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检索条件"丛书名=Lecture Notes in Geoinformation and Cartography"

共 1042 条记录，以下是61-70 订阅

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Immersive Virtual Reality to Verify the As-built State of Electric Line Networks in Buildings

Immersive Virtual Reality to Verify the As-built State of El...

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18th International 3D GeoInfo Conference

作者： Knechtel, Julius Li, Weilian Orgeig, Yannick Haunert, Jan-Henrik Dehbi, Youness Univ Bonn Inst Geodesy & Geoinformat Geoinformat Grp Bonn Germany HafenCity Univ Hamburg Computat Methods Lab Hamburg Germany

ISBN: (纸本)9783031437014;9783031436994;9783031436987

Immersive virtual reality (IVR) allows viewing abstract concepts and entities in a three dimensional (3D) visuospatial environment. In this paper, we innovatively introduced IVR technology into the verification of the as-built state of electric line networks in buildings. On the one hand, using a reasoning-based estimation of electric networks as a starting point, we demonstrated the usability of IVR technology for verifying installed utilities in buildings. On the other hand, we established the communication between the Reasoner and the practitioner and also simulated the verification action of electric line networks in buildings in the real world. The principal findings of this work pave the way for a subsequent and systematic evaluation of the different reasoning strategies for estimating and generating the as-built state of building utilities.

关键词： Immersive virtual reality Electric line network As-built BIM Reasoning GIS

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Estimating Land Cover Changes Using Multi-temporal Spectral Index Raster Stacks in the Chinampas of Xochimilco 3rd

Estimating Land Cover Changes Using Multi-temporal Spectral ...

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3rd International Conference on Geospatial Information Sciences (iGISc)

作者： Waluyo, Iskar Jasmani Univ Southern Calif Los Angeles CA 90007 USA

ISBN: (纸本)9783031614422;9783031614408;9783031614392

Densely populated premodern human settlements relied on a diverse range of ingenious agricultural techniques. Although most of these techniques have been abandoned and forgotten, chinampas in Mexico City have somehow prevailed. Chinampas are a unique premodern technique that is based on creating artificial islets for agricultural activities. Although debatable, premodern agricultural practices such as these have recently gained interest because of the insights they might hold for future food production practices. Some consider that these last active remnants of premodern society could be considered sustainable because of the manner they have managed to combine cultural and environmental conservation with continuous agricultural productivity despite rampart urbanization. Better understanding and continuous monitoring of regions such as these are important not only for cultural and environmental preservation but as potential blueprints for future food systems design. Assuming maintaining vegetation and moisture levels as well as controlling urban sprawl are key elements for chinampa conservation, this paper suggests using open access Sentinel 2A images and R to create multi-temporal spectral index raster stacks can be used to assess changes between years, seasons in months in the communal lands known as Ejidos of Xochimilco and San Gregorio Atlapulco. If so, low cost monitoring methods such as these can be used in local governments that have limited funds for specialized software, hardware and human resources.

关键词： First keyword Second keyword Third keyword

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An Alternative Raw Data Acquisition Approach for Reconstruction of LOD3 Models

An Alternative Raw Data Acquisition Approach for Reconstruct...

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18th International 3D GeoInfo Conference

作者： Frank, Florian Hoegner, Ludwig Buckel, Peter Dalm, Kris Inst Continuing Educ Knowledge & Technol Transfer D-88045 Friedrichshafen Germany Univ Appl Sci Munich Dept Geoinformat D-80333 Munich Germany Baden Wuerttemberg Cooperat State Univ Ravensburg D-88045 Friedrichshafen Germany Univ Appl Sci Ostbayer Tech Hsch Amberg Weiden D-92637 Weiden Germany

