The Digital Geologic Map of the U.S. Geological Survey Mapping in the Western Portion of Amistad National Recreation Area, Texas is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Eddie Collins, Amanda Masterson and Tom Tremblay (Texas Bureau of Economic Geology); Rick Page (U.S. Geological Survey); Gilbert Anaya (International Boundary and Water Commission). Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (wpam_metadata.txt; available at http://nrdata.nps.gov/amis/nrdata/geology/gis/wpam_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (wpam_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 14N. The data is within the area of interest of Amistad National Recreation Area.

This dataset consists of cartographic data in digital line graph (DLG) form for the northeastern states (Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island and Vermont). Information is presented on two planimetric base categories, political boundaries and administrative boundaries, each available in two formats: the topologically structured format and a simpler format optimized for graphic display. These DGL data can be used to plot base maps and for various kinds of spatial analysis. They may also be combined with other geographically referenced data to facilitate analysis, for example the Geographic Names Information System.

The Surveying and Mapping Services industry in Canada has weathered uncertain conditions as downstream industries including residential, commercial, industrial construction and government authorities, fared with volatility brought on by the COVID-19 pandemic. The industry's performance is largely tied to developments in residential and nonresidential construction markets, which fuel both private- and public-sector spending.As Canadian oil, gas and mining companies cut back spending on exploration and development projects in response to falling commodity prices, and construction stalled in resource-rich provinces, demand for surveying and mapping services for these projects fell. While growth from the residential construction market helped offset some losses, rising interest intended to offset rising inflation have hampered residential demand. Thus, even as energy prices came roaring back, many surveyors saw a reduction in demand. Over the five years to 2023, industry revenue has been contracting at a CAGR of 1.7% and is expected to reach $1.7 billion, including an expected drop of 3.2% over the current year.The return to growth of downstream construction markets will likely keep industry demand afloat moving forward. In addition to solid demand from industrial building construction as commodity prices remain high, housing market expansion will stimulate demand for cadastral, property line and construction surveying. The continued adoption of new technology will also enable companies to realize new efficiencies and improve the quality of their services, expanding sizable profit margins further. Industry revenue is forecast to rise at a CAGR of 1.2% to $1.8 billion over the five years to 2028.

Specifications, principles, and processes for cartography and production of general electronic maps of Taiwan, updated version for the 114th year.

NOAA's National Geodetic Survey (NGS) Map - Web Map is the map used by the Web Map Application. It allows users to view geodetic control across the United States and its territories. This application includes three different data sets (CORS, OPUS, Datasheets) as layers with Datasheets having 2 layers and CORS having 3 layers (2 for scale based symbology). This map provides access to control mark information including latitude, longitude, elevation and more. National Geodetic Survey Map - Web Map Application

The documents included in this dataset provide information on:a) personal questions given to survey participants (DemographicsQuestionnaire.pdf)b) spatial questions given to participants (SpatialQuestions.pdf)c) the adapted SUS questionnaire (MapUsabilityScale.pdf)d) The dataset of collected participants responses, in the form of a zip archive (3D_printed_map.7z). e) a document with brief guidelines for conducting the survey (Guidelines.docx).f) Finally, the R script (experiment.R) to run the statistical analysis detailed in the paper and to generate Tables 1-4 and the contents of Figure 9 are also included. The R script needs calling the above-mentioned dataset of participants' responses (d), to run effectively.

The NGS Survey Control Map provides a map of the US which allows you to find and display geodetic survey control points stored in the database of the National Geodetic Survey and access the geodetic control data sheets associated with the points. Data sheets are in ASCII format and show precise latitude and longitude, orthometric heights, and gravity data for individual survey control points.

The mapping survey layer contains the surveyed extents of photogrammetric, topographic and lidar derived mapping survey completed to Main Roads specifications and standards. This data is used for road investigation, planning, design, construction and asset management.This data is used for road investigation, planning, design, construction and asset management.The data within this layer is continually maintained and edited on a daily basis.Data Dictionary: https://bit.ly/3n9PDd9

The operating expenses by North American Industry Classification System (NAICS) which include all members under industry expenditures, for surveying and mapping services (NAICS 54136 and 54137), annual (percent), for five years of data.

