| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
Revitalizing Baltimore Data BES Dataset ID: 1 |
|
University of Maryland |
1998-1-1 |
|
Baltimore County; 1000 Hilltop Circle; Baltimore, MD 21250 |
Link to Dataset
|
Link to EML
|
|
Abstract:
1. Census block group data for residential areas; 2. City vacant house file; 3.
City vacant lot file; 4. City census block groups; 5. Gwynns Falls census block groups (City); 6. Gwynns Falls census block groups (County); 7.
City contours intervals (20’); 8. City watershed drainage boundaries; 9. City demography by census block group: education, housing, employment, income, and population; 10.
City census by block group: complete demographics, household, and socioecomic data;11. City neighborhood boundaries; 12. City parks >5 acres
12. Location and name of all City Recreation and Parks recreation centers; 13.City Recreation and Parks administrative districts; 14. Baltimore City Zoning |
|
|
| Title:
Social Stratification: Indices for the Metropolitan Statistical Area BES Dataset ID: 2 |
|
University of Maryland Baltimore County |
1998-1-1 |
|
Baltimore County; 1000 Hilltop Circle; Baltimore, MD 21250 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Not Available |
|
|
| Title:
Land Use BES Dataset ID: 3 |
|
University of Maryland Baltimore County |
1998-1-1 |
|
Baltimore County; 1000 Hilltop Circle; Baltimore, MD 21250 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Not Available |
|
|
| Title:
Census data BES Dataset ID: 4 |
|
University of Maryland Baltimore County |
1998-1-1 |
|
Baltimore County; 1000 Hilltop Circle; Baltimore, MD 21250 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Not Available |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
CONUS-Soil BES Dataset ID: 40 |
|
USDA |
1999-2-24 |
Environmental, Geographic Information System |
Raleigh, |
Not Available
|
Link to EML
|
|
Abstract:
Not Available |
|
|
| Title:
Gwynns Falls / Baltimore County 30 metre interpolated DEM BES Dataset ID: 41 |
|
David Tenenbaum , Email: davidten@email.unc.edu |
2000-11-12 |
Environmental, BES, Geographic Information System, Modeling, Physiological, Water, Elevation |
Chapel Hill, North Carolina |
Not Available
|
Link to EML
|
|
Abstract:
30 metre digital elevation model, produced by thin plate
spline interpolation of spot height provided by Baltimore
County.
Interpolation performed using ARC/INFO topogridtool with all
parameters left at standard values.
Spot height derived from surveyed points and contour vertices
from County's data.
Extent of DEM masked to reflect position and availability of
spot heights. |
|
|
| Title:
Geologic Map of the Gwynns Falls Watershed BES Dataset ID: 44 |
|
Dan Bain , Email: dbain@jhu.edu |
2000-11-30 |
Bedrock, Geology, BES |
Baltimore, MD |
Not Available
|
Link to EML
|
|
Abstract:
This is an extremely rough digitizing of the portions depicting the Gwynns Falls watershed of the following maps publisehd by the Maryland Geologic Survey:
Geologic Map of the Cockeysville Quadrangle, Maryland
by W. P. Crowley, J. Reinhardt, & E. T. Cleaves, 1975.
Geologic Map of the Reisterstown Quadrangle, Maryland
by W. P. Crowley, 1977
Geologic Map of the Baltimore West Quadrangle, Maryland
by W. P. Crowley and J. Reinhardt, 1979
Geologic Map of the Ellicott City Quadrangle, Maryland
by W. P. Crowley and J. Reinhardt, 1980 |
|
|
| Title:
Gwynns Falls watershed boundaries BES Dataset ID: 55 |
|
Terrestrial Hydrologic Ecosystem Modellers, lband@email.unc.edu |
2000-12-6 |
Geographic Information System, watershed, BES |
Chapel, Hill NC |
Not Available
|
Link to EML
|
|
Abstract:
The Gwynns Falls watershed boundaries were extracting using 30m DEM derived from Baltimore County spot height and USGS data.
The Baltimore County boundaries of the upper watershed were edited to correct
incongruncies between the boundaries that arose from using two data sets. |
|
|
| Title:
Gwynns Falls watershed boundaries BES Dataset ID: 57 |
|
Neely Law , Email: nlaw@email.unc.edu |
2001-1-3 |
Baltimore Ecosystem Study, BES, Geographic Information System, watershed, boundary |
Chapel Hill, NC |
Not Available
|
Link to EML
|
|
Abstract:
Delineation of gaged watershed boundaries for the Baltimore Ecosystem Study. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
Social Stratification Indices, 1970, Gwynns Falls Watershed, Baltimore, Maryland BES Dataset ID: 59 |
|
J. Morgan Grove , Email: jmgrove@att.net |
1996-6-1 |
Baltimore Ecosystem Study, BES, Class, environmental equity, environmental justice, Power, Race, Status, Wealth |
Baltimore, Maryland |
Not Available
|
Link to EML
|
|
Abstract:
The selection of variables and indices for the classification of block groups used the theoretical parameters identified by Logan and Molotch (1987), Choldin (1984) and Bullard (1990) in addition to adjustments recommended by Johnston (1976), Murdie (1976), and Hamm (1982). This method has been applied and tested previously for a number of cities in the United States. These earlier studies indicated that this social areas approach was appropriate for measuring residential social stratification (Bogue and Bogue 1976; Johnston 1976; Murdie 1976; Bogue 1984a; Bogue 1984b; Frisbie and Kasarda 1988). In order to construct the indices, socio-economic and household data were obtained from the 1970, 1980, and 1990 Census. |
|
|
| Title:
Gwynns Falls USGS 7.5' Quadrangle BES Dataset ID: 60 |
|
J. Morgan Grove , Email: jmgrove@att.net |
1998-1-1 |
Baltimore Ecosystem Study, BES, Elevation, Land |
Baltimore, Maryland |
Link to Dataset
|
Link to EML
|
|
Abstract:
This is a scanned image of the USGS 7.5 minute quadrangle for the area covering the Gwynns Falls Watershed. It is most useful as a base map. It has not been corrected with ground control points, so small spatial errors might exits. |
|
|
| Title:
300 meter sampling grid, Baltimore Ecosystem Study BES Dataset ID: 61 |
|
J. Morgan Grove , Email: jmgrove@att.net |
2001-1-1 |
Baltimore Ecosystem Study, BES, patch dynamics, field sampling, survey |
Baltimore, Maryland |
Link to Dataset
|
Link to EML
|
|
Abstract:
This gis dataset provides a basis for organizing, administering, and analyzing patch field survey data, specifically for the Demographic and Socioeconomic Teams 100 meter patch field survey form. |
|
|
| Title:
Social Stratification Indices, 1980, Gwynns Falls Watershed, Baltimore, Maryland BES Dataset ID: 62 |
|
J. Morgan Grove , Email: jmgrove@att.net |
1996-4-1 |
Baltimore Ecosystem Study, BES, Class, environmental equity, environmental justice, Power, Race, Status, Wealth |
Baltimore, Maryland |
Link to Dataset
|
Link to EML
|
|
Abstract:
