GIS Data Collector Market Outlook

The global GIS Data Collector market size is anticipated to grow from USD 4.5 billion in 2023 to approximately USD 12.3 billion by 2032, at a compound annual growth rate (CAGR) of 11.6%. The growth of this market is largely driven by the increasing adoption of GIS technology across various industries, advances in technology, and the need for effective spatial data management.

An important factor contributing to the growth of the GIS Data Collector market is the rising demand for geospatial information across different sectors such as agriculture, construction, and transportation. The integration of advanced technologies like IoT and AI with GIS systems enables the collection and analysis of real-time data, which is crucial for effective decision-making. The increasing awareness about the benefits of GIS technology and the growing need for efficient land management are also fuelling market growth.

The government sector plays a significant role in the expansion of the GIS Data Collector market. Governments worldwide are investing heavily in GIS technology for urban planning, disaster management, and environmental monitoring. These investments are driven by the need for accurate and timely spatial data to address critical issues such as climate change, urbanization, and resource management. Moreover, regulatory policies mandating the use of GIS technology for infrastructure development and environmental conservation are further propelling market growth.

Another major growth factor in the GIS Data Collector market is the continuous technological advancements in GIS software and hardware. The development of user-friendly and cost-effective GIS solutions has made it easier for organizations to adopt and integrate GIS technology into their operations. Additionally, the proliferation of mobile GIS applications has enabled field data collection in remote areas, thus expanding the scope of GIS technology. The advent of cloud computing has further revolutionized the GIS market by offering scalable and flexible solutions for spatial data management.

Regionally, North America holds the largest share of the GIS Data Collector market, driven by the presence of key market players, advanced technological infrastructure, and high adoption rates of GIS technology across various industries. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, primarily due to rapid urbanization, government initiatives promoting GIS adoption, and increasing investments in smart city projects. Other regions such as Europe, Latin America, and the Middle East & Africa are also experiencing significant growth in the GIS Data Collector market, thanks to increasing awareness and adoption of GIS technology.

The role of a GPS Field Controller is becoming increasingly pivotal in the GIS Data Collector market. These devices are essential for ensuring that data collected in the field is accurate and reliable. By providing real-time positioning data, GPS Field Controllers enable precise mapping and spatial analysis, which are critical for applications such as urban planning, agriculture, and transportation. The integration of GPS technology with GIS systems allows for seamless data synchronization and enhances the efficiency of data collection processes. As the demand for real-time spatial data continues to grow, the importance of GPS Field Controllers in the GIS ecosystem is expected to rise, driving further innovations and advancements in this segment.

Component Analysis

The GIS Data Collector market is segmented by component into hardware, software, and services. Each of these components plays a crucial role in the overall functionality and effectiveness of GIS systems. The hardware segment includes devices such as GPS units, laser rangefinders, and mobile GIS devices used for field data collection. The software segment encompasses various GIS applications and platforms used for data analysis, mapping, and visualization. The services segment includes consulting, training, maintenance, and support services provided by GIS vendors and solution providers.

In the hardware segment, the demand for advanced GPS units and mobile GIS devices is increasing, driven by the need for accurate and real-time spatial data collection. These devices are equipped with high-precision sensors and advanced features such as real-time kinematic (RTK) positioning, which enhance

Shoreline change analysis is an important environmental monitoring tool for evaluating coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal wetlands where habitat loss is problematic world-wide. The increasing availability of high-resolution satellite imagery and emerging developments in analysis techniques support the implementation of these data into coastal management, including shoreline monitoring and change analysis. Geospatial shoreline data were created from a semi-automated methodology using WorldView (WV) satellite data between 2013 and 2020. The data were compared to contemporaneous field-surveyed Real-time Kinematic (RTK) Global Positioning System (GPS) data collected by the Grand Bay National Estuarine Research Reserve (GBNERR) and digitized shorelines from U.S. Department of Agriculture National Agriculture Imagery Program (NAIP) orthophotos. Field data for shoreline monitoring sites was also collected to aid interpretation of results. This data release contains digital vector shorelines, shoreline change calculations for all three remote sensing data sets, and field surveyed data. The data will aid managers and decision-makers in the adoption of high-resolution satellite imagery into shoreline monitoring activities, which will increase the spatial scale of shoreline change monitoring, provide rapid response to evaluate impacts of coastal erosion, and reduce cost of labor-intensive practices. For further information regarding data collection and/or processing methods, refer to the associated journal article (Smith and others, 2021).

