The official Zoning Map of Jersey City in pdf form is provided below. The latest version is dated 7/24/2025. Interactive Zoning Map

To illustrate zoning in Monmouth County.Contact:Eric Anderson;Monmouth County, New Jersey, GIS Division, Information Technology Services;(732) 431-7991 ext. 2194;eanderso@co.monmouth.nj.us

This layer contains links to online municipal zoning maps, zoning ordinances and zoning office contact information and known to the Department of Community Affairs as of March 9, 2022. These may not include all maps and ordinances currently in effect as the frequency of zoning map code updates varies by local government. The Department of Community Affairs cannot confirm the currentness or accuracy of these documents and provides these links as an information resource for the public. Questions about these maps and ordinances should be directed to the appropriate zoning officer or official.

This feature service incluses base and overlay zoning of Highland Park. It also includes redeveloment areas for Highland Park.

This was published from the repository on 11/3/2022.

This Open Geospatial Consortium (OGC) compliant Web Map Service (WMS) includes a mosaic of historical USGS topographic maps of New Jersey surveyed from 1881 to 1924. This product is to be used for reference purposes only. The original historical paper maps were distorted or damaged to varying degrees due to age and use. During visual testing, it appeared that spatial inaccuracies in the images exceed 200 feet in several locations. The digital product has not been corrected for distortion nor vertical displacement. Consequently, this product does not meet the National Standard for Spatial Data Accuracy (NSSDA). The mosaic was produced by scanning 15 minute (1:62,500 scale) historical USGS topographic paper maps at 600 dpi and saving them as Tagged Image File Format (TIFF) images. The scanned TIFFs have an approximate pixel resolution of 17 feet. The map images were georeferenced to a fishnet in their native coordinate system and then reprojected to NAD83 NJ State Plane coordinates for use in this service. In most client software, the default spatial reference system of the service will be Geographic Coordinates, WGS84. Several other coordinate systems are supported natively by the WMS (see Supplemental Information).

These rasters provide the local mean annual extreme low temperature from 1976 to 2005 in an 800m x 800m grid covering the USA (including Puerto Rico) based on interpolation of data from more than a thousand weather stations. Each _location's Plant Hardiness Zone is calculated based on classifying that temperature into 5 degree bands. The classified rasters are then used to create print and interactive maps. A complex algorithm was used for this edition of the USDA Plant Hardiness Zone Map (PHZM) to enable more accurate interpolation between weather reporting stations. This new method takes into account factors such as elevation changes and proximity to bodies of water, which enabled mapping of more accurate zones.Temperature station data for this edition of the USDA PHZM came from several different sources. In the eastern and central United States, Puerto Rico, and Hawaii, nearly all the data came from weather stations of the National Weather Service. In the western United States and Alaska, data from stations maintained by USDA Natural Resources Conservation Service, USDA Forest Service, U.S. Department of the Interior (DOI) Bureau of Reclamation, and DOI Bureau of Land Management also helped to better define hardiness zones in mountainous areas. Environment Canada provided data from Canadian stations, and data from Mexican stations came from the Global Historical Climate Network.All of these data were carefully examined to ensure that only the most reliable were used in the mapping. In the end, data from a total of 7,983 stations were incorporated into the maps. The USDA PHZM was produced with the latest version of PRISM, a highly sophisticated climate mapping technology developed at Oregon State University. The map was produced from a digital computer grid, with each cell measuring about a half a mile on a side. PRISM estimated the mean annual extreme minimum temperature for each grid cell (or pixel on the map) by examining data from nearby stations; determining how the temperature changed with elevation; and accounting for possible coastal effects, temperature inversions, and the type of topography (ridge top, hill slope, or valley bottom).Information on PRISM can be obtained from the PRISM Climate Group website (http://prism.oregonstate.edu).Once a draft of the map was completed, it was reviewed by a team of climatologists, agricultural meteorologists, and horticultural experts. If the zone for an area appeared anomalous to these expert reviewers, experts doublechecked for errors or biases.For example, zones along the Canadian border in the Northern Plains initially appeared slightly too warm to several members of the review team who are experts in this region. It was found that there were very few weather reporting stations along the border in the United States in that area. Data from Canadian reporting stations were added, and the zones in that region are now more accurately represented. In another example, a reviewer noted that areas along the relatively mild New Jersey coastline that were distant from observing stations appeared to be too cold. This was remedied by increasing the PRISM algorithm’s sensitivity to coastal proximity, resulting in a mild coastal strip that is more consistently delineated up and down along the shoreline.On the other hand, a reviewer familiar with Maryland’s Eastern Shore thought the zones there seemed too warm. The data were doublechecked and no biases were found; the zone designations remained unchanged.The zones in this edition were calculated based on 1976-2005 temperature data. Each zone represents the average annual extreme minimum temperature for an area, reflecting the temperatures recorded for each of the years 1976-2005. This does not represent the coldest it has ever been or ever will be in an area, but it reflects the average lowest winter temperature for a given geographic area for this time period. This average value became the standard for assigning zones in the 1960s. The previous edition of the USDA Plant Hardiness Zone Map, which was revised and published in 1990, was drawn from weather data from 1974 to 1986.A detailed explanation of the mapmaking process and a discussion of the horticultural applications of the new PHZM are available from the articles listed below.Daly, C., M.P. Widrlechner, M.D. Halbleib, J.I. Smith, and W.P. Gibson. 2012. Development of a new USDA Plant Hardiness Zone Map for the United States. Journal of Applied Meteorology and Climatology, 51: 242-264. Link to articleWidrlechner, M.P., C. Daly, M. Keller, and K. Kaplan. 2012. Horticultural Applications of a Newly Revised USDA Plant Hardiness Zone Map. HortTechnology, 22: 6-19. Link to article