The selection of variables and indices for the classification of block groups used the theoretical parameters identified by Logan and Molotch (1987), Choldin (1984) and Bullard (1990) in addition to adjustments recommended by Johnston (1976), Murdie (1976), and Hamm (1982). This method has been applied and tested previously for a number of cities in the United States. These earlier studies indicated that this social areas approach was appropriate for measuring residential social stratification (Bogue and Bogue 1976; Johnston 1976; Murdie 1976; Bogue 1984a; Bogue 1984b; Frisbie and Kasarda 1988). In order to construct the indices, socio-economic and household data were obtained from the 1970, 1980, and 1990 Census. In 1990, there were approximately 895 block groups which averaged 9.23 hectares in size. |
|
|
| Title:
100 meter sampling grid, Baltimore Ecosystem Study BES Dataset ID: 64 |
|
J. Morgan Grove , Email: jmgrove@att.net |
2001-1-1 |
Baltimore Ecosystem Study, BES, patch dynamics, field sampling, survey |
Baltimore, Maryland |
Link to Dataset
|
Link to EML
|
|
Abstract:
This gis dataset provides a basis for organizing, administering, and analyzing patch field survey data, specifically for the Demographic and Socioeconomic Teams 100 meter patch field survey form. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
National Land Cover Dataset (BES subset) BES Dataset ID: 80 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1999-5-27 |
Land Use, Land Cover, NLCD |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
These data can be used in a geographic information system (GIS) for any number of purposes such assessing wildlife habitat, water quality, pesticide runoff, land use change, etc. The State data sets are provided with a 300 meter buffer beyond the State border to faciliate combining the State files into larger regions.
The user must have a firm understanding of how the datasets were compiled andthe resulting limitations of these data. The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large, sometimes multi-State image mosaics (i.e. up to 18 Landsat scenes). Using a relatively small number of aerial photographs for 'ground truth', the thematic interpretations were necessarily conducted from a spatially-broad perspective. Furthermore, the accuracy assessments (see below) correspond to 'federal regions' which are groupings of contiguous States. Thus, the reliability of the data is greatest at the State or multi-State level. The statistical accuracy of the data is known only for the region.
Important Caution Advisory
With this in mind, users are cautioned to carefully scrutinize the data to see if they are of sufficient reliability before attempting to use the dataset for larger-scale or local analyses. This evaluation must be made that the NLCD represents conditions in the early 1990s.
The Maryland portion of the NLCD was created as part of land cover mapping activities for Federal Region III that includes the States of, Delaware, Pennsylvania, Virginia, West Virginia, and the District of Columbia. The NLCD classification contains 21 different land cover categories with a spatial resolution of 30 meters. The NLCD was produced as a cooperative effort between the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (US EPA) to produce a, land cover data layer for the conterminous U.S. using early 1990s Landsat thematic mapper (TM) data purchased by the Multi-resolution Characterization (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies that produce or use land cover data. Partners include the USGS (National Mapping, Biological Resources, and Divisions), US EPA, the U.S. Forest Service, and the National Oceanic and Atmospheric Administration.
|
|
|
| Title:
National Elevation Dataset (BES subset) BES Dataset ID: 81 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1905-6-21 |
Topography, Elevation, NED, DEM, Terrain Elevation, Digital Elevation Model |
Burlinton, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
The USGS National Elevation Dataset (NED) has been developed by merging the highest-resolution, best-quality elevation data available across the United States into a seamless raster format. NED is the result of the maturation of the USGS effort to provide 1:24,000-scale Digital Elevation Model (DEM) data with NAD83 datum for the conterminous US and Hawaii, and 1:63,360-scale DEM data with NAD27 datum for Alaska. |
|
|
| Title:
Shuttle Radar Topography Mission (SRTM) Elevation Dataset BES Dataset ID: 82 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1905-6-24 |
DEM, SRTM, Digital Elevation Model, Topography, Elevation |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Note: This an initial release of the SRTM dataset, errors do exist. The Shuttle Radar Topography Mission (SRTM) aboard the Space Shuttle Endeavour, launched on Feb. 11, 2000. SRTM used the same radar instrument that comprised the Spaceborne Imaging Radar-C/X-Band Synthetic Aperture Radar (SIR-C/X-SAR) that flew twice on the Space Shuttle Endeavour in 1994. SRTM was assigned to collect 3-D measurements of the Earth's surface. To collect the 3-D data, engineers added a 60-meter (approximately 200-foot) mast, installed additional C-band and X-band antennas, and improved tracking and navigation devices. The mission is a cooperative project between NASA, the National Imagery and Mapping Agency (NIMA) of the U.S. Department of Defense and the German and Italian space agencies. It is managed by NASA's Jet Propulsion Laboratory (JPL), Pasadena, CA, for NASA's Earth Science Enterprise, Washington, D.C.
|
|
|
| Title:
National Land Cover Dataset (BES subset) BES Dataset ID: 85 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1999-5-27 |
Land Use, Land Cover, NLCD |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
These data can be used in a geographic information system (GIS) for any number of purposes such assessing wildlife habitat, water quality, pesticide runoff, land use change, etc. The State data sets are provided with a 300 meter buffer beyond the State border to faciliate combining the State files into larger regions.
The user must have a firm understanding of how the datasets were compiled andthe resulting limitations of these data. The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large, sometimes multi-State image mosaics (i.e. up to 18 Landsat scenes). Using a relatively small number of aerial photographs for 'ground truth', the thematic interpretations were necessarily conducted from a spatially-broad perspective. Furthermore, the accuracy assessments (see below) correspond to 'federal regions' which are groupings of contiguous States. Thus, the reliability of the data is greatest at the State or multi-State level. The statistical accuracy of the data is known only for the region.