Summary: How to configure Esri Collector for ArcGIS with a Bad Elf GPS Receiver for High-Accuracy Field Data Collection Storymap metadata page: URL forthcoming Possible K-12 Next Generation Science standards addressed:Grade level(s) 1: Standard 1-LS3-1 - Heredity: Inheritance and Variation of Traits - Make observations to construct an evidence-based account that young plants and animals are like, but not exactly like, their parentsGrade level(s) 4: Standard 4-ESS2-2 - Earth’s Systems - Analyze and interpret data from maps to describe patterns of Earth’s featuresGrade level(s) 5: Standard 5-ESS1-2 - Earth’s Place in the Universe - Represent data in graphical displays to reveal patterns of daily changes in length and direction of shadows, day and night, and the seasonal appearance of some stars in the night skyGrade level(s) 6-8: Standard MS-LS4-5 - Biological Evolution: Unity and Diversity - Gather and synthesize information about technologies that have changed the way humans influence the inheritance of desired traits in organisms.Grade level(s) 6-8: Standard MS-LS4-6 - Biological Evolution: Unity and Diversity - Use mathematical representations to support explanations of how natural selection may lead to increases and decreases of specific traits in populations over timeGrade level(s) 6-8: Standard MS-ESS1-3 - Earth’s Place in the Universe - Analyze and interpret data to determine scale properties of objects in the solar systemGrade level(s) 6-8: Standard MS-ESS2-2 - Earth’s Systems - Construct an explanation based on evidence for how geoscience processes have changed Earth’s surface at varying time and spatial scalesGrade level(s) 9-12: Standard HS-LS4-4 - Biological Evolution: Unity and Diversity - Construct an explanation based on evidence for how natural selection leads to adaptation of populationsGrade level(s) 9-12: Standard HS-ESS2-1 - Earth’s Systems - Develop a model to illustrate how Earth’s internal and surface processes operate at different spatial and temporal scales to form continental and ocean-floor features.Most frequently used words:featurebadelfselectgpsApproximate Flesch-Kincaid reading grade level: 9.9. The FK reading grade level should be considered carefully against the grade level(s) in the NGSS content standards above.

GPS Field Controller Market Outlook

The global GPS Field Controller market size was valued at approximately USD 1.2 billion in 2023, and it is anticipated to reach USD 2.5 billion by 2032, exhibiting a robust compound annual growth rate (CAGR) of 8.3% over the forecast period. The growth of this market is fueled by the increasing demand for precision and accuracy in field operations across diverse industries such as agriculture, construction, and mining. As technological advancements continue to enhance the capabilities of GPS field controllers, they are becoming indispensable tools in modern data collection and field management processes, driving market expansion.

One of the primary growth factors propelling the GPS Field Controller market is the rapid advancement in GPS technology itself. With continuous improvements in satellite navigation systems, including the introduction of new satellite constellations and the enhancement of signal accuracy, GPS field controllers are becoming more reliable and precise. This technological evolution is crucial for sectors like surveying and agriculture, where even minor inaccuracies can lead to significant operational inefficiencies. The integration of advanced features such as real-time kinematic (RTK) positioning and multi-constellation support have further optimized the performance of GPS field controllers, making them essential for precise field data collection and management.