ISBN: (纸本)9783031437014;9783031436994;9783031436987

Visual, autonomous, object-based outdoor vehicle localization premise detailed object-based maps. Semantic-rich and qualitative Level of detail 3 (LOD3) building models fulfill these requirements, but only a few real-world city models are available. These models are mainly reconstructed by LiDAR, have a cost benefit, scalability and reconstruction-complexity problem. Challenging the issues, we propose an alternative data acquisition approach for LOD3 model reconstruction primarily based on images. Thus, we created a moveable handcart mounted height-adjustable, high-precision gimbal. The gimbal enables 360 degrees poses of camera, LiDAR rangefinder, inertial measuring unit. Additionally, GNSS RTK is used for absolute positioning. Our system is capable to record data and ground truth data for system validation in one step. The paper is about the system design, data processing and validation of the proposed reconstruction approach. Resulting real-world reconstruction accuracies are in the millimeter to low centimeter range. So, our system is compared in discussion with competing systems.

关键词： SfM Camera Raw data acquisition LOD3 reconstruction MVS LiDAR MLS GNSS RTK

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Enriched Semantic 3D Point Clouds: An Alternative to 3D City Models for Digital Twin for Cities?

Enriched Semantic 3D Point Clouds: An Alternative to 3D City...

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18th International 3D GeoInfo Conference

作者： Jeddoub, Imane Ballouch, Zouhair Hajji, Rafika Billen, Roland Univ Liege Geomat Unit UR SPHERES B-4000 Liege Belgium Hassan II Inst Agron & Vet Med Coll Geomat Sci & Surveying Engn Rabat 10101 Morocco

ISBN: (纸本)9783031437014;9783031436994;9783031436987

Digital Twins (DTs) for cities represent a new trend for city planning and management, enhancing three-dimensional modeling and simulation of cities. While progress has been made in this research field, the current scientific literature mainly focuses on the use of semantically segmented point clouds to develop 3D city models for DTs. However, this study discusses a new reflection that argues on directly integrating the results of semantic segmentation to create the skeleton of the DTs and uses enriched semantically segmented point clouds to perform targeted simulations without generating 3D models. The paper discusses to what extent enriched semantic 3D point clouds can replace semantic 3D city models in the DTs scope. Ultimately, this research aims to reduce the cost and complexity of 3D modeling to fit some DTs requirements and address its specific needs. New perspectives are set to tackle the challenges of using semantic 3D point clouds to implement DTs for cities.

关键词： Digital twin Semantic point cloud Semantic segmentation 3D city model Urban simulations

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RGB-D Semantic Segmentation for Indoor Modeling Using Deep Learning: A Review

RGB-D Semantic Segmentation for Indoor Modeling Using Deep L...

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18th International 3D GeoInfo Conference

作者： Rached, Ishraq Hajji, Rafika Landes, Tania Inst Agron & Vet Med Coll Geomat Sci & Surveying Engn Rabat 6202 Morocco Natl Inst Appl Sci INSA Strasbourg Photogrammetry & Geomat Grp UMR 7357 ICube Lab 24 Blvd Victoire F-67084 Strasbourg France

ISBN: (纸本)9783031437014;9783031436994;9783031436987

With the availability and low cost of RGB-D sensors, indoor 3D modeling from RGB-D data has gained more interest in the research community. However, this topic is still challenging because of the complexity of indoor environments and the poor quality of RGB-D data. To deal with this problem, a focus on semantic segmentation as a first and crucial step in 3D modeling process is primordial. The main purpose of this paper is to offer a review of recent researches carried out on RGB-D semantic segmentation. Especially approaches based on deep neural network, their datasets, their metrics, and their challenges and limits are presented. Based on this state of the art, guidelines to improve research in this field are proposed.

关键词： Indoor modeling RGB-D Semantic segmentation Deep learning

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Recommendation for Vegetation Information in Semantic 3D City Models Used in Urban Planning Applications

Recommendation for Vegetation Information in Semantic 3D Cit...

