100+ datasets found
  1. g

    Road Network Builder's Department of Civil Engineering

    • gimi9.com
    • data.europa.eu
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    Road Network Builder's Department of Civil Engineering [Dataset]. https://gimi9.com/dataset/eu_284cdc8f06073a3bc6bef6a53e49e22616430e4c/
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    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    The road network graph of the Department of Civil Engineering is a line theme that maps streets of the state capital Munich through a network. Only roads or road sections that are dedicated to the Bavarian Roads and Routes Act (BayStrWG) and the Federal Highways Act (FStrG) and are in the construction load of the state capital of Munich and therefore within the competence of the Civil Engineering Department are taken into account in this map presentation. The label consists of the following components: Road Keys   Section Number  Length Example: 5,666 ▪ Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Definition: Road keys: Every street in the state capital Munich receives a unique number. The municipal unit is responsible for assigning the numbers. Section number: Unique numbering of the road sections of a road. The section numbers are assigned by the Civil Engineering Department. The section numbering is usually done house number up and in hundreds of steps. Deviations are possible due to the system. Length: This is the length of the line shown and not the actual length of the road section.

  2. d

    National Science and Technology Commission List of Civil Engineering Special...

    • data.gov.tw
    csv
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    National Science and Technology Council, National Science and Technology Commission List of Civil Engineering Special Project Grants [Dataset]. https://data.gov.tw/en/datasets/41106
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    csvAvailable download formats
    Dataset authored and provided by
    National Science and Technology Council
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    National Science and Technology Commission Civil Engineering Branch Special Project Grant List.

  3. F

    Total Revenue for Surveying and Mapping Services, All Establishments,...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
    + more versions
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    (2024). Total Revenue for Surveying and Mapping Services, All Establishments, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/REVEF5413ZALLEST
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    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Revenue for Surveying and Mapping Services, All Establishments, Employer Firms (REVEF5413ZALLEST) from 2010 to 2022 about civil engineering, engineering, employer firms, revenue, establishments, services, and USA.

  4. A Geospatial and Binomial Logistic Regression Model to Prioritize Sampling...

    • figshare.com
    zip
    Updated Aug 19, 2021
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    Sweta Ojha (2021). A Geospatial and Binomial Logistic Regression Model to Prioritize Sampling for Per- and Polyfluorinated Alkyl Substances (PFAS) in Public Water Systems [Dataset]. http://doi.org/10.6084/m9.figshare.15260427.v1
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    zipAvailable download formats
    Dataset updated
    Aug 19, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Sweta Ojha
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    It includes data that were used in the manuscript. It also include layers that were created in online ArcGIS pro in manuscript .

  5. F

    Employed full time: Wage and salary workers: Surveying and mapping...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Surveying and mapping technicians occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254693900A
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    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Surveying and mapping technicians occupations: 16 years and over: Women (LEU0254693900A) from 2000 to 2024 about technicians, civil engineering, engineering, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  6. e

    Introduction to Conformal Mapping

    • paper.erudition.co.in
    html
    Updated Jun 30, 2025
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    Einetic (2025). Introduction to Conformal Mapping [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/4/mathematics-3
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    htmlAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Introduction to Conformal Mapping of M402 - Mathematics 3, 4th Semester , Civil Engineering

  7. Global export data of Civil Engineering

    • volza.com
    csv
    Updated Jun 24, 2025
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    Volza FZ LLC (2025). Global export data of Civil Engineering [Dataset]. https://www.volza.com/p/civil-engineering/export/export-from-colombia/
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    csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    1892 Global export shipment records of Civil Engineering with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  8. GISF2E: ArcGIS, QGIS, and python tools and Tutorial

    • figshare.com
    pdf
    Updated Jun 2, 2023
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    Urban Road Networks (2023). GISF2E: ArcGIS, QGIS, and python tools and Tutorial [Dataset]. http://doi.org/10.6084/m9.figshare.2065320.v3
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Urban Road Networks
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ArcGIS tool and tutorial to convert the shapefiles into network format. The latest version of the tool is available at http://csun.uic.edu/codes/GISF2E.htmlUpdate: we now have added QGIS and python tools. To download them and learn more, visit http://csun.uic.edu/codes/GISF2E.htmlPlease cite: Karduni,A., Kermanshah, A., and Derrible, S., 2016, "A protocol to convert spatial polyline data to network formats and applications to world urban road networks", Scientific Data, 3:160046, Available at http://www.nature.com/articles/sdata201646

