The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick. The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

This report presents in tabular form a complete listing of faunal and minor floral elements, along with their identification as known to date, for all fossils collected by field party members of the Alaska Division of Geological & Geophysical Surveys (DGGS) during their 1997 and 1998 geological mapping effort in the Healy A-6 Quadrangle. In addition, all known U.S. Geological Survey fossil localities that could be located from previously published maps are also shown on the fossil locality map and listed in the fossil register.

Montana FWP lands region 6 printable map 36x18 for Montana FWP Printable Map Catalog. Maps will be regularly updated as data updates occur.

NOTICE TO PROVISIONAL 2023 LAND USE DATA USERS: Please note that on December 6, 2024 the Department of Water Resources (DWR) published the Provisional 2023 Statewide Crop Mapping dataset. The link for the shapefile format of the data mistakenly linked to the wrong dataset. The link was updated with the appropriate data on January 27, 2025. If you downloaded the Provisional 2023 Statewide Crop Mapping dataset in shapefile format between December 6, 2024 and January 27, we encourage you to redownload the data. The Map Service and Geodatabase formats were correct as posted on December 06, 2024.

Thank you for your interest in DWR land use datasets.

The California Department of Water Resources (DWR) has been collecting land use data throughout the state and using it to develop agricultural water use estimates for statewide and regional planning purposes, including water use projections, water use efficiency evaluations, groundwater model developments, climate change mitigation and adaptations, and water transfers. These data are essential for regional analysis and decision making, which has become increasingly important as DWR and other state agencies seek to address resource management issues, regulatory compliances, environmental impacts, ecosystem services, urban and economic development, and other issues. Increased availability of digital satellite imagery, aerial photography, and new analytical tools make remote sensing-based land use surveys possible at a field scale that is comparable to that of DWR’s historical on the ground field surveys. Current technologies allow accurate large-scale crop and land use identifications to be performed at desired time increments and make possible more frequent and comprehensive statewide land use information. Responding to this need, DWR sought expertise and support for identifying crop types and other land uses and quantifying crop acreages statewide using remotely sensed imagery and associated analytical techniques. Currently, Statewide Crop Maps are available for the Water Years 2014, 2016, 2018- 2022 and PROVISIONALLY for 2023.

Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer: https://gis.water.ca.gov/app/CADWRLandUseViewer.

For Regional Land Use Surveys follow: https://data.cnra.ca.gov/dataset/region-land-use-surveys.

For County Land Use Surveys follow: https://data.cnra.ca.gov/dataset/county-land-use-surveys.

For a collection of ArcGIS Web Applications that provide information on the DWR Land Use Program and our data products in various formats, visit the DWR Land Use Gallery: https://storymaps.arcgis.com/collections/dd14ceff7d754e85ab9c7ec84fb8790a.

Recommended citation for DWR land use data: California Department of Water Resources. (Water Year for the data). Statewide Crop Mapping—California Natural Resources Agency Open Data. Retrieved “Month Day, YEAR,” from https://data.cnra.ca.gov/dataset/statewide-crop-mapping.

ADMMR map collection: Old Dominion 6 Level Grey Map; 1 in. to 100 feet; 31 x 23 in.

The file is a sqlite3 database which contains 3D neighborhood motions maps of 6-neighborhood together with sample points. It was computed while using a variation of the algorithm described in: Pluta K., Moroz G., Kenmochi Y., Romon P. (2016) Quadric Arrangement in Classifying Rigid Motions of a 3D Digital Image. In: Gerdt V., Koepf W., Seiler W., Vorozhtsov E. (eds) Computer Algebra in Scientific Computing. CASC 2016. Lecture Notes in Computer Science, vol 9890. Springer, doi:10.1007/978-3-319-45641-6_27

To refer to a version of the algorithm used to compute the file use DOI:10.5281/zenodo.573013 (https://zenodo.org/badge/latestdoi/53963129).

