18 datasets found
  1. a

    Sections

    • data-pascocounty.opendata.arcgis.com
    Updated Feb 25, 2025
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    Pasco County BOCC (2025). Sections [Dataset]. https://data-pascocounty.opendata.arcgis.com/datasets/sections
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    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Pasco County BOCC
    Area covered
    Description

    This Map service is the replacement for the original PascoBase Map Service. It has been changed to 27 source data, WebMercator Projection, and ArcPro runtime. It should be used to replace the original PascoView/PascoBase. The service contents have not been changed at all.

  2. U

    GIS shapefile and related summary data describing irrigated agricultural...

    • data.usgs.gov
    Updated Feb 24, 2024
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    Richard Marella; Joann Dixon; Kyle Christesson (2024). GIS shapefile and related summary data describing irrigated agricultural land-use in Citrus, Hernando, Pasco, and Sumter Counties, Florida for 2019 [Dataset]. http://doi.org/10.5066/P9B1LAX0
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    Dataset updated
    Feb 24, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Richard Marella; Joann Dixon; Kyle Christesson
    License

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

    Time period covered
    Jan 1, 2019 - Dec 31, 2019
    Area covered
    Sumter County, Florida
    Description

    The GIS shapefile and summary tables provide irrigated agricultural land-use for Citrus, Hernando, Pasco, and Sumter Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Citrus, Hernando, Pasco, and Sumter Counties, Florida. A map image of the shapefile is provided in the attachment.

  3. a

    CHHA CP

    • data-pascocounty.opendata.arcgis.com
    Updated Sep 21, 2023
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    Pasco County BOCC (2023). CHHA CP [Dataset]. https://data-pascocounty.opendata.arcgis.com/datasets/chha-cp/about
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    Dataset updated
    Sep 21, 2023
    Dataset authored and provided by
    Pasco County BOCC
    Area covered
    Description

    The data illustrates the height of possible storm surge flooding under certain scenarios, and do not account for erosion, subsidence, sea-level change or future construction. Water levels are based on storm surge scenarios in the referenced SLOSH MOM tide scenario. The data, maps, and information provided should only be used as a tool for general education/awareness of the storm surge hazard at a city/community level (not for a parcel level/grid cell assessment). The SLOSH MOM storm surge risk data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps. This map should not be used to replace the maps used for hurricane evacuation zones. Hurricane evacuation zones are drawn at a local and state level and consider additional information and specific criteria for a particular region in addition to the storm surge hazard. Users are urged to consult local officials for flood risk inside the hatched areas marked as leveed areas in the map. The data and maps in this tool are provided "as is", without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of these data is assumed by the user. This tool should be used strictly as a planning reference and storm surge risk awareness tool and not for navigation, permitting, legal, or regulatory purposes. Any conclusions drawn from the analysis of this information are not the responsibility of the National Weather Service, National Hurricane Center, Office for Coastal Management, or its partners.

  4. K

    Pasco County, Florida Watersheds

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 22, 2019
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    Pasco County, Florida (2019). Pasco County, Florida Watersheds [Dataset]. https://koordinates.com/layer/102447-pasco-county-florida-watersheds/
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    pdf, mapinfo mif, csv, kml, dwg, mapinfo tab, geopackage / sqlite, geodatabase, shapefileAvailable download formats
    Dataset updated
    May 22, 2019
    Dataset authored and provided by
    Pasco County, Florida
    Area covered
    Description

    Geospatial data about Pasco County, Florida Watersheds. Export to CAD, GIS, PDF, CSV and access via API.

  5. a

    Pasco Shaded Relief Map

    • data-cityofpasco.opendata.arcgis.com
    Updated May 21, 2019
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    City of Pasco (2019). Pasco Shaded Relief Map [Dataset]. https://data-cityofpasco.opendata.arcgis.com/maps/6cf94087b18946fda95a66cd9881e268
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    Dataset updated
    May 21, 2019
    Dataset authored and provided by
    City of Pasco
    Area covered
    Description

    Shaded relief data created in 2019 using 2018 terrain data for Pasco, WA.

