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This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.
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TwitterThe water tower layer was created using a Service Authority utility spreadsheet and aerial imagery to fix any spatial inaccuracies.
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TwitterData includes zoning districts for St. George, Vermont. Data corresponds to the regulations adopted by the town of St. George. Please see the St. George Land Use Regulations for more detail.There is no Business Park Overlay District data because it is stated in the regulations that provision expired on December 31, 2015 (Page 2-24).The Flood Hazard and River Corridor Overlay District references FEMA's Special Flood Hazard Area and the Vermont Agency of Natural Resources River Corridor data (Page 2-17).
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TwitterState of Maryland municipality boundary dataset.Maryland Department of Planning (MDP) maps annexations from municipalities. This dataset is created and maintained by the Maryland Department of Planning. These boundaries are not intended to serve as a legal description. Fields:MUN_NAME (Municipality Name): Name of Municipality located in Maryland.RESOLUTION_NUMBER (Resolution Number): Local Municipality Annexation Resolution Number.ANNEXATION_DATE (Annexation Date) (DD/MM/YYYY): The Annexation Date field shows when there's been a change in the boundary. This date is known as the “Effective Date” from the municipality. The date 1/1/1997 is used as a default date of when annexation changes were first indicated in the GIS layer and not necessarily of when it was actually annexed. If there's a date of 1/1/1997, it can be assumed that the annexation occurred on this date or before. For example, for Baltimore City, the city boundary was determined hundreds of years ago. Other than that default date, the date will show when the property was annexed. ACRES (GIS Acres): GIS calculated acresJURSCODE (Jurisdiction Code) – Four letter county code: ALLE (Allegany), ANNE (Anne Arundel), BACI (Baltimore City), BACO (Baltimore County), CALV (Calvert), CARO (Caroline), CARR (Carroll), CECI (Cecil), CHAR (Charles), DORC (Dorchester), FRED (Frederick), GARR (Garrett), HARF (Harford), HOWA (Howard), KENT (Kent), MONT (Montgomery), PRIN (Prince George’s) QUEE (Queen Anne’s), SOME (Somerset), STMA (St. Mary’s), TALB (Talbot), WASH (Washington), WICO (Wicomico), WORC (Worcester).
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TwitterREQUIRED: A brief narrative summary of the data set.
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TwitterThe PALEOMAP project produces paleogreographic maps illustrating the Earth's plate tectonic, paleogeographic, climatic, oceanographic and biogeographic development from the Precambrian to the Modern World and beyond.
A series of digital data sets has been produced consisting of plate tectonic data, climatically sensitive lithofacies, and biogeographic data. Software has been devloped to plot maps using the PALEOMAP plate tectonic model and digital geographic data sets: PGIS/Mac, Plate Tracker for Windows 95, Paleocontinental Mapper and Editor (PCME), Earth System History GIS (ESH-GIS), PaleoGIS(uses ArcView), and PALEOMAPPER.
Teaching materials for educators including atlases, slide sets, VHS animations, JPEG images and CD-ROM digital images.
Some PALEOMAP products include: Plate Tectonic Computer Animation (VHS) illustrating motions of the continents during the last 850 million years.
Paleogeographic Atlas consisting of 20 full color paleogeographic maps. (Scotese, 1997).
Paleogeographic Atlas Slide Set (35mm)
Paleogeographic Digital Images (JPEG, PC/Mac diskettes)
Paleogeographic Digital Image Archive (EPS, PC/Mac Zip disk) consists of the complete digital archive of original digital graphic files used to produce plate tectonic and paleographic maps for the Paleographic Atlas.
GIS software such as PaleoGIS and ESH-GIS.