Important Caution Advisory
With this in mind, users are cautioned to carefully scrutinize the data to see if they are of sufficient reliability before attempting to use the dataset for larger-scale or local analyses. This evaluation must be made that the NLCD represents conditions in the early 1990s.
The Maryland portion of the NLCD was created as part of land cover mapping activities for Federal Region III that includes the States of, Delaware, Pennsylvania, Virginia, West Virginia, and the District of Columbia. The NLCD classification contains 21 different land cover categories with a spatial resolution of 30 meters. The NLCD was produced as a cooperative effort between the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (US EPA) to produce a, land cover data layer for the conterminous U.S. using early 1990s Landsat thematic mapper (TM) data purchased by the Multi-resolution Characterization (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies that produce or use land cover data. Partners include the USGS (National Mapping, Biological Resources, and Divisions), US EPA, the U.S. Forest Service, and the National Oceanic and Atmospheric Administration.
|
|
|
| Title:
National Elevation Dataset (BES subset) BES Dataset ID: 86 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1905-6-21 |
Topography, Elevation, NED, DEM, Terrain Elevation, Digital Elevation Model |
Burlinton, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
The USGS National Elevation Dataset (NED) has been developed by merging the highest-resolution, best-quality elevation data available across the United States into a seamless raster format. NED is the result of the maturation of the USGS effort to provide 1:24,000-scale Digital Elevation Model (DEM) data with NAD83 datum for the conterminous US and Hawaii, and 1:63,360-scale DEM data with NAD27 datum for Alaska. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
Shuttle Radar Topography Mission (SRTM) Elevation Dataset BES Dataset ID: 87 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1905-6-24 |
DEM, SRTM, Digital Elevation Model, Topography, Elevation |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Note: This an initial release of the SRTM dataset, errors do exist. The Shuttle Radar Topography Mission (SRTM) aboard the Space Shuttle Endeavour, launched on Feb. 11, 2000. SRTM used the same radar instrument that comprised the Spaceborne Imaging Radar-C/X-Band Synthetic Aperture Radar (SIR-C/X-SAR) that flew twice on the Space Shuttle Endeavour in 1994. SRTM was assigned to collect 3-D measurements of the Earth's surface. To collect the 3-D data, engineers added a 60-meter (approximately 200-foot) mast, installed additional C-band and X-band antennas, and improved tracking and navigation devices. The mission is a cooperative project between NASA, the National Imagery and Mapping Agency (NIMA) of the U.S. Department of Defense and the German and Italian space agencies. It is managed by NASA's Jet Propulsion Laboratory (JPL), Pasadena, CA, for NASA's Earth Science Enterprise, Washington, D.C.
|
|
|
| Title:
socdem2000 (Baltimore socio-demographic data for 2000) TEST BES Dataset ID: 102 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
2003-6-18 |
census |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The dataset was created in Geolytics Map feature and exported into ArcGIS. It represents census data from 2000 at the block group level for the five county Baltimore metropolitan area. For more complete descriptions of the attributes go to the geolytics website at www.censuscd.com or the US Census website. |
|
|
| Title:
socdemncdb (Baltimore socio-demographic data for 1970-2000) BES Dataset ID: 105 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
2003-7-15 |
census |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The dataset was created in Geolytics Map feature and exported into ArcGIS. It represents census data from 1970-2000 at the tract level (normalized to 2000 tract boundaries) for the five county Baltimore metropolitan area. For more complete descriptions of the attributes go to the geolytics website at www.censuscd.com or the US Census website. |
|
|
| Title:
Baltimore Infant Mortality Dataset; Circa 1880 BES Dataset ID: 107 |
|
Morgan Grove , Email: mgrove@fs.fed.us |
2002-12-12 |
Infant, Mortality, Public Health, Land Use, Wards, Historic |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
This dataset consists of infant mortality data, land use, and ward information for Baltimore, MD; circa 1876. Separate shapefiles exist for each theme, infant mortality, land use, and wards respectively. |
|
|
| Title:
BES Roads BES Dataset ID: 108 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
2002-12-12 |
Roads, Transportation, Infrastructure |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
BES subset of the national TIGER road data; contains road networks for the following counties: Carroll, Howard, Anne Arundel, Baltimore County, Baltimore City, and Harford.
TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types
|
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
Baltimore County and Baltimore City Forest Areas by Commercial Types (circa 1914). BES Dataset ID: 109 |
|
Morgan Grove , Email: mgrove@fs.fed.us |
2002-11-18 |
Forestry, Timber, Historical |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Note: Full metadata pending Buckley.
Forest areas by commercial type for Baltimore County and City circa 1914. Forest types identified include merchantable hardwoods, culled hardwoods, hardwood saplings, scrub pine, scrub pine saplings, and mixed hardwoods and scrub pine. Statistical data on the amount of saw timber per acre by forest type is also presented. In addition to showing the forest stand data the map has very detailed transportation, urban area, hydrological, and topographic features.
The map was scanned at a resolution of approximately 4.3 meters, it was then georeferenced using 22 control points from 1:100000 hydrologic and transportation data and rectified to UTM Zone 18N, NAD83. The cell size on the rectified map was set to 10m in order to reduce the size of the rectified map. A full resolution version is available on request.
Please use caution when using this dataset since significant positional inaccuracies to exist.
|
|
|
| Title:
National Land Cover Dataset (BES subset) BES Dataset ID: 111 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1999-5-27 |
Land Use, Land Cover, NLCD |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
These data can be used in a geographic information system (GIS) for any number of purposes such assessing wildlife habitat, water quality, pesticide runoff, land use change, etc. The State data sets are provided with a 300 meter buffer beyond the State border to faciliate combining the State files into larger regions.
The user must have a firm understanding of how the datasets were compiled andthe resulting limitations of these data. The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large, sometimes multi-State image mosaics (i.e. up to 18 Landsat scenes). Using a relatively small number of aerial photographs for 'ground truth', the thematic interpretations were necessarily conducted from a spatially-broad perspective. Furthermore, the accuracy assessments (see below) correspond to 'federal regions' which are groupings of contiguous States. Thus, the reliability of the data is greatest at the State or multi-State level. The statistical accuracy of the data is known only for the region.
Important Caution Advisory
With this in mind, users are cautioned to carefully scrutinize the data to see if they are of sufficient reliability before attempting to use the dataset for larger-scale or local analyses. This evaluation must be made that the NLCD represents conditions in the early 1990s.