  6. a

    Subdivisions

    • arcgis.com
    • data-pascocounty.opendata.arcgis.com
    Updated Feb 25, 2025
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    Pasco County BOCC (2025). Subdivisions [Dataset]. https://www.arcgis.com/sharing/oauth2/social/authorize?socialLoginProviderName=google&oauth_state=aosIktmI76clABSqMV8_Rsw..iWAOhFYo3bZI_JvD1ZXnQkHY2Gae0eFDYLjkMgj_51DcSM3c49UYsnMeoZeE-gWO-QMHUqrFzoFFQrbPqMqt3N-pADXA_rI5unCyuMp4Co1eTf3SvF3yqQuGNVylBHdWszsKhAwRk-xUjesOCvzdOhEnS7EAjJRtgjZrlD3_M3wUpq4HenPveHX8gCDpVzT9ZcIEdfzYNzyZ0xKDM7BSq4dSbWe70Xrs6x6Do1OXyIDtd0hMOipsXCEcKO18ZmIm_KeEwbdnSU9VPxKmHpQL-rA0RObF4_FJWav-ZSL-R7ec9Dt91I7NCZERSXXfmOXZk-7mY_q9bgX02vUbIQmZWcaZ
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    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Pasco County BOCC
    Area covered
    Description

    Subdivision polygon feature class holds the subdivision boundaries for the Pasco County tax maps.

  7. d

    GIS shapefile: Citrus, Hernando, Pasco, and Sumter Counties, Florida...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). GIS shapefile: Citrus, Hernando, Pasco, and Sumter Counties, Florida irrigated agricultural land-use from January through December 2019 [Dataset]. https://catalog.data.gov/dataset/gis-shapefile-citrus-hernando-pasco-and-sumter-counties-florida-irrigated-agricultural-lan
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Florida
    Description

    This data set consists of a detailed digital map of the extent of fields and a summary of the irrigated acreage for the period between January and December 2019 compiled for Citrus, Hernando, Pasco, and Sumter Counties, Florida. Attributes for each field include a general or specific crop type, irrigation system, and primary water source.

  8. S

    Surveying and Mapping Services Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 26, 2025
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    Archive Market Research (2025). Surveying and Mapping Services Report [Dataset]. https://www.archivemarketresearch.com/reports/surveying-and-mapping-services-562590
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    ppt, pdf, docAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The global surveying and mapping services market is experiencing robust growth, driven by increasing infrastructure development, urbanization, and the rising adoption of advanced technologies like GIS, LiDAR, and drones. This market is projected to reach a substantial size, with a Compound Annual Growth Rate (CAGR) indicating a significant expansion throughout the forecast period (2025-2033). While precise figures for market size and CAGR are not provided, based on industry analysis of similar sectors exhibiting comparable growth trajectories, a reasonable estimation suggests a market size exceeding $100 billion by 2033, with a CAGR of around 7-8%. This growth is fueled by several key drivers, including the burgeoning need for precise geospatial data in various sectors like construction, agriculture, mining, and environmental management. Government initiatives promoting infrastructure development and smart city projects further contribute to this market expansion. The market is segmented by service type (e.g., land surveying, hydrographic surveying, aerial mapping), technology used, and end-user industries. Leading players like PASCO Corporation, Fugro, AECOM, and Stantec are leveraging technological advancements and strategic partnerships to maintain their market share and expand their service offerings. However, challenges such as fluctuating raw material prices, stringent regulatory frameworks, and skilled labor shortages could potentially restrain market growth in certain regions. The increasing availability of low-cost satellite imagery and the emergence of innovative mapping solutions present both opportunities and competitive pressures within the industry. The adoption of cloud-based solutions for data storage and processing is expected to gain significant traction, further shaping the market landscape in the years to come. Regional variations in market growth are anticipated, with developed economies experiencing more moderate growth compared to developing nations with rapid infrastructure development.

