Displacement risk indicator classifying census tracts according to single-family home sale prices in census tracts where at least 100 single-family homes exist. We classify arms-length transactions only along two dimensions:The median price of sales within the census tract for the specified year, balancing between nominal sale price and sale price per square foot.The change in median sale price (again balanced between nominal sale price and price per square foot) from the previous year.

Annual nominal catches of more than 200 species of fish and shellfish in the Northeast Atlantic region. Data are presented in the live weight equivalent of landings per year, country, species, and fishing area. This dataset includes catches starting from 2006.

Description based on the metadata provided by the WMDs.NWFWMD: Watershed Delineation for NWFWMD. Custodian - Danny Layfield.The Northwest Florida Water Management District maintains the following GIS Data Dictionary as a public service, by granting the public and government agencies access to the Districts GIS data.Data is provided on an "as is" basis. In no event will the District or its staff be liable for any direct, indirect, incidental, special, consequential, or other damages, including loss of profit, arising out of the use of these data even if the District has been advised of the possibility of such damages.The spatial datasets are provided as zipped (.zip) ESRI shapefiles or geodatabases. The data are provided in UTM Zone 16N / NAD 83, map units metershttp://www.nwfwmd.state.fl.us/data-publications/gis-mapping/gis-data-directorySRWMD: Hydrography basin major. USGS24"SBAS" was orginally created by USGS as part of a cooperative effort between the USGS and DEP to create a statewide basin or watershed map. SRWMD has modified and added some watersheds because of local knowledge and needs of the District. A number of items have also been added to the coverage. Surfacewater watersheds are topographic land features which contain a unique hydrologic area of surface drainage. Suwannee River Water Management has choosen to call this a watershed map instead of a basin map as previously called. These spatial data sets provide SRWMD and other government agencies with a consolidated resource for watershed information at various levels of geographic extent. The data sets are intended to support watershed analysis, planning, permitting, regulatory, and other functions at SRWMD. They have been edited and modified by the District to reflect better information available at the regional level, and to better meet the specific needs of the GIS users at SRWMD. A guide to the Watershed coverage is available from SRWMD at md_lib/basins/items.doc. A spreadsheet that expains the attribution of both the polygon and arc attribute tables is also located at md_lib/basins/sbas_items.doc. Additional information about the original watershed maps created by USGS is available from the following sources: U.S. Geological Survey, 1994. Metadata for Hydrologic units maps of the Conterminous United States, 1:250,000-scale (nominal), ARC/INFO format. < http://water.usgs.gov/lookup/getspatial?/huc250k> U.S. Geological Survey, 1990. Land Use and Land Cover Digital Data from 1:250,000- and 1:100,000-Scale Maps. Data Users Guide 4, 33 pp, Reston, Virginia. U.S. Environmental Protection Agency, 1996. Metadata for Hydrologic Unit Boundaries of the Conterminous United States, 1:250,000-scale (nominal), ARC/INFO Format, < http://www.epa.gov/nsdi/projects/catunit.htm>Note: This data was created by the Suwannee River Water Management District (SRWMD) to be used for planning purposes only. SRWMD shall not be held liable for any injury or damage caused by the use of data distributed as a public records request regardless of their use or application. SRWMD does not guarantee the accuracy, or suitability for any use of these data, and no warranty is expressed or implied. In no event will the SRWMD, its staff, or the contributing agencies be liable for any direct, indirect, incidental, special, consequential or other damages, including loss of profit, arising from the use of these data, even if the District has been advised of the possibility of such damages. Users of this data should therefore do so at their own risk. For more information please contact the SRWMD at 386-362-1001.http://www.srwmd.state.fl.us/index.aspx?NID=319SJRWMD: This coverage was originally created in September 2000 by GIS staff in the Resource Management Dept. It was created in Arc/Info, using the SJRWMD surface water drainage basins layer as a guideline. The swbasins were combined and shifted in places, to delineate ecology based areas for regulatory mitigation review. The changes came from a Board-appointed Advisory Committee and were approved by the Board and adopted by rule.The coverage corresponds to the basin boundaries found in the ERP Applicant's Handbook in Figure 12.2.8-1 and Appendix M. This is a special layer created specifically for regulatory purposes; it is distinct from the standard SJRWMD Surface Water Drainage Basins Layer. This layer mitig basin reg is to delineate ecologically based areas for regulatory mitigation review. This data reflects all Mitigation Basin changes approved by the Governing Board and effective as of November 5, 2008.For more information contact St. Johns River Water Management District 386-312-2314.http://floridaswater.com/gisdevelopment/docs/themes.htmlSWFWMD: This layer illustrates the extent of Comprehensive Watershed Management (CWM) watershed boundaries in the Southwest Florida Water Management District. This layer should be used for cartographic and resource management purposes.Watershed boundaries used in the Comprehensive Watershed Management (CWM) program. These boundaries were derived from the DBASINS coverage.These data were not collected under the supervision of a licensed Professional Surveyor and Mapper. Use of these data requires a general understanding of GIS.The data are being provided on an 'as is' basis. The District specifically disclaims any warranty, expressed or implied, including, but not limited to, the implied warranties or merchantability and fitness for a particular use. The entire risk as to quality and performance is with the user. In no event will the District or its staff be liable for any direct, indirect, incidental, special, consequential, or other damages, including loss of profit, arising out of the use of these data even if the District has been advised of the possibility of such damages. All data are intended for resource management use.For more information contact the Southwest Florida Water Management District (352) 796-7211. https://www.swfwmd.state.fl.us/data/gis/layer_library/category/physical_sparseSFWMD: Recreation of Figure 4.4.1 in Volume IV Basis of Review. 1989 Basins and Cumulative Impact Basins (fka Watersheds).For more information contact the South Florida Water Management District (561) 686-8800.http://www.sfwmd.gov/gisapps/sfwmdxwebdc/dataview.asp?

Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions:

1. The average rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.
2. The change in average rent price (again balanced between nominal rent price and price per square foot) from the previous year.

The data used in this study consist of high-resolution airborne magnetic datasets for solid mineral exploration acquired across the Nigerian nationwide Terrains by the two Canadian firms awarded the contracts (a.g., Fugro Airborne Survey Services, and Patterson Grant and Watson), by the Nigerian Geological Survey Agency (NGSA). The Canadian firms had obtained the airborne magnetic data between 2003 and 2009, approximately along the NW–SE flight lines that were positioned at 90 degrees to the most significant narrow geological strike in the areas covered. Aircraft was flown at typical spaced of about half kilometers intervals to acquire the data, with a 2 km tie-line spacing along the northeast-southwest (NE-SW) directions at 80 m nominal flight elevation. The magnetometer settings were set at 0.1 s intervals to record the data. The combination of the nominal flight height—that was set exceptionally close to the ground surface using narrow line spacing—and the extremely small recording time gaps, helped to achieved a higher resolution of the magnetic anomalies than the general high-altitude airborne magnetic surveys. Prior to the data distribution by the Nigerian Geological Survey Agency, (NGSA) to the interested users, Fugro Airborne Surveys Company preprocessed the essential magnetic data corrections: the geomagnetic gradient was removed from the data using the existing model with the International Geomagnetic Reference Field (IGRF), January 2005 version, as specified in the World Geodetic System 1984 ellipsoid. The Universal Transverse Mercator (UTM) coordinate system was used to project the airborne magnetic data. The airborne magnetic survey data presented in this study covered the Omu-Aran Schist belt zone in parts of the Nigerian South-western Precambrian basement complex (NSPBC), with moderately shallow overburden lithologies.