This dataset represents the Zoning Base layer for the 25 municipalities in Middlesex County. This is the default zoning district. Where overlay zoning exists, this is the underlying zoning. The Middlesex County Zoning Base GIS dataset was developed to standardize zoning maps, which are legally adopted by municipalities, and thus exhibit varying levels of detail, accuracy, and currentness, and vary in style. For the Overlay Zoning, see the related Overlay Zoning in Middlesex County, NJ item. See metadata items for more information.This dataset is updated several times per year based on best available information available from municipalities in Middlesex County. For authoritative information, contact the municipality. Municipal governments designate and administer zoning in New Jersey. This data is for information only and final decision making should only occur after consulting with municipalities to confirm the information contained in this dataset.

This data set includes topography and backscatter intensity of the sea floor of the Hudson Shelf Valley, located offshore of New York and New Jersey. The data were collected with a multibeam sea floor mapping system on surveys conducted November 23 - December 3, 1996, October 26 - November 11, 1998, and April 6 - 30, 2000. The surveys were conducted using a Simrad EM 1000 multibeam echo sounder mounted aboard the Canadian Hydrographic Service vessel Frederick G. Creed. This multibeam system utilizes 60 electronically aimed receive beams spaced at intervals of 2.5 degrees that insonify a strip of sea floor up to 7.5 times the water depth (swath width of 100 to 200 m within the survey area). Maps derived from the mulitbeam observations show sea floor topography, shaded relief, and backscatter intensity (a measure of sea floor texture and roughness). The data are gridded at 12 m/pixel. THIS DATA SET IS PRELIMINARY; PUBLICATION OF A FINAL DATA SET IS PLANNED IN 2003

These are two land cover datasets derived from Landsat Thematic Mapper and Operational Land Imager (spatial resolution 30-m)Path 014 and Rows 032 and 033 surface reflectance data collected on July 14, 2011 and July 19, 2013, before and after Hurricane Sandy made landfall near Brigantine, New Jersey on October 29, 2012. The two land cover data sets provide a means of evaluating the effect of Hurricane Sandy of data sets collected at times that represent or approach peak vegetation growth. The most accurate results of the land cover classification are based on twelve classes, some of which occur adjacent to the marshes but not on the New Jersey intracoastal marshes. Twelve classes were used in the supervised maximum likelihood classification of the intracoastal marshes, three classes (forested wetlands, unconsolidated beach sediment and urban development areas) which occur only adjacent to the marshes, were masked out on the land cover maps. The twelve classes are based on the National Oceanic and Atmospheric Administration Coastal Change Analysis Program (C-CAP) and the New Jersey Department of Environmental Protection 2007 Land Use/Land Cover Data Set classes that could be identified on the Landsat TM surface reflectance bands 3-5 and Landsat OLI surface reflectance bands 4-6, and field work in 2014 and 2015. There is considerable confusion between classes due to the variation in the species and density of cover of vegetation, variation in the composition and density of the vegetation, variation in the composition and amount of the marsh substrate detected by the sensor, and the variation in tidal stage which strongly influences the surface reflectance of the pixel (Kearney et al. 2009). However, the identification of high marsh appears to be accurate based on field work validation. The high marsh contains one-to-three-meter-wide areas of low marsh that border the bays and lagoons and tidal creeks in the marshes, but that are too small to resolve with the Landsat sensors. Kearney, M.S., Stutzer, D.S., Turpie, K., and Stevenson, J.C. (2009) Spectral properties of marsh vegetation under inundation. Journal of Coastal Research 25: 1177-1186.