  9. A

    Aerial Mapping System Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Apr 25, 2025
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    Pro Market Reports (2025). Aerial Mapping System Report [Dataset]. https://www.promarketreports.com/reports/aerial-mapping-system-149023
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Aerial Mapping System market is experiencing robust growth, driven by increasing demand across various sectors. Technological advancements in sensor technology, particularly in LiDAR and hyperspectral imaging, are fueling higher resolution data acquisition and improved analytical capabilities. This, combined with the decreasing cost of drone technology and the rise of cloud-based data processing platforms, is making aerial mapping more accessible and cost-effective for a wider range of applications. The market is segmented by system type (Vertical Aerial Photogrammetry System, Lidar Mapping System, Spectral Remote Sensing Mapping System) and application (Civil, Military). While precise market size figures for 2025 are unavailable, based on industry reports indicating substantial growth and considering a plausible CAGR of 15% from a reasonably estimated 2019 market size of $3 Billion, the market value in 2025 is projected to be approximately $5 Billion. This growth trajectory is expected to continue, with the market projected to reach approximately $11 Billion by 2033, driven by consistent technological innovation and expanding application across diverse sectors including precision agriculture, infrastructure monitoring, urban planning, and environmental management. The market’s growth, however, is subject to certain restraints. These include the high initial investment costs associated with advanced aerial mapping systems, regulatory hurdles regarding airspace access and data privacy, and the need for skilled professionals to operate and interpret the complex datasets generated. Nevertheless, the substantial benefits offered by aerial mapping in terms of improved efficiency, accuracy, and cost-effectiveness across multiple industries are expected to outweigh these challenges, ensuring continued market expansion. Key players like TOPCOM, Teledyne Geospatial, Riegl, and others are actively shaping this landscape through continuous product innovation and strategic partnerships, further driving market growth and competition. The North American and European markets currently hold significant market share, but the Asia-Pacific region is expected to exhibit the highest growth rate in the coming years due to rapid infrastructure development and increasing adoption of advanced technologies. This report provides a detailed analysis of the global aerial mapping system market, projected to reach a valuation exceeding $15 billion by 2030. It offers invaluable insights into market dynamics, key players, and future growth prospects, utilizing data-driven analysis and industry expert projections. This report is essential for businesses seeking to understand and navigate the complexities of this rapidly evolving sector. Keywords: Aerial Mapping, Drone Mapping, Lidar, Photogrammetry, Remote Sensing, GIS, Geospatial, Surveying, Mapping Technology, UAV Mapping, Orthophotography, 3D Modeling.

  10. a

    Community Context Web Map

    • community-driven-conservation-np-valenciaccet.hub.arcgis.com
    Updated Dec 1, 2024
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    Valencia College Construction & Civil Engineering Tech (2024). Community Context Web Map [Dataset]. https://community-driven-conservation-np-valenciaccet.hub.arcgis.com/datasets/community-context-web-map
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    Dataset updated
    Dec 1, 2024
    Dataset authored and provided by
    Valencia College Construction & Civil Engineering Tech
    Area covered
    Description

    The map generated here, as well as others created throughout this tutorial, can be opened in ArcGIS Field Maps, a mobile app which allows users to access their organization’s maps without internet access. This means you can view maps in the field where there is little to no internet connectivity, including navigation to key data points within the map

  11. F

    Expenses for Surveying and Mapping Services, Establishments Subject To...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
    + more versions
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    (2024). Expenses for Surveying and Mapping Services, Establishments Subject To Federal Income Tax, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/SAMSEESTFIT35413Z
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    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Expenses for Surveying and Mapping Services, Establishments Subject To Federal Income Tax, Employer Firms (SAMSEESTFIT35413Z) from 2012 to 2022 about civil engineering, engineering, employer firms, establishments, tax, expenditures, federal, services, income, and USA.

