100+ datasets found
  1. Purchase Units under the Weeks Law (Feature Layer)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +4more
    Updated Jul 11, 2025
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    U.S. Forest Service (2025). Purchase Units under the Weeks Law (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/purchase-units-under-the-weeks-law-feature-layer-2b611
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    A unit designated by the Secretary of Agriculture or previously approved by the National Forest Reservation Commission for purposes of Weeks Law acquisition. Metadata

  2. Stat Acquisition

    • esrifrance.hub.arcgis.com
    Updated Jul 24, 2018
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    Esri France (2018). Stat Acquisition [Dataset]. https://esrifrance.hub.arcgis.com/datasets/4140f84e78b74691a4c296fa63ada369
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    Dataset updated
    Jul 24, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri France
    Area covered
    Description

    Espaces Naturels Sensibles

  3. Esri Imagery Content Web Map for Search and Discovery

    • hub.arcgis.com
    Updated Jan 28, 2016
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    Esri Imagery Virtual Team (2016). Esri Imagery Content Web Map for Search and Discovery [Dataset]. https://hub.arcgis.com/maps/d903b90182624d8b8e6a10ddf61d9954
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    Dataset updated
    Jan 28, 2016
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Imagery Virtual Team
    Area covered
    Description

    This map features recent high-resolution (1m) aerial imagery for the continental United States made available by the USDA Farm Services Agency. The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental United States. A primary goal of the NAIP program is to make digital ortho photography available to governmental agencies and the public within a year of acquisition. This image layer provides access to the most recent NAIP imagery for each state and will be updated annually as new imagery is made available. This imagery is published in 4-bands (RGB and Near Infrared), where available, with the option to display the imagery as false color to show the IR band or to display the NDVI (Normalized Difference Vegetation Index) showing relative biomass of an area.This map features the NAIP image layer along with the Imagery with Labels basemap for reference purposes. The NAIP imagery may be more recent in some cases than the current imagery in the World Imagery basemap, so you can use them both for comparison purposes. The map also includes a World Transportation layer than can be turned on at large scales for additional reference information (e.g. street labels).The image layer currently includes NAIP 2010-2014 imagery, having been updated recently to include NAIP 2014 imagery where available. It will be updated with NAIP 2015 imagery as that becomes publicly available.

  4. Plans and Notices from LandsD for Land Acquisition and Foreshore and Seabed...

    • opendata.esrichina.hk
    • hub.arcgis.com
    Updated Jan 27, 2023
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    Esri China (Hong Kong) Ltd. (2023). Plans and Notices from LandsD for Land Acquisition and Foreshore and Seabed Reclamation [Dataset]. https://opendata.esrichina.hk/maps/f4b198fff16247b98828df24a7b28ee5
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    Dataset updated
    Jan 27, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the locations of Government Notices and Plans issued by Lands Department for Land Acquisition and Foreshore and Seabed Reclamation in Hong Kong since 2 January 2009 in Hong Kong. It is a set of data made available by the Buildings Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

  5. Permanent Easement - Required and Special Purchase

    • data.iowadot.gov
    • esri-stl-office.hub.arcgis.com
    • +2more
    Updated Jul 14, 2020
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    Iowa Department of Transportation (2020). Permanent Easement - Required and Special Purchase [Dataset]. https://data.iowadot.gov/datasets/permanent-easement-required-and-special-purchase
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    Dataset updated
    Jul 14, 2020
    Dataset authored and provided by
    Iowa Department of Transportationhttps://iowadot.gov/
    License

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

    Area covered
    Description

    Note: This is a subset of the Right of Way Acquisition View to serve out only Required State Permanent Easement Right of WayParcels.

