This data set consists of 6 classes of zoning features: zoning districts, special purpose districts, special purpose district subdistricts, limited height districts, commercial overlay districts, and zoning map amendments.

All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 202510

A 6-in resolution 8-class land cover dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset was developed as part of an updated urban tree canopy assessment and therefore represents a ''top-down" mapping perspective in which tree canopy overhanging features is assigned to the tree canopy class. The eight land cover classes mapped were: (1) Tree Canopy, (2) Grass\Shrubs, (3) Bare Soil, (4) Water, (5) Buildings, (6) Roads, (7) Other Impervious, and (8) Railroads. The primary sources used to derive this land cover layer were 2017 LiDAR (1-ft post spacing) and 2016 4-band orthoimagery (0.5-ft resolution). Object based image analysis was used to automate land-cover features using LiDAR point clouds and derivatives, orthoimagery, and vector GIS datasets -- City Boundary (2017, NYC DoITT) Buildings (2017, NYC DoITT) Hydrography (2014, NYC DoITT) LiDAR Hydro Breaklines (2017, NYC DoITT) Transportation Structures (2014, NYC DoITT) Roadbed (2014, NYC DoITT) Road Centerlines (2014, NYC DoITT) Railroads (2014, NYC DoITT) Green Roofs (date unknown, NYC Parks) Parking Lots (2014, NYC DoITT) Parks (2016, NYC Parks) Sidewalks (2014, NYC DoITT) Synthetic Turf (2018, NYC Parks) Wetlands (2014, NYC Parks) Shoreline (2014, NYC DoITT) Plazas (2014, NYC DoITT) Utility Poles (2014, ConEdison via NYCEM) Athletic Facilities (2017, NYC Parks)

For the purposes of classification, only vegetation > 8 ft were classed as Tree Canopy. Vegetation below 8 ft was classed as Grass/Shrub.

To learn more about this dataset, visit the interactive "Understanding the 2017 New York City LiDAR Capture" Story Map -- https://maps.nyc.gov/lidar/2017/ Please see the following link for additional documentation on this dataset -- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_LandCover.md

Summary:

The files contained herein represent green roof footprints in NYC visible in 2016 high-resolution orthoimagery of NYC (described at https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md). Previously documented green roofs were aggregated in 2016 from multiple data sources including from NYC Department of Parks and Recreation and the NYC Department of Environmental Protection, greenroofs.com, and greenhomenyc.org. Footprints of the green roof surfaces were manually digitized based on the 2016 imagery, and a sample of other roof types were digitized to create a set of training data for classification of the imagery. A Mahalanobis distance classifier was employed in Google Earth Engine, and results were manually corrected, removing non-green roofs that were classified and adjusting shape/outlines of the classified green roofs to remove significant errors based on visual inspection with imagery across multiple time points. Ultimately, these initial data represent an estimate of where green roofs existed as of the imagery used, in 2016.

These data are associated with an existing GitHub Repository, https://github.com/tnc-ny-science/NYC_GreenRoofMapping, and as needed and appropriate pending future work, versioned updates will be released here.

Terms of Use:

The Nature Conservancy and co-authors of this work shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any sale, distribution, loan, or offering for use of these digital data, in whole or in part, is prohibited without the approval of The Nature Conservancy and co-authors. The use of these data to produce other GIS products and services with the intent to sell for a profit is prohibited without the written consent of The Nature Conservancy and co-authors. All parties receiving these data must be informed of these restrictions. Authors of this work shall be acknowledged as data contributors to any reports or other products derived from these data.

Associated Files:

As of this release, the specific files included here are:

• GreenRoofData2016_20180917.geojson is in the human-readable, GeoJSON format, in geographic coordinates (Lat/Long, WGS84; EPSG 4263).
• GreenRoofData2016_20180917.gpkg is in the GeoPackage format, which is an Open Standard readable by most GIS software including Esri products (tested on ArcMap 10.3.1 and multiple versions of QGIS). This dataset is in the New York State Plan Coordinate System (units in feet) for the Long Island Zone, North American Datum 1983, EPSG 2263.
• GreenRoofData2016_20180917_Shapefile.zip is a zipped folder containing a Shapefile and associated files. Please note that some field names were truncated due to limitations of Shapefiles, but columns are in the same order as for other files and in the same order as listed below. This dataset is in the New York State Plan Coordinate System (units in feet) for the Long Island Zone, North American Datum 1983, EPSG 2263.
• GreenRoofData2016_20180917.csv is a comma-separated values file (CSV) with coordinates for centroids for the green roofs stored in the table itself. This allows for easily opening the data in a tool like spreadsheet software (e.g., Microsoft Excel) or a text editor.

