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NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet
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20210609
05172900
20210609
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FGDC
XTools Pro Metadata
Rick Fisher
Anne Arundel County, Office of Environmental and Cultural Resources
Engineer III
410-222-7441
2664 Riva Road 4th Floor (MS 6402)
Annapolis
Maryland
21401
US
rfisher@aacounty.org
Monday through Friday 7:30 AM - 4:00 PM
ArcGIS Metadata
1.0
Hala E. Flores, P.E.
Watersheds, Ecosystem and Restoration Services, Bureau of Engineering, Department of Public Works, Anne Arundel County Government, MD
Program Manager
410-222-4240 Ext 3320
410-222-7255
2664 Riva Road
Annapolis
Maryland
21401
US
hala.flores@aacounty.org
Monday through Friday 7:30 AM - 4:00 PM
Currently Not For Sale
For current information regarding the sale of this layer please check with Anne Arundel County Office of Environmental and Cultural Resources data distribution policy.
ESRI Personal GeoDatabase
Map Files: This category includes any digital maps that can be viewed in a mapping application. Maps created for ArcReader and ArcMap are examples of digital maps that fit into this category.
To be determined at the time of request.
Contact Hala Flores with a written request for the data and a description of it's intended use.
To be determined at the time of request.
ESRI Shapefile
Standard
1.488
withheld
1.488
Applications: This category includes custom-built GIS applications. These applications usually have a complete user interface Geographic Services: Geographic Services are Internet services that perform basic geoprocessing tasks such as address matching and buffering. Sometimes Geographic Services are simply referred to as GeoServices.
withheld
0.000
Enterprise Geodatabase Feature Class
Sanborn (Comp.)
320 Miller Ave., Suite 80
Ann Arbor
MI
48103
mvernier@sanborn.com
UNITED STATES
734.213.1060
734.213.1085
M-F 9-5
Anne Arundel County Office of Environmental and Cultural Resources
Annapolis, MD
Anne Arundel County, Office of Environmental and Cultural Resources
Land_Cover_2020
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Anne Arundel County, Maryland is interested in monitoring its changing land cover for planning, zoning and environmental protection purposes. The county is under increasing development pressure and needs to maintain an accurate land cover database so it may guide development in a sustainable way from both economic and environmental perspectives. The land cover layer was designed and built as a continuation of hand-digitized layers compiled in the 1990s. The current layer was completed using primarily automated methods and current high-resolution aerial imagery (6 inch resolution, leaf-off), as a comparison for cost and accuracy to the earlier automated and manually-produced datasets. This version was updated in 2011 using 4-band aerial imagery collected in the spring of 2011 by the State of Maryland. Areas that have undergone change in the period 2008-2011 were updated to reflect those changes, and any inconsistencies found in the 2008 dataset were corrected. An Urban Tree Canopy dataset produced in 2008 by the University of Vermont was used to provide estimates of tree canopy for each polygon, or map unit.</SPAN></P></DIV></DIV></DIV>
The goal of this project is to provide Anne Arundel County with an accurate representation of land cover in Anne Arundel County. The database is suitable for many planning and modeling purposes, but was designed and attributed for input into hydrological water runoff and nutrient loading models.
Hala E. Flores, P.E.
