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 http://www.qld.gov.au/environment/land/vegetation/mapping/slats-reports/. Refer to the ‘Land cover change in Queensland' report relevant to the 2015-2016 data period for lineage information. Reports are available online at http://www.qld.gov.au/environment/land/vegetation/mapping/slats-reports/. 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 (http://earthexplorer.usgs.gov/), 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

Extent:

Drawing Info:

Renderer:

Simple Renderer:

Symbol:

Style:

Color:

Outline:

Style:

Color:

Width:

Label:

Description:

Transparency:

Labeling Info:

Advanced Query Capabilities:

HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:

objectid ( type: esriFieldTypeOID, alias: OBJECTID )
code ( type: esriFieldTypeInteger, alias: Code )
descr ( type: esriFieldTypeString, alias: Description, length: 31 )
shape ( type: esriFieldTypeGeometry, alias: SHAPE )

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

Iteminfo Thumbnail Metadata