"This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture alone.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

This data set is based upon the 2011 soil survey prepared by the US Department of Agriculture-Natural Resources Conservation Service. The 2011 soil survey was prepared to National Cooperative Soil Survey standards and utilized nationally recognized names for soil types. The 2018 soil map legend is identical to the 2011 legend, but the soil boundaries have been shifted to better correlate with topography and land use. This map was officially adopted by the Board of Supervisors in 2018. All construction plans submitted to the County for permits that require the inclusion of soils mapping should reference the 2018 soils map.

More MetadataAbstract: The general soil association map outlines broad areas which have distinctive patterns in landscape and general geographic appearance. Each of the soil associations has a unique set of features which effect general use and management including shape and length of slope; width of ridgetops and valleys; frequency, size, and direction of streams; type of vegetation, rate of growth; and agriculture. These differences are largely the result of broad differences in kinds of soils and in the geologic materials from which the soils formed. A mapping unit typically consists of one or more major soils with minor soils, and is named for the major soils. This map shows, in small scale, a summary of the information contained on the individual detailed soil maps for Loudoun County. Because of its small scale and general soil descriptions, it is not suitable for planning small areas or specific sites, but it does present a general picture of soils in the County, and can show large areas generally suited to a particular kind of agriculture or other special land use. For more detailed and specific soils information, please refer to the detailed soils maps and other information available from the County Soil Scientist. Digital data consists of mapping units of the various soil types found in Loudoun County, Virginia. The data were collected by digitizing manuscript maps derived from USDA soil maps and supplemented by both field work and geological data. Field work for the soil survey was first conducted between 1947 and 1952. Soils were originally shown at the scale of 1:15840 and then redrafted by the County soil scientist to 1:12000; the data were redrafted a final time to fit Loudoun County's base map standard of 1:2400. Although the current data rely heavily on the original soil survey, there have been extensive field checks and alterations to the soil map based on current soil concepts and land use. The data are updated as field site inspections or interpretation changes occur.Purpose: Digital data are used to identify the mapping unit potential for a variety of uses, such as agriculture drainfield suitability, construction concerns, or development possibility. This material is intended for planning purposes, as well as to alert the reader to the broad range of conditions, problems, and use potential for each mapping unit. The mapping unit potential use rating refers to the overall combination of soil properties and landscape conditions. The information in this data set will enable the user to determine the distribution and extent of various classes of soil and generally, the types of problems which may be anticipated. HOW NOT TO USE THIS INFORMATION The information in this guide is NOT intended for use in determining specific use or suitability of soils for a particular site. It is of utmost importance that the reader understand that the information is geared to mapping unit potential and not to specific site suitability. An intensive on-site evaluation should be made to verify the soils map and determine the soil/site suitability for the specific use of a parcel. The original Soil Survey was written for agricultural purposes, but the emphasis has shifted to include urban/suburban uses. The Revised Soil Survey is currently under technical review and is expected to be published by 2006.Supplemental information: The Interpretive Guide to the Use of Soils Maps; Loudoun County, Virginia contains more detailed soils information. Data are stored in the corporate GIS Geodatabase as a polygon feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN.

