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.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
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.
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.
Geospatial data about Pasco County, Florida Watersheds. Export to CAD, GIS, PDF, CSV and access via API.
Shaded relief data created in 2019 using 2018 terrain data for Pasco, WA.
Subdivision polygon feature class holds the subdivision boundaries for the Pasco County tax maps.
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.
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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.
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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.
REQUIRED: A brief narrative summary of the data set.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Water Distribution Network Data
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.
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
REQUIRED: A brief narrative summary of the data set.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Pasco Fire Department Data
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Storm Water Network Data
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Pasco Fire Department Data
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Water Distribution Network Data
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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.