This dataset represents the Zoning Overlay layer for the 25 municipalities in Middlesex County. These districts are applied over one or more underlying base zoning districts, establishing supplementary zoning standards and criteria for covered properties in addition to the zoning standards and criteria of the underlying base zoning district. Overlay zoning districts may be used by the municipality as a means to promote specific types of development projects that are intended to meet specific community goals. They also may be implemented to protect special features such as wetlands, steep slopes, environmentally sensitive areas and/or historic buildings (etc.). An overlay zoning district can share common boundaries with base zoning boundaries or may cut across base zoning district boundaries. The Middlesex County Zoning Overlay GIS dataset was developed to standardize zoning maps, which are legally adopted by municipalities, and thus exhibit varying levels of detail, accuracy, and currentness, and vary in style. For the Zoning Base layer, see the related Base Zoning in Middlesex County, NJ item. See metadata items for more information.This dataset is updated several times per year based on best available information available from municipalities in Middlesex County. For authoritative information, contact the municipality. Municipal governments designate and administer zoning in New Jersey. This data is for information only and final decision making should only occur after consulting with municipalities to confirm the information contained in this dataset.

Aerial imagery is an essential tool for planning and analysis. It presents a comprehensive view of regional conditions. Having access to aerial imagery from various years provides the user with a chronological record of land use patterns. Aerials have been an important component of DVRPC's planning efforts for many years. They are also a popular source of information for consultants, developers, engineers, realtors, and the general public.

Orthoimagery consists of rectified or geometrically corrected aerial images that have been processed so that any distortions stemming from topographic relief and camera position are removed. This results in an accurate representation of the Earth's surface. Due to its uniform scale, distances between features can be measured on an orthoimage. Where these features touch the ground, they are shown in their true x and y map position.

Available for the years 2000 through 2020 in five-year increments

• Covers the entire 3,833 square mile DVRPC 9-county region (Bucks, Chester, Delaware, Montgomery, and Philadelphia counties in Pennsylvania and Burlington, Camden, Gloucester, and Mercer counties in New Jersey)
• The 2000 orthoimagery is grayscale with a 1.5 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
• The 2005 and 2010 orthoimagery is 3-band, natural color, with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
• The 2015 orthoimagery is 4-band (allows for display in either natural color or color infrared) with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'
• The 2000, 2005, 2010 and 2015 orthoimagery tiles are referenced to their respective State Plane map coordinate system (either NJ State Plane NAD83 or PA State Plane South Zone NAD83)
• Each orthoimagery tile covers approximately 1.6 square miles of land area; Using Geographic Information System (GIS) software, individual tiles can be viewed together as a seamless mosaic of a larger area
• The 2020 orthoimagery is 3-band, natural color with a 1 sq. ft. pixel resolution, a horizontal positional accuracy of +/-5', and a design scale of 1" = 200'; Available as county mosaics in JPEG 2000 format referenced to UTM Zone 18N - NAD83 (2011)

LC2001USGS_IN is a grid (30-meter cell size) showing 2001 land cover data in Indiana. This grid is a subset of the National Land Cover Data (NLCD 2001) data set. There are 15 categories of land use shown in this data set when the associated layer file (LC2001USGS_IN.LYR) is loaded.The following is excerpted from metadata provided by the USGS for the NLCD 2001:"The National Land Cover Database 2001 land cover layer for mapping zone 60 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA) Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2003) and http://www.mrlc.gov/mrlc2k.asp."The NLCD 2001 is created by partitioning the U.S. into mapping zones. A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edgematching features and the size requirement of Landsat mosaics. Mapping zone 60 encompasses whole or portions of several states in the mid-Atlantic region, including the states of New Jersey, Delaware, Maryland, Pennsylvania, Virginia, and the District of Columbia. Questions about the NLCD mapping zone 60 can be directed to the NLCD 2001 land cover mapping team at the USGS EROS Data Center (EDC), Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov."

A better understanding of sediment dynamics in coastal areas can be attained by mapping the surface sediment distribution and subsurface stratigraphy of the lower shoreface and inner-continental shelf. In 1995, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, began a program to produce geologic maps of the sea floor throughout the New York Bight Apex using high-resolution sidescan-sonar, subbottom profiling, and sediment sampling techniques. The goals of the investigation are to investigate the role that inner-shelf morphology and geologic framework play in the evolution of the coastal region.

The purpose of this project is to map the surficial geology of the sea floor of Historic Area Remediation Site (HARS) and changes in surficial characteristics over time. This GIS project presents multibeam and other data in a digital format for analysis and display by scientists, policy makers, managers and the general public.

