These data provide an accurate high-resolution shoreline compiled from imagery of GEORGE AND CARROLL INLETS AND THORNE ARM, AK . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://res1wwwd-o-tfisheriesd-o-tnoaad-o-tgov.vcapture.xyz/inport/item/39808

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Spatial data from observation points and quantitative plots were used to edit the formation-level maps of George Washington Birthplace National Monument to better reflect homogeneous vegetation classes. Using Arcview 3.3, polygon boundaries were revised onscreen over leaf-off photography. Units used to label polygons on the map (i.e. map classes) are equivalent to one or more vegetation classes from the regional vegetation classification, or to a land-use class from the Anderson Level II classification system. Each polygon on the George Washington Birthplace National Monument map was assigned to one of 19 map classes based on plot data, field observations, aerial photography signatures, and topographic maps.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS (10.6.x) file geodatabase. To map the vegetation and land cover of the parks within the National Capital Region, the region initiated collective mapping efforts at 10 parks (NPS unit codes ANTI, CATO, CHOH, GWMP, HAFE, MANA, MONO, NACE, PRWI, WOTR). NatureServe assisted with field plots, accuracy assessment, and with building the classification for the vegetation map. This geospatial dataset only cover George Washington Memorial Parkway.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here.

The mapping component was produced by identifying land cover in a three-step process: (1) image objects were generated at 1 m resolution using e-Cognition applied to stacked leaf-on and leaf-off air photos, (2) image objects were coded with land cover classes on-screen, and (3) image objects were cut and corrected via heads-up digitizing at a display scale of not more than 1:1,000 against a back-drop of air photos. Imagery was the most recent available from the National Agriculture Imagery Program. This included 2009 leaf-on true color and 4-band Color infrared (CIR) 1 m resolution photos, and 2007-2009 leaf-off true color 2 foot resolution photos. All images were stacked before image objects were generated.

Did you know that George Washington was a cartographer? He was a surveyor and map maker in his early years, and continued to make his own maps for practical purposes throughout his life. Cool, right?George's StyleHere is a map he made of his farm, just dripping with hand-wrought charm:The ArcGIS Pro style available here is compiled of material textures and George's hand-drawn elements sampled from this very map. That means, when you use it, your map is wrought in the very hand of George Washington. What a time to be alive.Check out these examples that Ernst Eijkelenboom whipped up of his native Netherlands...Glorious.What You GetAre you ready to cartographicize like the first president of the United States? Here's what you'll find in the style...How to Install?Save this style file somewhere on your computer. Then, in Pro, open up the Catalog view, and expand the Style category. Right-click, and choose “Add.” Then just browse to where you saved George Washington. Pow! You’ll be whipping up maps that look like they were scribed by the right hand (I surmise, based on the way his trees lean) of George, himself.If you would like to make your own styles, based on the texture images I extracted from George’s map, then you can have at them here.Happy Presidential Throwback Mapping! John Nelson

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here.

Two digital orthophoto mosaics, leaf-on (fall) and leaf-off (spring), were created for George Washington Birthplace National Monument. Kucera International acquired color infrared, stereo pair 1:6,000 scale aerial photography for the leaf-on mosaic on October 20, 2001 and for the leaf-off mosaic on February 18, 2002. Spatial data were digitized onscreen over digital orthophoto mosaics created from scanned color infrared, stereo pair 1:6,000 scale aerial photography using a 0.5 ha minimum mapping unit.

Explore various data layers available for the George Reserve. A high-resolution DEM and 1m contours were derived from 2010 high-resolution lidar data available from NOAA. Vegetation cover map sourced from Roller (1974).Data sources:Vegetation Cover:Roller, Norman E.G. 1974. Airphoto mapping of of ecosystem development on the Edwin S. George Reserve. School of Natural Resources, University of Michigan. Ann Arbor, MI. http://hdl.handle.net/2027.42/114918DEM, Contours:2010 ARRA Lidar: 4 Southeast Counties (MI). 2016. NOAA Office for Coastal Management. Charleston, SC. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5019.

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Office for Coastal Management (NOAA\OCM), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define t...

The City of Saint George web map displays the 2019 incorporation petition boundary for the city and the adopted city council districts. The final city boundary is subject to change based on the results of pending litigation.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 18N). The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. A total of 237 acres (96 hectares) are within the accepted boundaries of GWCA (Figure 8). The standard minimum mapping unit for NPS vegetation mapping projects is defined as 0.5 hectare, although several mapped polygons were smaller for GWCA. Restored tallgrass prairie made up most of the current vegetation of the park, and accounted for 134 acres (54.1 ha) in eight polygons, or 56.5% of the total area. Ruderal woodland and forest was the next most abundant with 53.6 acres in eight polygons, or 22.6% of the park. Non-native ruderal grassland and ruderal shrubland accounted for 25 acres (10.1 ha or 10.5%) and 2.2 acres (0.9 ha or <1%) of the area of the park, respectively. Developed land accounts for 21.9 acres (8.9 ha), or 9.2% of the park. A total of 36 polygons were mapped, with an average area of 15.2 acres (6.1 ha).

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program are to collect marine geophysical data and develop a suite of seafloor maps to better define the extent of oyster habitats and the overall seafloor geology of the bay to provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.

High-resolution bathymetry, backscatter intensity, and seismic profile data were collected over a 76 square kilometer area covering the deeper (>2.0 m) portions of St. George Sound to characterize the surface and subsurface of Apalachicola Bay and St. George Sound for geologic framework investigations.

Maps and images related to the Lake George regional survey project.

These data provide an accurate high-resolution shoreline compiled from imagery of Hudson River, West Point to George Washington Bridge, NY . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://res1wwwd-o-tfisheriesd-o-tnoaad-o-tgov.vcapture.xyz/inport/item/39808

URL: https://geoscience.data.qld.gov.au/dataset/mr003186

The ST GEORGE Mine map was published in 1973, charted in 1973 at 1:100 000 as part of the 1:100 000 series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the St George (8641) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is ST GEORGE_4560.

Cancelled 1983. Author:Department of Mapping and Surveying, Queensland.

URL: https://geoscience.data.qld.gov.au/dataset/mr003685

The ST GEORGE Mine map was published in 1981, charted in 1983 at 1:100 000 as part of the 1:100 000 series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the St George (8641) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is ST GEORGE_6308.

Permits current as at 01/07/1988 transferred into Mines spatial database and viewer. Author:Department of Mapping and Surveying, Queensland.

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public. High-resolution bathymetry, backscatter intensity, and seismic profile data were collected over 230 square kilometers of the floor of the bay. The study focused on Apalachicola Bay and Western St. George Sound portions of the estuary mostly in depths > 2.0 meters.

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public. High-resolution bathymetry, backscatter intensity, and seismic profile data were collected over 230 square kilometers of the floor of the bay. The study focused on the Apalachicola Bay and Western St. George Sound portions of the estuary mostly in depths > 2.0 meters.

Maps and images from the South Bay District of the Lake George regional survey project.

Vector data for St. George’s Caye created from imagery collected in June and July 2017. Vector data for this area includes seawalls, docks and structures. These data were digitized at a scale of 250 meters. Island boundaries can viewed in the ORMS Island Boundaries layer.

This data is open-source, freely available, and is not intended to be used for nefarious or illegal purposes. Our goal is to provide imagery and corresponding data of the islands of Belize to the public to encourage citizen science initiatives. This data is not guaranteed to be 100% spatially accurate. Spatial differences may be due to errors in imagery processing or imagery digitization.

When using this data please cite Open Reef Mapping Society, Citizen Science GIS, Coastal Zone Management Authority and Institute, and University of Central Florida.