  6. G

    Geospatial Analytics Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Dec 7, 2024
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    Archive Market Research (2024). Geospatial Analytics Market Report [Dataset]. https://www.archivemarketresearch.com/reports/geospatial-analytics-market-5290
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Dec 7, 2024
    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 Geospatial Analytics Market size was valued at USD 98.93 billion in 2023 and is projected to reach USD 227.04 billion by 2032, exhibiting a CAGR of 12.6 % during the forecasts period. The Geospatial Analytics Market describes an application of technologies and approaches processing geographic and spatial data for intelligence and decision-making purposes. This market comprises of mapping tools and software, spatial data and geographic information systems (GIS) used in various fields including urban planning, environmental, transport and defence. Use varies from inventory tracking and control to route optimization and assessment of changes in environment. Other trends are the growth of big data and machine learning to improve the predictive methods, the improved real-time data processing the use of geographic data in combination with other technologies, for example, IoT and cloud. Some of the factors that are fuelling the need to find a marketplace for GIS solutions include; Increasing importance of place-specific information Increasing possibilities for data collection The need to properly manage spatial information in a high stand environment. Recent developments include: In May 2023, Google launched Google Geospatial Creator, a powerful tool that allows users to create immersive AR experiences that are both accurate and visually stunning. It is powered by Photorealistic 3D Tiles and ARCore from Google Maps Platform and can be used with Unity or Adobe Aero. Geospatial Creator provides a 3D view of the world, allowing users to place their digital content in the real world, similar to Google Earth and Google Street View. , In April 2023, Hexagon AB launched the HxGN AgrOn Control Room. It is a mobile app that allows managers and directors of agricultural companies to monitor all field operations in real time. It helps managers identify and address problems quickly, saving time and money. Additionally, the app can help to improve safety by providing managers with a way to monitor the location and status of field workers. , In December 2022, ESRI India announced the availability of Indo ArcGIS offerings on Indian public clouds and services to provide better management, collecting, forecasting, and analyzing location-based data. , In May 2022, Trimble announced the launch of the Trimble R12i GNSS receiver, which has a powerful tilt adjustment feature. It enables land surveyors to concentrate on the task and finish it more quickly and precisely. , In May 2021, Foursquare purchased Unfolded, a US-based provider of location-based services. This US-based firm provides location-based services and goods, including data enrichment analytics and geographic data visualization. With this acquisition, Foursquare aims to provide its users access to various first and third-party data sets and integrate them with the geographical characteristics. , In January 2021, ESRI, a U.S.-based geospatial image analytics solutions provider, introduced the ArcGIS platform. ArcGIS Platform by ESRI operates on a cloud consumption paradigm. App developers generally use this technology to figure out how to include location capabilities in their apps, business operations, and goods. It aids in making geospatial technologies accessible. .