  12. f

    Video and ground truth bathymetry data from Duck

    • figshare.com
    bin
    Updated Jun 1, 2023
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    Matthijs Gawehn (2023). Video and ground truth bathymetry data from Duck [Dataset]. http://doi.org/10.4121/17012204.v1
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    binAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    4TU.ResearchData
    Authors
    Matthijs Gawehn
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    Video and bathymetry ground truth data from Duck (North Carolina,USA)All data are provided with consent from the original owners.Data and affiliations are as follows:Data- "Video_Duck.mat"- "GroundTruth_Duck.mat"Affiliation(s)- U.S. Army Engineer Research and Development Center’s Field Research Facility- Coastal Imaging Lab, Oregon State University

  13. Geological Structure

    • data-esrihk.opendata.arcgis.com
    Updated Jun 6, 2016
    + more versions
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    Esri China (Hong Kong) Ltd. (2016). Geological Structure [Dataset]. https://data-esrihk.opendata.arcgis.com/maps/esrihk::geological-structure
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    Dataset updated
    Jun 6, 2016
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the simplified geological map of Hong Kong offered by the Geotechnical Engineering Office (GEO) of Civil Engineering and Development Department (CEDD), HKSAR Government. The web map depicts the simplified solid and superficial geology of the territory. It also provides information on major lithological units and faults of Hong Kong. This on-line simplified geological map was prepared for the purpose of promoting geoscience education, and popularising the geology of Hong Kong.

  14. C

    Fine mapping street Hamburg

    • ckan.mobidatalab.eu
    gml, html, oaf, wfs +1
    Updated Aug 11, 2023
    + more versions
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    HMDKLGV (2023). Fine mapping street Hamburg [Dataset]. https://ckan.mobidatalab.eu/dataset/feinkartierung-strasse-hamburgdd613
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    html(4658523), oaf, gml(82727967), wms(25422), gml(186192982), gml(113324555), gml(78434802), html(110892), wfs(31701), html(10358914)Available download formats
    Dataset updated
    Aug 11, 2023
    Dataset provided by
    HMDKLGV
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Hamburg
    Description

    The data record contains information on the use and surface material of the individual objects in the street space of the district and main roads. As a rule, all objects in the area of ​​the civil engineering assets of the FHH are included in the data set. Areas in the area of ​​responsibility of Autobahn GmbH and the port are not included. Areas that clearly belong to urban street space, but for various reasons are currently not legally assigned to civil engineering assets, are also included and are marked with the attribute "third-party property". Attributes included: district number, district, district number, district, street name, street type, category, use number, use, content number, content (surface material), level number, level (regular location at street level or above or below), third-party property, source, comment, area (in m^2), object ID and status of acquisition. The fine mapping of roads was first recorded on the basis of aerial photo digitization in the individual districts between 2013 and 2021. Since 2022, the data has been continuously maintained using planning documents, aerial and vehicle inspection images by the state office for geoinformation and surveying on behalf of the authority for transport and mobility transition. The topicality of the respective object can be found in the attributes.

  15. Data from: Methodology for creating national engineering geological maps of...

    • geolsoc.figshare.com
    pdf
    Updated May 30, 2023
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    M. R. Dobbs; M. G. Culshaw; K. J. Northmore; H. J. Reeves; D. C. Entwisle (2023). Methodology for creating national engineering geological maps of the UK [Dataset]. http://doi.org/10.6084/m9.figshare.3453065.v1
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Geological Society of Londonhttp://www.geolsoc.org.uk/
    Authors
    M. R. Dobbs; M. G. Culshaw; K. J. Northmore; H. J. Reeves; D. C. Entwisle
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    In the United Kingdom (UK) geological maps traditionally have been attributed with lithostratigraphical map units. However, without significant supplementary information, these maps can be only of limited use for planning and engineering works. During the middle part of the 20th century, as development of the science of engineering geology began to accelerate, engineering geological maps started to appear in various forms and at various scales to meet the challenge of making geological maps more suited to land-use planning, engineering design, building, construction and maintenance. Today, engineering geological maps are routinely used at various scales as part of the engineering planning, design and construction process. However, until recently there had been no comprehensive, readily available engineering geological map of the UK to provide the broad context for ground investigation. This paper describes the recently published (2011) 1:1 000 000 scale engineering geology superficial and bedrock maps of the UK. It describes the methodologies adopted for their creation and outlines their potential uses, limitations and future applications.

  16. m

    Data from: Dataset of the attributes affecting seismic performance of a...