See MetadataZOAM-2020-0002, Prime Agricultural Soils and Cluster Subdivision was adopted in June 2024, with an effective date of March 12, 2025, resulted in the amendment ordinances and revised regulations to improved cluster developments and use of prime agricultural soils in the Rural AR-1 and AR-2 Zoning Districts of the Rural Policy Area. The design of clustered residential development will be improved by incorporating natural features, protecting and conserving agriculturally productive prime agriculture soils, allowing for equine and rural economy uses, and further implementing the policies of the Loudoun County 2019 General Plan with respect to clustered residential development in order to guide all future cluster subdivision applications in the Rural North (AR-1) and Rural South (AR-2) Zoning Districts of the Rural Policy Area.As part of the ZOAM's approval, 15 soil types were identified as Prime Farmland Soils. They include the following soils types; 3A, 13B, 17B, 23B, 28B, 31B, 43B, 45B, 55B, 71B, 76B, 90B, 93B, 94B, 95B. All of these soil types are also currently identified as Prime Soils in the current Interpretive Guide to the use of Soils Maps; Loudoun County, VA, which further describes the soil mapping units within the Loudoun County Soils layer. The Interpretive Guide also identifies 3 other soil types as Prime Farmland Soils (17C, 70B, 70C) but for the purpose of this adopted ZOAM are not considered part of the new Prime Farmland Soils (Cluster Subdivision Option).This map shows, in small scale, a subset of the information contained on the individual detailed soil maps for Loudoun County by identifying the soil types that are considered Prime Farmland Soils (Cluster Subdivision Option). Because of its small scale and general soil descriptions, it is not suitable for planning small areas or specific sites, but it does present a general picture of soils in the County, and can show large areas generally suited to a particular kind of agriculture or other special land use. For more detailed and specific soils information, please refer to the detailed soils maps and other information available from the County Soil Scientist. Digital data consists of mapping units of the various soil types found in Loudoun County, Virginia. The data were collected by digitizing manuscript maps derived from USDA soil maps and supplemented by both field work and geological data. Field work for the soil survey was first conducted between 1947 and 1952. Soils were originally shown at the scale of 1:15840 and then redrafted by the County soil scientist to 1:12000; the data were redrafted a final time to fit Loudoun County's base map standard of 1:2400. Although the current data rely heavily on the original soil survey, there have been extensive field checks and alterations to the soil map based on current soil concepts and land use. The data are updated as field site inspections or interpretation changes occur.