  7. 3

    3D Mapping Modelling Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Feb 1, 2025
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    Pro Market Reports (2025). 3D Mapping Modelling Market Report [Dataset]. https://www.promarketreports.com/reports/3d-mapping-modelling-market-10299
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Feb 1, 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 3D mapping and modeling market is expected to grow significantly in the next few years as demand increases for detailed and accurate representations of physical environments in three-dimensional space. Estimated to be valued at USD 38.62 billion in the year 2025, the market was expected to grow at a CAGR of 14.5% from 2025 to 2033 and was estimated to reach an amount of USD 90.26 billion by the end of 2033. The high growth rate is because of improvement in advanced technologies with the development of high-resolution sensors and methods of photogrammetry that make possible higher-resolution realistic and immersive 3D models.Key trends in the market are the adoption of virtual and augmented reality (VR/AR) applications, 3D mapping with smart city infrastructure, and increased architecture, engineering, and construction utilization of 3D models. Other factors are driving the growing adoption of cloud-based 3D mapping and modeling solutions. The solutions promise scalability, cost-effectiveness, and easy access to 3D data, thus appealing to business and organizations of all sizes. Recent developments include: Jun 2023: Nomoko (Switzerland), a leading provider of real-world 3D data technology, announced that it has joined the Overture Maps Foundation, a non-profit organization committed to fostering collaboration and innovation in the geospatial domain. Nomoko will collaborate with Meta, Amazon Web Services (AWS), TomTom, and Microsoft, to create interoperable, accessible 3D datasets, leveraging its real-world 3D modeling capabilities., May 2023: The Sanborn Map Company (Sanborn), an authority in 3D models, announced the development of a powerful new tool, the Digital Twin Base Map. This innovative technology sets a new standard for urban analysis, implementation of Digital Cities, navigation, and planning with a fundamental transformation from a 2D map to a 3D environment. The Digital Twin Base Map is a high-resolution 3D map providing unprecedented detail and accuracy., Feb 2023: Bluesky Geospatial launched the MetroVista, a 3D aerial mapping program in the USA. The service employs a hybrid imaging-Lidar airborne sensor to capture highly detailed 3D data, including 360-degree views of buildings and street-level features, in urban areas to create digital twins, visualizations, and simulations., Feb 2023: Esri, a leading global provider of geographic information system (GIS), location intelligence, and mapping solutions, released new ArcGIS Reality Software to capture the world in 3D. ArcGIS Reality enables site, city, and country-wide 3D mapping for digital twins. These 3D models and high-resolution maps allow organizations to analyze and interact with a digital world, accurately showing their locations and situations., Jan 2023: Strava, a subscription-based fitness platform, announced the acquisition of FATMAP, a 3D mapping platform, to integrate into its app. The acquisition adds FATMAP's mountain-focused maps to Strava's platform, combining with the data already within Strava's products, including city and suburban areas for runners and other fitness enthusiasts., Jan 2023: The 3D mapping platform FATMAP is acquired by Strava. FATMAP applies the concept of 3D visualization specifically for people who like mountain sports like skiing and hiking., Jan 2022: GeoScience Limited (the UK) announced receiving funding from Deep Digital Cornwall (DDC) to develop a new digital heat flow map. The DDC project has received grant funding from the European Regional Development Fund. This study aims to model the heat flow in the region's shallower geothermal resources to promote its utilization in low-carbon heating. GeoScience Ltd wants to create a more robust 3D model of the Cornwall subsurface temperature through additional boreholes and more sophisticated modeling techniques., Aug 2022: In order to create and explore the system's possibilities, CGTrader worked with the online retailer of dietary supplements Hello100. The system has the ability to scale up the generation of more models, and it has enhanced and improved Hello100's appearance on Amazon Marketplace.. Key drivers for this market are: The demand for 3D maps and models is growing rapidly across various industries, including architecture, engineering, and construction (AEC), manufacturing, transportation, and healthcare. Advances in hardware, software, and data acquisition techniques are making it possible to create more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations.

    . Potential restraints include: The acquisition and processing of 3D data can be expensive, especially for large-scale projects. There is a lack of standardization in the 3D mapping modeling industry, which can make it difficult to share and exchange data between different software and systems. There is a shortage of skilled professionals who are able to create and use 3D maps and models effectively.. Notable trends are: 3D mapping and modeling technologies are becoming essential for a wide range of applications, including urban planning, architecture, construction, environmental management, and gaming. Advancements in hardware, software, and data acquisition techniques are enabling the creation of more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations..

  8. d

    5 meter ArcRaster grid (gaps filled) of bathymetry acquired using a SEA Ltd....

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). 5 meter ArcRaster grid (gaps filled) of bathymetry acquired using a SEA Ltd. SWATHplus interferometric sonar offshore of Massachusetts within northern Cape Cod Bay (CCB_BATH_F Esri BINARY GRID, UTM Zone 19N). [Dataset]. https://catalog.data.gov/dataset/5-meter-arcraster-grid-gaps-filled-of-bathymetry-acquired-using-a-sea-ltd-swathplus-interf
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Cape Cod, Cape Cod Bay, Massachusetts
    Description