Digital line graph (DLG) data are digital representations of cartographic information. DLGs of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1:100,000 are used. Intermediate-scale DLGs are sold in five categories: (1) Public Land Survey System; (2) boundaries; (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG-Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.

INSS Bathymetry Survey Atlantic Ocean. Ireland's territorial seabed reaches more than 600 miles out into the Atlantic Ocean to waters of more than 4,500 metres in depth. The Seabed Survey aims to map the seabed collecting detailed bathymetry (water depth) data and knowledge of the nature of the seabed and its overlying sediment. In addition, Magnetic and gravity techniques are helping to evaluate the nature and structure of the deeper geology. This cruise is concentrating on waters in Zone 1 between 0-50m off the Irish coast. Mapping Ireland's seabed resource.

The purpose of this project is to provide professional surveying and mapping services for the creation of a high-resolution digital elevation model developed from LIDAR data for Wayne County, Georgia. USGS Contract G10PC00026, Task Order Number G10PD000654

Original contact information: Contact Name: Mark Meade Contact Org: Photo Science, Inc. Phone: 859-277-8700 Email: mmeade@phot...

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Point Sur to Point Arguello map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Point Sur to Point Arguello map area data layers. Data layers are symbolized as shown on the associated map sheets.

A digital raster graphic (DRG) is a scanned image of a U.S.Geological Survey (USGS) topographic map. The scanned image includes all map collar information. The image inside the map neatline is georeferenced to the surface of Earth. The DRG can be used to collect, review, and revise other digital data especially digital line graphs (DLG). When the DRG is combined with other digital products, such as digital orthophoto quadrangles (DOQ) or digital elevation models (DEM), the resulting image provides additional visual information for the extraction and revision of base cartographic information. The USGS is producing DRGs of the 1:24,000-, 1:25,000-, 1:63,360-(Alaska), 1:100,000-, and 1:250,000-scale topographic map series. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

Survey & Mapping Market Outlook

The global Survey & Mapping market size was valued at USD 15.2 billion in 2023 and is projected to reach USD 28.6 billion by 2032, with a CAGR of 7.2% during the forecast period. The growth of this market is driven primarily by the increasing demand for precise and reliable geospatial data across various sectors. Technological advancements in surveying and mapping tools, coupled with the rising deployment of Geographic Information Systems (GIS) and remote sensing technologies, are also contributing significantly to the market expansion.

One of the major growth factors in the Survey & Mapping market is the rapid urbanization and infrastructure development worldwide. As cities expand and new infrastructure projects arise, the need for accurate mapping and surveying data becomes paramount. This growth is particularly evident in developing regions where governments are undertaking large-scale projects to improve urban planning and development. Accurate survey data is critical for efficient planning, designing, and maintaining infrastructure such as roads, bridges, and utilities, which in turn fuels the demand for advanced surveying and mapping technologies.

Another significant factor contributing to market growth is the increasing adoption of unmanned aerial vehicles (UAVs) or drones for surveying and mapping. UAVs offer a cost-effective, efficient, and safe method for capturing high-resolution aerial imagery and data over large areas. They are increasingly being used in various applications such as agriculture, mining, and construction to provide precise topographical data, monitor site progress, and assess conditions. The integration of UAVs with advanced sensors and AI-driven analytics is further enhancing their capability, driving their adoption across multiple industries.

Technological advancements in surveying and mapping equipment, including the development of LiDAR (Light Detection and Ranging) and GNSS (Global Navigation Satellite System) technologies, are also propelling market growth. LiDAR technology, in particular, is gaining traction due to its ability to produce highly accurate 3D models of terrain and objects. GNSS technology, on the other hand, provides precise location data, which is essential for various surveying applications. These technologies are increasingly being adopted for applications ranging from environmental monitoring to urban planning, contributing to the overall market expansion.

In addition to these advancements, Underground Survey Mapping Service is becoming increasingly vital in the context of urban development and infrastructure projects. This service provides essential data for the planning and execution of underground utilities and infrastructure, which are crucial for modern urban environments. By utilizing advanced technologies such as ground-penetrating radar and 3D modeling, underground survey mapping offers precise insights into subsurface conditions. This is particularly important for mitigating risks associated with construction and ensuring the safety and sustainability of urban projects. As cities continue to grow and evolve, the demand for accurate underground mapping services is expected to rise, further driving the expansion of the Survey & Mapping market.