    • data.mendeley.com
    Updated Mar 21, 2022
    + more versions
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    Luis Esquivel-Salas (2022). Dataset of the attributes affecting seismic performance of a sample of buildings from San Jose, Costa Rica [Dataset]. http://doi.org/10.17632/8by7r5szcn.3
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    Dataset updated
    Mar 21, 2022
    Authors
    Luis Esquivel-Salas
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Costa Rica, San José
    Description

    The data consists of the attributes affecting seismic performance of a sample of 7,294 buildings from the San José canton in Costa Rica, Central America. Contains information about the occupancy type, number of floors, material and type of lateral load resisting system, structural regularity, floor and roof properties (following the GEM Building Taxonomy v2.0).

    The attributes were identified from panoramic images of the buildings when applying remote surveys by a team of trained last-year civil engineering students supervised by civil engineers from the Seismic Engineering Laboratory of the Engineering Research Institute from the University of Costa Rica (LIS-INII-UCR). The visual data were collected on October 2017 by means of the GFZ Mobile Mapping System and the remote surveys were completed on July 2019 by means of the GFZ Remote Rapid Visual Screening platform. The sample buildings were selected by a random stratified sampling with proportional allocation applied to the building population.

    Additional information of interest from the sample buildings, not obtained from the panoramic images, is provided. It consists of the location (coordinates), footprint area, approximate construction period of each building and its corresponding district and neighborhood (hierarchy of geographical administrative units of Costa Rica is as follows: province, canton, district and neighborhood). The approximate construction period was determined by manually analyzing aerial photographs of San José for different time periods.

    The main file is "sampleDB.csv", which contains all the information represented by alphabetical and alphanumerical codes that are explained and described in the files "attribute_type_descriptions.csv" and "attribute_value_descriptions.csv". The attribute types can take different attribute values, for example, for attribute type "llrs" (lateral load resisting system as described in attribute_type_descriptions file), some posible values are LWAL and LDUA (wall and dual type, respectively, as described on attribute_values_descriptions file).

    This data can be use to generate a high resolution building inventory to take part of an exposure model for performing seismic or multi-hazard risk assessments. It can also be used for other studies that need a general but high level description of the buildings from San José canton.

    The data was obtained as part of a seismic risk assessment conducted by LIS-INII-UCR , with funding from the Costa Rica Republic “Transitory 1 of the National Emergencies Law (N° 8488)” assigned to this laboratory.

  17. e

    B-Plan 83.28.1 In the Morchhof — Department of Civil Engineering (WMS)

    • data.europa.eu
    wms
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    B-Plan 83.28.1 In the Morchhof — Department of Civil Engineering (WMS) [Dataset]. https://data.europa.eu/data/datasets/73c5446b-6912-014a-308f-7e59b293f7b1
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    wmsAvailable download formats
    Description

    Web Map Service (WMS) of the urban development plans of the city of Mannheim, consisting of the surrounding area (can be consulted via GetFeatureInfo) and a grid representation of the scanned plan.

  18. Hong Kong Geology

    • opendata.esrichina.hk
    • hub.arcgis.com
    Updated Jun 6, 2016
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    Esri China (Hong Kong) Ltd. (2016). Hong Kong Geology [Dataset]. https://opendata.esrichina.hk/datasets/hong-kong-geology
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    Dataset updated
    Jun 6, 2016
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the simplified geological map of Hong Kong offered by the Geotechnical Engineering Office (GEO) of Civil Engineering and Development Department (CEDD), HKSAR Government. The web map depicts the simplified solid and superficial geology of the territory. It also provides information on major lithological units and faults of Hong Kong. This on-line simplified geological map was prepared for the purpose of promoting geoscience education, and popularising the geology of Hong Kong.