The soil mechanical maps were drawn up by the Centre for Soil Mechanical Mapping of Ghent University and the Working Group or Commission for Soil Mechanical Mapping (several authors) and published under the auspices of the National Institute for Soil Mechanics. Quote from the explanatory texts to the ground mechanical maps: "The soil mechanical maps respond to a need for a summary of those components of the geological environment that play a role in land use and influence the design, construction and maintenance of buildings. However, the data provided should not be given absolute accuracy due to the interpolations made when compiling them. The maps provide information on the general geological and soil mechanical condition of the subsoil as it can be deduced from the tests available at the time of the mapping. They are therefore only guiding documents and the authors cannot be held responsible for their possible applications. The soil mechanical maps cannot in any case exempt the user from carrying out additional tests in function of well-defined projects." De Grondmechanische kaart 22.1.6 Gent-Sint-Pieters, Plate VI: Top of the Ieperian sand-clay complex, scale 1:5000. Explanatory text Ground mechanic map 22.1.6 Gent-Sint-Pieters (Ph. Van Burm and J. Maertens led by E. De Beer, W. De Breuck, G. De Moor and R. Tavernier).

Open the Data Resource: https://gis.chesapeakebay.net/mpa/scenarioviewer/ This viewer provides basic mapping functionality for a subset of Public Reports for Load Scenarios available from the CAST Tool. It also contains map layers for several commonly requested data layers associated with the Chesapeake Bay suite of models.

Historical Maps from the Rumsey Collection with North American Mission Data

A 6-in resolution 8-class land cover dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset was developed as part of an updated urban tree canopy assessment and therefore represents a ''top-down" mapping perspective in which tree canopy overhanging features is assigned to the tree canopy class. The eight land cover classes mapped were: (1) Tree Canopy, (2) Grass\Shrubs, (3) Bare Soil, (4) Water, (5) Buildings, (6) Roads, (7) Other Impervious, and (8) Railroads. The primary sources used to derive this land cover layer were 2017 LiDAR (1-ft post spacing) and 2016 4-band orthoimagery (0.5-ft resolution). Object based image analysis was used to automate land-cover features using LiDAR point clouds and derivatives, orthoimagery, and vector GIS datasets -- City Boundary (2017, NYC DoITT) Buildings (2017, NYC DoITT) Hydrography (2014, NYC DoITT) LiDAR Hydro Breaklines (2017, NYC DoITT) Transportation Structures (2014, NYC DoITT) Roadbed (2014, NYC DoITT) Road Centerlines (2014, NYC DoITT) Railroads (2014, NYC DoITT) Green Roofs (date unknown, NYC Parks) Parking Lots (2014, NYC DoITT) Parks (2016, NYC Parks) Sidewalks (2014, NYC DoITT) Synthetic Turf (2018, NYC Parks) Wetlands (2014, NYC Parks) Shoreline (2014, NYC DoITT) Plazas (2014, NYC DoITT) Utility Poles (2014, ConEdison via NYCEM) Athletic Facilities (2017, NYC Parks)

For the purposes of classification, only vegetation > 8 ft were classed as Tree Canopy. Vegetation below 8 ft was classed as Grass/Shrub.

To learn more about this dataset, visit the interactive "Understanding the 2017 New York City LiDAR Capture" Story Map -- https://maps.nyc.gov/lidar/2017/ Please see the following link for additional documentation on this dataset -- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_LandCover.md

The soil mechanical maps were drawn up by the Center for Soil Mechanical Mapping of Ghent University and the Working Group or Commission for Soil Mechanical Mapping (various authors) and published under the auspices of the National Institute for Soil Mechanics. Quote from the explanatory texts accompanying the soil mechanical maps: "The soil mechanical maps respond to a need for a summary representation of those components of the geological environment that play a role in land use and influence the design, construction and maintenance of However, the data provided cannot be ascribed to absolute accuracy because of the interpolations made during its preparation.The maps provide information about the general geological and soil-mechanical condition of the subsoil as it can be deduced from the ground at the time of the available tests. They are therefore only guiding documents and the authors cannot be held responsible for possible applications thereof. The soil mechanical maps can under no circumstances exempt the user from carrying out additional tests in function of well-defined projects." The soil mechanical map 15.3.6 Antwerp Center, Plate X: Zoning, scale 1:5000. Explanatory text Soil mechanical map 15.3.6 Antwerp-Centre (Ph. Van Burm and J. Maertens led by E. De Beer and W. De Breuck).