Column Information for the datasets:

Some, but not all fields were joined to the green roof footprint data based on building footprint and tax lot data; those datasets are embedded as hyperlinks below.

• fid - Unique identifier
• bin - NYC Building ID Number based on overlap between green roof areas and a building footprint dataset for NYC from August, 2017. (Newer building footprint datasets do not have linkages to the tax lot identifier (bbl), thus this older dataset was used). The most current building footprint dataset should be available at: https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh. Associated metadata for fields from that dataset are available at https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_BuildingFootprints.md.
• bbl - Boro Block and Lot number as a single string. This field is a tax lot identifier for NYC, which can be tied to the Digital Tax Map (http://gis.nyc.gov/taxmap/map.htm) and PLUTO/MapPLUTO (https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page). Metadata for fields pulled from PLUTO/MapPLUTO can be found in the PLUTO Data Dictionary found on the aforementioned page. All joins to this bbl were based on MapPLUTO version 18v1.
• gr_area - Total area of the footprint of the green roof as per this data layer, in square feet, calculated using the projected coordinate system (EPSG 2263).
• bldg_area - Total area of the footprint of the associated building, in square feet, calculated using the projected coordinate system (EPSG 2263).
• prop_gr - Proportion of the building covered by green roof according to this layer (gr_area/bldg_area).
• cnstrct_yr - Year the building was constructed, pulled from the Building Footprint data.
• doitt_id - An identifier for the building assigned by the NYC Dept. of Information Technology and Telecommunications, pulled from the Building Footprint Data.
• heightroof - Height of the roof of the associated building, pulled from the Building Footprint Data.
• feat_code - Code describing the type of building, pulled from the Building Footprint Data.
• groundelev - Lowest elevation at the building level, pulled from the Building Footprint Data.
• qa - Flag indicating a positive QA/QC check (using multiple types of imagery); all data in this dataset should have 'Good'
• notes - Any notes about the green roof taken during visual inspection of imagery; for example, it was noted if the green roof appeared to be missing in newer imagery, or if there were parts of the roof for which it was unclear whether there was green roof area or potted plants.
• classified - Flag indicating whether the green roof was detected image classification. (1 for yes, 0 for no)
• digitized - Flag indicating whether the green roof was digitized prior to image classification and used as training data. (1 for yes, 0 for no)
• newlyadded - Flag indicating whether the green roof was detected solely by visual inspection after the image classification and added. (1 for yes, 0 for no)
• original_source - Indication of what the original data source was, whether a specific website, agency such as NYC Dept. of Parks and Recreation (DPR), or NYC Dept. of Environmental Protection (DEP). Multiple sources are separated by a slash.
• address - Address based on MapPLUTO, joined to the dataset based on bbl.
• borough - Borough abbreviation pulled from MapPLUTO.
• ownertype - Owner type field pulled from MapPLUTO.
• zonedist1 - Zoning District 1 type pulled from MapPLUTO.
• spdist1 - Special District 1 pulled from MapPLUTO.
• bbl_fixed - Flag to indicate whether bbl was manually fixed. Since tax lot data may have changed slightly since the release of the building footprint data used in this work, a small percentage of bbl codes had to be manually updated based on overlay between the green roof footprint and the MapPLUTO data, when no join was feasible based on the bbl code from the building footprint data. (1 for yes, 0 for no)

For GreenRoofData2016_20180917.csv there are two additional columns, representing the coordinates of centroids in geographic coordinates (Lat/Long, WGS84; EPSG 4263):

• xcoord - Longitude in decimal degrees.
• ycoord - Latitude in decimal degrees.

Acknowledgements:

This work was primarily supported through funding from the J.M. Kaplan Fund, awarded to the New York City Program of The Nature Conservancy, with additional support from the New York Community Trust, through New York City Audubon and the Green Roof Researchers Alliance.