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The zoning layer constitutes the official zoning map for Loudoun County and is a component of the official zoning ordinance. It reflects expiration of grandfathering provisions of the 1972 Zoning Ordinance for certain proffered PD-H and R-Districts created prior to June 16, 1993. The zoning data is owned and maintained by Loudoun County, Virginia Department of Building and Development. Purpose: The purpose is to facilitate the administration of the zoning ordinance. The data are used extensively for taxation, subdivision review, permitting, and planning. Supplemental Information: Boundaries generally follow parcel lines, although there are several exceptions. The zoning data does not include zoning overlay districts, such as LDN, Floodplain, Quarry, or Mountainside Overlay Districts. Although the layer represents the official zoning map, a determination should be requested from the Zoning Administrator to verify zoning for a particular property. Data are stored in the corporate ArcSDE Geodatabase as a feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN. It is also important to note that in order to determine the Zoning Ordinance Amendments (ZOAMs) that are applicable to a particular parcel governed under the Revised 1993 Zoning Ordinance located within the Route 28 Tax District, the ZO_ZONE_DATE, Opt-In Letter, proffer statement, rezoning plat and/or concept development plan should be consulted as applicable. For an official determination regarding the applicable zoning, zoning ordinance text and/or whether proffered conditions may apply to a certain property, please contact the Zoning Administrator in the Department of Building and Development. Data are stored in the corporate ArcSDE Geodatabase as a feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN. Maintenance and Update Frequency: The zoning layer is updated on a daily basis as staff researches zoning for individual properties. Completeness Report: Features may have been eliminated or generalized due to scale and intended use. To assist Loudoun County, Virginia in the maintenance of the data, please provide any information concerning discovered errors, omissions, or other discrepancies found in the data. Ordinance: 1972, 1993 or Revised 1993; ordinance under which the property is administered; does not necessarily correspond to the zone (e.g. a property may have a zone code of PDH3 for the zone in accordance with the 1993 ordinance, but it should have a value of 1972 for ordinance if it is administered as another zone, such as PDH24, under the 1972 ordinance). The zone a property is administered as is not carried in the layer. Due to a court order, it is important to note that there are two developments that remain to be governed under 1972 Zoning Ordinance that are located outside of the Route 28 Tax District. These are the PD-H zoned areas of Mirror Ridge and Countryside. It is noted that these areas were already reflected under the 1972 Zoning Ordinance on previous zoning maps. Zone Codes: A10- Agriculture: Agriculture and low density residential development with a maximum density of one unit per 10 acres. Cluster and hamlet options. A3- Agricultural/Residential: Agriculture and low density residential development with a maximum density of one unit per 3 acres with a predominantly agricultural character. Cluster and hamlet options. AR1- Agricultural Rural - 1: Rural business and residential uses: 1.0 du per 20-acres/; 1.0 du per 10 clustered AR2- Agricultural Rural - 2: Rural business and residential uses: 1.0 du per 40-acres/; 1.0 du per 20 clustered C1- Commercial: Commercial primarily retail and personal services. C1 is under 1972 ordinance and is only within the Route 28 Tax District. CLI- Commercial/Light Industry: Mix of compatible light industrial uses, industrial-related business uses, and related retail uses on minimum two acre lots. Only along Route 50 from Fairfax/Loudoun County line west to Route 659. New CLI district rezoning limited to parcels contiguous to existing CLI district. CR1- Countryside Residential-1: Residential development with a maximum density of 1 unit per acre. Not served by public water and sewer. Cluster and hamlet options. CR2- Countryside Residential-2: Residential development with a maximum density of 2 units per acre. Not served by public water and sewer. Cluster option with public water and/or sewer. CR3- Countryside Residential-3: Residential development with a maximum density of 3 units per acre. Not served by public water and sewer. Cluster option with public sewer. CR4- Countryside Residential-4: Residential development with a maximum density of 4 units per acre. Not served by public water and sewer. GB- General Business: General destination retail and service businesses that serve the needs of residents and businesses in the vicinity, on one-half acre lots. Access to major collector or arterial roads (but cannot front on or abut collector or arterial roads). I1- Industrial: Primarily heavy industrial. I1 is under 1972 ordinance and is only within the Route 28 Tax District. IAD- Dulles: Washington-Dulles International Airport JLMA1- Joint Land Management Area-1: Residential uses, cluster and traditional town subdivision design; 1.0 du/40,000 sq. ft. JLMA2- Joint Land Management Area-2: Residential uses, cluster and traditional town subdivision design; 1.0 du/20,000 sq. ft. JLMA3- Joint Land Management Area-3: Residential uses, cluster and traditional town subdivision design; 1.0 du per 3 acres JLMA20- Joint Land Management Area-20: Rural business and residential uses, large lot subdivision design (no cluster option); 1.0 du per 20 acres MRHI- Mineral Resource/Heavy Industry: Diabase resource extraction operations (quarries) co-located with compatible heavy industrial uses. Specific use limitations for stone quarry operations. PDAAAR- Planned Development-Active Adult/Age Restricted: Planned adult residential communities. PDAAAR districts have a minimum of 25 acres, public sewer and water, and are served by one or more major arterial or collector roads. Consistent with locations designated for high-density urban residential development. PDCCCC- Planned Development-Commercial Center (Community Center): Serves retail shopping needs of surrounding community. Minimum of 6 acres, maximum of 20 acres. PDCCNC- Planned Development-Commercial Center (Neighborhood Center): Serves convenience needs of adjacent residential neighborhoods. Minimum of 1.5 acres, maximum of 6 acres. PDCCRC- Planned Development-Commercial Center (Regional Center): Large scale commercial centers which provide a wide range of retail, office, and service uses, with one or more anchor stores, to the regional market. Minimum of 60 acres with controlled access to arterial roads. PDCCSC- Planned Development-Commercial Center (Small Regional Center): Small regional centers consisting of individual large and small scale commercial uses selling a broad range of goods or services to a market beyond the local community. Minimum of 20 acres, maximum of 60 acres. Controlled access to a major collector. PDCH- Planned Development-Commercial Highway: Highway related commercial districts. PDCH is under the 1972 ordinance and is only within the Route 28 Tax District. PDGI- Planned Development-General Industrial: Medium intensity industrial uses with public nuisance. potential. PDH3- Planned Development Housing-3: Mixed use residential communities including single family and multifamily housing products with supportive non-residential uses, subject to an adopted concept development plan. Maximum overall residential density of 3 units per acre. PDH4- Planned Development Housing-4: Mixed use residential communities including single family and multifamily housing products with supportive non-residential uses, subject to an adopted concept development plan. Maximum overall residential density of 4 units per acre. PDH6- Planned Development Housing-6: Mixed use residential communities including single family and multifamily housing products with supportive non-residential uses, subject to an adopted concept development plan. Maximum overall residential density of 6 units per acre. PDIP- Planned Development-Industrial Park: Light and medium industrial uses with supporting accessory uses and facilities designed with a parklike environment. May be subject to a concept development plan. PDMUB- Planned Development-Mixed Use Business: A compact pedestrian oriented mixed use business district of regional office, light industrian, retail, service, civic and high density residential uses located in close proximity to each other. Minimum size of 25 acres per District. PDOP- Planned Development-Office Park: Office park established primarily for administrative, business, and professional offices designed in a parklike environment and subject to an adopted concept development plan. PDRDP- Planned Development-Research and Development Park: Planned mixed employment park, subject to an adopted concept development plan, which allows the mixing of research and development firms, office complexes, certain types of manufacturing and interrelated land uses. PDRV- Planned Development-Rural Village: A rural, pedestrian oriented, mixed use community consisting of single family detached houses, townhomes, apartments, stores, and employment centers located on 20% of the