This dataset contains townships from the Illinois Public Land Survey System in line and polygon form. Line attributes identify state, township and range boundaries, principal meridians, and base lines. Polygon attributes identify meridian, township, range. The nominal scale is 1:62,500. As of 2003, the data are typically distributed in geographic coordinates (longitude and latitude), decimal degrees, and the North American Datum (NAD) of 1983, and this is the default spatial reference of the ArcSDE feature dataset in which the data are stored. The data were originally developed, however, in a custom Lambert Conformal Conic projection and were distributed in that coordinate system for several years. The data were digitized in the late 1960s and in 1984-85 from 7.5- and 15-minute USGS topographic quadrangles. Errors in the location of a given feature are dependent on the accuracy of the original maps and on the accuracy of digitizing. Estimates are that features have an average locational error of at least plus/minus 100 feet.

Click here to access the data directly from the Illinois State Geospatial Data Clearinghouse. These lidar data are processed Classified LAS 1.4 files, formatted to 2,117 individual 2500 ft x 2500 ft tiles; used to create Reflectance Images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Lake county, Illinois covering approximately 466 square miles. Dataset Description: WI Kenosha-Racine Counties and IL 4 County QL1 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a derived nominal pulse spacing (NPS) of 1 point every 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, U.S Survey Feet and vertical datum of NAVD88 (GEOID12B), U.S. Survey Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 2,117 individual 2500 ft x 2500 ft tiles, as tiled Reflectance Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema. Ground Conditions: Lidar was collected April-May 2017, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Ayers established a total of 66 ground control points that were used to calibrate the lidar to known ground locations established throughout the WI Kenosha-Racine Counties and IL 4 County QL1 project area. An additional 195 independent accuracy checkpoints, 116 in Bare Earth and Urban landcovers (116 NVA points), 79 in Tall Grass and Brushland/Low Trees categories (79 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.Link Source: Illinois Geospatial Data Clearinghouse

The National Highway Planning Network (NHPN) dataset was compiled on May 01, 2014 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is a comprehensive network database of the nation's major highway system. It consists of the nation's highways comprised of Rural Arterials, Urban Principal Arterials and all National Highway System routes. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, Hawaii, and Puerto Rico. The nominal scale of the data set is 1:100,000 with a maximal positional error of 80 meters. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529044

This document provides supporting information to assist in the use of the Australian Mafic-Ultramafic Magmatic Events GIS Dataset. The dataset is made publicly available as a GIS at nominal 1:5 000 …Show full descriptionThis document provides supporting information to assist in the use of the Australian Mafic-Ultramafic Magmatic Events GIS Dataset. The dataset is made publicly available as a GIS at nominal 1:5 000 000 scale, and shows the time-space-event distribution of mafic-ultramafic magmatism in Australia from the early Archean to the present day. Development of this GIS has been a multi-year project and earlier released extracts (in viewable pdf form with accompanying Geoscience Australia Records) included compilations for the Archean magmatic record, the Proterozoic magmatic record, and the Australian Large Igneous Provinces (LIPs). Publication of the GIS completes the series with addition of the Phanerozoic magmatic record, and formalisation of the complete record of Archean-Phanerozoic magmatic events as a single series. The chronology of Australian mafic-ultramafic magmatism resolves into 74 magmatic events within, predominately, resolvable bands of ±10 million years. Each event is identified by geological units grouped by similar age - this coeval magmatism may or may not be genetically related and may be in response to different geodynamic environments. These magmatic events range in age from the Eoarchean ~3730 Ma ME 1 - Manfred Event, confined within a small remnant domain within the Yilgarn Craton, to the widespread record of Cenozoic magmatism in eastern Australia (ME 72 to ME 74). The magmatic events range in magnitude from the giant volumes of magma in Large Igneous Provinces, to events whose only known occurrence is an isolated record of dated mafic igneous rock in a single drillhole. The GIS makes it possible to focus on the location of any one of these magmatic events, or groups of magmatic events that may be of interest, and overlay context from any other information that users may have available. The delineation of magmatic events for this study is based on several hundred published ages of mafic and ultramafic igneous rocks from different isotopic systems and minerals. In addition to their ages and extents, primary recorded aspects of each magmatic event include the presence or absence of ultramafic components. Further to this, the presence or correlation of known magmatic-related mineralisation is highlighted in Time-Space-Event Charts of Australia (Appendix D, figures D1 and D2). The basis for mapping has been regional solid geology, interpreted basement geology and surface geology base maps made available by the State and Northern Territory geological surveys, providing insight into the total areal extent of the magmatic systems under cover. Also available to complement the Event GIS are the domains and element boundaries from the Australian Crustal Elements map. These boundaries which are which are based on geophysical extrapolation of crustal elements under the cover of continental basins, provide a framework of the shallow crustal structure of the continent, and are used in this guide. The Crustal Elements digital dataset is available for download from the Geoscience Australia website. Insight into the geodynamic development of the continent is provided by the magmatic event structure through time. The compilation draws attention to concentrations of mafic-ultramafic magmatism in the Archean from ~2820-2665 Ma, in the Proterozoic from ~1870-1590 Ma, and in the late Neoproterozoic-Phanerozoic from ~530-225 Ma. These three time spans contain 39 of the 74 magmatic events, 53% of the entire mafic-ultramafic magmatic event record of the continent. The periods in between have mafic-ultramafic magmatic records that are more dispersed in time. Other features of interest include the shared geographic and crustal element locations of Large Igneous Provinces and numerous events with smaller magma volumes. Read the rest of the Executive Summary in the document.