    These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters of coastal Massachusetts, primarily in water depths of 3-30 meters deep. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). The data collected in the study area located in Northern Cape Cod Bay Massachusetts includes high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection), and ground validation (sediment samples, video tracklines, and bottom photographs). The data were collected during five separate surveys conducted between 2006 and 2008 and cover 480 square kilometers of the inner continental shelf. More information about the individual USGS surveys conducted as part of the northern Cape Cod Bay project can be found on the Woods Hole Coastal and Marine Science Center Field Activity webpage: 06012: http://quashnet.er.usgs.gov/data/2006/06012/ 07001: http://quashnet.er.usgs.gov/data/2007/07001/ 07002: http://quashnet.er.usgs.gov/data/2007/07002/ 07003: http://quashnet.er.usgs.gov/data/2007/07003/ 08002: http://quashnet.er.usgs.gov/data/2008/08002/

  9. Other State Acquired Land - Polygon

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Apr 3, 2006
    + more versions
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    Alaska Department of Natural Resources ArcGIS Online (2006). Other State Acquired Land - Polygon [Dataset]. https://hub.arcgis.com/maps/SOA-DNR::other-state-acquired-land-polygon
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    Dataset updated
    Apr 3, 2006
    Dataset provided by
    https://arcgis.com/
    Authors
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    Lands conveyed to the State of Alaska with a variety of cases such as general purpose, expansion of communities, University of Alaska, and recreational purposes. This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Ownership - Other State Acquired Land category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction. Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://www.dnr.state.ak.us/las/LASMenu.cfm Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

  10. i

    Processed Gridded ESRI ASCII Sidescan Data (MR1) from the Galapagos...

    • get.iedadata.org
    • marine-geo.org
    • +1more
    ascii:esri v.1, xml
    Updated Dec 21, 2016
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    default publisher (2016). Processed Gridded ESRI ASCII Sidescan Data (MR1) from the Galapagos Spreading Center acquired during R/V Roger Revelle expedition DRFT04RR (2001) [Dataset]. http://doi.org/10.1594/IEDA/323859
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    ascii:esri v.1, xmlAvailable download formats
    Dataset updated
    Dec 21, 2016
    Dataset provided by
    default publisher
    Area covered
    Description

    This data set was acquired with an UH:Hawaii Mapping Research Group MR1 Sidescan Sonar during R/V Roger Revelle expedition DRFT04RR conducted in 2001 (Chief Scientist: Dr. Mark Kurz, Investigator: Dr. Daniel Fornari). These data files are of ESRI ASCII Grid format and include Sidescan data that were processed after acquisition.

  11. d

    NOAA ESRI Geotiff- 1m Multibeam Bathymetry of Mid Shelf Reef, US Virgin...

    • datadiscoverystudio.org
    • fisheries.noaa.gov
    • +2more
    html
    Updated Feb 7, 2018
    + more versions
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    (2018). NOAA ESRI Geotiff- 1m Multibeam Bathymetry of Mid Shelf Reef, US Virgin Islands, Project NF-05-05, 2005, UTM 20 NAD83. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8c455aa9182941488a0bc8c62ce46c16/html
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    htmlAvailable download formats
    Dataset updated
    Feb 7, 2018
    Description

    description: This dataset contains an ESRI Geotiff with 1 meter cell size representing the bathymetry of the Mid Shelf Reef south of St. Thomas, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.; abstract: This dataset contains an ESRI Geotiff with 1 meter cell size representing the bathymetry of the Mid Shelf Reef south of St. Thomas, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

  12. g

    Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric...

    • gimi9.com
    Updated Dec 9, 2024
    + more versions
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    (2024). Esri Binary 2-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023 2M UTM, UTM Zone 19, NAD83) | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_63a7d87b18b936176e4a305160c41370e7cd56a3
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    Dataset updated
    Dec 9, 2024
    Area covered
    Block Island Sound
    Description

    The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of Block Island Sound, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During June 2012, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sidescan-sonar, sedimentary, and photographic data collected in Block Island Sound. For more information on the ground-truth survey see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-002-FA.

