This Regional Water Table Surface Contours Upper Glacial Drift Lower Peninsula is a generalized water table surface created by using the existing Wellogic water well database as of March 2021 and using just wells screened in the upper portion of the glacial drift. The elevation of the reported static water level (SWL field) reported on the well logs was calculated by subtracting it from the elevation at each well which was based on a 10-meter DEM. The data also incorporated the elevations of the Great Lakes Shorelines and the elevation of hydraulically appropriate surface water bodies (NHD Plus) that appear to be connected to the regional aquifer system and not perched above the regional water table surface. Contours were derived at a 10 feet contour interval. The original data was mapped for the entire lower peninsula. This Kent County data was clipped out of the peninsula data. The fields found in this dataset are:Field NameDescriptionIdUnique integer in long integer formatContourGroundwater elevation value (feet above mean sea level) in double precision formatContour1Groundwater elevation value (feet above mean sea level) in long integer formatINDEXValues in long integer format that allow different index contours to be flagged, labeled, queried, and/or symbolized.INDEX10Values in long integer format that allow different index contours to be flagged, labeled, queried, and/or symbolized.INDEX5Values in long integer format that allow different index contours to be flagged, labeled, queried, and/or symbolized.Shape_LengthLength of line in feet in double precision format This data is used in the North Kent Study Area Data Summary Web App (Item Details). You can find more information about the North Kent Study Area by visiting the House Street Disposal Area webpage or the Rockford Tannery webpage on the Michigan PFAS Action Response Team (MPART) website. For questions about this content, reach out to Leah Gies, GiesL1@Michigan.gov. :)

This feature class was developed primarily in support of the County's parcel mapping needs which include assessment functions and spatial analysis. The information was compiled from a number of sources including recorded deeds, filed maps, surveys and other public records and data. Users of this data should consult the information sources listed above for verification of the information.

MD/PA Sandy Supplemental Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G14PD00397 Woolpert Order No. 74333 CONTRACTOR: Woolpert, Inc. This task is for a high resolution data set of lidar covering approximately 1,845 square miles. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. Coastal tiles 18SVH065720 and 8SVH095690 contain no lidar points as they exist completely in water. A DEM IMG was generated for these two tiles as the digitized hydro breakline assumed the data extent in the area. As such only 2568 LAS and Intensity files will be delivered along with 2570 DEM IMG's.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Kent/MD_kent_dem_ft/ImageServer

These data were automated to provide an accurate high-resolution historical shoreline of Kent Island, MD suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

This spatial data product was developed by the Municipality of Chatham-Kent as part of our efforts to better understand the impacts of climate change.Temperature data from local weather stations were used to determine which days from 2019 - 2023 qualified as heat events. Satellite imagery showing temperature at 30m resolution was obtained for seven of the identified heat event days. The values of the seven satellite temperature layers were combined to produce one single Land Surface Temperature data product that shows which areas throughout Chatham-Kent are the most predisposed to extreme temperatures during heat events.If you would like more information on how this layer was created, please send any inquiries to: GIS-Support@chatham-kent.caLast updated: 2024-01-01

These data provide an accurate high-resolution shoreline compiled from imagery of NORTHEAST CHESAPEAKE BAY, KENT ISLAND AND WYE RIVER, MD . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Co...

This imagery service is for viewing only, no downloading of the raster images available.

Parcel boundary from Kent County GIS Data Library, available at https://www.accesskent.com/GISLibrary/.This data is used in the North Kent Disposal Area PFAS web map. If you have questions regarding the North Kent Disposal Area site contact Karen Vorce at 616-439-8008 or vorcek@michigan.gov.

Kent and Essex patrol vessels log sightings of commercial fishing vessels at sea along with the activity of the vessel when it is sighted. Data is collected for the purposes of fishery management and risk based enforcement of the fleet. Time, date, position, vessel PLN, vessel name, gear type and activity are recorded. Data is then inputted into GIS so that the results can be spatially analysed.

'Franklin County 6 inch aerial photography was collected for Project Area 1 of Kentucky's Aerial Photography and Elevation Data program (KYAPED), Aerial photography related to this data was captured in late winter and early spring of 2012 as part of a collaborative effort among federal, state and local government agencies as well as educational entities in Kentucky. 'An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (Earth Resources Observation and Science Center (EROS)) were reprojected from: Projection: NAD_1983_StatePlane_Kentucky_FIPS_1600_Feet Resolution: 6 inch Type: 4 Band to: Standard Product Projection: NAD_1983_UTM_Zone_16N Standard Product Resolution: 0.1500 m Rows: 10000 Columns: 10000 and resampled to align to the U.S. National Grid (USNG) using The National Map. The naming convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Chip-level metadata are provided in HTML and XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The file format created was .jp2.