The Maryland portion of the NLCD was created as part of land cover mapping activities for Federal Region III that includes the States of, Delaware, Pennsylvania, Virginia, West Virginia, and the District of Columbia. The NLCD classification contains 21 different land cover categories with a spatial resolution of 30 meters. The NLCD was produced as a cooperative effort between the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (US EPA) to produce a, land cover data layer for the conterminous U.S. using early 1990s Landsat thematic mapper (TM) data purchased by the Multi-resolution Characterization (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies that produce or use land cover data. Partners include the USGS (National Mapping, Biological Resources, and Divisions), US EPA, the U.S. Forest Service, and the National Oceanic and Atmospheric Administration.
|
|
|
| Title:
National Elevation Dataset (BES subset) BES Dataset ID: 112 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1905-6-21 |
Topography, Elevation, NED, DEM, Terrain Elevation, Digital Elevation Model |
Burlinton, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
The USGS National Elevation Dataset (NED) has been developed by merging the highest-resolution, best-quality elevation data available across the United States into a seamless raster format. NED is the result of the maturation of the USGS effort to provide 1:24,000-scale Digital Elevation Model (DEM) data with NAD83 datum for the conterminous US and Hawaii, and 1:63,360-scale DEM data with NAD27 datum for Alaska. |
|
|
| Title:
Shuttle Radar Topography Mission (SRTM) Elevation Dataset BES Dataset ID: 113 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1905-6-24 |
DEM, SRTM, Digital Elevation Model, Topography, Elevation |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Note: This an initial release of the SRTM dataset, errors do exist. The Shuttle Radar Topography Mission (SRTM) aboard the Space Shuttle Endeavour, launched on Feb. 11, 2000. SRTM used the same radar instrument that comprised the Spaceborne Imaging Radar-C/X-Band Synthetic Aperture Radar (SIR-C/X-SAR) that flew twice on the Space Shuttle Endeavour in 1994. SRTM was assigned to collect 3-D measurements of the Earth's surface. To collect the 3-D data, engineers added a 60-meter (approximately 200-foot) mast, installed additional C-band and X-band antennas, and improved tracking and navigation devices. The mission is a cooperative project between NASA, the National Imagery and Mapping Agency (NIMA) of the U.S. Department of Defense and the German and Italian space agencies. It is managed by NASA's Jet Propulsion Laboratory (JPL), Pasadena, CA, for NASA's Earth Science Enterprise, Washington, D.C.
|
|
|
| Title:
socdem90 (Baltimore socio-demographic data for 1990) BES Dataset ID: 114 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
2003-7-15 |
census |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The dataset was created in Geolytics Map feature and exported into ArcGIS. It represents census data from 1990 at the block group level for the five county Baltimore metropolitan area. For more complete descriptions of the attributes go to the geolytics website at www.censuscd.com or the US Census website. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
socdem1980 (Baltimore socio-demographic data for 1980) BES Dataset ID: 115 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
2003-7-15 |
census |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The dataset was created in Geolytics Map feature and exported into ArcGIS. It represents census data from 1980 at the block group level for the five county Baltimore metropolitan area. For more complete descriptions of the attributes go to the geolytics website at www.censuscd.com or the US Census website. |
|
|
| Title:
prizm lawncare BES Dataset ID: 116 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
1905-6-25 |
prizm, lawncare |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
This shapefile was created from a PRIZM dataset. It includes block groups from the Baltimore Metropolitan area and the PRIZM 62 codes as well as aggregate and per HH expenditures on gardening/lawn care services, lawn/garden supplies, repair/rental of lawnmowing equip, and yard machinery from Claritas. For more complete descriptions see the excel file. |
|
|
| Title:
age_1940 BES Dataset ID: 117 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on age for the City of Baltimore, Maryland |
|
|
| Title:
ancestry_1940 BES Dataset ID: 118 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on ancestry for the City of Baltimore, Maryland |
|
|
| Title:
dwelling_1940 BES Dataset ID: 119 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on dwelling for the City of Baltimore, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
education_1940 BES Dataset ID: 120 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on education for the City of Baltimore, Maryland |
|
|
| Title:
employment_1940 BES Dataset ID: 121 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on employment for the City of Baltimore, Maryland |
|
|
| Title:
pop_1940 BES Dataset ID: 122 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on population for the City of Baltimore, Maryland |
|
|
| Title:
age_1950 BES Dataset ID: 123 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on age for the City of Baltimore, Maryland |
|
|
| Title:
ancestry_1950 BES Dataset ID: 124 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on ancestry for the City of Baltimore, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
dwellings_1950 BES Dataset ID: 125 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on dwellings for the City of Baltimore, Maryland |
|
|
| Title:
education_1950 BES Dataset ID: 126 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on education for the City of Baltimore, Maryland |
|
|
| Title:
employment_1950 BES Dataset ID: 127 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on employment for the City of Baltimore, Maryland |
|
|
| Title:
income_1950 BES Dataset ID: 128 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on income for the City of Baltimore, Maryland |
|
|
| Title:
marriage_1950 BES Dataset ID: 129 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on marriage for the City of Baltimore, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
pop_1950 BES Dataset ID: 130 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on population for the City of Baltimore, Maryland |
|
|
| Title:
age_1960 BES Dataset ID: 131 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on age for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
ancestry_1960 BES Dataset ID: 132 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on ancestry for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
education_1960 BES Dataset ID: 133 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on education for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
employment_1960 BES Dataset ID: 134 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on employment for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
household relationship_1960 BES Dataset ID: 135 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on household relationship for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
housing_1960 BES Dataset ID: 136 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on housing for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
income_1960 BES Dataset ID: 137 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on income for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
marital_1960 BES Dataset ID: 138 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on marital status for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
pop_1960 BES Dataset ID: 139 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on population for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
race_1960 BES Dataset ID: 140 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on race for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