  13. Maryland Imagery Acquisition Flight Information - Photo Centers

    • hub.arcgis.com
    • data.imap.maryland.gov
    • +3more
    Updated Aug 1, 2018
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    ArcGIS Online for Maryland (2018). Maryland Imagery Acquisition Flight Information - Photo Centers [Dataset]. https://hub.arcgis.com/datasets/maryland::maryland-imagery-acquisition-flight-information-photo-centers
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    Dataset updated
    Aug 1, 2018
    Dataset provided by
    https://arcgis.com/
    Authors
    ArcGIS Online for Maryland
    Area covered
    Description

    This service contains photo centers for the 2019 and 2020 high-resolution imagery acquisition.This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.Feature Service Link: https://mdgeodata.md.gov/imap/rest/services/Imagery/MD_ImageryAcquisitionFlightInformation/FeatureServer/1

  14. FWS National Realty Approved Acquisition Boundaries

    • gis.data.alaska.gov
    • hub.arcgis.com
    • +3more
    Updated Apr 7, 2025
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    U.S. Fish & Wildlife Service (2025). FWS National Realty Approved Acquisition Boundaries [Dataset]. https://gis.data.alaska.gov/maps/fws::fws-national-realty-approved-acquisition-boundaries
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    Dataset updated
    Apr 7, 2025
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This data layer depicts the external boundaries of areas approved for acquisition of lands and waters by the U.S. Fish and Wildlife Service (USFWS) in North America, U.S. Trust Territories and Possessions from willing sellers. This boundary does not represent the lands and waters administered by the USFWS. That data is found in the U.S. Fish and Wildlife Service National Realty Tracts view layer. The primary source for this information is the USFWS Division of Realty.Data can also be downloaded from ServCat, the FWS Catalog. Go to this link for downloadable cadastral data: https://iris.fws.gov/APPS/ServCat/Reference/Profile/179876Sync is enabled, but editing is disabled. POC for these data are: cdwg@fws.gov

  15. S

    Satellite Remote Sensing Software Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 2, 2025
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    Market Report Analytics (2025). Satellite Remote Sensing Software Report [Dataset]. https://www.marketreportanalytics.com/reports/satellite-remote-sensing-software-53977
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The global satellite remote sensing software market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise figures for market size and CAGR aren't provided, considering the technological advancements and applications in agriculture (precision farming, crop monitoring), water conservancy (flood management, irrigation optimization), forest management (deforestation monitoring, resource assessment), and the public sector (urban planning, disaster response), a conservative estimate places the 2025 market size at approximately $2 billion. This figure reflects the substantial investments in satellite imagery acquisition and analysis capabilities worldwide. The market is further fueled by the rising adoption of cloud-based solutions, enhancing accessibility and scalability of software platforms. Trends such as the integration of AI and machine learning for automated image processing, the proliferation of high-resolution satellite imagery, and the increasing availability of open-source software are accelerating market expansion. However, factors such as the high cost of specialized software licenses and the need for skilled professionals to operate the sophisticated systems act as restraints. The market is segmented by application (agriculture, water conservancy, forest management, public sector, others) and software type (open-source, non-open-source). The North American and European markets currently hold significant shares, but the Asia-Pacific region is witnessing rapid growth due to increasing infrastructure development and government initiatives promoting geospatial technologies. This dynamic market landscape presents lucrative opportunities for both established players and emerging companies in the years to come. The forecast period (2025-2033) anticipates continued growth, with a projected CAGR of approximately 12%, driven by the aforementioned technological advancements and broadening applications across various industry verticals. The competitive landscape is comprised of both major players like ESRI, Trimble, and PCI Geomatica, offering comprehensive suites of software, and smaller, specialized companies focusing on niche applications or open-source solutions. The market is characterized by both proprietary and open-source software options. Open-source solutions like QGIS and GRASS GIS offer cost-effective alternatives, particularly for research and smaller organizations, while commercial solutions provide advanced functionalities and support. The increasing availability of cloud-based solutions is blurring the lines between these segments, with hybrid models emerging that combine the benefits of both. Future growth will be significantly influenced by collaborations between software providers and satellite imagery providers, fostering a more integrated ecosystem and streamlining the data acquisition and processing workflow. The market will continue to benefit from advancements in satellite technology, producing higher-resolution, more frequent, and more affordable imagery.