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Esri ArcGIS Online (AGOL) Imagery Layer for accessing the Maryland Coast Smart - Climate Ready Action Boundary (CRAB) Coastal - Flood Depth Grid data product.Maryland Coast Smart - Climate Ready Action Boundary (CRAB) Coastal - Flood Depth Grid consists of a flood depth grid image service depicting the Climate Ready Action Boundary (CRAB) for the coastal areas throughout the State of MarylandThe Maryland Coast Smart - Climate Ready Action Boundary (CRAB) Coastal - Flood Depth Grid raster layer was created using a GIS spatial analysis model, unique for each county in the State of Maryland. Coastal counties follow an analysis methodology that incorporates FEMA Stillwater wave action as it is understood from the FEMA identified VE zones. A Water Surface Elevation (WSE) and Still Water Elevation (SWEL) rasters are used as the baseline to identify existing water depths within each county. For all flood zones that are not classified as VE the WSE three feet was added to reflect a three-foot rise in the base flood elevations. For those WSEs falling within a FEMA floodplain identified V Zone, six feet was added (three feet for the increase in flood elevations for the CS-CRAB, and 3 feet to compensate for the minimum of 3 foot wave action typically mapped by FEMA) / wave heights greater than 3 feet were reduced to the 3 foot minimum for consistency across the shoreline. The newly calculated WSE plus three datasets were then converted to points and merged. Next, an Inverse Distance Weighted (IDW) Interpolation was used to compute the proportional weighted values between the WSE point locations based on proximity. The DEM for each county is then subtracted from the new IDW raster in order to show precise water locations as they relate to the land elevation, producing a freeboard depth grid representing the depth of flood waters above the existing ground elevation given a 3 foot increase in water level. A course resolution QAQC was applied to remove “islands” of data associated with DEM inaccuracies and other elevation anomalies. The analysis was run at a 1 ft x 1 ft raster resolution. The DEM accuracy for each county varies based what is currently available. Here the breakdown of DEM accuracy for each county used in this project: Anne Arundel County DEM year is 2017 and horizontal resolution is 1ft. Baltimore County DEM year is 2015 and horizontal resolution is 2.5ft. Baltimore City DEM year is 2015 and horizontal resolution is 0.7m. Calvert County DEM year is 2017 and horizontal resolution is 1ft. Caroline County DEM year is 2013 and horizontal resolution is 3.125ft. Cecil county DEM year is 2013 and horizontal resolution is 0.6m. Charles County DEM year is 2014 and horizontal resolution is 0.9m. Dorchester County DEM year is 2013 and horizontal resolution is 0.9m. Harford County DEM is 2013 and horizontal accuracy is 1.5m. Kent County DEM year is 2015 and horizontal resolution is 0.7m. Prince George’s County DEM year is 2014 and horizontal resolution is 0.7m. Queen Anne’s County DEM year is 2013 and horizontal resolution is 0.6m. Somerset County DEM year is 2012 and horizontal accuracy is 1m. St Mary’s County DEM year is 2014 and Horizontal accuracy is 0.9m. Talbot County DEM year is 2015 and Horizontal accuracy is 0.7m. Wicomico County DEM year is 2012 and horizontal accuracy is 1m. Worchester County DEM year is 2011 and horizontal accuracy is 1m.The Maryland Coast Smart - Climate Ready Action Boundary (CRAB) Coastal - Flood Depth Grid data was created by the Maryland Environmental Service (MES) in partnership with the Maryland Department of Environment (MDE) and the Maryland Coast Smart Council, under the guidance of the Maryland Department of Natural Resource (DNR).For additional information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov
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TwitterState of Maryland Priority Funding Area boundary dataset. This dataset is created and maintained by the Maryland Department of Planning. These boundaries are not intended to serve as a legal description. Fields:CPFA (Certified PFA): If field is populated as “IN” then the PFA has been designated at a Priority Funding Area locally. MUN_CODE (Municipality Code): MUN = within Priority Funding Area (PFA); MUNCOM = PFA with comment; MUN_NONPFA = not in PFA Rural Village Code (RUVI_CODE): RV = within a Rural Village Rural Village Name (RUVI_NAME): Name of the Rural Village COMMENT_STATUS (Comment Status): If field is populated with “NO” then there is no state-placed comment on the area. If the field is populated with “YES” then the state has placed a comment on the area based on eligibility. ACRES (GIS Acres): GIS calculated acres. JURSCODE (Jurisdiction Code) – Four