Moreover, the surge in global urbanization and infrastructure development projects is contributing significantly to the growth of the GPS Field Controller market. As urban centers expand and new construction projects are initiated, the demand for efficient and accurate field mapping and surveying tools is rising. GPS field controllers play a critical role in ensuring the precision of topographical surveys and construction site assessments, streamlining project workflows, and reducing costs and time overruns. The construction industry, in particular, is increasingly adopting these technologies to enhance the accuracy of their operations and ensure compliance with stringent regulatory standards, further driving market demand.

Environmental sustainability and smart agriculture practices are also significant drivers of the GPS Field Controller market. As global awareness about environmental conservation grows, there is an increasing focus on optimizing agricultural operations to minimize resource wastage and maximize yield. GPS field controllers facilitate precision agriculture by enabling detailed field mapping, efficient resource allocation, and real-time monitoring of agricultural activities. This capability is particularly beneficial for resource-intensive agricultural processes, fostering increased adoption of GPS field controllers in the agricultural sector and contributing to the market's overall growth trajectory.

Field Mount Controllers are increasingly becoming a vital component in the realm of GPS field controllers, especially as industries demand more robust and versatile solutions for field operations. These controllers are designed to withstand the harshest of environmental conditions, making them ideal for outdoor applications in agriculture, construction, and mining. Their rugged design ensures durability and reliability, which are critical factors for industries that operate in challenging terrains. With the ability to integrate seamlessly with other field equipment, Field Mount Controllers enhance the efficiency of data collection and management, providing users with real-time insights and control over their operations. This integration capability is particularly beneficial in sectors where precision and accuracy are paramount, allowing for streamlined workflows and improved decision-making processes.

From a regional perspective, the Asia Pacific region is expected to witness substantial growth in the GPS Field Controller market. This growth is attributed to the rapid industrialization and urbanization occurring in countries like China and India, where the demand for advanced surveying and construction tools is escalating. Additionally, the region's burgeoning agricultural sector is increasingly embracing precision farming technologies, further supporting market expansion. Meanwhile, North America and Europe continue to be significant markets due to the high adoption rate of advanced technologies and substantial investment in infrastructure development, providing a steady demand for GPS field controllers.

Component Analysis

The Field Data Collection Software market is experiencing robust growth, driven by the increasing need for efficient and accurate data capture across diverse industries. The market's expansion is fueled by several key factors. Firstly, the rising adoption of mobile technologies and cloud computing provides seamless data collection and real-time analysis capabilities, enhancing operational efficiency and decision-making. Secondly, the growing demand for data-driven insights across sectors like construction, oil and gas, and environmental monitoring is pushing organizations to adopt sophisticated field data collection solutions. This trend is further amplified by the increasing focus on safety and compliance regulations, demanding meticulous data recording and analysis for risk mitigation. Furthermore, the integration of advanced features like GPS tracking, image capture, and automated data processing streamlines workflows and minimizes manual errors, thereby improving overall productivity and cost-effectiveness. While initial investment costs can pose a challenge for some businesses, the long-term return on investment in terms of improved efficiency, reduced operational costs, and data-driven decision making is increasingly outweighing the initial expenses. The market's segmented nature, with applications spanning environmental monitoring, construction, oil & gas, and transportation, among others, and various deployment models (cloud-based and on-premises), indicates a wide spectrum of user needs and preferences, opening opportunities for tailored software solutions. The competitive landscape is characterized by a mix of established players and emerging startups offering a range of solutions. While established companies like SafetyCulture and ArcGIS bring experience and extensive feature sets, newer companies are entering with innovative technologies and niche solutions. The market is expected to continue its growth trajectory, driven by technological advancements, increasing data demands across industries, and a growing awareness of the benefits of efficient field data management. The North American and European markets currently hold a significant share, but emerging economies in Asia-Pacific and the Middle East & Africa are expected to witness rapid growth in adoption over the forecast period, largely due to increasing infrastructure development and rising digitization efforts in these regions. The shift towards cloud-based solutions is also a major trend, due to scalability and accessibility advantages over on-premises deployments. This trend is likely to intensify further in the coming years, driven by affordability and convenience.