Mapping of the current distributions of forest-cover types across the Great Dismal Swamp National Wildlife Refuge (the swamp) is critical to understanding the success of ongoing hydrologic and other management techniques used to restore the forest communities of the swamp to those present across the swamp in early colonial times. Aerial photographs, orthophotographs, and vector digital data were used to map forest-cover types of the swamp. The forest-cover types were interpreted and mapped using composition, height, and canopy-closure classes derived from this imagery and field verification. The imagery was obtained using a near-infrared sensor (NIR)carried in an airplane flown across the swamp during the mid-to-late spring of 2015. The original dataset was provided in Universal Transverse Mercator meters, Zone 18, NAD 83 projection. The resolution of the imagery was 0.3-meter pixels. This report explains the metadata for the vector digital geodatabase for forest cover as interpreted from the imagery and field verification. One or two species composition codes represent the major forest types in the canopy of each stand. The first code represents the forest type forming at least 50 percent of the canopy. The second code represents the forest type forming 25 to less than 50 percent of the canopy. A single code indicates that only that forest type forms at least 25 percent of the canopy. Where the forest covered less than 25 percent of an area, the area was classified as emergent species. Minimum mapping areas were 5 acres for forested land and 1 acre for emergent species.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

Analysis of ‘Loudoun Soils’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8aed4fa9-2af8-40c3-afad-342a6adc3fa7 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

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--- Original source retains full ownership of the source dataset ---

Analysis of ‘Loudoun Zoning’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8d9f9c05-0995-4468-893d-3803c0934c44 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