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18th International 3D GeoInfo Conference

作者： Pantazatou, Karolina Kanters, Jouri Mattisson, Kristoffer Olsson, Per-Ola Harrie, Lars Lund Univ Dept Phys Geog & Ecosyst Sci Lund Sweden Lund Univ Div Energy & Bldg Design Dept Bldg & Environm Technol Lund Sweden Lund Univ Div Occupat & Environm Med Lund Sweden

ISBN: (纸本)9783031437014;9783031436994;9783031436987

Cities are growing in size and becoming increasingly dense. This situation calls for strategic planning of green infrastructure in the urban planning process. Safeguarding the green infrastructure is important for maintaining urban ecosystem services and increasing the well-being of urban populations. To facilitate appropriate urban planning that enables cities to grow sustainably, it is important that the geospatial community provides adequate vegetation information. In this study, we investigate the need for vegetation information in urban planning applications such as modelling ecosystem services and noise, as well as performing case studies of using vegetation information in daylight and solar energy simulations. Based on these investigations, we formulate a recommendation of how vegetation information should be included in 3D city models. The study is focused on the development of a Swedish national profile of CityGML, but many of the conclusions are general and universally applicable. In short, the recommendations are that: (1) the vegetation theme should follow CityGML 3.0 with some additional attributes (e.g., popular name of tree species) added as an application domain extension, (2) no LOD division is required for the vegetation information stored (but rather derived if necessary), (3) the vegetation theme should only contain 3D vegetation objects while the 2D vegetation is part of the land cover theme, and (4) the building specification (and city furniture specification) must include the possibility to store information on whether building roofs or facades (and walls) are covered with vegetation.

关键词： 3D city models Vegetation Land cover Solar energy simulations Daylight simulations Sustainable urban planning

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Estimation of Land Surface Temperature Using Satellite Remote Sensing, a Case Study in the Cities from El Salvador: Berlin, Alegria, and Santiago de Maria 3rd

Estimation of Land Surface Temperature Using Satellite Remot...

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3rd International Conference on Geospatial Information Sciences (iGISc)

作者： Flores-Cortez, Omar Otoniel Pocasangre, Carlos Arevalo, Fernando Hernandez, Samuel Univ Tecnol El Salvador San Salvador El Salvador Univ El Salvador San Salvador El Salvador Ruhr Univ Bochum Bochum Germany

ISBN: (纸本)9783031614422;9783031614408;9783031614392

Satellite remote sensing has gained popularity due to new sensors, which, combined with new open and inexpensive technologies, can be used as an alternative to estimating land surface temperature (LST). LST estimation is essential for determining biophysical parameters and processes such as surface energy fluxes, particularly evaporation and crop production. Some open-satellite observation systems have sensors that allow thermal infrared wavelengths to be recorded in digital layers of images around the Earth. In developing countries such as El Salvador, low-cost LST research is required to provide indicators to improve decision-making regarding land use. El Salvador has a poor climate monitoring capacity on the ground with only 27 traditional weather stations. We propose using a methodology for LST estimation based on low-cost tools. The proposed methodology allows the processing of satellite digital images to estimate the LST using QGIS software tools and images taken by Landsat 8 satellite sensors. We conducted a study in El Salvador's rural areas, particularly in the Berlin, Alegria, and Santiago de Maria cities. The results obtained have been satisfactory, which can drive further studies using this methodology for temperature monitoring on a larger scale.

关键词： Surface properties

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Identification of Hazard Zones Due Mass Movements in the Sierra Norte de Puebla, Mexico 3rd

Identification of Hazard Zones Due Mass Movements in the Sie...

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3rd International Conference on Geospatial Information Sciences (iGISc)

作者： Vera-Cruz, Uriel Univ Nacl Autonoma Mexico Fac Ingn Ciudad Univ Mexico City DF Mexico

ISBN: (纸本)9783031614422;9783031614408;9783031614392

In 2019, the National Center for Disaster Prevention (CENAPRED) presented an updated national map of landslide susceptibility, an important work to conform the National Atlas of Hazards of Mexico. The mentioned map uses a methodology based on a weighting system of geomechanics, topographic, and land-use factors that simplify the susceptibility calculation. The present work addresses CENAPRED's methodology for a case at minor scale with a series of proposals to change (1) the form we obtain and use the data, (2) the process in which the relative susceptibility is calculated, and (3) the methodology to choose a grid during the division of the control territory and the mapping of the susceptibility, changes that allowed the creation a map with better resolution of the susceptibility zones and that identifies the level of risk in every community of the study area.

