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Layer: 2017-2018 woody vegetation clearing (ID: 244)

Name: 2017-2018 woody vegetation clearing

Display Field: descr

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: The classes are identified by the [code] attribute as follows: 1- Pasture; 2- Crop; 3- Settlement; 4- Mine; 5- Infrastructure; 6- Timber plantation; 7- Thinning; 8- Missed clearing in previous period; 10- Natural disaster damage; 11- Natural tree death. Due to the range of overpass dates, the SLATS mapping period is not a precise 365-day period, and this also varies from scene to scene. This means that the area of clearing mapped in a given period is not necessarily comparable to the area mapped in another period; variations in the satellite overpass dates mean that reporting periods can be longer or shorter than a year. Therefore, for reporting, the total area of mapped clearing (hectares) is converted to an annual clearing rate (hectares/year) based on a 1st August–1st August period. This conversion makes the results comparable by re-weighting shorter or longer periods, based on the assumption that clearing occurs at a uniform rate throughout the year. Refer to section 2 of the 2015–16 report for more information: ‘Land cover change in Queensland 2015–16: Statewide Landcover and Trees Study. (2017) Department of Environment and Science available online at Refer to the ‘Land cover change in Queensland' report relevant to the 2015-2016 data period for lineage information. Reports are available online at The final raster mosaic was vectorised and attributed to a uniform set of attributes, consistent across all SLATS periods. Geometrically corrected Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) or Landsat 8 Operational Land Imager (OLI) L1T images are acquired from the USGS (, and radiometric standardisation, and topographic correction applied. Cloud, smoke and shadow contamination were masked, using automatic masks generated using the methods of Zhu & Woodcock (2012), combined with manual editing to ensure accuracy. All the data described here has been generated from the analysis of Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI data acquired as ortho-rectified L1T images from USGS. Imagery has a spatial resolution of 30m. Analyses by the USGS suggest that the locational error is below a single pixel (Storey et al, 2014). Reference: Storey J, Choate M, and Lee K, (2014) ‘Landsat 8 Operational Land Imagery On-Orbit Geometric Calibration and Performance’ Remote Sensing, 6(11), pp. 11127-11152.

Service Item Id: c63d7772b9e646ce8cd0e1f7701a2781

Copyright Text: &copy State of Queensland (Department of Environment and Science) 2020. This material is licensed under a Creative Commons - Attribution 3.0 Australia licence.

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 15000000

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Drawing Info: Advanced Query Capabilities:
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HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Supported Operations:   Query   Query Attachments   Query Analytic   Generate Renderer   Return Updates

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