This project presents maps of the sea floor in GIS format of the Historic Area Remedition Site (HARS), located offshore of New York and New Jersey. The data were collected with a multibeam sea floor mapping system on surveys conducted November 23 - December 3, 1996, October 26 - November 11, 1998, and April 6 - 30, 2000. The maps show sea floor topography, shaded relief, and backscatter intensity (a measure of sea floor texture and roughness) at a spatial resolution of 3 m/pixel, and locations of dredged material placed on the sea floor. The sea floor of the HARS, approximately 9 square nautical miles in area, is being remediated by placing at least a one-meter of clean dredged material on top of the existing surface sediments that exhibit varying degrees degradation resulting from previous disposal of dredged and other material. Comparison of the topography and backscatter intensity from the three surveys show changes in topography and surficial sediment properties resulting from placement of dredged material in 1996 and 1997 prior to designation of the HARS, as well as placement of material for remediation of the HARS. This study is carried out cooperatively by the U.S. Geological Survey and the U.S. Army Corps of Engineers.

This layer depicts the Municipal Zoning Boundaries of Sussex County. It was compiled from various scale zoning maps as provided by the townships.

This dataset includes the boundaries of areas that are regulated by adopted Redevelopment or Rehabilitation Plans. Adopted plans regulate financing incentives and land use and either supersede or overlay existing municipal zoning. This dataset includes but does not distinguish between: redevelopment with condemnation, redevelopment without condemnation, and rehabilitation areas. Note that this dataset does not represent Areas in Need of Redevelopment or Rehabilitation (that dataset is available from the New Jersey Department of Community Affairs).

The Meadowlands District was delineated for the Hackensack Meadowlands Reclamation and Development Act of 1969. It defines the area managed under the Master Plan developed by the New Jersey Meadowlands Commission (NJMC; formerly the Hackensack Meadowlands Development Commission). NJMC served as the zoning and planning agency for a 30.4-square-mile area along the Hackensack River covering parts of 14 municipalities in Bergen and Hudson Counties in New Jersey. Since the creation of these data, it has been merged into the NJ Sports and Exposition Authority.The District is represented in this layer by NJ Meadowlands boundary polygon, with exclusion areas in parts of Secaucus.

The Division, Atlantic Flyway Council, and US Fish and Wildlife Service cooperatively manage migratory game bird hunting seasons. This map delineates the area where sea ducks (scoters, long-tailed ducks, and eiders) can be hunted during the Special Sea Duck Season. The Special Sea Duck Season generally has different dates than the "regular" duck season in the Coastal Zone.

This layer informed and refined the Land Use Capability Zone Map (LUC Zone Map) by identifying regional multimodal opportunities throughout the Highlands transportation network. The purpose was to better understand the nature of regional development patterns, and to identify existing interfaces between land use and roadway-transit networks that may inform future land use intensity. Areas with existing development that are also served by multimodal transportation opportunities support RMP policies as lands potentially appropriate for development and redevelopment in support of smart growth principles.

There are seven sole-source aquifers (SSAs) in New Jersey. These are defined by the EPA as those aquifers that contribute more than 50 percent of the drinking water to a specific area and the water would be impossible to replace if the aquifer were contaminated. Sole-source aquifers are defined with guidelines set forth by the U.S. Environmental Protection Agency (EPA) as authorized in section 1424(e) of the Safe Drinking Water act of 1974. Any federally-funded project in an area that could affect ground-water in a sole-source aquifer must be reviewed by the US EPA. This 'project review area' includes the aquifer's 'recharge zone' and it's 'stream-flow source zone'. The recharge zone is the area through which water recharges the aquifer. The source zone is the upstream area that contributes recharge water to the aquifer. The EPA sometimes modifies the project review areas as published in the Federal Register in order to better protect zone as originally published. Most of New Jersey is covered by the seven SSAs and their project review areas. Descriptions of the SSAs can be found in Entity and Attribute information. This is based on notifications published in the Federal Register. The order of chronological approval is as follows: 1.) Buried Valley SSA 2.) Ridgewood SSA 3.) Rockaway SSA 4.) Highlands SSA 5.) Northwest New Jersey SSA 6.) Coastal Plain SSA 7.) Ramapo SSA The sole source aquifer program is a federal program administered by the Environmental Protection Agency under the Safe Drinking Water Act. All questions about the program should be addressed to them. EPA's reference for the sole source aquifers in New Jersey is at: https://www.epa.gov/region2/water/aquifer/ This data contains polygons of the sole-source aquifers for New Jersey that are approved as of December 2008. The coverage was built by the N.J. Geological Survey from standard GIS files of U.S. Geological Survey (USGS) hydrologic units, New Jersey state and municipal boundaries, and aquifers. Please reference this coverage as follows: Hoffman, J.L, 1998, USEPA-designated sole-source-aquifers in New Jersey: N.J. Geological Survey Digital Geodata Series DGS 98-6, Trenton.