Regionally, North America holds a significant share of the Survey & Mapping market, driven by the presence of key market players and the high adoption rate of advanced surveying technologies. The region is characterized by stringent regulations regarding infrastructure development and environmental monitoring, further boosting the demand for accurate and reliable survey data. Europe is also a prominent market, with increasing investments in infrastructure and smart city initiatives. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, infrastructure development, and government initiatives aimed at improving geospatial data collection and utilization.

Component Analysis

The Survey & Mapping market is segmented by components into hardware, software, and services. The hardware segment includes various equipment such as total stations, GNSS/GPS receivers, UAVs, and LiDAR systems. This segment holds a significant share of the market due to the essential role of these devices in capturing accurate geospatial data. The increasing demand for advanced hardware solutions that offer greater precision and eff

The data set presents the map indexes of the Second Military Survey in 1:28,800 scale for Galicia and Austrian Silesia, two provinces of the Austrian Monarchy. Currently, Galicia belongs to Ukraine and Poland, and Austrian Silesia to the Czech Republic and Poland. The indexes, apart from the approximate geographical range, contain information about the authors and the years in which individual sheets were produced. The authors of the maps are distinguished as directors, surveyors and drafters, description writers, and reambulators. For each author, the name of the military unit to which he belonged is given. This is a unique set of data obtained from the map frames of 455 sheets held by the War Archives in Vienna. The Second Austrian Military Survey in 1:28,800 scale was made for the province of Galicia in 1861-1864 and for Austrian Silesia in 1838-1841. In Galicia, the work on 413 sheets was led by thirteen cartographers, and the content and descriptions were prepared by 106 cartographic technicians. On the 42 sheets of Silesia, two directors and eleven technicians were recorded. The military cartographers who prepared the survey of each province belonged to 71 different multinational units of the army of the Austrian Monarchy. These data can be useful for geographers and historians, especially for those researching the history of cartography. Knowing the diverse authorship of the map sheets is helpful in understanding the consistency of the data on maps and assessing their quality. This may help reduce the uncertainty of using historical data from these maps for a variety of long-term studies of nature and socio-economic studies.

Acknowledgments This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2020, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83).

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows four maps, circa 1955. On the left of this plate, the top map shows the extent of township and boundary surveys. The bottom left map shows the extent and type of air-photographic surveys. Air-photographic surveys have greatly facilitated the mapping of the country and serve many other uses as well. For purposes of accuracy, vertical photographs are preferable in that distortion is reduced to a minimum. Where speed has been a factor, trimetrogon surveys have been carried out. In this type of survey the aircraft carries three cameras, one of which takes vertical photographs and the other two oblique photographs on either side of the aircraft's track. Because of the wide coverage, fewer flights are required for oblique than vertical surveys. On the right of this plate, the upper map entitled Geodetic Surveys shows the triangulation areas in which precise control points have been established by the triangulation method, while the shoran trilateration symbols indicate precise control points established by that method. The bottom right map also entitled Geodetic Surveys shows precise and exploratory astronomical fixations which differ only in the amount of time and instrumentation required in taking the fixes. Both types of fixations are used as control points for surveys.

This U.S. Geological Survey (USGS) data release for the geologic map of the Arlington quadrangle, Carbon County, Wyoming, is a Geologic Map Schema (GeMS, 2020)-compliant version of the printed geologic map published in USGS Geologic Map Quadrangle GQ-643 (Hyden and others, 1967). The database represents the geology for the 35,776-acre map plate at a publication scale of 1:24,000. References: Hyden, H.J., King, J.S., and Houston, R.S., 1967, Geologic map of the Arlington quadrangle, Carbon County, Wyoming: U.S. Geological Survey, Geologic Quadrangle Map GQ-643, scale 1:24,000; https://doi.org/10.3133/gq643. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.

