301E6072922878EAE0632144CD9B67F5EnglishData Requests OfficerDepartment of Lands, Planning and EnvironmentGeospatial Services Unit (on behalf of department)Datarequests.DLPE@nt.gov.au2025-03-20AS/NZS ISO 19115 Geographic Information - Metadata, ANZLIC Metadata Profile1.0 Vegetation Survey of Groote Eylandt, 2018. Version 22025-03-18 This spatial dataset provides polygon information delineating vegetation community boundaries at a scale of approximately 1:50 000 and covers Groote Eylandt and other islands in the Groote archipelago, including Bickerton and Winchelsea. The study area covers approximately 261 025 ha, excluding 718 089 ha mapped as ocean, and is within the Groote subregion of the Arnhem Coastal Bioregion. The majority of vegetation sites were surveyed in 2018. Version 1 was published in 2021. Version 2 (this version) incorporates additional field data collected by the Department of Lands, Planning and Environment and GEMCO between 2018 and 2024. Polygon boundaries have been revised and updated to reflect additional data. The primary purpose of the project was to produce vegetation and habitat mapping for Groote Eylandt and other islands in the Groote archipelago, at an appropriate scale for the management of environmental assets within the Anindilyakwa Indigenous Protected Area. The dataset describes vegetation communities at four levels in accordance the NT National Vegetation Information System mapping (NRETAS, 2007), including Class, Structural Formation, Broad Structural Formation and Sub-Formation. CAUTION: Polygon boundaries were derived using Sentinel-2 satellite image data (2018 annual composite, 10m spatial resolution). When assessing specific areas within the mapping it is recommended a site inspection is undertaken to establish unmapped variation and confirm mapping accuracy on the ground. Although field information has been incorporated into the development of this data, the final dataset has not been validated. Users are advised that attribute accuracy varies over the study area.Download the spatial data package (contains spatial data, maps and reports) via data.nt.gov.au/ You are licensed to use the DLPE geospatial products on the terms and conditions set out in: Creative Commons Attribution 4.0 International Public License (CC BY 4.0) at: creativecommons.org/licenses/by/4.0/legalcode If you do not agree to the terms and conditions you must not use the geospatial products. You are free to copy, communicate and adapt the licensed material, provided that you abide by the licence terms (including Attribution) and attribute the licensed material using the statement: Supplied by the Department of Lands, Planning and Environment. Copyright Northern Territory Government.English-14.50097-13.50038136.04936137.000522025-03-18datasetnot knownCOMPLETE0not knownGIS editing tools were used to rectify all overshoots and undershoots in line work. Polygon topology rules applied are; must not overlap and must not have gaps.0not knownPOLYGON DATA - Polygon boundaries were generated from rectified Sentinel-2 image data provided by QDES with a geometric accuracy of less than 12.5 m (ESA, 2015). This level of accuracy is generally considered high to very high.0not knownAttribute values, as described in the Data Dictionary below, have been added to each polygon. Structural classification follows the NVIS classification (NVIS Technical Working Group 2017). Descriptions include detailed structural and floristic characteristics, and associated landform and soils where applicable. Site data is generally compliant with: Hnatiuk RJ, Thackway R and Walker J 2009, 'Vegetation': in National Committee on Soil and Terrain (NCST). Australian Soil and Land Survey Field Handbook. Third Edition. Australian Soil and Land Survey Handbook Series, CSIRO Publishing, Melbourne. Brocklehurst P, Lewis D, Napier D and Lynch D 2007, Northern Territory Guidelines and Field Methodology for Vegetation Survey and Mapping. Technical Report No. 02/2007D. Department of Natural Resources, Environment and the Arts, Northern Territory Government, Darwin. And: NVIS Technical Working Group (2017) Australian Vegetation Attribute Manual: National Vegetation Information System, Version 7.0. Department of the Environment and Energy, Canberra. Prep by Bolton MP, deLacey C and Bossard KB (Eds).0Vegetation community groups were derived from a statistical analysis of field data, based on structural, floristic characteristics and landscape position. Some groups were combined and broadened where remotely sensed data could not easily distinguish between them. Vegetation communities were mapped using an object-based image analysis approach. A range of satellite image data and derived products and indices were used to delineate and classify vegetation community polygons, based primarily on Landsat (February 2016), Sentinel-2 (September 2016), Digital Elevation Model (May 2010) and Radiometric (2015) data. All data were processed to a consistent coordinate system (GDA94), pixel size (10 m) and footprint. Image objects were generated using a multiresolution segmentation with a scale parameter of 10. Image objects were classified using a Random Trees model trained using field data, applying contextual rules (e.g. proximity to drainage lines), and undertaking some manual editing to increase classification accuracy. Classified image objects were converted to ESRI shapefile format (.shp) for further processing, including smoothing to eliminate pixelated polygon outlines. Spatial processing was undertaken using Trimble eCognition Developer 9.2 and ArcGIS 10. Version 1: published 8th December 2021. Custodian - Flora and Fauna Division. Version 2: published 18th March 2025. Custodian - Rangelands Division. Spatial data formats are ESRI file geodatabase and shapefiles. Data is stored in datum GDA94, geographics.