letter county code: ALLE (Allegany), ANNE (Anne Arundel), BACI (Baltimore City), BACO (Baltimore County), CALV (Calvert), CARO (Caroline), CARR (Carroll), CECI (Cecil), CHAR (Charles), DORC (Dorchester), FRED (Frederick), GARR (Garrett), HARF (Harford), HOWA (Howard), KENT (Kent), MONT (Montgomery), PRIN (Prince George’s) QUEE (Queen Anne’s), SOME (Somerset), STMA (St. Mary’s), TALB (Talbot), WASH (Washington), WICO (Wicomico), WORC (Worcester).CERT_DATE (Certification Date) (DD/MM/YYYY): This date is known as the “Certification Date” of the PFA. The date 1/1/1997, or NULL, is used as a default date of when the PFA was certified were first indicated in the GIS layer and not necessarily of when it was actually certified. If there's a date of 1/1/1997, it can be assumed that the PFA was certified on, or before this date. STATE_ELIGIBLE_STATUS (State Eligible): This field is based on whether the PFA has a comment. If there is no comment, then the field will be populated with YES; if there is a state-placed comment, the field will be populated with NO. Point of Contact: Ellen Mussman ellen.mussman@maryland.gov and Meagan Fairfield-Peak meagan.fairfieldpeak@maryland.govDate Last Updated 10/22/2024This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PriorityFundingAreas/FeatureServer/0
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TwitterForest Ecosystem Dynamics (FED) Project Spatial Data Archive: Elevation Contours for the Northern Experimental Forest
The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.
The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.
This data layer contains elevation contours for the 10 X 10 km area located within the Northern Experimental Forest. Contours and elevation benchmarks from the United States Geological Survey 7.5" Maine quadsheets for Howland and Lagrange were digitized, and elevation data in feet were added.
The data was revised by projecting it into NAD83 datum by L. Prihodko at NASA Goddard Space Flight Center. Although the data was received at GSFC with an undeclared datum, it was assumed to be in North American Datum of 1927 (NAD27) because the original map from which the data were digitized was in NAD27. Also, the data fit exactly within the bounds of the FED site grid (even Universal Transverse Mercator projections) in NAD27. After projecting the data into NAD83 it was checked to insure that the change was a linear translation of the coordinates.
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TwitterForest Ecosystem Dynamics (FED) Project Spatial Data Archive: Digital Elevation Model for the Northern Experimental Forest
The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.
The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.
Howland DEM is a digital elevation model of the 10km X 10km area located within the Northern Experimental Forest. The contours and elevation benchmarks from the United States Geological Survey 7.5'quadsheets for Howland and Lagrange were digitized and then rasterized into a 10m X 10m grid.
The data was revised by projecting it into NAD83 datum by L. Prihodko at NASA Goddard Space Flight Center. Although the data was received at GSFC with an undeclared datum, it was assumed to be in North American Datum of 1927 (NAD27) because the original map from which the data were digitized was in NAD27. Also, the data fit exactly within the bounds of the FED site grid (even Universal Transverse Mercator projections) in NAD27. After projecting the data into NAD83 it was checked to insure that the change was a linear translation of the coordinates only and that the gridded values did not undergo any changes.
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TwitterForest Ecosystem Dynamics (FED) Project Spatial Data Archive: Global Positioning System Ground Control Points and Field Site Locations from 1993
The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.
The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.
This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME. A Trimble roving receiver placed on the top of the cab of a pick-up truck and leveled was used to collect position information at selected sites (road intersections) across the FED project study area. The field collected data was differentially corrected using base files measured by a Trimble Community Base Station. The Community Base Station is run by the Forestry Department at the University of Maine, Orono (UMO). The base station was surveyed by the Surveying Engineering Department at UMO using classical geodetic methods. Trimble software was used to produce coordinates in Universal Transverse Mercator (UTM) WGS84. Coordinates were adjusted based on field notes. All points were collected during December 1993 and differentially corrected.