  19. A

    Aerial Imaging and Mapping Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 2, 2025
    + more versions
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    Data Insights Market (2025). Aerial Imaging and Mapping Report [Dataset]. https://www.datainsightsmarket.com/reports/aerial-imaging-and-mapping-1945087
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The aerial imaging and mapping market is experiencing robust growth, driven by increasing demand across diverse sectors. Government agencies leverage this technology for infrastructure monitoring, urban planning, and disaster response. The military and defense sectors utilize it for surveillance, reconnaissance, and target acquisition. The energy sector employs aerial imaging for pipeline inspections, renewable energy site assessments, and resource exploration. Precision agriculture benefits from detailed crop analysis and yield optimization, while civil engineering uses it for project planning, construction monitoring, and asset management. Commercial enterprises are increasingly adopting aerial imaging for real estate assessments, construction progress tracking, and marketing purposes. The market is segmented by platform type, with unmanned aerial vehicles (UAVs or drones) experiencing rapid adoption due to their cost-effectiveness and ease of deployment. Helicopters and fixed-wing aircraft continue to play crucial roles in large-scale projects requiring longer flight durations and heavier payloads. Technological advancements, including higher-resolution sensors, improved data processing capabilities, and AI-powered analytics, are fueling market expansion. Despite these positive trends, challenges remain. High initial investment costs associated with equipment and specialized software can act as a barrier to entry for smaller companies. Data privacy and security concerns necessitate robust regulatory frameworks and ethical considerations. Furthermore, weather dependency and airspace regulations can limit operational efficiency. However, the overall market outlook remains optimistic, projecting a significant expansion over the forecast period (2025-2033). The increasing availability of user-friendly software, coupled with falling hardware costs, is expected to further democratize access to aerial imaging and mapping technologies, driving wider adoption across diverse applications. Specific regional growth will vary, with North America and Europe anticipated to maintain substantial market share due to robust technological advancements and high adoption rates.

  20. M

    Multi-Channel Ground Penetrating Radar (MCGPR) Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 9, 2025
    + more versions
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    Archive Market Research (2025). Multi-Channel Ground Penetrating Radar (MCGPR) Report [Dataset]. https://www.archivemarketresearch.com/reports/multi-channel-ground-penetrating-radar-mcgpr-196395
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    pdf, ppt, docAvailable download formats
    Dataset updated
    May 9, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Multi-Channel Ground Penetrating Radar (MCGPR) market is experiencing robust growth, driven by increasing infrastructure development globally and the rising need for non-destructive testing (NDT) solutions in various sectors. The market is segmented by vehicle type (mounted and trolley) and application (civil engineering, geology & environmental studies, and others). While precise market size data for 2025 is unavailable, considering the rapid technological advancements and increasing adoption of MCGPR in diverse applications, a reasonable estimate for the global market size in 2025 is $350 million. Assuming a conservative Compound Annual Growth Rate (CAGR) of 8% over the forecast period (2025-2033), the market is projected to reach approximately $750 million by 2033. This growth is fueled by several key drivers, including the expanding civil engineering and infrastructure sectors, particularly in developing economies, the increasing demand for precise subsurface mapping for geological and environmental investigations, and the growing adoption of MCGPR for utility mapping and archeological surveys. However, market growth faces certain restraints. High initial investment costs for MCGPR systems can be a barrier to entry for some smaller companies. Furthermore, the need for specialized expertise in data acquisition and interpretation could limit widespread adoption. Despite these challenges, the long-term prospects for the MCGPR market remain positive, driven by ongoing technological innovation, such as improvements in data processing software and the development of more portable and user-friendly systems. The market's regional distribution is expected to be diverse, with North America and Europe holding significant market shares initially, followed by increasing contributions from Asia-Pacific driven by substantial infrastructure projects.

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Road Network Builder's Department of Civil Engineering [Dataset]. https://gimi9.com/dataset/eu_284cdc8f06073a3bc6bef6a53e49e22616430e4c/

Road Network Builder's Department of Civil Engineering

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License

Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically

Description

The road network graph of the Department of Civil Engineering is a line theme that maps streets of the state capital Munich through a network. Only roads or road sections that are dedicated to the Bavarian Roads and Routes Act (BayStrWG) and the Federal Highways Act (FStrG) and are in the construction load of the state capital of Munich and therefore within the competence of the Civil Engineering Department are taken into account in this map presentation. The label consists of the following components: Road Keys   Section Number  Length Example: 5,666 ▪ Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Ê Definition: Road keys: Every street in the state capital Munich receives a unique number. The municipal unit is responsible for assigning the numbers. Section number: Unique numbering of the road sections of a road. The section numbers are assigned by the Civil Engineering Department. The section numbering is usually done house number up and in hundreds of steps. Deviations are possible due to the system. Length: This is the length of the line shown and not the actual length of the road section.

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