This data set contains Illinois county boundaries in line and polygon formats. The polygon attribute data include county name and number (FIPS) designations. The line attributes indicate which county lines also form the state boundary. The data were extracted from, and are redundant with, ISGS feature dataset IL_Public_Land_Survey_System. The data set is maintained as a separate entity for ease of query and display. The nominal scale is 1:62,500. As of 2003, the data are typically distributed in geographic coordinates (longitude and latitude), decimal degrees, and the North American Datum (NAD) of 1983, and this is the default spatial reference of the ArcSDE feature dataset in which the data are stored. The data were originally developed, however, in a custom Lambert Conformal Conic projection and were distributed in that coordinate system for several years. The data were digitized in the late 1960s and in 1984-85 from 7.5- and 15-minute USGS topographic quadrangles. Errors in the location of a given feature are dependent on the accuracy of the original maps and on the accuracy of digitizing. Estimates are that features have an average locational error of at least plus/minus 100 feet.

Sub-national administrative boundaries of Asia was made available by UNEP/GRID in 1995. For many of the national boundary coverages there was no information regarding source map scale available. The scale varies between 1:500,000 and 1:5 million; in the case of the former Soviet Union, the only available boundary data was a 1:10 million database. In order to ensure a close match between different national coverages, and to obtain maximum compatibility with other standard medium resolution data sets, all national boundaries and coastlines were replaced with the political boundaries template (PONET) of the Digital Chart of the World (DCW). The DCW is a set of basic digital GIS data layers with a nominal scale of 1:1 million scale. The use of a very detailed international boundaries template for, in some cases, relatively coarse resolution data is quite misleading, but was required to ensure a close match between the national coverages. In any application the smaller cartographic scale (i.e., coarser resolution) of the administrative boundary data in comparison to the international and coastlines template should be kept in mind.

Original Dataset Product: This GIS dataset contains Bare Earth (BE) raster grids depicting lidar-derived elevation data for 2020 Oregon Lidar Consortium South Coast 3DEP project area. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. The nominal pulse density is eight pulses per square meter. The bare earth (BE) digital elevat...