Watersheds, Ecosystem and Restoration Services, Bureau of Engineering, Department of Public Works, Anne Arundel County Government, MD
Program Manager
410-222-4240 Ext 3320
2664 Riva Road
Annapolis
Maryland
21401
US
hala.flores@aacounty.org
Monday through Friday 7:30 AM - 4:00 PM
ISO Thesaurus
Maryland
MD
Anne Arundel County
Anne Arundel County Geographic Data Use & Distribution Administrative Procedure
Land Cover
Earth Cover
Land Use
Priority Level 2 - Essential
Imagery
Land Cover
Maryland
Earth Cover
Land Use
MD
Priority Level 2 - Essential
Imagery
Anne Arundel County
By acceptance of the GIS material, you agree as follows: The GIS material (the "material") is made available by Anne Arundel County, Maryland (the "County") as a public service. The material is for reference purposes only, and the County makes no representatives, warranties, or guarantees of the accuracy of the material. THE COUNTY MAKES NO AND DISCLAIMS ALL EXPRESS AND IMPLIED WARRANTIES RELATING TO THE MATERIAL, INCLUDING WARRANTIES OF MERCHANTABILITY, INTEGRATION, TITLE, AND FITNESS FOR A PARTICULAR PURPOSE. You release the County, its agents, servants, and employees, from any and all liability related to the material or any of it, including its accuracy, availability, use, and misuse. In no event shall the County be liable for any direct, indirect, incidental, consequential, or other damages, including savings, profits, fees, costs, loss of data, or business interruption, related in any way to the material or any of it, including its accuracy, availability, use, and misuse. The material is in the public domain and may be copied without permission. Citation to the source is requested. Any errors or omissions in the material should be reported to the Anne Arundel County Office of Environmental and Cultural Resources Group.
Level 4 - Public Use - Data may be distributed on the Internet and Intranet.
Anne Arundel County Geographic Data Use and Distribution Policy
Level 4 - Public Use - Data may be distributed on the Internet and Intranet.
Level 4 - Public Use - Data may be distributed on the Internet and Intranet.
ground condition
Esri ArcGIS 12.7.0.26828
1
-76.841159
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39.237702
38.711769
Last metadata review date: 20120924
Validate topology: Must not have overlaps. Must not have gaps. Attribute "PCNT_IMPV": Not less than 0. Not more than 100. Surface features manually validated at 1:2500 scale from 2011 State of Maryland Aerial imagery. Tests used to check for data inconsistencies include the following: * Topology Rules (Must Not Overlap, Must Not Self-Intersect, Must Not Self-Overlap, and Must Be Single Part) using a File Geodatabase in the ArcGIS 10.1 (ArcInfo license level) environment. * Manual checks of each database field using the "sort ascending/descending" commands to ensure proper attribute population.
The source material coordinates are Maryland State Plane (North American Datum, 1983) with units in feet. The data are considered map accurate to a scale of 1:4,800 (1" = 400').
The 2008 update of this dataset was accomplished through comparison of the 2004 IKONOS imagery with 3-band aerial imagery collected in the spring of 2008. The new imagery was segmented using Definiens software, and for each segment, statistics were summarized for each band in the 2004 and 2008 imagery datasets. These statistics were normalized on the basis of the 2004 landuse classification using proprietary software. Thresholds were then developed to separate changed polygons from unchanged polygons. These polygons were then examined and labeled for their 2008 landuse class, and after a manual cleanup process, merged into the 2004 landuse dataset. Rules were developed for logical consistency when merging 2008 polygons into the 2004 dataset to flag any illogical change for further examination. Examples of this might include a residential polygon changing to forest, or high-density residential changing to low-density residential. Once illogical and inconsistent changes were examined, the entire dataset underwent Quality Control and Quality Assurance checks prior to submission to Anne Arundel County. In addition to 2008 updates, the following changes were made to the 2004 landuse dataset to create the 2008 version: landfills, which were given a label of industrial in 2004, were changed to reflect their actual land cover, usually open land. Certain older heavily-wooded residential areas were given a label of Residential Woods, based on interpretation by Anne Arundel County staff. Urban polygons, which in 2004 extended into large water bodies, were altered to reflect the actual shoreline based on the 2008 imagery. Residential landuse polygons were used to summarize a parcel layer provided by the county. From that summary, new labels were created to characterize them from Residential 1/8 acre to Residential 2-acre. Those previously identiffied as Residential Woods were excluded from the analysis.