The soil mechanical maps were drawn up by the Center for Soil Mechanical Mapping of Ghent University and the Working Group or Commission for Soil Mechanical Mapping (various authors) and published under the auspices of the National Institute for Soil Mechanics. Quote from the explanatory texts accompanying the soil mechanical maps: "The soil mechanical maps respond to a need for a summary representation of those components of the geological environment that play a role in land use and influence the design, construction and maintenance of However, the data provided cannot be ascribed to absolute accuracy because of the interpolations made during its preparation.The maps provide information about the general geological and soil-mechanical condition of the subsoil as it can be deduced from the ground at the time of the available tests. They are therefore only guiding documents and the authors cannot be held responsible for possible applications thereof. The soil mechanical maps can under no circumstances exempt the user from carrying out additional tests in function of well-defined projects." Explanatory text Soil mechanical map 22.1.6 Ghent-Sint-Pieters (Ph. Van Burm and J. Maertens led by E. De Beer, W. De Breuck, G. De Moor and R. Tavernier).

1 Map Pack ranking for 'restaurant Old Colorado City' within 6 months

The product represents a new design of the State Map at a scale of 1:5,000 in raster form, whose advantages are recency and colour processing. The map contains planimetry based on cadastral map, altimetry adopted from the altimetry part of ZABAGED and map lettering based on database of geographic names Geonames and abbreviations of feature type signification coming up from attributes of selected ZABAGED features. The cartographic visualisation is solved automatically without manual works of a cartographer. This new design of the SM 5 is repeatedly generated once a year on the part of the Czech territory where the vector form of cadastral map is available. Therefore, part of export units (map sheets of SM 5) has not a full coverage (price of such export unit is then proportionally reduced).

The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick. The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

Accurate and precise measurements of global cropland extent are needed for monitoring the sustainability of agriculture at all scales. Recent advancement in remote sensing and land cover mapping methods have greatly increased the ability to estimate cropland area distribution and trends. Here the FAO presents a map of cropland agreement produced by consolidating information at pixel level from six high-resolutions maps for circa 2020. The following six high resolution layers were used: ESRI 10 meter LU/LC, FROM-GLC, GLAD, GLC-FCS30, Globeland30 and Worldcover.

Two bands are included in the dataset:

1. Simple agreement (values between 1 and 6)
2. Detailed agreement (values between 1 and 63)

The map, developed in the Google Earth Engine platform, combines the 6 land cover/cropland layers to show their cropland agreement on pixel level at a spatial resolution of 30 meters. The simple agreement has pixel values that range from 1 (only 1 dataset classifies as cropland) to 6 (all datasets agree on presence of cropland). Pixels with a value of 0 indicate pixels where all datasets agree on absence of cropland. The second band includes a detailed agreement, showing which combination of the 6 datasets classify a pixel as cropland. The overview table (DetailedAgreement_LookupTable.xlsx) shows what the pixel values of this detailed agreement (from 1 to 63) correspond to.

The dataset has been uploaded in 16 tiles, in the preview below and in the file "ACroplandAgreement_30m_Tiles.png" the extent of each tile can be found.

For more information on FAO statistics on land cover and land use:

FAO. 2022. Land use statistics and indicators. Global, regional and country trends, 2000–2020. FAOSTAT Analytical Brief, no. 48. Rome. https://doi.org/10.4060/cc0963en

FAO. 2021. Land cover statistics. Global, regional and country trends, 2000–2019. FAOSTAT Analytical Brief Series No. 37. Rome.