residence_1960 BES Dataset ID: 141 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on residence for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
1790 Census Data BES Dataset ID: 142 |
|
NA in xml file |
1998-1-1 |
census data, census, population, demographic, social, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Published census data (1790) for the five county area of the Baltimore Ecosystem Study. |
|
|
| Title:
data BES Dataset ID: 143 |
|
NA in xml file |
1998-1-1 |
census data, census, population, demographic, social, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Published census data (1800) for the five county area of the Baltimore Ecosystem Study. |
|
|
| Title:
National Elevation Dataset (NED) BES Dataset ID: 144 |
|
UVM Spatial Analysis Lab |
1998-1-1 |
DIGITAL MAPPING , NA in xml file |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The USGS National Elevation Dataset (NED) has been developed by merging the highest-resolution, best-quality elevation data available across the United States into a seamless raster format. NED is the result of the maturation of the USGS effort to provide 1:24,000-scale Digital Elevation Model (DEM) data with NAD83 datum for the conterminous US and Hawaii, and 1:63,360-scale DEM data with NAD27 datum for Alaska. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
Sewer Lines of Baltimore, 1919 BES Dataset ID: 149 |
|
NA in xml file |
1998-1-1 |
Sewer, Infrastructure, Wastewater, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Digitzed sewer lines in Baltimore, 1919 |
|
|
| Title:
landuse BES Dataset ID: 150 |
|
NA in xml file |
1998-1-1 |
land use, Baltimore, MD, Hopkins Atlas, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Generalized land use in Baltimore City Using 1876 Hopkins Atlas |
|
|
| Title:
1910shape BES Dataset ID: 151 |
|
NA in xml file |
1998-1-1 |
enumeration districts, population characteristics, Baltimore, MD, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1910 Map of Enumeration Districts for the City of Baltimore |
|
|
| Title:
parcels_1901 BES Dataset ID: 152 |
|
NA in xml file |
1998-1-1 |
land use, historic maps, Baltimore, Pigtown, Washington Village, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Digitized map of parcels for Pigtown neighborhood in 1901 from Sanborns |
|
|
| Title:
wards BES Dataset ID: 153 |
|
NA in xml file |
1998-1-1 |
wards, baltimore, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
digitized ward boundaries for Baltimore City 1880 |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
landuse BES Dataset ID: 158 |
|
NA in xml file |
1998-1-1 |
land use, Baltimore, MD, Hopkins Atlas, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Generalized land use in Baltimore City Using 1876 Hopkins Atlas |
|
|
| Title:
1910shape BES Dataset ID: 159 |
|
NA in xml file |
1998-1-1 |
enumeration districts, population characteristics, Baltimore, MD, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1910 Map of Enumeration Districts for the City of Baltimore |
|
|
| Title:
parcels_1901 BES Dataset ID: 160 |
|
NA in xml file |
1998-1-1 |
land use, historic maps, Baltimore, Pigtown, Washington Village, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Digitized map of parcels for Pigtown neighborhood in 1901 from Sanborns |
|
|
| Title:
wards BES Dataset ID: 161 |
|
NA in xml file |
1998-1-1 |
wards, baltimore, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
digitized ward boundaries for Baltimore City 1880 |
|
|
| Title:
Baltimore Infant Mortality Dataset; Circa 1880 BES Dataset ID: 162 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
2002-12-12 |
Infant, Mortality, Public Health, Land Use, Wards, Historic |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
This dataset consists of infant mortality data, land use, and ward information for Baltimore, MD; circa 1876. Separate shapefiles exist for each theme, infant mortality, land use, and wards respectively. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
BES Roads BES Dataset ID: 163 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
2002-12-12 |
Roads, Transportation, Infrastructure |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
BES subset of the national TIGER road data; contains road networks for the following counties: Carroll, Howard, Anne Arundel, Baltimore County, Baltimore City, and Harford.
TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types
|
|
|
| Title:
Baltimore County and Baltimore City Forest Areas by Commercial Types (circa 1914). BES Dataset ID: 164 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
2002-11-18 |
Forestry, Timber, Historical |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Note: Full metadata pending Buckley.
Forest areas by commercial type for Baltimore County and City circa 1914. Forest types identified include merchantable hardwoods, culled hardwoods, hardwood saplings, scrub pine, scrub pine saplings, and mixed hardwoods and scrub pine. Statistical data on the amount of saw timber per acre by forest type is also presented. In addition to showing the forest stand data the map has very detailed transportation, urban area, hydrological, and topographic features.
The map was scanned at a resolution of approximately 4.3 meters, it was then georeferenced using 22 control points from 1:100000 hydrologic and transportation data and rectified to UTM Zone 18N, NAD83. The cell size on the rectified map was set to 10m in order to reduce the size of the rectified map. A full resolution version is available on request.
Please use caution when using this dataset since significant positional inaccuracies to exist.
|
|
|
| Title:
National Land Cover Dataset (BES subset) BES Dataset ID: 165 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1999-5-27 |
Land Use, Land Cover, NLCD |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
These data can be used in a geographic information system (GIS) for any number of purposes such assessing wildlife habitat, water quality, pesticide runoff, land use change, etc. The State data sets are provided with a 300 meter buffer beyond the State border to faciliate combining the State files into larger regions.
The user must have a firm understanding of how the datasets were compiled andthe resulting limitations of these data. The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large, sometimes multi-State image mosaics (i.e. up to 18 Landsat scenes). Using a relatively small number of aerial photographs for 'ground truth', the thematic interpretations were necessarily conducted from a spatially-broad perspective. Furthermore, the accuracy assessments (see below) correspond to 'federal regions' which are groupings of contiguous States. Thus, the reliability of the data is greatest at the State or multi-State level. The statistical accuracy of the data is known only for the region.
Important Caution Advisory
With this in mind, users are cautioned to carefully scrutinize the data to see if they are of sufficient reliability before attempting to use the dataset for larger-scale or local analyses. This evaluation must be made that the NLCD represents conditions in the early 1990s.
The Maryland portion of the NLCD was created as part of land cover mapping activities for Federal Region III that includes the States of, Delaware, Pennsylvania, Virginia, West Virginia, and the District of Columbia. The NLCD classification contains 21 different land cover categories with a spatial resolution of 30 meters. The NLCD was produced as a cooperative effort between the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (US EPA) to produce a, land cover data layer for the conterminous U.S. using early 1990s Landsat thematic mapper (TM) data purchased by the Multi-resolution Characterization (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies that produce or use land cover data. Partners include the USGS (National Mapping, Biological Resources, and Divisions), US EPA, the U.S. Forest Service, and the National Oceanic and Atmospheric Administration.