  16. m

    Processed bathymetry data (ESRI ASCII grids) acquired with a ship-mounted...

    • marine-geo.org
    Updated 2022
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    Humfrey Melling; Scott Youngblut (2022). Processed bathymetry data (ESRI ASCII grids) acquired with a ship-mounted sonar system in 2019 on the continental slope of the Canadian Beaufort Sea [Dataset]. http://doi.org/10.26022/IEDA/330278
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    application/vnd.esri-asciigridAvailable download formats
    Dataset updated
    2022
    Dataset provided by
    Marine Geoscience Data System (MGDS)
    Authors
    Humfrey Melling; Scott Youngblut
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Area covered
    Description

    Abstract: This high-resolution gridded bathymetry data set was acquired with a ship-mounted Kongsberg EM2045 Multibeam sonar system in 2019. The file is in ESRI ASCII grid format, is projected in UTM coordinates (Zone 8N), and was processed using the open-source MB-System multibeam sonar processing software. The grid has 4-meter horizontal resolution.The survey mission was conducted during CCGS Sir Wilfrid Laurier IOS cruise 2019-090 in the Beaufort Sea (Cruise Chief Scientist - Humfrey Melling, Department of Fisheries and Oceans Canada; project PI - Scott Youngblut, Canadian Hydrographic Service). Data were acquired as part of a collaborative research project between MBARI, the Geological Survey of Canada, and Department of Fisheries and Oceans Canada.

  17. U

    2 meter Arc Raster grid of bathymetry acquired using a SEA Ltd. SWATHplus-H...

    • data.usgs.gov
    • search.dataone.org
    • +5more
    Updated Jan 6, 2025
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    U.S. Geological Survey (2025). 2 meter Arc Raster grid of bathymetry acquired using a SEA Ltd. SWATHplus-H interferometric sonar within Barnegat Bay New Jersey by the U.S. Geological Survey in 2011, 2012, and 2013 (Esri binary grid, UTM 18N, WGS 84) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:e2442e04-4360-4135-8fca-a536ed50529b
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    Dataset updated
    Jan 6, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Nov 1, 2011 - Sep 16, 2013
    Area covered
    New Jersey, Barnegat Bay
    Description

    Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S. Geological Survey (USGS) in partnership with the New Jersey Department of Environmental Protection. This narrow estuary is the drainage for the Barnegat Watershed and flushed by just three inlets connecting it to the Atlantic Ocean, is experiencing degraded water quality, algal blooms, loss of seagrass, and increases in oxygen -depletion events, seaweed, stinging nettles, and brown tide. The scale of the estuary and the scope of the problems within it necessitate a multidisciplinary approach that includes characterizing its physical characteristics (for example, depth, magnitude and direction of tidal currents, distribution of seafloor and subseafloor sediment) and modeling how the physical characteristics interact to affect the estuary's water quality. Scientists from USGS Coastal and Marine Geology Program offices i ...

  18. d

    Locations of photographs acquired using a SEABed Observation and Sampling...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Locations of photographs acquired using a SEABed Observation and Sampling System (SEABOSS) within Barnegat Bay New Jersey by the U.S. Geological Survey in 2012, and 2013 (Esri point shapefile, Geographic, WGS 84) [Dataset]. https://catalog.data.gov/dataset/locations-of-photographs-acquired-using-a-seabed-observation-and-sampling-system-seaboss-w
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    New Jersey, Barnegat Bay
    Description

    Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S. Geological Survey (USGS)in partnership with the New Jersey Department of Environmental Protection. This narrow estuary is the drainage for the Barnegat Watershed and flushed by just three inlets connecting it to the Atlantic Ocean, is experiencing degraded water quality, algal blooms, loss of seagrass, and increases in oxygen-depletion events, seaweed, stinging nettles, and brown tide. The scale of the estuary and the scope of the problems within it necessitate a multidisciplinary approach that includes characterizing its physical characteristics (for example, depth, magnitude and direction of tidal currents, distribution of seafloor and subseafloor sediment) and modeling how the physical characteristics interact to affect the estuary's water quality. Scientists from USGS Coastal and Marine Geology Program offices in Woods Hole, Massachusetts, and St. Petersburg, Florida, began mapping the seafloor of the Barnegat Bay-Little Egg Harbor estuary in November 2011 and completed in September 2013. With funding from the New Jersey Department of Environmental Protection and logistical support from the USGS New Jersey Water Science Center, they collected data with a suite of geophysical tools, including swath bathymetric sonar for measuring seafloor depth, a sidescan sonar for collecting acoustic-backscatter data (which provides information about seafloor texture and sediment type), subbottom profiler for imaging sediment layers beneath the floor of the estuary, and sediment samples with bottom photographs for ground validation of the acoustic data. 2011-041-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-041-FA 2012-003-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-003-FA 2013-014-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2013-014-FA 2013-030-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2013-030-FA

  19. d

    NOAA ESRI Geotiff- 2m Multibeam Bathymetry of NPS's Salt River Bay National...

    • datadiscoverystudio.org
    Updated Feb 7, 2018
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    (2018). NOAA ESRI Geotiff- 2m Multibeam Bathymetry of NPS's Salt River Bay National Historical Park and Ecological Reserve, St. Croix, US Virgin Islands, Project NF-05-05, 2005, UTM 20 NAD83 (NCEI Accession 0131860). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/bf9b0f1e7c6d48b9b3a1becaaf356cec/html
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    Dataset updated
    Feb 7, 2018
    Description

    description: This dataset contains an ESRI Geotiff with 2 meter cell size representing the bathymetry of the a portion of the NPS's Salt River Bay National Historical Park and Ecological Reserve, north of St. Croix, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.; abstract: This dataset contains an ESRI Geotiff with 2 meter cell size representing the bathymetry of the a portion of the NPS's Salt River Bay National Historical Park and Ecological Reserve, north of St. Croix, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

  20. i

    Processed Gridded (ESRI ASCII format) Submersible Bathymetry Data from the...

    • get.iedadata.org
    • datadiscoverystudio.org
    • +2more
    ascii:esri v.1, xml
    Updated Dec 4, 2013
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    default publisher (2013). Processed Gridded (ESRI ASCII format) Submersible Bathymetry Data from the Gulf of Mexico acquired during the Atlantis expedition AT18-03 (2010) [Dataset]. http://doi.org/10.1594/IEDA/320815
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    ascii:esri v.1, xmlAvailable download formats
    Dataset updated
    Dec 4, 2013
    Dataset provided by
    default publisher
    Description

    This data set was acquired with a Reson SeaBat 7125 Multibeam Sonar system on the AUV Sentry during Atlantis expedition AT18-03 conducted in 2010 (Chief Scientist: Dr. Charles Fisher). These data files are of ESRI ASCII Grid format and include gridded Bathymetry data and were processed after data collection. Data were acquired as part of the project(s): Acute Response of Benthic Hard Bottom Communities to Oil Exposure in the Deep Gulf of Mexico.

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U.S. Forest Service (2025). Purchase Units under the Weeks Law (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/purchase-units-under-the-weeks-law-feature-layer-2b611
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Purchase Units under the Weeks Law (Feature Layer)

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Dataset updated
Jul 11, 2025
Dataset provided by
U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
Description

A unit designated by the Secretary of Agriculture or previously approved by the National Forest Reservation Commission for purposes of Weeks Law acquisition. Metadata

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