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The zoning layer constitutes the official zoning map for Loudoun County and is a component of the official zoning ordinance. It reflects expiration of grandfathering provisions of the 1972 Zoning Ordinance for certain proffered PD-H and R-Districts created prior to June 16, 1993. The zoning data is owned and maintained by Loudoun County, Virginia Department of Building and Development. Purpose: The purpose is to facilitate the administration of the zoning ordinance. The data are used extensively for taxation, subdivision review, permitting, and planning. Supplemental Information: Boundaries generally follow parcel lines, although there are several exceptions. The zoning data does not include zoning overlay districts, such as LDN, Floodplain, Quarry, or Mountainside Overlay Districts. Although the layer represents the official zoning map, a determination should be requested from the Zoning Administrator to verify zoning for a particular property. Data are stored in the corporate ArcSDE Geodatabase as a feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN. It is also important to note that in order to determine the Zoning Ordinance Amendments (ZOAMs) that are applicable to a particular parcel governed under the Revised 1993 Zoning Ordinance located within the Route 28 Tax District, the ZO_ZONE_DATE, Opt-In Letter, proffer statement, rezoning plat and/or concept development plan should be consulted as applicable. For an official determination regarding the applicable zoning, zoning ordinance text and/or whether proffered conditions may apply to a certain property, please contact the Zoning Administrator in the Department of Building and Development. Data are stored in the corporate ArcSDE Geodatabase as a feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN. Maintenance and Update Frequency: The zoning layer is updated on a daily basis as staff researches zoning for individual properties. Completeness Report: Features may have been eliminated or generalized due to scale and intended use. To assist Loudoun County, Virginia in the maintenance of the data, please provide any information concerning discovered errors, omissions, or other discrepancies found in the data. Ordinance: 1972, 1993 or Revised 1993; ordinance under which the property is administered; does not necessarily correspond to the zone (e.g. a property may have a zone code of PDH3 for the zone in accordance with the 1993 ordinance, but it should have a value of 1972 for ordinance if it is administered as another zone, such as PDH24, under the 1972 ordinance). The zone a property is administered as is not carried in the layer. Due to a court order, it is important to note that there are two developments that remain to be governed under 1972 Zoning Ordinance that are located outside of the Route 28 Tax District. These are the PD-H zoned areas of Mirror Ridge and Countryside. It is noted that these areas were already reflected under the 1972 Zoning Ordinance on previous zoning maps. Zone Codes: A10- Agriculture: Agriculture and low density residential development with a maximum density of one unit per 10 acres. Cluster and hamlet options. A3- Agricultural/Residential: Agriculture and low density residential development with a maximum density of one unit per 3 acres with a predominantly agricultural character. Cluster and hamlet options. AR1- Agricultural Rural - 1: Rural business and residential uses: 1.0 du per 20-acres/; 1.0 du per 10 clustered AR2- Agricultural Rural - 2: Rural business and residential uses: 1.0 du per 40-acres/; 1.0 du per 20 clustered C1- Commercial: Commercial primarily retail and personal services. C1 is under 1972 ordinance and is only within the Route 28 Tax District. CLI- Commercial/Light Industry: Mix of compatible light industrial uses, industrial-related business uses, and related retail uses on minimum two acre lots. Only along Route 50 from Fairfax/Loudoun County line west to Route 659. New CLI district rezoning limited to parcels contiguous to existing CLI district. CR1- Countryside Residential-1: Residential development with a maximum density of 1 unit per acre. Not served by public water and sewer. Cluster and hamlet options. CR2- Countryside Residential-2: Residential development with a maximum density of 2 units per acre. Not served by public water and sewer. Cluster option with public water and/or sewer. CR3- Countryside Residential-3: Residential development with a maximum density of 3 units per acre. Not served by public water and sewer. Cluster option with public sewer. CR4- Countryside Residential-4: Residential development with a maximum density of 4 units per acre. Not served by public water and sewer. GB- General Business: General destination retail and service businesses that serve the needs of residents and businesses in the vicinity, on one-half acre lots. Access to major collector or arterial roads (but cannot front on or abut collector or arterial roads). I1- Industrial: Primarily heavy industrial. I1 is under 1972 ordinance and is only within the Route 28 Tax District. IAD- Dulles: Washington-Dulles International Airport JLMA1- Joint Land Management Area-1: Residential uses, cluster and traditional town subdivision design; 1.0 du/40,000 sq. ft. JLMA2- Joint Land Management Area-2: Residential uses, cluster and traditional town subdivision design; 1.0 du/20,000 sq. ft. JLMA3- Joint Land Management Area-3: Residential uses, cluster and traditional town subdivision design; 1.0 du per 3 acres JLMA20- Joint Land Management Area-20: Rural business and residential uses, large lot subdivision design (no cluster option); 1.0 du per 20 acres MRHI- Mineral Resource/Heavy Industry: Diabase resource extraction operations (quarries) co-located with compatible heavy industrial uses. Specific use limitations for stone quarry operations. PDAAAR- Planned Development-Active Adult/Age Restricted: Planned adult residential communities. PDAAAR districts have a minimum of 25 acres, public sewer and water, and are served by one or more major arterial or collector roads. Consistent with locations designated for high-density urban residential development. PDCCCC- Planned Development-Commercial Center (Community Center): Serves retail shopping needs of surrounding community. Minimum of 6 acres, maximum of 20 acres. PDCCNC- Planned Development-Commercial Center (Neighborhood Center): Serves convenience needs of adjacent residential neighborhoods. Minimum of 1.5 acres, maximum of 6 acres. PDCCRC- Planned Development-Commercial Center (Regional Center): Large scale commercial centers which provide a wide range of retail, office, and service uses, with one or more anchor stores, to the regional market. Minimum of 60 acres with controlled access to arterial roads. PDCCSC- Planned Development-Commercial Center (Small Regional Center): Small regional centers consisting of individual large and small scale commercial uses selling a broad range of goods or services to a market beyond the local community. Minimum of 20 acres, maximum of 60 acres. Controlled access to a major collector. PDCH- Planned Development-Commercial Highway: Highway related commercial districts. PDCH is under the 1972 ordinance and is only within the Route 28 Tax District. PDGI- Planned Development-General Industrial: Medium intensity industrial uses with public nuisance. potential. PDH3- Planned Development Housing-3: Mixed use residential communities including single family and multifamily housing products with supportive non-residential uses, subject to an adopted concept development plan. Maximum overall residential density of 3 units per acre. PDH4- Planned Development Housing-4: Mixed use residential communities including single family and multifamily housing products with supportive non-residential uses, subject to an adopted concept development plan. Maximum overall residential density of 4 units per acre. PDH6- Planned Development Housing-6: Mixed use residential communities including single family and multifamily housing products with supportive non-residential uses, subject to an adopted concept development plan. Maximum overall residential density of 6 units per acre. PDIP- Planned Development-Industrial Park: Light and medium industrial uses with supporting accessory uses and facilities designed with a parklike environment. May be subject to a concept development plan. PDMUB- Planned Development-Mixed Use Business: A compact pedestrian oriented mixed use business district of regional office, light industrian, retail, service, civic and high density residential uses located in close proximity to each other. Minimum size of 25 acres per District. PDOP- Planned Development-Office Park: Office park established primarily for administrative, business, and professional offices designed in a parklike environment and subject to an adopted concept development plan. PDRDP- Planned Development-Research and Development Park: Planned mixed employment park, subject to an adopted concept development plan, which allows the mixing of research and development firms, office complexes, certain types of manufacturing and

