu lama waktu terbang dan produktifitas luasan area tercapture yang meningkat, maupun memberikan rasa nyaman pilot drone dari kekhawatiran drone terjatuh. Optimalisasi ini dilakukan tentu dengan tidak meninggalkan kualitas hasil pekerjaan in-pit mapping menggunakan pendekatan geomatika drone DJI Phantom 4 RTK. Optimalisasi hal-hal tersebut di atas juga dapat dilakukan secara cepat dan praktis di lapangan, sehingga pilot drone yang sudah mengetahui typical area terbang tentu diharapkan bisa lebih baik dalam melakukan persiapan rencana terbang hingga memberikan hasil yang benar-benar maksimal. Kata kunci: in-pit mapping, geomatika, optimalisasi drone ABSTRACT The 4.0 industrial era is currently developing rapidly, almost all fields of industry require and are touched by the main DNA of the 4.0 industrial era, which is faster automation process. Likewise with the mining industry. The management of the mining industry, especially coal mines, is also not immune from 4.0 industry-specific intelligent automation practices. One of the applications made by PT Arutmin Indonesia is the use of RTK Drones (DJI Phantom 4 RTK) in the in-pit mapping process. The output expected from in-pit mapping using this drone includes orthophoto and topographic contours which can be used for further analysis or work. However, the obstacle faced when conducting in-pit mapping using this drone is the limited ability of the battery so that the flying time and the area generated in the utilization of the battery drone capacity need to be planned properly. Then some efforts are needed to optimize the use of drones in in-pit mapping. Some critical points that can be optimized in relation to battery drone management including: 1. Fly altitude set 2. Flying speed 3. Foto overlapping The three practice points of optimizing the use of drones are able to maximize the use of drones to be more efficient, namely the length of time to fly and the increased productivity of the captured area, as well as providing a sense of comfort for drone pilots from fears of falling drones. This optimization is done by certainly not leaving the quality of the results of the in-pit mapping work using the DJI Phantom 4 RTK drone geomatics approach. Optimization of the things mentioned above can also be done quickly and practically in the field, so that drone pilots who already knew the typical flying area are certainly expected to be better in making flight plan preparations to provide truly maximum results. Keywords: in-pit mapping, geomatics, drone optimization
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