This U.S. Geological Survey (USGS) data release presents a digital database of geospatially enabled vector layers and tabular data transcribed from the geologic map of the Lake Owen quadrangle, Albany County, Wyoming, which was originally published as U.S. Geological Survey Geologic Quadrangle Map GQ-1304 (Houston and Orback, 1976). The 7.5-minute Lake Owen quadrangle is located in southeastern Wyoming approximately 25 miles (40 kilometers) southwest of Laramie in the west-central interior of southern Albany County, and covers most of the southern extent of Sheep Mountain, the southeastern extent of Centennial Valley, and a portion of the eastern Medicine Bow Mountains. This relational geodatabase, with georeferenced data layers digitized at the publication scale of 1:24,000, organizes and describes the geologic and structural data covering the quadrangle's approximately 35,954 acres and enables the data for use in spatial analyses and computer cartography. The data types presented in this release include geospatial features (points, lines, and polygons) with matching attribute tables, nonspatial descriptive and reference tables, and ancillary resource files for correct symbolization, in formats that conform to the Geologic Map Schema (GeMS) developed and released by the U.S. Geological Survey's National Cooperative Geologic Mapping Program (GeMS, 2020). When reconstructed from the geodatabase's vector layers and tabular data that has been symbolized according to specifications encoded in the accompanying style file, and using the supplied Federal Geographic Data Committee (FGDC) GeoAge font for labeling formations and GeoSym fonts for structural line decorations and orientation measurement symbols, this data release presents the Geologic Map as shown on the published GQ-1304 map sheet. These GIS data augment but do not supersede the information presented on GQ-1304. References: Houston, R.S., and Orback, C.J., 1976, Geologic Map of the Lake Owen Quadrangle, Albany County, Wyoming: U.S. Geological Survey Geologic Quadrangle Map GQ-1304, scale 1:24,000, https://doi.org/10.3133/gq1304. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)- A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.

NOTICE TO PROVISIONAL 2023 LAND USE DATA USERS: Please note that on December 6, 2024 the Department of Water Resources (DWR) published the Provisional 2023 Statewide Crop Mapping dataset. The link for the shapefile format of the data mistakenly linked to the wrong dataset. The link was updated with the appropriate data on January 27, 2025. If you downloaded the Provisional 2023 Statewide Crop Mapping dataset in shapefile format between December 6, 2024 and January 27, we encourage you to redownload the data. The Map Service and Geodatabase formats were correct as posted on December 06, 2024.

Thank you for your interest in DWR land use datasets.

The California Department of Water Resources (DWR) has been collecting land use data throughout the state and using it to develop agricultural water use estimates for statewide and regional planning purposes, including water use projections, water use efficiency evaluations, groundwater model developments, climate change mitigation and adaptations, and water transfers. These data are essential for regional analysis and decision making, which has become increasingly important as DWR and other state agencies seek to address resource management issues, regulatory compliances, environmental impacts, ecosystem services, urban and economic development, and other issues. Increased availability of digital satellite imagery, aerial photography, and new analytical tools make remote sensing-based land use surveys possible at a field scale that is comparable to that of DWR’s historical on the ground field surveys. Current technologies allow accurate large-scale crop and land use identifications to be performed at desired time increments and make possible more frequent and comprehensive statewide land use information. Responding to this need, DWR sought expertise and support for identifying crop types and other land uses and quantifying crop acreages statewide using remotely sensed imagery and associated analytical techniques. Currently, Statewide Crop Maps are available for the Water Years 2014, 2016, 2018- 2022 and PROVISIONALLY for 2023.

Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer: https://gis.water.ca.gov/app/CADWRLandUseViewer.

For Regional Land Use Surveys follow: https://data.cnra.ca.gov/dataset/region-land-use-surveys.

For County Land Use Surveys follow: https://data.cnra.ca.gov/dataset/county-land-use-surveys.

For a collection of ArcGIS Web Applications that provide information on the DWR Land Use Program and our data products in various formats, visit the DWR Land Use Gallery: https://storymaps.arcgis.com/collections/dd14ceff7d754e85ab9c7ec84fb8790a.

Recommended citation for DWR land use data: California Department of Water Resources. (Water Year for the data). Statewide Crop Mapping—California Natural Resources Agency Open Data. Retrieved “Month Day, YEAR,” from https://data.cnra.ca.gov/dataset/statewide-crop-mapping.