The data in this release map Marconi Beach, Head of the Meadow Beach, and Nauset Light Beach, in Cape Cod National Seashore (CACO), Massachusetts, before and after Hurricane Lee in September 2023. U.S Geological Survey personnel conducted field surveys to collect topographic data using global navigation satellite systems (GNSS) at all three beaches. In addition, at Nauset Light Beach, an uncrewed aerial system (UAS) was used to collect images with a Ricoh GRII camera for use in structure from motion photogrammetry. High-precision GNSS targets (AeroPoints) were used as ground control points (GCPs) for the UAS photogrammetry. Agisoft Metashape (v. 2.0.1) software was used to create a digital surface model and an orthomosaic from the collected imagery and GCPs. Photos were taken with smartphones for environmental context. This work was conducted under National Park Service Research Permit CACO-2020-SCI-0021.

For full FGDC metadata record, please click here.These data represent Staging and Response Locations collected by GPS for Mississippi, Alabama, and the Florida Panhandle prior to the Deepwater Horizon Oil Spill. The locations for the Peninsular portion of Florida, Georgia, South Carolina, Puerto Rico, and the US Virgin Islands have been compiled from numerous sources into this database schema and will at some later date (after Nov. 2010) be verified and validated by GPS. Staging and response locations were identified first by defining the types of locations that fit these descriptions. The broad categories were defined as Boat Ramp, Marina, Staging Area, or any combination of these. A marina may contain a boat ramp as well as a large parking lot with a seawall suitable for deploying equipment into the water. A staging area may contain just a waterfront park with access to the water, but no boat ramp or marina, but perhaps a dock or pier. These categories and attributes were used to design a specific database schema to collect information on these geographic features that could be used on a GPS-enabled field data collection device. Once the categories of information to be collected and the specifics of what types of information to be collected within each category were determined (the database schema), mobile devices were programmed to accomplish this task and area committee volunteers were used to conduct the field surveys. Field crews were given training on the devices. Guided by base maps identifying potential locations, they then traveled into the field to validate and collect specific GPS and attribute data on those locations. This was a cooperative effort between many federal, state, and local entities guided by FWC-FWRI that resulted in detailed and location-specific information on 366 staging area locations within Sector Mobile and a comprehensive GIS data set that is available on the DVD ROM and website as well a being used in the Geographic Response Plan Map Atlas production. Cyber-Tracker was the software used for this field data collection. Cyber-Tracker is a "shareware" software package developed as a data-capture tool designed for use in Environmental Conservation, Wildlife Biology and Disaster Relief. The software runs on numerous types of mobile devices and designing custom data capture processes for these devices requires no programming experience. Funded in large part by the European Commission and patroned by Harvard University, Cyber-Tracker Software has been a very valuable tool in the data collection efforts of this project. Cyber-Tracker Software can be found on the Internet at: http://www.cybertracker.co.za/.