|
|
|
| Title:
National Elevation Dataset (BES subset) BES Dataset ID: 166 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1905-6-21 |
Topography, Elevation, NED, DEM, Terrain Elevation, Digital Elevation Model |
Burlinton, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
The USGS National Elevation Dataset (NED) has been developed by merging the highest-resolution, best-quality elevation data available across the United States into a seamless raster format. NED is the result of the maturation of the USGS effort to provide 1:24,000-scale Digital Elevation Model (DEM) data with NAD83 datum for the conterminous US and Hawaii, and 1:63,360-scale DEM data with NAD27 datum for Alaska. |
|
|
| Title:
socdem2000 (Baltimore socio-demographic data for 2000) BES Dataset ID: 167 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
2003-6-18 |
census |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The dataset was created in Geolytics Map feature and exported into ArcGIS. It represents census data from 2000 at the block group level for the five county Baltimore metropolitan area. For more complete descriptions of the attributes go to the geolytics website at www.censuscd.com or the US Census website. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
socdemncdb (Baltimore socio-demographic data for 1970-2000) BES Dataset ID: 168 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
2003-7-15 |
census |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The dataset was created in Geolytics Map feature and exported into ArcGIS. It represents census data from 1970-2000 at the tract level (normalized to 2000 tract boundaries) for the five county Baltimore metropolitan area. For more complete descriptions of the attributes go to the geolytics website at www.censuscd.com or the US Census website. |
|
|
| Title:
dwelling_1940 BES Dataset ID: 169 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on dwelling for the City of Baltimore, Maryland |
|
|
| Title:
education_1940 BES Dataset ID: 170 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on education for the City of Baltimore, Maryland |
|
|
| Title:
employment_1940 BES Dataset ID: 171 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on employment for the City of Baltimore, Maryland |
|
|
| Title:
prizm lawncare BES Dataset ID: 172 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
1905-6-25 |
prizm, lawncare |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
This shapefile was created from a PRIZM dataset. It includes block groups from the Baltimore Metropolitan area and the PRIZM 62 codes as well as aggregate and per HH expenditures on gardening/lawn care services, lawn/garden supplies, repair/rental of lawnmowing equip, and yard machinery from Claritas. For more complete descriptions see the excel file. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
age_1940 BES Dataset ID: 173 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on age for the City of Baltimore, Maryland |
|
|
| Title:
ancestry_1940 BES Dataset ID: 174 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on ancestry for the City of Baltimore, Maryland |
|
|
| Title:
marriage_1950 BES Dataset ID: 175 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on marriage for the City of Baltimore, Maryland |
|
|
| Title:
pop_1950 BES Dataset ID: 176 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on population for the City of Baltimore, Maryland |
|
|
| Title:
age_1960 BES Dataset ID: 177 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on age for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
ancestry_1960 BES Dataset ID: 178 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on ancestry for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
education_1960 BES Dataset ID: 179 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on education for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
employment_1960 BES Dataset ID: 180 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on employment for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
household relationship_1960 BES Dataset ID: 181 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on household relationship for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
dwelling_1940 BES Dataset ID: 182 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on dwelling for the City of Baltimore, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
dwelling_1940 BES Dataset ID: 183 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on dwelling for the City of Baltimore, Maryland |
|
|
| Title:
pop_1940 BES Dataset ID: 184 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1940 census data on population for the City of Baltimore, Maryland |
|
|
| Title:
age_1950 BES Dataset ID: 185 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on age for the City of Baltimore, Maryland |
|
|
| Title:
ancestry_1950 BES Dataset ID: 186 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on ancestry for the City of Baltimore, Maryland |
|
|
| Title:
dwellings_1950 BES Dataset ID: 187 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on dwellings for the City of Baltimore, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
education_1950 BES Dataset ID: 188 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on education for the City of Baltimore, Maryland |
|
|
| Title:
employment_1950 BES Dataset ID: 189 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on employment for the City of Baltimore, Maryland |
|
|
| Title:
income_1950 BES Dataset ID: 190 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1950 census data on income for the City of Baltimore, Maryland |
|
|
| Title:
Shuttle Radar Topography Mission (SRTM) Elevation Dataset BES Dataset ID: 191 |
|
Austin Troy , Email: atroy@zoo.uvm.edu |
1905-6-24 |
DEM, SRTM, Digital Elevation Model, Topography, Elevation |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Note: This an initial release of the SRTM dataset, errors do exist. The Shuttle Radar Topography Mission (SRTM) aboard the Space Shuttle Endeavour, launched on Feb. 11, 2000. SRTM used the same radar instrument that comprised the Spaceborne Imaging Radar-C/X-Band Synthetic Aperture Radar (SIR-C/X-SAR) that flew twice on the Space Shuttle Endeavour in 1994. SRTM was assigned to collect 3-D measurements of the Earth's surface. To collect the 3-D data, engineers added a 60-meter (approximately 200-foot) mast, installed additional C-band and X-band antennas, and improved tracking and navigation devices. The mission is a cooperative project between NASA, the National Imagery and Mapping Agency (NIMA) of the U.S. Department of Defense and the German and Italian space agencies. It is managed by NASA's Jet Propulsion Laboratory (JPL), Pasadena, CA, for NASA's Earth Science Enterprise, Washington, D.C.
