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.

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

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk Information And supporting data used to develop the risk data. The primary risk; classificatons used are the 1-percent-annual-chance flood event, the 0.2-percent- annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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 Wetlands. Export to CAD, GIS, PDF, CSV and access via API.

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.

Contour data may be provided (not with all LiDAR data sets). This dataset is provided for visualization only and is not to be used for Digital Terrain Model construction

This metadata record describes the ortho & lidar mapping of Pasco County, FL. The mapping consists of lidar data collected using a Leica ALS-40 Lidar Sensor, contour generation, and production of natural color orthophotography with a 30-cm GSD using imagery collected with a Leica ADS-40 Aerial Digital Camera.

REQUIRED: A brief narrative summary of the data set.

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

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

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

The first draft of the shifted parcel layer using Dx Dy coefficients from the hand adjusted parcel layer. The DxDy coefficients were collected and mass loaded into the Spatial Adjustment Adjust Tool in groups of no larger than 43,000 control points per adjustment and then adjusted using the rubbersheet technique. The adjusted sections were then assembled into one cohesive parcel map for Pasco County, Florida

REQUIRED: A brief narrative summary of the data set.

Earthdata International was contracted to provide mapping services in Pasco County, Florida. Conventional aerial photography along with LIDAR observations were made. Earthdata subcontracted the ground survey tasks to Terrasurv.

This data is identical to the 2004 Pasco County collection already available in digital coast, however in 2008 this data was classified: Class 1 - unclassified Class...

This dataset (2020-2023) is a compilation of the Land Use/Land Cover datasets created by the 5 Water Management Districts in Florida based on imagery -- Northwest Florida Water Management District (NWFWMD) 2022.Bay (1/4/2022 – 3/24/2022), Calhoun (1/7/2022 – 1/18/2022), Escambia (11/13/2021 – 1/15/2021), Franklin (1/7/2022 – 1/18/2022), Gadsden (1/7/2022 – 1/16/2022), Gulf (1/7/2022 – 1/14/2022), Holmes (1/8/2022 – 1/18/2022), Jackson (1/7/2022 – 1/14/2022), Jefferson (1/7/2022 – 2/16/2022), Leon (February 2022), Liberty (1/7/2022 – 1/16/2022), Okaloosa (10/31/2021 – 2/13/2022), Santa Rosa (10/26/2021-1/17/2022), Wakulla (1/7/2022 – 1/14/2022), Walton (1/7/2022-1/14/2022), Washington (1/13/2022 – 1/19/2022).Suwannee River Water Management District (SRWMD) 2022-2023.(Alachua (12/27/2022-12/28/2022, Baker (1/6/2023-1/15/2023), Bradford (11/9/2021-11/16/2021), Columbia (12/17/2021-1/29/2022), Gilchrist (12/17/2021-1/29/2022), Levy (12/17/2021-1/29/2022), Suwannee (12/17/2021-1/29/2022), Union (11/9/2021-11/9/2021).(Dixie 12/17/2021-01/29/2022), (Hamilton 12/17/2021-01/29/2022), (Jefferson 01/07/2022-02/16/2022), (Lafayette 12/17/2021-01/29/2022), (Madison 12/17/2021-01/29/2022), (Taylor 12/17/2021-01/29/2022).Southwest Florida Water Management District (SWFWMD) 2023. South Florida Water Management District (SFWMD) 2021-2023.St. John's River Water Management District (SJRWMD) 2020.Year Flight Season Counties:2020 (Dec. 2019 - Mar 2020) Alachua, Baker, Clay, Flagler, Lake, Marion, Osceola, Polk, Putnam.2021 (Dec. 2020 - Mar 2021) Brevard, Indian River, Nassau, Okeechobee, Orange, St. Johns, Seminole, Volusia. 2022 (Dec. 2021 - Mar 2022) Bradford, Union. Codes are derived from the Florida Land Use, Cover, and Forms Classification System (FLUCCS-DOT 1999) but may have been altered to accommodate region differences by each of the Water Management Districts.

Geospatial data about Pasco County, Florida Land Use Land Cover (LULC). Export to CAD, GIS, PDF, CSV and access via API.

Overview:This document describes the 2021 accessibility data released by the Accessibility Observatory at the University of Minnesota. The data are included in the National Accessibility Evaluation Project for 2021, and this information can be accessed for each state in the U.S. at https://access.umn.edu/research/america. The following sections describe the format, naming, and content of the data files.Data Formats: The data files are provided in a Geopackage format. Geopackage (.gpkg) files are an open-source, geospatial filetype that can contain multiple layers of data in a single file, and can be opened with most GIS software, including both ArcGIS and QGIS.Within this zipfile, there are six geopackage files (.gpkg) structured as follows. Each of them contains the blocks shapes layer, results at the block level for all LEHD variables (jobs and workers), with a layer of results for each travel time (5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60 minutes). {MPO ID}_tr_2021_0700-0859-avg.gpkg = Average Transit Access Departing Every Minute 7am-9am{MPO ID}_au_2021_08.gpkg = Average Auto Access Departing 8am{MPO ID}_bi_2021_1200_lts1.gpkg = Average Bike Access on LTS1 Network{MPO ID}_bi_2021_1200_lts2.gpkg = Average Bike Access on LTS2 Network{MPO ID}_bi_2021_1200_lts3.gpkg = Average Bike Access on LTS3 Network{MPO ID}_bi_2021_1200_lts4.gpkg = Average Bike Access on LTS4 NetworkFor mapping and geospatial analysis, the blocks shape layer within each geopackage can be joined to the blockid of the access attribute data. Opening and Using Geopackages in ArcGIS:Unzip the zip archiveUse the "Add Data" function in Arc to select the .gpkg fileSelect which layer(s) are needed — always select "main.blocks" as this layer contains the Census block shapes; select any other attribute data layers as well.There are three types of layers in the geopackage file — the "main.blocks" layer is the spatial features layer, and all other layers are either numerical attribute data tables, or the "fieldname_descriptions" metadata layer. The numerical attribute layers are named with the following format:[mode]_[threshold]_minutes[mode] is a two-character code indicating the transport mode used[threshold] is an integer indicating the travel time threshold used for this data layerTo use the data spatially, perform a join between the "main.blocks" layer and the desired numerical data layer, using either the numerical "id" fields, or 15-digit "blockid" fields as join fields.

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

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Florida, West 1 digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Charlotte, Desoto, Glades, Hernando, Hillsborough, Manatee, Pasco, Pinellas, and Sarasota Counties. The DEM was produced from the following lidar data sets: 1. 2018 Florida Peninsular FDEM - Charlotte 2. 2018 Florida Peninsular FDEM - Desoto 3. 2018 Southwest FL Lidar (A, B, B TL) 4. 2018 Florida Peninsular FDEM - Glades 5. 2019 Florida Peninsular - Hernando 6. 2017 Hillsborough County Florida Lidar 7. 2018 Florida Peninsular FDEM - Manatee 8. 2018 Pasco County Florida Lidar 9. 2018 Florida Peninsular - Pinellas 10. 2018 Florida Peninsular FDEM - Sarasota 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 3 meters.