The global GPS Field Controller market is experiencing robust growth, driven by increasing adoption in surveying, construction, and geological prospecting. The market size in 2025 is estimated at $1.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors. Firstly, advancements in GPS technology are leading to more accurate and efficient data collection, resulting in higher demand for sophisticated field controllers. Secondly, the increasing need for precise spatial data in various industries, coupled with rising infrastructure development globally, is bolstering market expansion. Finally, the integration of advanced features such as touch screen interfaces, improved data processing capabilities, and seamless connectivity with other surveying equipment, is enhancing the overall user experience and productivity, contributing significantly to market growth. However, certain restraints impede market growth. The high initial investment cost of GPS field controllers can be a barrier for small-scale operations. Additionally, the dependence on satellite signals for accurate positioning makes the technology vulnerable to signal interference and atmospheric conditions. Market segmentation reveals a significant preference for touch screen controllers due to their user-friendly interface and ease of operation, while the construction site and geological prospecting applications account for the largest share of market demand. Leading players like Topcon, Trimble, and others are actively engaged in product innovation and strategic partnerships to expand their market presence. The continued technological advancements, increasing infrastructure spending, and a growing awareness of the benefits of precision mapping will contribute to sustained market growth throughout the forecast period. This comprehensive report provides an in-depth analysis of the global GPS Field Controller market, projecting a market valuation exceeding $2 billion by 2028. We delve into market concentration, key trends, dominant segments, and leading companies, offering invaluable insights for stakeholders across the surveying, construction, and geological sectors. This report utilizes rigorous data analysis and expert forecasts to deliver actionable intelligence.

The global GPS Field Controller market is experiencing robust growth, driven by increasing adoption in construction, geological prospecting, and other surveying applications. Technological advancements, such as improved accuracy, enhanced connectivity, and the integration of advanced features like real-time kinematic (RTK) capabilities, are fueling market expansion. The market is segmented by controller type (touch screen, full keyboard, other) and application, with construction and geological prospecting representing significant segments. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This growth trajectory is fueled by rising infrastructure development globally, increasing demand for precise land surveying, and the burgeoning adoption of digital technologies within these sectors. Leading players like Topcon, CHC Navigation, GeoMax, Hi-Target Surveying Instrument, Sokkia, and Trimble are actively shaping market dynamics through continuous product innovation and strategic partnerships. Growth is further propelled by the increasing need for efficient data collection and processing in the field. The shift towards automation and data-driven decision-making in surveying and construction enhances the appeal of GPS field controllers. However, factors like the high initial investment cost and the requirement for skilled personnel to operate the equipment could act as restraints. Nevertheless, the long-term benefits of increased productivity and accuracy are expected to outweigh these limitations, ensuring the continued expansion of this market. Regional variations exist, with North America and Europe expected to dominate the market share due to high adoption rates and technological advancements. However, rapidly developing economies in the Asia-Pacific region are likely to exhibit significant growth in the coming years.

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GPS Market Size 2024-2028

The GPS market size is forecast to increase by USD 111.6 million, at a CAGR of 22.1% between 2023 and 2028.

The Global Positioning System (GPS) market is experiencing significant growth, driven by increasing investment in satellite deployment and the rising demand for advanced GPS devices. These trends reflect the market's potential for innovation and expansion. However, connectivity issues with GPS pose a notable challenge. As satellite coverage can be disrupted by various factors, ensuring uninterrupted GPS service remains a critical concern. Companies must invest in robust technologies to mitigate these disruptions and maintain reliable connectivity. To capitalize on market opportunities and navigate challenges effectively, businesses should focus on developing advanced GPS solutions that address connectivity concerns while offering enhanced features and functionality.
By doing so, they can cater to the evolving needs of consumers and industries, positioning themselves as leaders in the dynamic the market. Despite this,the market is expected to continue its expansion, driven by technological advancements and growing applications across various industries, including automotive technologies.

What will be the Size of the GPS Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The Global Positioning System (GPS) market continues to evolve, with dynamic applications across various sectors. Weather alerts integrated with GPS navigation systems provide real-time information, enhancing safety and convenience for travelers. Head-up displays merge GPS navigation with vehicle data, projecting essential information onto the windshield for easy viewing. Aviation navigation relies on GPS for precise flight tracking and route planning, while autonomous vehicles leverage GPS for positioning and navigation. Automotive navigation systems offer turn-by-turn directions, real-time traffic updates, and subscription models. GNSS receivers provide positioning accuracy for asset tracking in industries like logistics and construction. Smart cities utilize GPS for efficient traffic management, emergency response, and field data collection.

