E792B87656DE3F54E040CD9B21446A61EnglishData Requests OfficerDepartment of Environment, Parks and Water SecurityGeospatial Services Branch (on behalf of department)datarequests.depws@nt.gov.au2022-03-01AS/NZS ISO 19115 Geographic Information - Metadata, ANZLIC Metadata Profile1.0 Vegetation and Land Type Mapping of Amungee Mungee Pastoral Lease (PPL 1100)2013-09-30This report and mapping has been developed to support the assessment of proposed subdivision of NT Portion 1079, Amungee Mungee Station located on the Carpentaria Highway on the eastern margin of the Sturt Plateau. The mapping is the result of field observations and site inspections integrated with satellite imagery to derive land type classes. Class descriptions include dominate land form, vegetation and soils information. A total of twelve vegetation / land types have been described with three additional classes for areas that were unclassified, cleared or had open water.
The vegetation / land type descriptions should only be considered a reconnaissance level of investigation and have not been formally assessed for line-work or classification accuracy. The spatial data is relevant to a scale of 1:100,000.
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Supplied by the Department of Environment, Parks and Water Security. Copyright Northern Territory Government.English-16.868-16.293133.879134.4442012-06-132013-09-30datasetnot knownComplete0not knownGIS editing tools were used to rectify all overshoots and undershoots in line work. Polygon topology rules applied are; must not overlap, must not have gaps and each polygon has only one label.0not knownLand Type mapping boundaries and image classification results have not been field validated for accuracy or precision. The spatial data is relevant to a scale of 1:100,000.0not knownThe vegetation / land type descriptions contained in the report should only be considered a reconnaissance level of investigation due to the limited number of sites conducted to support the survey. Attribute values, as described in the Data Dictionary below, have been added to each polygon.0Field data collection was conducted in June 2012.
2007 Landsat TM5 multispectral satellite imagery was used to classify the data into 15 vegetation / land types using eCognition software with further assessment undertaken using a Geographic Information System (GIS).