Matt Vernier
Sanborn Map Company
Senior Remote Sensing Analyst
734.213.1060
734.213.1085
Suite 80
320 Miller Ave.
Ann Arbor
MI
48103
US
mvernier@sanborn.com
M-F 9-5
This first step details the workflow used to create the 2004 Landuse product from IKONOS imagery: Using a binary impervious surface classification created from the same IKONOS imagery used for the landuse classification, impervious features were labeled with a landuse layer created for Anne Arundel county in 1995. Roads were removed from this layer using the county's line road database, buffered according to road type (primary, secondary, tertiary). This left buildings, parking lots, and other structures The labeled impervious layer was then buffered using distances which depended on the landuse type. Residential types were buffered by 70 meters, and commercial and industrial types were buffered by 10 meters. When buffers of different types coincided, they were cut so that the meeting point was equidistant from the impervious surfaces (they met in the middle). An exception to this occurred when a residential type coincided with commercial or industrial. In those cases the commercial or industrial types took precedence, since their buffers were much smaller. The classification of developed classes was then examined for changes from the 1995 land use data. Areas that changed from one developed class to another, for example, would be labeled wrongly, whereas an area that was a natural landcover type in 1995 and developed in 2004 would have no label. In the 1995 landuse layer, many areas, especially in the northern portion of the county, were labeled as "governmental". These were re-examined for the current classification and re-labeled as residential, commercial, or industrial. Residential classes (1/8-acre to 2-acre) were identified by calculating the percentage of impervious surface within each residential buffer. Breakpoints for each residential class were calculated based on the number of visible lots/acre within randomly selected buffers. Major and Secondary roads were added into the layer using Anne Arundel county's road database. The result was then edited to clean up extraneous impervious buffers. Non-impervious features were segmented using eCognition software and the IKONOS imagery. The impervious buffers, produced earlier, were used in this model to define the developed areas. Pervious (natural) features were classified in eCognition using a combination of supervised training and a user-defined rule based using statistics derived from the IKONOS imagery. Adjacent polygons were then dissolved based on their given class. Attributes were reviewed for any unclassified or small polygons that needed to be dissolved into surrounding polygons or re-classified. Polygons were manually checked for inaccuracies, and edits were applied as needed. Zonal statistics were run using the land use classification and the complete impervious surface layer in order to calculate the percent of impervious surface in each land use polygon, and these statistics were written to the landuse layer's attribute table. A final check was conducted on all attributes for accuracy, and topology was built and validated for the dataset.
Matt Vernier
Sanborn
Senior Remote Sensing Analyst
734.213.1060 x306
734 213.1085
320 Miller Ave.
Suite 80
Ann Arbor
MI
48103
US
mvernier@sanborn.com
M-F 9-5
The 2011 update of this dataset was accomplished through comparison of the spring 2008 3-band imagery with imagery from the 2011 State of Maryland spring aerial collect. Unlike the previous process, this update began by comparing the newly-updated impervious dataset, compiled using the 2011 imagery and planimetric data, with the 2008 1 meter impervious. This procedure produced a change dataset showing gains, losses, and changes in impervious surfaces. The change dataset was given preliminary labels via a parcels dataset and manually checked for accuracy. The 2007 Urban Tree Canopy dataset was compared with the pervious classes from 2008 to label inconsistencies, which were flagged for manual checks. During this time, canopy losses on the scale of the Minimum Mapping Unit (0.25 acre) and above were also delineated. Changes from a pervious class to an impervious, or urban class, would be flagged through the first change detection. For this update, those residential polygons that had been given a label of Residential Woods in the 2004 and 2008 datasets were given labels reflecting the average parcel size, and the classification of Residential Woods was removed from the classification scheme. The 2007 Urban Tree Canopy dataset was summarized by each polygon in the land use dataset, and this percentage attached to the attribute table.
Once assembled, the entire dataset was checked for quality and topological errors by an independent analyst, and errors corrected if found.
Matt Vernier
Sanborn
Senior Remote Sensing Analyst
320 Miller Ave.
Ann Arbor
Michigan
48103
mvernier@sanborn.com
UNITED STATES
Suilte 80
734.213.1060
734.213.1085
M-F 9-5
Land_Cover_2020
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OBJECTID
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UPDATE_DAT
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Feature geometry.
ESRI
Coordinates defining the features.
Shape
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Shape.STLength()
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dataset
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