Outdoor navigation systems cater to hikers and adventurers, while security protocols ensure location tracking and positioning accuracy for personal safety. Mapping technologies and navigation services are essential for marine navigation, precision agriculture, and geospatial data collection. Navigation software upgrades, antenna design improvements, and signal strength enhancements continue to drive market innovation. Positioning algorithms and lane guidance systems offer more accurate and efficient navigation solutions. Voice guidance and subscription models cater to diverse user preferences. Road closures and speed limit warnings help optimize travel routes, while satellite positioning and cloud-based services enable remote sensing and real-time data processing.

The ongoing development of GPS technologies and their integration into various industries ensure a continuously evolving market landscape.

How is this GPS Industry segmented?

The GPS industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Logistics and transportation
  Construction and mining
  Others


Type

  Handheld GPS Devices
  Vehicle GPS Devices
  Personal GPS Devices
  Asset Tracking Devices
  Smartphone GPS


End-use Industry

  Automotive
  Transportation & Logistics
  Consumer Electronics
  Aerospace & Defense
  Agriculture
  Mining
  Construction
  Healthcare
  Retail & E-commerce


Technology

  GNSS
  A-GPS
  DR-GPS


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By Application Insights

The logistics and transportation segment is estimated to witness significant growth during the forecast period.

The market is witnessing significant growth as businesses increasingly prioritize the optimization of their supply chains. Weather alerts and real-time traffic updates ensure the timely delivery of perishable goods, such as food, maintaining their market value. In the e-commerce sector, GPS navigation systems and voice guidance facilitate on-time delivery, enhancing customer satisfaction. For industries dealing with valuable assets, such as jewelry or electronics, security protocols and location tracking through GPS technology safeguard

The construction of this data model was adapted from the Telvent Miner & Miner ArcFM MultiSpeak data model to provide interface functionality with Milsoft Utility Solutions WindMil engineering analysis program. Database adaptations, GPS data collection, and all subsequent GIS processes were performed by Southern Geospatial Services for the Town of Apex Electric Utilities Division in accordance to the agreement set forth in the document "Town of Apex Electric Utilities GIS/GPS Project Proposal" dated March 10, 2008. Southern Geospatial Services disclaims all warranties with respect to data contained herein. Questions regarding data quality and accuracy should be directed to persons knowledgeable with the forementioned agreement.The data in this GIS with creation dates between March of 2008 and April of 2024 were generated by Southern Geospatial Services, PLLC (SGS). The original inventory was performed under the above detailed agreement with the Town of Apex (TOA). Following the original inventory, SGS performed maintenance projects to incorporate infrastructure expansion and modification into the GIS via annual service agreements with TOA. These maintenances continued through April of 2024.At the request of TOA, TOA initiated in house maintenance of the GIS following delivery of the final SGS maintenance project in April of 2024. GIS data created or modified after April of 2024 are not the product of SGS.With respect to SGS generated GIS data that are point features:GPS data collected after January 1, 2013 were surveyed using mapping grade or survey grade GPS equipment with real time differential correction undertaken via the NC Geodetic Surveys Real Time Network (VRS). GPS data collected prior to January 1, 2013 were surveyed using mapping grade GPS equipment without the use of VRS, with differential correction performed via post processing.With respect to SGS generated GIS data that are line features:Line data in the GIS for overhead conductors were digitized as straight lines between surveyed poles. Line data in the GIS for underground conductors were digitized between surveyed at grade electric utility equipment. The configurations and positions of the underground conductors are based on TOA provided plans. The underground conductors are diagrammatic and cannot be relied upon for the determination of the actual physical locations of underground conductors in the field.

Small Uncrewed Aircraft Systems (sUAS) were used to collect aerial remote sensing data over Marsh Island, a salt marsh restoration site along New Bedford Harbor, Massachusetts. Remediation of the site will involve direct hydrological and geochemical monitoring of the system alongside the UAS remote sensing data. On July 2nd, 2024, USGS personnel and interns collected natural (RGB) color and infrared (thermal) images and ground control points. These data were processed to produce a high resolution orthomosaics and a digital surface model. Data collection is related to USGS Field Activity 2024-004-FA and this release only provides the UAS portion.

