This viewer was created for the Arkansas GIS Office to aid staff as well as County personnel in quickly locating information related to tax parcels.

Vector polygon map data of property parcels from St. Francis County, Arkansas containing 18,202 features.

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Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

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Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

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Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

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/ .

State Government Tax Collections, Property Taxes in Arkansas was 1515978.00000 Thous. of $ in January of 2024, according to the United States Federal Reserve. Historically, State Government Tax Collections, Property Taxes in Arkansas reached a record high of 1515978.00000 in January of 2024 and a record low of 259.00000 in January of 1952. Trading Economics provides the current actual value, an historical data chart and related indicators for State Government Tax Collections, Property Taxes in Arkansas - last updated from the United States Federal Reserve on July of 2025.

This web map service provides land use land cover data and derived products for the State of Arkansas.

State Tax Collections: T01 Property Taxes for Arkansas was 739.00000 Mil. of U.S. $ in October of 2024, according to the United States Federal Reserve. Historically, State Tax Collections: T01 Property Taxes for Arkansas reached a record high of 739.00000 in October of 2024 and a record low of 0.00000 in July of 1995. Trading Economics provides the current actual value, an historical data chart and related indicators for State Tax Collections: T01 Property Taxes for Arkansas - last updated from the United States Federal Reserve on May of 2025.

This map depicts the land-use and land-cover of Arkansas as it occurred in the year 2006. The data are derived from Landsat TM 5 scenes and extensive ground-truth information. The map focuses primarily on agricultural land-use: crop and pasture lands. The maps consist of a broad based inventory of land-use and land-cover. Map categories fall with 6 broad "Level 1" categories: water, forest, barren, herbaceous, agricultural lands, and urban. Specific Level 1 land-use categories: agriculture and urban are broken into more discrete, "Level 2" land-use subcategories: e.g. crop type, pasture type. Catagory LULC_NAME 10 Urban 11 Urban: Intensity 1 12 Urban: Intensity 2 13 Urban: Intensity 3 14 Urban: Other 30 Barren Land 31 Barren Land 40 Water 41 Water: Perennial 42 Water: Flooded 50 Herbaceous/Woody/Transitional 51 Herbaceous/Woody/Transitional 100 Forest Unclassified 101 Forest Unclassified / Transitional 200 Cropland 201 Soybeans 202 Rice 203 Cotton 204 Wheat/Oats 205 Sorghum/Corn 206 Other Cropland 208 Bare Soil/Seedbed 209 Warm Season Grasses 210 Cool Season Grasses

Combined Violent and Property Crime Offenses Known to Law Enforcement in Arkansas County, AR was 90.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Arkansas County, AR reached a record high of 175.00000 in January of 2015 and a record low of 71.00000 in January of 2005. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Arkansas County, AR - last updated from the United States Federal Reserve on June of 2025.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

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

no abstract provided

description: This map depicts the land-use and land-cover of Arkansas as it occurred in the year 2004, and is one of three statewide map layers designed to show land-use changes throughout the year. Maps were also produced for spring, summer, and fall. The data are derived from Landsat TM 5 scenes and extensive ground-truth information. The maps focus primarily on agricultural land-use: crop and pasture lands. The maps consist of a broad based inventory of land-use and land-cover. Map categories fall with 6 broad "Level 1" categories: water, forest, barren, herbaceous, agricultural lands, and urban. Specific Level 1 land-use categories: agriculture and urban are broken into more discrete, "Level 2" land-use subcategories: e.g. crop type, pasture type. Catagory LULC_NAME 10 Urban 11 Urban: Intensity 1 12 Urban: Intensity 2 13 Urban: Intensity 3 14 Urban: Other 30 Barren Land 31 Barren Land 40 Water 41 Water: Perennial 42 Water: Flooded 50 Herbaceous/Woody/Transitional 51 Herbaceous/Woody/Transitional 100 Forest Unclassified 101 Forest Unclassified / Transitional 200 Cropland 201 Soybeans 202 Rice 203 Cotton 204 Wheat/Oats 205 Sorghum/Corn 206 Other Cropland 208 Bare Soil/Seedbed 209 Warm Season Grasses 210 Cool Season Grasses; abstract: This map depicts the land-use and land-cover of Arkansas as it occurred in the year 2004, and is one of three statewide map layers designed to show land-use changes throughout the year. Maps were also produced for spring, summer, and fall. The data are derived from Landsat TM 5 scenes and extensive ground-truth information. The maps focus primarily on agricultural land-use: crop and pasture lands. The maps consist of a broad based inventory of land-use and land-cover. Map categories fall with 6 broad "Level 1" categories: water, forest, barren, herbaceous, agricultural lands, and urban. Specific Level 1 land-use categories: agriculture and urban are broken into more discrete, "Level 2" land-use subcategories: e.g. crop type, pasture type. Catagory LULC_NAME 10 Urban 11 Urban: Intensity 1 12 Urban: Intensity 2 13 Urban: Intensity 3 14 Urban: Other 30 Barren Land 31 Barren Land 40 Water 41 Water: Perennial 42 Water: Flooded 50 Herbaceous/Woody/Transitional 51 Herbaceous/Woody/Transitional 100 Forest Unclassified 101 Forest Unclassified / Transitional 200 Cropland 201 Soybeans 202 Rice 203 Cotton 204 Wheat/Oats 205 Sorghum/Corn 206 Other Cropland 208 Bare Soil/Seedbed 209 Warm Season Grasses 210 Cool Season Grasses