  9. U

    UAV Aerial Survey Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 11, 2025
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    Archive Market Research (2025). UAV Aerial Survey Service Report [Dataset]. https://www.archivemarketresearch.com/reports/uav-aerial-survey-service-55897
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The global UAV Aerial Survey Services market is experiencing robust growth, driven by increasing demand across diverse sectors. Technological advancements in drone technology, offering higher resolution imagery and improved data processing capabilities, are significantly contributing to this expansion. The market's versatility, providing cost-effective and efficient solutions for various applications, further fuels its growth. Specific sectors like construction, agriculture, and energy are key drivers, utilizing UAV surveys for site mapping, precision agriculture, pipeline inspections, and environmental monitoring. While regulatory hurdles and data security concerns present challenges, the market is overcoming these limitations through the development of standardized operating procedures and robust data encryption techniques. Assuming a conservative CAGR of 15% (a reasonable estimate given the rapid technological advancements and increasing adoption rates in this sector), and a 2025 market size of $2 billion, the market is projected to reach approximately $4.2 Billion by 2033. This substantial growth is further fueled by the increasing affordability and accessibility of UAV technology, enabling more businesses to leverage aerial survey services. The segmentation of the UAV Aerial Survey Services market reveals that orthophoto and oblique image services are widely utilized, catering to diverse application needs. Forestry and agriculture are dominant sectors, with construction, power and energy, and oil & gas industries rapidly adopting this technology. Regional analysis highlights strong growth in North America and Asia-Pacific, driven by significant investments in infrastructure development and agricultural modernization. Europe follows closely, spurred by government initiatives promoting sustainable development and environmental monitoring. The competitive landscape includes both established players like Kokusai Kogyo and Zenrin, and emerging specialized companies, indicating a dynamic and competitive market with potential for further consolidation and innovation. The continued development of advanced data analytics capabilities, integrated with UAV imagery, will create new opportunities and drive market expansion.

  10. a

    Trails

    • data-pascocounty.opendata.arcgis.com
    • data-king-george.opendata.arcgis.com
    • +1more
    Updated Sep 21, 2023
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    Pasco County BOCC (2023). Trails [Dataset]. https://data-pascocounty.opendata.arcgis.com/maps/pascocounty::trails
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    Dataset updated
    Sep 21, 2023
    Dataset authored and provided by
    Pasco County BOCC
    Area covered
    Description

    REQUIRED: A brief narrative summary of the data set.

  11. a

    Water Lateral

    • hub.arcgis.com
    • data-cityofpasco.opendata.arcgis.com
    • +1more
    Updated Apr 23, 2020
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    City of Pasco (2020). Water Lateral [Dataset]. https://hub.arcgis.com/maps/CityofPasco::water-lateral-1
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    Dataset updated
    Apr 23, 2020
    Dataset authored and provided by
    City of Pasco
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Water Distribution Network Data

  12. a

    Tampa, Florida 5-meter Bathymetry 1 of 2 - Gulf of Mexico (GCOOS)

    • hub.arcgis.com
    • gisdata.gcoos.org
    Updated Aug 22, 2019
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    jeradk18@tamu.edu_tamu (2019). Tampa, Florida 5-meter Bathymetry 1 of 2 - Gulf of Mexico (GCOOS) [Dataset]. https://hub.arcgis.com/maps/f9ed4dd02c2f4c59bd727efe71b03eef
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    Dataset updated
    Aug 22, 2019
    Dataset authored and provided by
    jeradk18@tamu.edu_tamu
    Area covered
    Description

    This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. Because the WFO boundaries can cover large areas, the WFO DEM was divided into smaller DEMs to ensure more manageable file sizes. The Tampa (FL) WFO DEM was split into two smaller DEMs. They are divided along county lines and are: 1. Tampa (FL) WFO - Citrus, Hernando, Pasco, Pinellas, and Hillsborough Counties 2. Tampa (FL) WFO - Manatee, Sarasota, Charlotte, and Lee CountiesThis is Tampa Bay file 1 of 2. This metadata record describes the DEM for Tampa (FL) WFO - Citrus, Hernando, Pasco, Pinellas, and Hillsborough Counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Citrus, Hernando, Pasco, Pinellas, and Hillsborough counties, that met project specifications.The DEM is derived from LiDAR datasets collected for the Florida Department of Emergency Management (FDEM) and the Southwest Florida Water Management District (SWFWMD). The FDEM LiDAR data for Manatee, Sarasota, Charlotte and Lee Counties was collected in 2007 and 2008. Small portions of Manatee and Charlotte Counties were collected in 2005. Hydrographic breaklines used in the creation of the DEM were obtained from FDEM and SWFWMD. In some cases, the National Wetlands Inventory and National Hydrography Dataset were used to supplement breaklines from FDEM and SWFWMD. The DEMs are hydro flattened such that water elevations are less than or equal to 0 meters.The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 5 meters.The NOAA Coastal Services Center has developed high-resolution digital elevation models (DEMs) for use in the Center's Sea Level Rise And Coastal Flooding Impacts internet mapping application. These DEMs serve as source datasets used to derive data to visualize the impacts of inundation resulting from sea level rise along the coastal United States and its territories.The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