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TwitterThe landscape Change Program is an archive of paired historic and recent photos of Vermont landscapes. The program is funded by the National Science Foundation to digitally document how the Vermont landscape has changed over time.
The landscape of Vermont has changed considerably since it first emerged from the ocean during the collision of huge tectonic plates. For a time, geologically speaking, sediments that became Vermont had been in a warm tropical sea at the equator. Slowly they had moved north. Mountains were born and began to erode. Massive glaciers more than a kilometer thick blanketed Vermont. Soon after the glaciers left, Native Americans inhabited the area. Colonial settlers moved in, clearing the land and leaving just a quarter of the total area forested, making way for agriculture, then sheep, then dairy. Hundreds of hill farms sprang up and many were later abandoned as western soils called. Now the Vermont landscape is mostly forested and yet increasingly developed. The face of Vermont has changed dramatically over time. The shared appreciation and acknowledgement of this rich landscape history is the goal of this project.
[Summary provided by the University of Vermont.]
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Twitter[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]
A joint project to provide orthorectified satellite image mosaics of Landsat,
SPOT and ERS radar data and a high resolution Digital Elevation Model for the
whole of the UK. These data will be in a form which can easily be merged with
other data, such as road networks, so that any user can quickly produce a
precise map of their area of interest.
Predominately aimed at the UK academic and educational sectors these data and
software are held online at the Manchester University super computer facility
where users can either process the data remotely or download it to their local
network.
Please follow the links to the left for more information about the project or
how to obtain data or access to the radar processing system at MIMAS. Please
also refer to the MIMAS spatial-side website,
"http://www.mimas.ac.uk/spatial/", for related remote sensing materials.
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TwitterForest Ecosystem Dynamics (FED) Project Spatial Data Archive: Color Infrared Aerial Photograph of the Tower Site
The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.
The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.
This is a digital high-resolution color infrared aerial photograph of the University of Maine, Orono tower site. There were a series of large scale color infrared photographs taken over the FED study area and this photo is only an example of the photographs obtained.
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TwitterThe data set consists of 1:25,000 topographic maps covering Lutzow-Holm Bukt coast and major bare rock areas and inland mountains. The contour interval is 10 m. Maps of Lutzow-Holm Bukt coast were published in 1965 - 1986, and those of Prince Olav coast in 1974 - 1985. Total number of map sheets for these areas is 61. Maps of Yamato Mountains were published in 1980 with 11 sheets. All maps have been digitized into raster data and are available with TIFF format.
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TwitterContents: gridded sea surface heights above geoid; dynamic topography is the sum of sea level anomaly (SLA) and mean dynamic topography (MDT, Rio05 here)
Use: study of the general circulation (ocean gyres ...)
Global gridded data (1/3°x1/3° on a Mercator grid), available in near-real time and in delayed time in NetCDF format.
In delayed time, two types of products are available: - "Ref" (Reference) series: homogeneous datasets based on two satellites (Topex/Poseidon, Jason-1 + ERS, Envisat) with the same groundtrack. Sampling is stable in time. - "Upd" (Updated) series: up-to-date datasets with up to four satellites at a given time (adding GFO and/or Topex/Poseidon on its new orbit). Sampling and Long Wavelength Errors determination are improved, but quality of the series is not homogeneous.
Absolute geostrophic velocities are also available for gridded merged data.
Regional products with an improved quality are available in local areas ("http://www.aviso.oceanobs.com/html/donnees/produits/hauteurs/regional/")
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TwitterThis is a PDF format map of the country, as released by the United Nations.
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TwitterAttachment regarding request by George Farrell, Jr. on behalf of Kunal Enterprises, LLC for a revision to the existing Conditional Use B-1 Business District with Conditional Use Permit for various uses to add Mobile home sales and service specifically for Modular home sales and display, on 15 acres, located off U. S. Hwy 64 E, New Hope Township.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.