Dataset Description: The CT Statewide GIS Services Lidar project required the planning, acquisition, processing, and creation of derivative products from lidar data collected at a nominal pulse spacing (NPS) of 0.35 meters. Coastal areas were collected to achieve a point density of at least 20 points per square meter (ppsm), while all other areas met or exceeded 14 ppsm. Project standards followed the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2023 rev. A.The dataset was produced using the horizontal datum/projection NAD83 (2011), State Plane Connecticut, U.S. Survey Feet, and the vertical datum NAVD88 (GEOID18), U.S. Survey Feet. Deliverables included Classified LAS 1.4 files tiled into 23,381 tiles measuring 2,500 ft by 2,500 ft, tiled intensity imagery, and tiled bare-earth DEMs—all using the same tiling scheme.Maximum Surface Height Raster and Swath Separation Image tiles 025645_se, 080655_ne, 085655_ne, 085655_nw, 090655_nw, 110660_se, and 135665_se were not provided because all lidar points within the corresponding LAS tiles were marked as withheld. LAS tile 110660_se consists entirely of water and contains no lidar returns; therefore, it is not included in the deliverables.

This GIS dataset shows where Geoscience Australia (GA) has acquired regional seismic reflection data as a part of Australian Government's Onshore Energy Security Program (OESP) in collaboration with State and Territory geological surveys, AuScope and Australian National Seismic Imaging Resource (ANSIR). During 2006-2011 GA collected over 6,500 line kilometres of new world-class seismic reflection data within Australia for use by industry and government. This dataset is generated from files containing CDP (Common Depth Point) coordinates of all OESP seismic surveys. The CDP line is a curve of best fit through the midpoints between sources and receivers, which optimises the fold of the data while minimising the subsurface area of reflections contributing to each nominal CDP. Each trace (source-receiver pair) is allocated to the nearest CDP bin to its midpoint. The interval between each CDP traces is 20 metres.

These are Digital Elevation Model (DEM) data for Sarasota county,as part of the required deliverables for the FL Peninsular FDEM 2018 D19 DRRA Lidar project.Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 2.5 foot hydro-flattened Raster DEM.Dataset Description: FL Peninsular FDEM 2018 D19 DRRA Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, U.S Survey Feet and vertical datum of NAVD88 (GEOID12B), U.S Survey Feet. Sarasota County GIS has subsequently re-projected the data to NAD83 State Plane HARN, U.S. Survey Feet.Raster Cell Size: 2.5 footRequired Vertical Accuracy: The required NVA is: 19.6 cm (0.64 ft)at a 95% confidence level

Geographic Extent: SANDY_Restoration_DE_MD_QL2 Area of Interest covers approximately 3.096 square miles. Lot #5 contains the full project area Dataset Description: The SANDY_Restoration_DE_MD_QL2 project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of State Plane Zone Maryland (1900), NAD83, feet and vertical datum of NAVD1988 (GEOID12A), feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 3842 individual 1500m x 1500m tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 1500m x 1500m schema, and Breaklines in ESRI shapefile format. Ground Conditions: LiDAR was collected in Winter 2013 / Spring 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 78 QA control points and 99 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the SANDY_Restoration_DE_MD_QL2 project area.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Caroline/MD_caroline_dem_ft/ImageServer

This Light Detection and Ranging (LiDAR) dataset is a survey of the Pocomoke and Atlantic Coastal Watersheds in Maryland. The project area consists of approximately 500 square miles. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 0.70 meters. Fugro EarthData, Inc. acquired 151 flight lines in eight lifts on February 6, 7, 9, 13, 15, and 16, 2011; in tidal areas, data was collected within 2 hours (before or after) of mean low tide. The data was divided into 1500 by 1500 meter cells that serve as the tiling scheme. LiDAR data collection was performed with a Piper Navajo twin engine aircraft, utilizing a Leica ALS60 MPiA sensor, collecting multiple return x, y, and z as well as intensity data. LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This data of the Pocomoke and Atlantic Coastal Watersheds in Maryland, was collected at sufficient resolution to provide a nominal point spacing of 0.70 meters for collected points. Up to 4 returns were recorded for each pulse in addition to an intensity value.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Worcester/MD_worcester_slope_m/ImageServer