|
|
|
| Title:
socdem90 (Baltimore socio-demographic data for 1990) BES Dataset ID: 192 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
2003-7-15 |
census |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The dataset was created in Geolytics Map feature and exported into ArcGIS. It represents census data from 1990 at the block group level for the five county Baltimore metropolitan area. For more complete descriptions of the attributes go to the geolytics website at www.censuscd.com or the US Census website. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
socdem1980 (Baltimore socio-demographic data for 1980) BES Dataset ID: 193 |
|
Molly Michaud , Email: Molly.Michaud@uvm.edu |
2003-7-15 |
census |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The dataset was created in Geolytics Map feature and exported into ArcGIS. It represents census data from 1980 at the block group level for the five county Baltimore metropolitan area. For more complete descriptions of the attributes go to the geolytics website at www.censuscd.com or the US Census website. |
|
|
| Title:
housing_1960 BES Dataset ID: 194 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on housing for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
income_1960 BES Dataset ID: 195 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on income for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
marital_1960 BES Dataset ID: 196 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on marital status for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
pop_1960 BES Dataset ID: 197 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on population for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
race_1960 BES Dataset ID: 198 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on race for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
residence_1960 BES Dataset ID: 199 |
|
NA in xml file |
1998-1-1 |
Census data, Baltimore, Maryland, age, demographic data, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
1960 census data on residence for the City of Baltimore and selected suburban tracts, Maryland |
|
|
| Title:
1790 Census Data BES Dataset ID: 200 |
|
NA in xml file |
1998-1-1 |
census data, census, population, demographic, social, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Published census data (1790) for the five county area of the Baltimore Ecosystem Study. |
|
|
| Title:
data BES Dataset ID: 201 |
|
NA in xml file |
1998-1-1 |
census data, census, population, demographic, social, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Published census data (1800) for the five county area of the Baltimore Ecosystem Study. |
|
|
| Title:
National Elevation Dataset (NED) BES Dataset ID: 202 |
|
UVM Spatial Analysis Lab |
1998-1-1 |
DIGITAL MAPPING , NA in xml file |
Burlington, VT |
Not Available
|
Link to EML
|
|
Abstract:
The USGS National Elevation Dataset (NED) has been developed by merging the highest-resolution, best-quality elevation data available across the United States into a seamless raster format. NED is the result of the maturation of the USGS effort to provide 1:24,000-scale Digital Elevation Model (DEM) data with NAD83 datum for the conterminous US and Hawaii, and 1:63,360-scale DEM data with NAD27 datum for Alaska. |
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
Sewer Lines of Baltimore, 1919 BES Dataset ID: 203 |
|
NA in xml file |
1998-1-1 |
Sewer, Infrastructure, Wastewater, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
Digitzed sewer lines in Baltimore, 1919 |
|
|
| Title:
Infant Mortality, Baltimore, MD; Circa 1880 BES Dataset ID: 206 |
|
Christopher Boone |
1905-6-23 |
Public Health, NA in xml file |
University of Vermont |
Link to Dataset
|
Link to EML
|
|
Abstract:
Geographical location of infant deaths, Baltimore, Maryland; circa 1880. See attached text for more information. |
|
|
| Title:
Urban Historical Boundaries, 1792 BES Dataset ID: 207 |
|
UVM Spatial Analysis Lab |
2002-11-25 |
Urban development, NA in xml file |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Urban area boundaries for 1792, 1801, 1822, 1850, 1878, 1900, 1925, 1938, 1953, 1966, 1972, 1982, and 1992; part of the Baltimore-Washington Spatial Dynamics and Human Impacts dataset.
The Baltimore-Washington Spatial Dynamics and Human Impacts dataset is an integrated and flexible temporal urban land characteristics database for the Baltimore-Washington metropolitan area. The compilation of this data is a collaborative effort led by the U.S. Geological Survey and the University of Maryland Baltimore County. The database provides visual and historical perspective of the urban growth experienced in the area between 1792 and 1992. Data on built-up areas exists as separate geographic layers for the dates: 1792, 1801, 1822, 1850, 1878, 1900, 1925, 1938, 1953, 1966, 1972, 1982, and 1992. Temporal urban mapping reconstructs past landscapes by incorporating historic maps, census statistics, and commerce records to generate a progressive geo-referenced picture of the past changes in a region. Contemporary mapping focuses on the use of remotely sensed data, existing digital land use data, digital census information, and a variety of earth science infrastructure data, such as Digital Line Graphs, Digital Elevation Models, and key ancillary demographic information. Different procedures were used for different time periods, more fully described for each file in the Process Step Section 2.5.2. The resulting database of temporal urban land use/land cover and demographic changes provides an ideal source of test data and information for both urban geographers and global change research scientists.
While this dataset was developed by the University of Maryland Baltimore County final quality control and metadata generation was performed by the University of Vermont's Spatial Analysis Lab. Two significant problems were noted regarding this dataset. The first anomoly is that the 1801, 1822, and 1878 layers have a much smaller extent, and contain data only for Baltimore City. The second discrepancy is that there are also some very obvious positional errors causing misalignments between layers of different dates (i.e. urban areas become non-urban in a very short time period, an unlikely occurance). |
|
|
| Title:
Baltimore City Land Use, 2000 BES Dataset ID: 208 |
|
MARYLAND DEPARTMENT OF PLANNING |
1905-6-23 |
Land Use, NA in xml file |
BALTIMORE, MD |
Link to Dataset
|
Link to EML
|
|
Abstract:
Level 2 U.S.G.S. Classification of land use/land cover for each Maryland
County and Baltimore City. Initially developed using high altitude aerial
photography and satellite imagery. Urban land use categories were further
refined using parcel data from MDPropertyView.
|
|
|
| Title:
Anne_LULC_2002 BES Dataset ID: 209 |
|
MARYLAND DEPARTMENT OF PLANNING |
1905-6-25 |
Land Use, NA in xml file |
BALTIMORE, MD |
Link to Dataset
|
Link to EML
|
|
Abstract:
This dataset uses the Anderson Level 2 Classification System to display land use
/ land cover for each Maryland County and Baltimore City. Initially developed
using high altitude aerial photography and satellite imagery. For 2002, land
cover types were undated using 2002 aerial photography for Central Maryland.
Urban land use categories were further refined using parcel information from the
2002 Edition of MDPropertyView.
|
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
Wehiling historical Gwynns Falls LULC BES Dataset ID: 210 |
|
M.A. Wehling |
1905-6-23 |
LULC, NA in xml file |
UVM Spatial Analysis Lab |
Link to Dataset
|
Link to EML
|
|
Abstract:
Historical LULC for the Gwynns Falls watershed generated by M.A. Wehling for the 1938, 1957, 1971, and 1999 time periods. Please see the referenced document |
|
|
| Title:
nlcd01lulc BES Dataset ID: 211 |
|
U.S. Geological Survey |
2003-9-1 |
Land Cover, NA in xml file |
Sioux Falls, SD |
Link to Dataset
|
Link to EML
|
|
Abstract:
The National Land Cover Database 2001 land cover layer for mapping zone 60
was produced through a cooperative project conducted by the
Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC
Consortium is a partnership of federal agencies (www.mrlc.gov), consisting
of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric
Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the
U.S. Department of Agriculture (USDA) Forest Service (USFS), the National
Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau
of Land Management (BLM) and the USDA Natural Resources Conservation
Service (NRCS). One of the primary goals of the project is to generate a
current, consistent, seamless, and accurate National Land cover Database
(NLCD) circa 2001 for the United States at medium spatial resolution. For
a detailed definition and discussion on MRLC and the NLCD 2001 products,
refer to Homer et al. (2003) and .
