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Kurnalpi 100 000 scale regolith digital dataNote: This metadata describes the dataset in accordance with the ANZLIC (Australia New Zealand Land Information Council) Core Metadata Guidelines Version 2. Dataset citationANZLIC unique identifier: ANZCW0703002364 Title: Kurnalpi 100 000 scale regolith digital data CustodianCustodian: Geoscience Australia Jurisdiction: Australia DescriptionAbstract: Mapping of the surface distribution of regolith-landform units and of potential geochemical sampling media covering the Kurnalpi 1:250 000 map sheet in the Eastern Goldfields, Western Australia, undertaken in 1995 by M.A. Craig, L. Rogers and H.M.Churchward as part of the National Geoscience Mapping Accord (NGMA). GIS construction by P. Ursem and G. Michalowski. ANZLIC search words:
Spatial domain:
Geographic extent name: KURNALPI - WA-2525 - 1:50 000 Map Series - Western Australia Geographic extent polygon: 121.5 -30, 123 -30, 123 -31, 121.5 -31, 121.5 -30, Note: The format for each Geographic extent name is: Name - Identifier - Category - Jurisdiction (as appropriate) See GEN Register
Data currencyBeginning date: 1997-01-01 Ending date: 1997-12-31 Dataset statusProgress: Complete Maintenance and update frequency: Not Known Access
Access constraints: Licence and fee required Free Data DownloadData qualityLineage: Regolith-landforms were generated from field observations and interpretation using aerial photographs (1:82 0000 b/w), satellite imagery (Landsat TM) gamma-ray spectrometrics data (90m cell size grids derived from airborne magnetic surveys) and magnetic data (90m cell size grids derived from airborne magnetic surveys). Geological mapping and other geological information obtained from industry, and state/Australian Government bodies are incorporated. Mineral deposit locations and information, where included in particular themes, is largely sourced from the MINLOC database maintained by BRS. Topographic themes have been provided by AUSLIG and DOLA with agreement that public release of any topographic data by AGSO will be in non digital form only. Some amendments to the topographic data have been made by the authors. Lineage of topographic data, prior to receipt from AUSLIG and DOLA, is uncertain. Maps were compiled from unrectified photo overlays onto topographic bases supplied by AUSLIG and DOLA (see notes on topographic data above). Drainage and, where necessary, other topographic features (eg fence lines) were used for spatial control of the regolith-landform data. Compilations were digitally captured either by hand or automatically by scanning and vectorising procedures. Point data with database origins have been located largely by non-differential GPS. Some detail may have been generalised, repositioned, or omitted from the primary data for cartographic purposes. Positional accuracy: The most prominent horizontal positional inaccuracy in this dataset has been introduced during compilation to topographic base maps, and is estimated at up to 300m. The main source of error is inaccuracies in the location of topographic features on the base maps, which is compounded by insufficient topographic features in some areas of the base maps with which to accurately align the photo overlays. Positional errors generated by distortions in the aerial photos and errors during the data capture process are difficult to quantify and are believed to be negligible in comparison to the topo base error. GPS located features have an error of up to 100m due to selective availability imposed on GPS readings. The MINLOC data has been found to have errors of up to several kilometres, and efforts have been made by AGSO geologists during geological map production to correct the errors using GPS, and/or aerial photos and topographic base maps as a spatial control. Attribute accuracy: The bulk of attributes in this data set are qualitative and quantitative regolith-landform observations and measurements. Classifications of regolith and landform units are largely based on AGSO's RTMAP guidelines, and based on conventional regolith-landform mapping techniques (field observations, photo/remote sensed satellite and geophysical imagery interpretation, sample collection and analysis where appropriate), and are developed from well established and standardised soils, geomorphic and landscape classification schemes. Logical Consistency: Rigorous quality control has ensured consistency in data structures and standards across the dataset. Completeness: The level of work undertaken to map the project area varies according to the nature of the regolith-landforms. Areas with large amounts of in situ regolith relating to greenstone basement have been mapped with numerous field observations with attention paid to potential geochemical sampling media. Those tracts of land with large amounts of non greenstone regolith may have been mapped with fewer or no field observations because of the relatively higher reliability available from interpretative techniques. Substantial data collection and subdivision has been directed to large areas of seemingly similar transported materials and the identification of their surface lag types to avoid creating massive nondescript units that may require substantial revisional mapping at a later date. Reliability diagrams are included with each hardcopy release of a map sheet to display the distribution of different levels of mapping. Contact information
Metadata informationMetadata date: 2013-03-08 Additional metadataMetadata reference XHTML: http://www.ga.gov.au/meta/ANZCW0703002364.html Metadata reference XML: http://www.ga.gov.au/meta/ANZCW0703002364.xml . Authors:Craig, M.A. |
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