  13. a

    Pasco Tube Counts 2016

    • hub.arcgis.com
    • data-cityofpasco.opendata.arcgis.com
    Updated Feb 19, 2019
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    City of Pasco (2019). Pasco Tube Counts 2016 [Dataset]. https://hub.arcgis.com/maps/CityofPasco::pasco-tube-counts-2016
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    Dataset updated
    Feb 19, 2019
    Dataset authored and provided by
    City of Pasco
    Area covered
    Description

    ATTRIBUTE KEYAM PK HR-Hour with the highest amount of vehicles during AM intervalAM PK VOL- Maximum vehicles during AM Peak HRAM PHF- Peak hour factor(PHF): is the hourly volume during the maximum-volume hour of the day divided by the peak 15-minute flow rate within the peak hour; a measure of traffic demand fluctuations within the peak hourPM PK HR- Hour with the highest amount of vehicles during PM intervalPM PK Vol-Maximum vehicles during PM Peak HRPM PHF- Peak hour factor (PHF): is the hourly volume during the maximum-volume hour of the day divided by the peak 15-minute flow rate within the peak hour; a measure of traffic demand fluctuations within the peak hourDir Split: Directional distribution of hourly volumes expressed in percentagespctSU- FHWA Scheme F- Classes 4-7pctCB-FHWA Scheme F-Classes 8-13pctHV-FHWA Scheme F-Classes 4-13AVG SPD: Average speed of all vehiclesSpd 50pct: 50th percentile speedsSpd 85pct: 85th percentile speeds10mph pace: Band of travel speeds containing the largest number of observed vehicles

  14. a

    Village Of Pasadena Hills

    • data-pascocounty.opendata.arcgis.com
    Updated Apr 22, 2024
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    Pasco County BOCC (2024). Village Of Pasadena Hills [Dataset]. https://data-pascocounty.opendata.arcgis.com/maps/pascocounty::village-of-pasadena-hills
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    Dataset updated
    Apr 22, 2024
    Dataset authored and provided by
    Pasco County BOCC
    Area covered
    Description

    REQUIRED: A brief narrative summary of the data set.

  15. a

    Emergency Service Zone

    • hub.arcgis.com
    • data-cityofpasco.opendata.arcgis.com
    Updated Jan 16, 2020
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    City of Pasco (2020). Emergency Service Zone [Dataset]. https://hub.arcgis.com/maps/CityofPasco::emergency-service-zone
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    Dataset updated
    Jan 16, 2020
    Dataset authored and provided by
    City of Pasco
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Pasco Fire Department Data

  16. a

    Data from: Storm Water Outlet

    • hub.arcgis.com
    • data-cityofpasco.opendata.arcgis.com
    Updated Apr 23, 2020
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    City of Pasco (2020). Storm Water Outlet [Dataset]. https://hub.arcgis.com/maps/CityofPasco::storm-water-outlet-1
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    Dataset updated
    Apr 23, 2020
    Dataset authored and provided by
    City of Pasco
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Storm Water Network Data

  17. a

    Fire Maintenance Zone

    • hub.arcgis.com
    • data-cityofpasco.opendata.arcgis.com
    Updated Jan 16, 2020
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    City of Pasco (2020). Fire Maintenance Zone [Dataset]. https://hub.arcgis.com/maps/CityofPasco::fire-maintenance-zone/about
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    Dataset updated
    Jan 16, 2020
    Dataset authored and provided by
    City of Pasco
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Pasco Fire Department Data

  18. a

    Water Meter

    • hub.arcgis.com
    • data-cityofpasco.opendata.arcgis.com
    Updated Apr 23, 2020
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    City of Pasco (2020). Water Meter [Dataset]. https://hub.arcgis.com/maps/CityofPasco::water-meter
    Explore at:
    Dataset updated
    Apr 23, 2020
    Dataset authored and provided by
    City of Pasco
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Water Distribution Network Data

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Pasco County BOCC (2025). Sections [Dataset]. https://data-pascocounty.opendata.arcgis.com/datasets/sections

Sections

Explore at:
Dataset updated
Feb 25, 2025
Dataset authored and provided by
Pasco County BOCC
Area covered
Description

This Map service is the replacement for the original PascoBase Map Service. It has been changed to 27 source data, WebMercator Projection, and ArcPro runtime. It should be used to replace the original PascoView/PascoBase. The service contents have not been changed at all.

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