This data release contains information on hydraulic head in the near-surface aquifers at Dover Air Force Base, a 4,000-acre military installation located in Kent County, Delaware. The hydraulic-head data, collected by the U.S. Geological Survey (USGS) in cooperation with the U.S. Air Force Civil Engineer Center (AFCEC), are based on water-level measurements taken during three synoptic events: May 2020, April 2021, and September 2021. Hydrogeologic units represented in this dataset include the shallow surficial (SS), deep surficial (DS), and Frederica (FR) aquifers. Data are provided in comma-separated value (.csv) and georeferenced raster (.tif) file formats to facilitate mapping and analysis using a geographic information system (GIS) or other computer software. Data in the .csv file include USGS site identification number, local well identifier, well coordinates, aquifer designation, land-surface datum, well depth, synoptic group, water-level date and time, and hydraulic-head value. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

State of Maryland municipality boundary dataset.Maryland Department of Planning (MDP) maps annexations from municipalities. This dataset is created and maintained by the Maryland Department of Planning. These boundaries are not intended to serve as a legal description. Fields:MUN_NAME (Municipality Name): Name of Municipality located in Maryland.RESOLUTION_NUMBER (Resolution Number): Local Municipality Annexation Resolution Number.ANNEXATION_DATE (Annexation Date) (DD/MM/YYYY): The Annexation Date field shows when there's been a change in the boundary. This date is known as the “Effective Date” from the municipality. The date 1/1/1997 is used as a default date of when annexation changes were first indicated in the GIS layer and not necessarily of when it was actually annexed. If there's a date of 1/1/1997, it can be assumed that the annexation occurred on this date or before. For example, for Baltimore City, the city boundary was determined hundreds of years ago. Other than that default date, the date will show when the property was annexed. ACRES (GIS Acres): GIS calculated acresJURSCODE (Jurisdiction Code) – Four letter county code: ALLE (Allegany), ANNE (Anne Arundel), BACI (Baltimore City), BACO (Baltimore County), CALV (Calvert), CARO (Caroline), CARR (Carroll), CECI (Cecil), CHAR (Charles), DORC (Dorchester), FRED (Frederick), GARR (Garrett), HARF (Harford), HOWA (Howard), KENT (Kent), MONT (Montgomery), PRIN (Prince George’s) QUEE (Queen Anne’s), SOME (Somerset), STMA (St. Mary’s), TALB (Talbot), WASH (Washington), WICO (Wicomico), WORC (Worcester).

This layer shows the existing water mains prior to installation of new municipal water mains for the North Kent Study Area. This data is used in the North Kent Disposal Area PFAS web map.The fields found in this dataset are:Field NameDescriptionLocationLocations of water main: City of Rockford or Plainfield TownshipYou can find more information about the North Kent Study Area by visiting the House Street Disposal Area webpage or the Rockford Tannery webpage on the Michigan PFAS Action Response Team (MPART) website. For questions about this content, reach out to Leah Gies, GiesL1@Michigan.gov.This data was provided to the Michigan Department of Environment, Great Lakes, and Energy (EGLE) by the consulting firm AECOM.

Easements dataset current as of 2000. MALPF Easements and Districts, MET Easements, ESLC Easements, Rural Legacy Easements, Other perpetual easements.

This layer displays the filter area boundaries within the North Kent Study Area: Area 5, Area 6, Area 11, Area 12, and Area 19. Filter Areas are defined in the February 19, 2020 Consent Decree to be areas in the North Kent Study Area where municipal water will not be extended as a requirement of the Consent Decree. This data is used in the North Kent Study Area Data Summary Web App, which displays environmental sampling data that has been collected as part of Wolverine World Wide’s and EGLE’s per-and poly fluoroalkyl (PFAS) assessment activities in the North Kent Study Area. This is a static dataset and no maintenance or updates are expected.The fields found in this dataset are:Label (Name of filter area: Area 5, Area 6, Area 11, Area 12, or Area 19)You can find more information about the North Kent Study Area by visiting the House Street Disposal Area webpage or the Rockford Tannery webpage on the Michigan PFAS Action Response Team (MPART) website. For questions about this content, reach out to Leah Gies, GiesL1@Michigan.gov.This data was provided to the Michigan Department of Environment, Great Lakes, and Energy (EGLE) by the consulting firm AECOM.