Although the knowledge of the gravity of the Earth has improved considerably with CHAMP, GRACE and GOCE satellite missions, the geophysical community has identified the need for the continued monitoring of its time-variable component with the purpose of estimating the hydrological and glaciological yearly cycles and long-term trends. Currently, the GRACE-FO satellites are the sole provider of this data, while previously the GRACE mission collected these data for 15 years. Between the GRACE and GRACE-FO data periods lies a gap spanning from July 2017 to May 2018, while the Swarm satellites have collected gravimetric data with its GPS receivers since December 2013. This project aims at providing high-quality gravity field models from Swarm data that constitute an alternative and independent source of gravimetric data, which could help alleviate the consequences of the 10-month gap between GRACE and GRACE-FO, as well as the short gaps in the existing GRACE and GRACE-FO monthly time series. The geodetic community has realized that the combination of the different gravity field solutions is superior to any individual model. This project exploits this fact and delivers to the highest quality monthly-independent gravity field models, resulting from the combination of 4 different gravity field estimation approaches. All solutions are unconstrained and estimated independently from month to month. Preliminary comparison with GRACE data has demonstrated that the signal in the Swarm gravity field models is restricted to degrees 12-15 and below, while the temporal correlations decrease considerably above degree 10. The 750km smoothed models are suitable to retrieve the global annual temporal variations of Earth's gravity field and the agreement with GRACE over large basins (e.g. Amazon, Congo-Zambezi, Ganges-Brahmaputra) is within 1cm RMS in terms of Equivalent Water Height. The global RMS relative to a bias, trend, an annual and semi-annual model derived from GRACE over deep ocean areas (those roughly 1000km from shorelines) is under 1mm geoid height during periods of low ionospheric activity. More information about this project can be found at https://www.researchgate.net/project/Multi-approach-gravity-field-models-from-Swarm-GPS-data and ESA's Swarm DISC (the Data, Innovation and Science Cluster) Website (https://earth.esa.int/web/guest/missions/esa-eo-missions/swarm/activities/scientific-projects/disc#MAGF). This project is funded by ESA via the Swarm DISC, Sub-Contract No. SW-CO-DTU-GS-111.

Six GPS data points collected by Alfred Wilklemayer, taken during a one year expedition at Commonwealth Bay, Antarctica.

GPS Points collected at Commonwealth Bay, Antarctica, during 1997

The following GPS data points were collected opportunistically by Mr Alfred Wilklemayer, during a one year expedition in Commonwealth Bay, Antarctica.

Identification Object Position Frozen Husky Dog 67 degrees 04'07" S, 142 degrees 42'39" E First Canister 67 degrees 03'69" S, 142 degrees 42'10" E Second Canister 67 degrees 03'74" S, 142 degrees 42'10" E Third Can/Stick 67 degrees 03'28" S, 142 degrees 42'09" E Furthest Point In (during expedition) 67 degrees 05'47" S, 142 degrees 40'02" E Furthest Point West (during expedition) 67 degrees 04'06" S, 142 degrees 06'04" E

Daily position time-series for GPS station BRAD and BRDY in the NA12 reference frame.

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; BAE Systems Spectral Solutions; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to incorporate previously developed mapping methods to produce coral reef habitat maps for American Samoa, Guam and the Commonwealth of the Northern Mariana Islands. GPS field observations were used to establish the thematic accuracy of this thematic product. Control GPS data was collected on registered survey markers and RMS circular error was calculated to establish the quality of the GPS collected during field surveys.

Trails data compiled by NH Office of Strategic Initiatives and NH Fish and Game Department from multiple public information sources including online maps and spatial data, orthophotos, and field data collection with handheld GPS units. Positional accuracy will vary. Coverage and attributes should not be construed as complete.