关键词： Landslides Susceptibility Sierra Nortede Puebla Geohazard Geographic information systems Relative susceptibility

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Towards Improved Rainfall Forecast Within the Ziz Basin Area: A Focused Exploration of Machine Learning Application 4th

Towards Improved Rainfall Forecast Within the Ziz Basin Area...

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4th International Conference on GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

作者： Bouziane, Sara Aghoutane, Badraddine Moumen, Aniss Essahlaoui, Ali Hilali, Mohamed El Ouali, Anas Moulay Ismail Univ Sci Fac Meknes Informat & Applicat Lab Meknes Morocco Ibn Tofail Univ Natl Sch Appl Sci Kenitra Morocco Moulay Ismail Univ Fac Sci Lab Geoengn & Environm Meknes Morocco Sidi Mohamed Ben Abdellah Univ Fac Sci & Technol Dept Environm Funct Ecol & Environm Engn Lab Fes Morocco

ISBN: (纸本)9783031630408;9783031630385;9783031630378

Communities and industries rely heavily on accurate precipitation forecasts, which are essential for planning and decision-making across various sectors. Conventional methodologies for predicting weather entail a comprehensive understanding of physical phenomena, historical climate patterns, and the application of statistical models. Nevertheless, the intricate and nonlinear rainfall nature poses significant challenges to achieving precise predictions. In recent years, Machine Learning (ML) techniques have appeared as advantageous methods for enhancing the accuracy of rainfall forecasts. This article offers an extensive and comparative examination of classic techniques and evolved ML models relevant to precipitation estimation. By identifying the strengths and limitations of each approach, the study sheds light on the progress made in rainfall prediction using these innovative techniques. In addition, the study emphasizes the importance of pre-processing in improving predictive capabilities, exploring careful steps such as data cleaning, handling missing values, and scaling. Leveraging a comprehensive dataset collected from the Ziz Basin region, incorporating historical weather data spanning numerous climatic variables (precipitation, humidity, wind, temperature, and evaporation), our objective is to conduct a rigorous comparative analysis to assess the effectiveness of various ML models in enhancing rainfall estimation accuracy within this specific geographic area.

关键词： Prediction models

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Comparison of Cloud-to-Cloud Distance Calculation Methods - Is the Most Complex Always the Most Suitable?

Comparison of Cloud-to-Cloud Distance Calculation Methods - ...

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18th International 3D GeoInfo Conference

作者： Diaz, Vitali van Oosterom, Peter Meijers, Martijn Verbree, Edward Ahmed, Nauman van Lankveld, Thijs Delft Univ Technol Fac Architecture & Built Environm GIS Technol NL-2628 BL Delft Netherlands Netherlands eSci Ctr NL-1098 XH Amsterdam Netherlands

ISBN: (纸本)9783031437014;9783031436994;9783031436987

Cloud-to-cloud (C2C) distance calculations are frequently performed as an initial stage in change detection and spatiotemporal analysis with point clouds. There are various methods for calculating C2C distance, also called inter-point distance, which refers to the distance between two corresponding point clouds captured at different epochs. These methods can be classified from simple to complex, with more steps and calculations required for the latter. Generally, it is assumed that a more complex method will result in a more precise calculation of inter-point distance, but this assumption is rarely evaluated. This paper compares eight commonly used methods for calculating the inter-point distance. The results indicate that the accuracy of distance calculations depends on the chosen method and a characteristic related to the point density, the intra-point distance, which refers to the distance between points within the same point cloud. The results are helpful for applications that analyze spatiotemporal point clouds for change detection. The findings will be helpful in future applications, including analyzing spatiotemporal point clouds for change detection.

关键词： Cloud-to-cloud distance calculation Change detection Spatiotemporal analysis

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