This dynamic image service provides numeric values representing ground surface heights, based on a digital terrain model (DTM). The ground heights are based on multiple sources. Heights are orthometric (sea level = 0), and water bodies that are above sea level have approximated nominal water heights.Data Sources: The data for this layer comes from the multiple sources listed below, with original source data in its native coordinate system. Depending on the scale being viewed; data from one of these datasets will be returned: Source DataSource Native Pixel SizeApproximate Pixel Size (m)Primary SourcesEngland 2m2 meters2Environment AgencyWales 2m2 meters2Natural Resources WalesNetherlands 3m3 meters3RijkswaterstaatAustria 10m10 meters10GeolandDenmark 3m3.2 meters3GeodatastyrelsenDenmark 10m10 meters10GeodatastyrelsenFinland 3m3 meters3NLSFinland 10m10 meters10NLSNorway 10m10 meters10NMAOS Terrain 5050 meters50Ordnance SurveyFEMA LiDAR DTM3 meters3FEMANED 1/9 arc second0.000030864197530866 degrees3USGSNED 1/3 arc second0.000092592592593 degrees10USGSNED 1 arc second0.0002777777777779 degrees31USGSNED 2 arc second0.000555555555556 degrees62USGSSRTM 1 arc second0.0002777777777779 degrees31NASASRTM 1 arc second DEM-S0.0002777777777779 degrees31Geoscience AustraliaSRTM v4.10.00083333333333333 degrees93CGIAR-CSIEarthEnv-DEM900.00083333333333333 degrees93N Robinson,NCEASGMTED2010 7.5 arc second0.00208333333333333 degrees232USGSGMTED2010 15 arc second0.00416666666666666 degrees464USGSGMTED2010 30 arc second0.0083333333333333 degrees928USGSData Coverage: To see the coverage of various datasets comprising this service, click here.Accuracy: The accuracy of these services will vary as a function of location and data source. Please refer to the metadata available in the services, and follow the links to the original sources for further details. An estimate of CE90 and LE90 are included as attributes.For more information on this service, including the terms of use, visit us online.

Geographic Extent: SANDY_Restoration_DE_MD_QL2 Area of Interest covers approximately 3.096 square miles. Lot #5 contains the full project area Dataset Description: The SANDY_Restoration_DE_MD_QL2 project called for the Planning, Acquisition, processing and derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of State Plane Zone Maryland (1900), NAD83, feet and vertical datum of NAVD1988 (GEOID12A), feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 3842 individual 1500m x 1500m tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 1500m x 1500m schema, and Breaklines in ESRI shapefile format. Ground Conditions: LiDAR was collected in Winter 2013 / Spring 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 78 QA control points and 99 Land Cover control points that were used to calibrate the LiDAR to known ground locations established throughout the SANDY_Restoration_DE_MD_QL2 project area.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Dorchester/MD_dorchester_slope_m/ImageServer

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied and contains boundary and attribute information for parcels of public, private and Aboriginal lands in Australia. Data are sourced primarily from government gazette notices, cadastral maps and plans. A nominal scale of around 1:5 million and a minimum 50 square kilometre threshold limit for land parcels was used in the generalisation of this product from the National Public and Aboriginal Lands data. Data is suitable for GIS applications. This map shows public and private land tenure, including Indigenous land for the whole of Australia at a scale of 1:4.7 million.

The land tenure boundaries depicted on this map generally define broadly classified areas greater than 50 square kilometres. Indigenous land areas between 0.1 and 100 square kilometres are shown more comprehensively by symbols. The information on this map is complemented by statistical tables giving the total area of the land tenure categories for each State and Territory.

This map is also available as free vector GIS data, ArcInfo Export, ArcView Shapefile and MapInfo mid/mif. Please direct any corrections or feedback on this map to mapfeedback@ga.gov.au.

Product Specifications: Coverage: Australia Currency: Mid 1993 Coordinates: Geographical Datum: AGD66 Projection: Simple Conic on two standard parallels 18S and 36S Medium: Printed map (flat and folded). ANZLIC unique identifier: ANZCW0703005424. Metadata Statement.