Conservation planning and implementation require identifying pertinent habitats and locations where protection and management may improve viability of targeted species. The winter range of Bicknell’s Thrush (Catharus bicknelli), a threatened Nearctic-Neotropical migratory songbird, is restricted to the Greater Antilles. We analyzed winter records from the mid-1970s to 2009 to quantitatively evaluate winter distribution and habitat selection. Additionally, we conducted targeted surveys in Jamaica (n = 433), Cuba (n = 363), Dominican Republic (n = 1,000), Haiti (n = 131) and Puerto Rico (n = 242) yielding 179 sites with thrush presence. We modeled Bicknell’s Thrush winter habitat selection and distribution in the Greater Antilles in Maxent version 3.3.1. using environmental predictors represented in 30 arc second study area rasters. These included nine landform, land cover and climatic variables that were thought a priori to have potentially high predictive power. We used the average training gain from ten model runs to select the best subset of predictors. Total winter precipitation, aspect and land cover, particularly broadleaf forests, emerged as important variables. A five-variable model that contained land cover, winter precipitation, aspect, slope, and elevation was the most parsimonious and not significantly different than the models with more variables. We used the best fitting model to depict potential winter habitat. Using the 10 percentile threshold (>0.25), we estimated winter habitat to cover 33,170 km squared, nearly 10% of the study area. The Dominican Republic contained half of all potential habitat (51%), followed by Cuba (15.1%), Jamaica (13.5%), Haiti (10.6%), and Puerto Rico (9.9%). Nearly one-third of the range was found to be in protected areas. By providing the first detailed predictive map of Bicknell’s Thrush winter distribution, our study provides a useful tool to prioritize and direct conservation planning for this and other wet, broadleaf forest specialists in the Greater Antilles.

See full Data Guide here. This layer includes polygon features that depict protected open space for towns of the Protected Open Space Mapping (POSM) project, which is administered by the Connecticut Department of Energy and Environmental Protection, Land Acquisition and Management. Only parcels that meet the criteria of protected open space as defined in the POSM project are in this layer. Protected open space is defined as: (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non-facility-based outdoor recreation, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities. Includes protected open space data for the towns of Andover, Ansonia, Ashford, Avon, Beacon Falls, Canaan, Clinton, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bridgewater, Bolton, Brookfield, Brooklyn, Canterbury, Canton, Chaplin, Cheshire, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Goshen, Granby, Griswold, Groton, Guilford, Haddam, Hampton, Hartford, Hebron, Kent, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Monroe, Montville, Morris, New Britain, New Canaan, New Fairfield, New Milford, New Hartford, Newington, Newtown, Norfolk, North, Norwich, Preston, Ridgefield, Shelton, Stonington, Oxford, Plainfield, Plainville, Pomfret, Portland, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Sterling, Suffield, Thomaston, Thompson, Tolland, Torrington, Union, Vernon, Wallingford, Windham, Warren, Washington, Waterbury, Watertown, West Hartford, Westbrook, Weston, Wethersfield, Willington, Wilton, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. Additional towns are added to this list as they are completed. The layer is based on information from various sources collected and compiled during the period from March 2005 through the present. These sources include but are not limited to municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions as of the date of research at each city or town hall. The Protected Open Space layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town Assessor's lot numbering system, and system-defined (automatically generated) fields. The Protected Open Space layer has an accompanying table containing more detailed information about each feature (parcel). This table is called Protected Open Space Dat, and can be joined to Protected Open Space in ArcMap using the parcel ID (PAR_ID) field. Detailed information in the Protected Open Space Data attribute table includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the unique parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, and acreage. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygons that represent the best available locational information, and are "best fit" to the land base available for each. The Connecticut Department of Environmental Protection's (CTDEP) Permanently Protected Open Space Phase Mapping Project Phase 1 (Protected Open Space Phase1) layer

This dataset identifies areas where the distribution of Great Crested Newts (GCN) has been categorised into district zones relating to GCN occurrence and the level of impact development is likely to have on this species. Red zones contain key populations of GCN, which are important on a regional, national or international scale and include designated Sites of Special Scientific Interest for GCN. Amber zones contain main population centres for GCN and comprise important connecting habitat that aids natural dispersal. Green zones contain sparsely distributed GCN and are less likely to contain important pathways of connecting habitat for this species. White zones contain no GCN. However, as most of England forms the natural range of GCN, white zones are rare and will only be used when it is certain that there are no GCN.Full metadata can be viewed on data.gov.uk.

Two, Four, Ten and Twenty Foot contour lines for the City of Kent and surrounding area.