LTER/VCR008: Data is a listing of available aerial photography of the Virginia Coast Reserve. Information included is location of photography now (i.e., where it is held), agency filmed for, data, scale, type of film, project number, roll number, frames, and additional comments. The photography can be used to identify changes and historical trends taking place on the Virginia barrier islands.

Information about LTER is also available at 'http://lternet.edu/'

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

The Washington DC Area geologic map database (DCDB) provides geologic map information of areas to the NW, W, and SW of Washington, DC to various professionals and private citizens who have uses for geologic data. Digital, geographically referenced, geologic data is more versatile than traditional hard copy maps, and facilitates the examination of relationships between numerous aspects of the geology and other types of data such as: land-use data, vegetation characteristics, surface water flow and chemistry, and various types of remotely sensed images. The DCDB was created by combining Arc/Info coverages, designing a Microsoft (MS) Access database, and populating this database. Proposed improvements to the DCDB include the addition of more geochemical, structural, and hydrologic data.

Geology was researched and compiled for use in studies of ecosystem health, environmental impact, soils, groundwater, land use, tectonics, crustal genesis, sedimentary provenance, and any others that could benefit from geographically referenced geological data.

The Washington DC Area geologic map database (DCDB) provides geologic map information of areas to the NW, W, and SW of Washington, DC to various professionals and private citizens who have uses for geologic data. Digital, geographically referenced, geologic data is more versatile than traditional hard copy maps, and facilitates the examination of relationships between numerous aspects of the geology and other types of data such as: land-use data, vegetation characteristics, surface water flow and chemistry, and various types of remotely sensed images. The DCDB was created by combining Arc/Info coverages, designing a Microsoft (MS) Access database, and populating this database. Proposed improvements to the DCDB include the addition of more geochemical, structural, and hydrologic data.

Data are provided in several common GIS formats and MS Access database files. The geologic data themes included are bedrock, surficial, faults and fold axes, neat line, structural data, and sinkholes; the base themes are political boundaries, roads, elevation contours, and hydrography.

Data were originally collected in UTM coordinates, zone 18, NAD 1927, and projected to geographic coordinates (Lat/Long), NAD 1983. The data base is accompanied by large format color maps, a readme.txt file, and a explanatory PDF pamphlet.

Assessing the physical change to shorelines and wetlands is critical in determining the resiliency of wetland systems that protect adjacent habitat and communities. The wetland and back-barrier shorelines of Assateague Island, located in Maryland and Virginia, changed as a result of wave action and storm surge that occurred during Hurricane Sandy, which made landfall on October 29, 2012. The impact of Hurricane Sandy will be assessed and placed in its historical context to understand the future vulnerability of wetland systems. Making these assessments will rely on data extracted from current and historical resources such as maps, aerial photographs, satellite imagery, and lidar elevation data, which document physical changes over time. This USGS Data Series publication includes several open-ocean shorelines, back-island shorelines, back-island shoreline points, sand area polygons, and sand lines for Assateague Island that were extracted from orthoimagery (orthoaerial photography) dated from April 12, 1989 to September 5, 2013. This dataset consists of points that were digitized at the intersection of the back-island shoreline and a set of transects spaced at 20 meter (m) intervals. The transects, asis_transects_ln_20m_utm18.shp, are included in this Data Series publication and can be accessed via the Data Download page. Only one back-island shoreline/transect intersection point was digitized per transect. Orthoimagery of Assateague Island were acquired in digital format from U.S. Department of Agriculture (USDA), U.S. Geological Survey (USGS) and Virginia Geographic Information Network (VGIN) courtesy of the Commonwealth of Virginia. The following list provides additional details about the orthoimagery used. The back-island shoreline points for all dates have been compiled into one dataset (shapefile) named asis_bshrln_1989_2013_transect_guided.shp. The orthoimage date for each line is included in the shapefile attribute table Date_ field.