City Of Sacramento's Survey Division has developed a high accuracy GPS control point grid. This file currently contains data points for the entire City of Sacramento. The latitude and longitude values have an accuracy level of +/- .05 feet. Elevation data has accuracy of +/- .24 feet.

Field: GPSNUMBER Alias: Survey reference number Field Description: Reference to latitude/longitude minute

Field: NORTHINGFT Alias: False Northing, California State Plane, Zone II, Feet

Field: EASTINGFT Alias: False Easting, California State Plane, Zone II, Feet

Field: ELVORTHOFT Alias: Elevation Ortho (ft)- a preliminary ground elevation to which the orthometric leveling correction has been applied

Field: DFNGVD29FT Alias: Differential NGVD 29- elevation obtained by spirit leveling based on the national geodetic vertical datum of 1929

Field: STREET Alias: Street location of control point

Field: XSTREET Alias: Cross street or reference information

Field: MONTYPE Alias: Control point or monument type

Field: LAT_DMS Alias: Latitude values in Degrees, Minutes, Seconds

Field: LONG_DMS Alias: Latitude values in Degrees, Minutes, Seconds

Field: ELLIPSHT Alias: Ellipsoid Height- the distance, measured along the mormal, from the surface of the ellipsoid to a point

Field: CNVERGENCE Alias: The angle difference at a given location between grid north and astronomic north

Field: GRDSCLFCTR Alias: Grid Scale Factor- a multiplier for reducing a sea level lengths to grid lengths

Field: COMBNDFCTR Alias: Combined Factor- multiplier obtained from the product of the sea level and grid scale factor and applied to ground distance to obtain grid distance

Field: GEOIDHT Alias: Distance of the geoid above (positive) or below (negative) the mathematical reference spheroid

Field: ARCHIVELOC Alias: Use To be Determined Field Description: Associated with crossed out GPS No.-Point ID

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; BAE Systems Spectral Solutions; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to incorporate previously developed mapping methods to produce coral reef habitat maps for American Samoa, Guam and the Commonwealth of the Northern Mariana Islands. GPS field observations were used to establish the thematic accuracy of this thematic product. Control GPS data was collected on registered survey markers and RMS circular error was calculated to establish the quality of the GPS collected during field surveys.

Project: Recovery and Resilience of Oyster Reefs in the Big Bend of Florida

https://wec.ifas.ufl.edu/oysterproject/

Lone Cabbage Reef Restoration Spatial Data (2017-2023) Repository:

https://zenodo.org/communities/lonecabbagereef

Contact: Joe Aufmuth, University of Florida, George A. Smathers Libraries, Academic Research and Consulting Services Department, mapper@ufl.edu, (352) 273-0371.

Clarifying Publication: Aufmuth, Moore, Pine, and Ennis (2024 in progress), An Oyster’s Pearl: Restoring the Elevation of Lone Cabbage Reef, Florida.

The repository contains ArcGIS Map Packages (v3.2.0) that are listed in the repository file Descriptions_Lone_Cabbage_Reef_map_package_list_xls.

Purpose: Data collected varies in scale as well as positional and attribute accuracy. It is the responsibility of the user to verify that the data are appropriate for their project. No warranties or guarantees are made that the data are appropriate for uses other than the Recovery and Resilience of Oyster Reefs in the Big Bend of Florida project.

Data Collection: Elevation data was collected through professional certified surveyors (Lone Cabbage Reef 2017, 2018, and 2021) as well as through field data collection efforts using Trimble survey grade GPS equipment (University of Florida 2019). Oyster count data locations were collected through field efforts and mapped to field transects using Juniper GPS survey equipment (2018, 2019, 2020, 2021, 2022, 2023). Other spatial data layers included in this data set are credited in the layouts that produce the individual maps in the map packages.