Market Hotness: Listing Views per Property in Pulaski County, AR was -31.06688 % Chg. from Yr. Ago in May of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Listing Views per Property in Pulaski County, AR reached a record high of 177.43057 in April of 2021 and a record low of -42.30813 in July of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Listing Views per Property in Pulaski County, AR - last updated from the United States Federal Reserve on July of 2025.

description: This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class. Special Surveys are non-PLSS survey areas from BLM survey records which represent federal parcels.; abstract: This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class. Special Surveys are non-PLSS survey areas from BLM survey records which represent federal parcels.

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.

This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 ½ minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class. The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.

Market Hotness: Listing Views per Property in Lonoke County, AR was -27.99106 % Chg. from Yr. Ago in May of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Listing Views per Property in Lonoke County, AR reached a record high of 245.86994 in April of 2021 and a record low of -49.66199 in September of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Listing Views per Property in Lonoke County, AR - last updated from the United States Federal Reserve on July of 2025.

Market Hotness: Listing Views per Property Versus the United States in Saline County, AR was 1.23199 Ratio in April of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Listing Views per Property Versus the United States in Saline County, AR reached a record high of 2.05441 in June of 2021 and a record low of 1.00000 in December of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Listing Views per Property Versus the United States in Saline County, AR - last updated from the United States Federal Reserve on May of 2025.

Market Hotness: Listing Views per Property in Jefferson County, AR was 1.06087 % Chg. in May of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Listing Views per Property in Jefferson County, AR reached a record high of 59.43628 in January of 2021 and a record low of -23.57563 in October of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Listing Views per Property in Jefferson County, AR - last updated from the United States Federal Reserve on July of 2025.

description: Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophoto quadrangle (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75 minutes of latitude by 3.75 minutes of longitude) image cast on the Universal Transverse Mercator projection (UTM) on the North American Datum of 1983 (NAD83). The geographic extent of the DOQ is equivalent to a quarter-quadrangle plus the over edge ranges from a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. The over edge is included to facilitate tonal matching for mosaicing and for the placement of the NAD83 and secondary datum corner ticks. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. This series of DOQs was produced as a part of the Arkansas Digital Orthophotography Program headed by the Arkansas State Land Information Board and the Arkansas Geographic Information Office. The aerial photography used to create the digital images was flown between January 15th and March 31st during 2000-2002. The images make use of three separate spectral bands to form a color infrared composite, which allows easier analysis of agriculture, land use, vegetation, and other features with infrared reflectance. Areas of high vegetative vigor appear bright red in color infrared imagery.; abstract: Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophoto quadrangle (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75 minutes of latitude by 3.75 minutes of longitude) image cast on the Universal Transverse Mercator projection (UTM) on the North American Datum of 1983 (NAD83). The geographic extent of the DOQ is equivalent to a quarter-quadrangle plus the over edge ranges from a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. The over edge is included to facilitate tonal matching for mosaicing and for the placement of the NAD83 and secondary datum corner ticks. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. This series of DOQs was produced as a part of the Arkansas Digital Orthophotography Program headed by the Arkansas State Land Information Board and the Arkansas Geographic Information Office. The aerial photography used to create the digital images was flown between January 15th and March 31st during 2000-2002. The images make use of three separate spectral bands to form a color infrared composite, which allows easier analysis of agriculture, land use, vegetation, and other features with infrared reflectance. Areas of high vegetative vigor appear bright red in color infrared imagery.