Date State Type Source Resolution

198904129(1) MD DOQQ USGS 1 meter (m) 19940320 VA DOQQ USGS 1 m 20041105 VA NAIP USDA 2 m 20050608 VA NAIP USDA 2 m 20050615 MD NAIP USDA 1 m 20060528 VA NAIP USDA 2 m 20060701 MD NAIP USDA 2 m 20070622 MD NAIP USDA 1 m 20080525 VA NAIP USDA 1 m 20090626 MD NAIP USDA 1 m 20090726 VA NAIP USDA 1 m 20090807 VA NAIP USDA 1 m 20110530 VA NAIP USDA 1 m 20110602 MD NAIP USDA 1 m 20120512 VA NAIP USDA 1 m 20130315 VA VBMP VGIN(2) 1 m(3) 20130905 MD NAIP USDA 1 m

DOQQ Digital Orthophoto Quarter Quads NAIP National Agriculture Imagery Program VBMP Virginia Base Mapping Program

(1)Color Infrared orthoimagery; all others are natural color. (2)Imagery courtesy of the Commonwealth of Virginia. (3)Resampled from 1-foot resolution imagery.

More Metadata This feature class contains the basic expected land uses, or place types, for specific areas for all of Loudoun County. The place type approach concentrates on the context of any area instead of typical land use categories and corresponding specific uses. Each place type category defines the basis expected land use for an area, but also the preferred development patterns, streetscapes, and design features to make each area visually distinctive and functional. Place types also provide greater flexibility in development than the previous planned land use approach.This purpose of this feature class is to reference the planned place types, or expected land uses in certain areas, as reflected by the Loudoun County 2019 Comprehensive Plan, which was adopted on June 20, 2019. The data is used extensively by both the Department of Planning, Building and Development but is administered by the Department of Planning. This place type layer is to be used in place of the previous planned land use layer that was retired with the adoption of the 2019 Comprehensive Plan.