This dataset is a combination of 2 data projects: 1- Data were updated within NYC watershed portions using 1m resolution LiDAR and 1ft orthoimagery collected in 2009 as part of the NYS Digital Ortho Program under contract with NYCDEP under CAT-371.For NYC reservoirs only: NYCDEP BWS GIS Staff (T. Spies) edited all polygons representing NYC reservoirs to show the true inundation area of water impoundment when the reservoir is full, including all areas separated from the main pool by a road or bridge. Therefore, any streams or rivers wider than 5m and represented in this NHDArea feature class were also edited as needed to match any edges where they transitioned from a NYC reservoir polygon. All edges and vertices were snapped to eliminate any gaps or slivers between reservoirs/lakes/ponds (NHDWaterbody) and stream/rivers (NHDArea).QA edits to NHD hydrography, including this feature class, were also made where needed based on field verification and correction of the NYCbasin1m boundary.As an additional departure from standard NHD to meet DEP’s needs, DEP GIS staff attributed all flowlines by their respective NYC reservoir basin and NYC water supply “region” as defined in the feature class “NYCbasin1m”. This was done using the “select by location” tool rather than “identity” tool, so as not to split any flowlines across boundaries. Any flowlines crossing basin boundaries in error were corrected by splitting the lines and snapping their endpoints to the appropriate spillway or basin edge instead. 2- Data was updated within portions of Ulster County outside the NYC watershed using NYS 1ft orthoimagery collected in 2013 and multiple Elevation datasets (2013 NYS DEC 1m Lidar Hudson River, 2005 NYS DEC 3m Lidar Ulster Stream Corridors, 1992 USGS 10m Digital Elevation Model (DEM)).Primary quality control was performed visually using enhanced symbology and supporting reference data. A detailed QC checklist is provided in the QC report. Specific emphasis was placed on the areas bordering the NYC Watershed and the areas encompassed by the Town of Woodstock’s local hydrography data. To the extent connections occurred, the data captured on this project was “snapped” to the corresponding locations in the NYC Watershed so that the data could be seamlessly integrated. The hydrography data from the Town of Woodstock, however, was inconsistent when applied to the data capture protocol. Many locally derived features did not appear to be supported by the source data (i.e., they did not exist) and were not included. All visual inspections were made at 1:1000 scale or better. During data capture, the Data Capture Analyst used a separate point feature class named “Flags” to identify locations where there may have been some interpretation or confusion. Later, the QC Analyst also used additional bookmarks in ArcGIS to track locations where additional investigation or interpretation was required. Finally, after an initial pass through the data, the QC Analyst evaluated and resolved all such flags and bookmarks, collaborating with the Data Capture Analyst as necessary to discuss findings and resolve questions.As data was completed, naming convention and separate storage locations were used for data management to ensure that source and modified datasets were clearly separated. In addition, a detailed QC tracking spreadsheet was used to track and manage effort on completing QC and resolving any issues.Finally, after the initial data delivery, several rounds of QC review were performed by Ulster County to include: additional visual inspection of flow line connectivity, geometric network tracking, and utility network analysisMost of the issues that were not readily apparent in the manual QC process were attributed to minor errors in data capture and discovered here. Examples include digitizing lines in the wrong direction (not downstream), existence of multi-part features, and topology errors. In all cases, issues were evaluated and resolved

NYC Department of Information Technology and Telecommunications (DoITT) GIS group maintains an accurate 'basemap' for NYC.The basemap provides the foundation upon which virtually all other geospatial data within New York government is registered. Ensuring its completeness and accuracy is fundamental to the Group’s core mission.

Imagery and Data Specifications Digital planimetrics were derived using the imagery products delivered with the 2014 New York Statewide Flyover (see Introduction for specific flight dates), which includes raw imagery collected to support the generation of 0.5 Ft Ground Sample Distance (GSD) natural color imagery. The images were captured with 80% forward lap and side lap to support 1”=100’ mapping and meet the distortion free requirements within New York City. Planimetrics are developed to meet American Society for Photogrammetry and Remote Sensing (ASPRS) Class 1 (one) horizontal mapping standards and ASPRS vertical Class 2 (two) accuracy specifications. Planimetrics are delivered via an ESRI geodatabase in New York State Plane Coordinates, Long Island East Zone, NAD83, US foot.

General Attribute Information

The following attribute information applies to all feature classes. Additional attributes specific to a given feature class are listed within the details for that feature class.