This map is one of 18 produced for the final open-file report: An Investigation of Potential Geothermal Energy Sources in Mississippi, DoE Contract No. EG-77-S-05-5361; Edwin E. Luper, Principal Investigator; Mississippi Geological, Economic and Topographical Survey; Jackson, Mississippi; 1978. Maps produced include areas of central and southern Mississippi, including all or portions of Adams, Amite, Attala, Calhoun, Carroll, Claiborne, Clarke, Copiah, Covington, Forrest, Franklin, George, Greene, Hancock, Harrison, Hinds, Holmes, Humphreys, Issaquena, Jackson, Jasper, Jefferson, Jefferson Davis, Jones, Lamar, Lauderdale, Lawrence, Leake, Leflore, Lincoln, Madison, Marion, Newton, Pearl River, Perry, Pike, Rankin, Scott, Sharkey, Simpson, Smith, Stone, Sunflower, Walthall, Warren, Washington, Wayne, Wilkinson, and Yazoo Counties. Each map is contoured along a single isothermal surface: Maps 1-A through 1-E: 158F (70C) Maps 2-A through 2-E: 212F (100C) Maps 3-A through 3-E: 248F (120C) Map 4: 302F (150C) Map 5: 356F (180C) Finally, a location map of the 401F (205C) isotherm well is labeled Map 6. Maps 1, 2 and 3 were constructed at approximate scale of 1:250,000. These were broken into 5 sections each. The remaining maps were constructed at approximate scale of 1:500,000. These maps were contoured manually by the staff of the MGS in 1978. Many of the reference marks appear to be incorrectly drawn, so a best-fit methodology was used on the scanned maps to attempt to place them in their appropriate relative location in georeferencing.

This record is maintained in the National Geologic Map Database (NGMDB). The NGMDB is a Congressionally mandated national archive of geoscience maps, reports, and stratigraphic information, developed according to standards defined by the cooperators, i.e., the USGS and the Association of American State Geologists (AASG). Included in this system is a comprehensive set of publication citations, stratigraphic nomenclature, downloadable content, unpublished source information, and guidance on standards development. The NGMDB contains information on more than 90,000 maps and related geoscience reports published from the early 1800s to the present day, by more than 630 agencies, universities, associations, and private companies. For more information, please see http://ngmdb.usgs.gov/.

This is a georeferenced raster image of a printed paper map of the Chatham, Ontario region (Sheet No. 040J08), published in 1979. It is the sixth edition in a series of maps, which show both natural and man-made features such as relief, spot heights, administrative boundaries, secondary and side roads, railways, trails, wooded areas, waterways including lakes, rivers, streams and rapids, bridges, buildings, mills, power lines, terrain, and land formations. This map was published in 1979 and the information on the map is current as of 1976. Maps were produced by Natural Resources Canada (NRCan) and it's preceding agencies, in partnership with other government agencies. Please note: image / survey capture dates can span several years, and some details may have been updated later than others. Please consult individual map sheets for detailed production information, which can be found in the bottom left hand corner. Original maps were digitally scanned by McGill Libraries in partnership with Canadiana.org, and georeferencing for the maps was provided by the University of Toronto Libraries and Eastview Corporation.

This record is maintained in the National Geologic Map Database (NGMDB). The NGMDB is a Congressionally mandated national archive of geoscience maps, reports, and stratigraphic information, developed according to standards defined by the cooperators, i.e., the USGS and the Association of American State Geologists (AASG). Included in this system is a comprehensive set of publication citations, stratigraphic nomenclature, downloadable content, unpublished source information, and guidance on standards development. The NGMDB contains information on more than 90,000 maps and related geoscience reports published from the early 1800s to the present day, by more than 630 agencies, universities, associations, and private companies. For more information, please see http://ngmdb.usgs.gov/.