This TNC Lands spatial dataset represents the lands and waters in which The Nature Conservancy (TNC) currently has, or historically had, an interest, legal or otherwise in West Virginia. The system of record for TNC Lands is the Legal Records Management (LRM) system, which is TNC’s database for all TNC land transactions.TNC properties should not be considered open to the public unless specifically designated as being so. TNC may change the access status at any time at its sole discretion. It's recommended to visit preserve-specific websites or contact the organization operating the preserve before any planned visit for the latest conditions, notices, and closures. TNC prohibits redistribution or display of the data in maps or online in any way that misleadingly implies such lands are universally open to the public.The types of current land interests represented in the TNC Lands data include: Fields and Attributes included in the public dataset:Field NameField DefinitionAttributesAttribute Definitions Public NameThe name of the tract that The Nature Conservancy (TNC) Business Unit (BU) uses for public audiences.Public name of tract if applicableN/A TNC Primary InterestThe primary interest held by The Nature Conservancy (TNC) on the tractFee OwnershipProperties where TNC currently holds fee-title or exclusive rights and control over real estate. Fee Ownership can include TNC Nature Preserves, managed areas, and properties that are held for future transfer. Conservation EasementProperties on which TNC holds a conservation easement, which is a legally binding agreement restricting the use of real property for conservation purposes (e.g., no development). The easement may additionally provide the holder (TNC) with affirmative rights, such as the rights to monitor species or to manage the land. It may run forever or for an expressed term of years. Deed RestrictionProperties where TNC holds a deed restriction, which is a provision placed in a deed restricting or limiting the use of the property in some manner (e.g., if a property goes up for sale, TNC gets the first option). TransferProperties where TNC historically had a legal interest (fee or easement), then subsequently transferred the interest to a conservation partner. AssistProperties where TNC assisted another agency/entity in protecting. Management Lease or AgreementAn agreement between two parties whereby one party allows the other to use their property for a certain period of time in exchange for a periodic fee. Grazing Lease or PermitA grazing lease or permit held by The Nature Conservancy Right of WayAn access easement or agreement held by The Nature Conservancy. OtherAnother real estate interest or legal agreement held by The Nature Conservancy Fee OwnerThe name of the organization serving as fee owner of the tract, or "Private Land Owner" if the owner is a private party. If The Nature Conservancy (TNC) primary interest is a "Transfer" or "Assist", then this is the fee owner at the time of the transaction.Fee Owner NameN/A Fee Org TypeThe type of organization(s) that hold(s) fee ownership. Chosen from a list of accepted values.Organization Types for Fee OwnershipFED:Federal, TRIB:American Indian Lands, STAT:State,DIST:Regional Agency Special District, LOC:Local Government, NGO:Non-Governmental Organization, PVT:Private, JNT:Joint, UNK:Unknown, TERR:Territorial, DESG:Designation Other Interest HolderThe name of the organization(s) that hold(s) a different interest in the tract, besides fee ownership or TNC Primary Interest. This may include TNC if the Other Interest is held or co-held by TNC. Multiple interest holders should be separated by a semicolon (;).Other Interest Holder NameN/A Other Interest Org TypeThe type of organization(s) that hold(s) a different interest in the tract, besides fee ownership. This may include TNC if the Other Interest is held or co-held by TNC. Chosen from a list of accepted values.Organization Types for interest holders:FED:Federal, TRIB:American Indian Lands, STAT:State,DIST:Regional Agency Special District, LOC:Local Government, NGO:Non-Governmental Organization, PVT:Private, JNT:Joint, UNK:Unknown, TERR:Territorial, DESG:Designation Other Interest TypeThe other interest type held on the tract. Chosen from a list of accepted values.​Access Right of Way; Conservation Easement; Co-held Conservation Easement; Deed Restriction; Co-held Deed Restriction; Fee Ownership; Co-held Fee Ownership; Grazing Lease or Permit; Life Estate; Management Lease or Agreement; Timber Lease or Agreement; OtherN/A Preserve NameThe name of The Nature Conservancy (TNC) preserve that the tract is a part of, this may be the same name as the as the "Public Name" for the tract.Preserve Name if applicableN/APublic AccessThe level of public access allowed on the tract.Open AccessAccess is encouraged on the tract, trails are maintained, signage is abundant, and parking is available. The tract may include regular hours of availability.Open with Limited AccessThere are no special requirements for public access to the tract, the tract may include regular hours of availability with limited amenities.Restricted AccessThe tract requires a special permit from the owner for access, a registration permit on public land, or has highly variable times or conditions to use.Closed AccessNo public access is allowed on the tract.UnknownAccess information for the tract is not currently available.Gap CategoryThe Gap Analysis Project (GAP) code for the tract. Gap Analysis is the science of determining how well we are protecting common plants and animals. Developing the data and tools to support that science is the mission of the Gap Analysis Project (GAP) at the US Geological Survey. See their website for more information, linked in the field name.1 - Permanent Protection for BiodiversityPermanent Protection for Biodiversity2 - Permanent Protection to Maintain a Primarily Natural StatePermanent Protection to Maintain a Primarily Natural State3 - Permanently Secured for Multiple Uses and in natural coverPermanently Secured for Multiple Uses and in natural cover39 - Permanently Secured and in agriculture or maintained grass coverPermanently Secured and in agriculture or maintained grass cover4 - UnsecuredUnsecured (temporary easements lands and/or municipal lands that are already developed (schools, golf course, soccer fields, ball fields)9 - UnknownUnknownProtected AcresThe planar area of the tract polygon in acres, calculated by the TNC Lands geographic information system (GIS).Total geodesic area of polygon in acresProjection: WGS 1984 Web Mercator Auxiliary SphereOriginal Protection DateThe original protection date for the tract, from the Land Resource Management (LRM) system record.Original protection dateN/AStateThe state within the United States of America or the Canadian province where the tract is located.Chosen from a list of state names.N/ACountryThe name of the country where the tract is located.Chosen from a list of countries.N/ADivisionThe name of the TNC North America Region Division where the tract is located. Chosen from a list of TNC North America DivisionsN/A