The NLCD 2001 is created by partitioning the U.S. into mapping zones. A
total of 66 mapping zones were delineated within the conterminous U.S.
based on ecoregion and geographical characteristics, edgematching features
and the size requirement of Landsat mosaics. Mapping zone 60 encompasses
whole or portions of several states in the mid-Atlantic region, including
the states of New Jersey, Delaware, Maryland, Pennsylvania, Virginia, and
the District of Columbia. Questions about the NLCD mapping zone 60 can be
directed to the NLCD 2001 land cover mapping team at the USGS EROS Data
Center (EDC), Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.
|
|
|
| Title:
National Land Cover Dataset (NLCD) 1992 BES Dataset ID: 212 |
|
USGS |
1999-5-27 |
Land Use/Land Cover, NA in xml file |
NA in xml file |
Not Available
|
Link to EML
|
|
Abstract:
These data can be used in a geographic information system (GIS) for any number of purposes such assessing wildlife habitat, water quality, pesticide runoff, land use change, etc. The State data sets are provided with a 300 meter buffer beyond the State border to faciliate combining the State files into larger regions.
The user must have a firm understanding of how the datasets were compiled andthe resulting limitations of these data. The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large, sometimes multi-State image mosaics (i.e. up to 18 Landsat scenes). Using a relatively small number of aerial photographs for 'ground truth', the thematic interpretations were necessarily conducted from a spatially-broad perspective. Furthermore, the accuracy assessments (see below) correspond to 'federal regions' which are groupings of contiguous States. Thus, the reliability of the data is greatest at the State or multi-State level. The statistical accuracy of the data is known only for the region.
Important Caution Advisory
With this in mind, users are cautioned to carefully scrutinize the data to see if they are of sufficient reliability before attempting to use the dataset for larger-scale or local analyses. This evaluation must be made that the NLCD represents conditions in the early 1990s.
The Maryland portion of the NLCD was created as part of land cover mapping activities for Federal Region III that includes the States of, Delaware, Pennsylvania, Virginia, West Virginia, and the District of Columbia. The NLCD classification contains 21 different land cover categories with a spatial resolution of 30 meters. The NLCD was produced as a cooperative effort between the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (US EPA) to produce a, land cover data layer for the conterminous U.S. using early 1990s Landsat thematic mapper (TM) data purchased by the Multi-resolution Characterization (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies that produce or use land cover data. Partners include the USGS (National Mapping, Biological Resources, and Divisions), US EPA, the U.S. Forest Service, and the National Oceanic and Atmospheric Administration.
|
|
|
| Title:
Urban Historical Boundaries, 1792 BES Dataset ID: 213 |
|
UVM Spatial Analysis Lab |
2002-11-25 |
Urban development, NA in xml file |
Burlington, VT 05405 |
Link to Dataset
|
Link to EML
|
|
Abstract:
Urban area boundaries for 1792, 1801, 1822, 1850, 1878, 1900, 1925, 1938, 1953, 1966, 1972, 1982, and 1992; part of the Baltimore-Washington Spatial Dynamics and Human Impacts dataset.
The Baltimore-Washington Spatial Dynamics and Human Impacts dataset is an integrated and flexible temporal urban land characteristics database for the Baltimore-Washington metropolitan area. The compilation of this data is a collaborative effort led by the U.S. Geological Survey and the University of Maryland Baltimore County. The database provides visual and historical perspective of the urban growth experienced in the area between 1792 and 1992. Data on built-up areas exists as separate geographic layers for the dates: 1792, 1801, 1822, 1850, 1878, 1900, 1925, 1938, 1953, 1966, 1972, 1982, and 1992. Temporal urban mapping reconstructs past landscapes by incorporating historic maps, census statistics, and commerce records to generate a progressive geo-referenced picture of the past changes in a region. Contemporary mapping focuses on the use of remotely sensed data, existing digital land use data, digital census information, and a variety of earth science infrastructure data, such as Digital Line Graphs, Digital Elevation Models, and key ancillary demographic information. Different procedures were used for different time periods, more fully described for each file in the Process Step Section 2.5.2. The resulting database of temporal urban land use/land cover and demographic changes provides an ideal source of test data and information for both urban geographers and global change research scientists.
While this dataset was developed by the University of Maryland Baltimore County final quality control and metadata generation was performed by the University of Vermont's Spatial Analysis Lab. Two significant problems were noted regarding this dataset. The first anomoly is that the 1801, 1822, and 1878 layers have a much smaller extent, and contain data only for Baltimore City. The second discrepancy is that there are also some very obvious positional errors causing misalignments between layers of different dates (i.e. urban areas become non-urban in a very short time period, an unlikely occurance). |
|
|
| Title:
Baltimore City Land Use, 2000 BES Dataset ID: 214 |
|
MARYLAND DEPARTMENT OF PLANNING |
1905-6-23 |
Land Use, NA in xml file |
BALTIMORE, MD |
Link to Dataset
|
Link to EML
|
|
Abstract:
Level 2 U.S.G.S. Classification of land use/land cover for each Maryland
County and Baltimore City. Initially developed using high altitude aerial
photography and satellite imagery. Urban land use categories were further
refined using parcel data from MDPropertyView.
|
|
|
| Publisher/Creator | Pub Date | Theme Keywords | Place Keywords | Online Linkage | EML Linkage |
|---|
| Title:
Anne_LULC_2002 BES Dataset ID: 215 |
|
MARYLAND DEPARTMENT OF PLANNING |
1905-6-25 |
Land Use, NA in xml file |
BALTIMORE, MD |
Link to Dataset
|
Link to EML
|
|
Abstract:
This dataset uses the Anderson Level 2 Classification System to display land use
/ land cover for each Maryland County and Baltimore City. Initially developed
using high altitude aerial photography and satellite imagery. For 2002, land
cover types were undated using 2002 aerial photography for Central Maryland.
Urban land use categories were further refined using parcel information from the
2002 Edition of MDPropertyView.
|
|
|
| Title:
Wehiling historical Gwynns Falls LULC BES Dataset ID: 216 |
|
M.A. Wehling |
1905-6-23 |
LULC, NA in xml file |
UVM Spatial Analysis Lab |
Link to Dataset
|
Link to EML
|
|
Abstract:
Historical LULC for the Gwynns Falls watershed generated by M.A. Wehling for the 1938, 1957, 1971, and 1999 time periods. Please see the referenced document |
|
|
| Title:
nlcd01lulc BES Dataset ID: 217 |
|
U.S. Geological Survey |
2003-9-1 |
Land Cover, NA in xml file |
Sioux Falls, SD |
Link to Dataset
|
L |
