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Environment/ActiveCropping (MapServer)

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Service Description: This dataset shows the crops grown in Queensland's main cropping areas, for the winter and summer growing-seasons, from 1988 to the current year. The winter growing-season is defined as June to October, and the summer growing- season is November to May. The basis of the maps is imagery from the (when available) Landsat-5 TM, Landsat-7 ETM+, Landsat-(8,9) OLI, and Sentinel-2(A,B) satellites. MODIS MOD13Q1 imagery was used as a backup in the case of large, temporal data gaps. Clusters of temporally similar pixels, termed ‘segments’, were identified in the imagery for each growing season, and served as an approximation of field boundaries. Per-segment phenological information, derived from the satellite imagery, was then combined with a tiered, tree-based statistical classifier, using greater-than 10 000 field observations as training data, and greater-than 4000 independent observations for validation. The dataset supersedes a former crop-mapping effort (Schmidt et al., 2016). Datasets published to the TERN Data Portal contain 2 maps per season: an end-of-season prediction and a mid-season prediction. The mid- season prediction is labelled ‘_vInterim’ to indicate that it is based on a relatively short time series and should be used with caution. Only end-of season predictions are published to the QSpatial Discovery Portal. For optimum display symbology files have been provided for both QGIS and ArcGIS. The predicted group is stored in the attribute table (field ‘class’), along with the probability of the prediction (field ‘p_class’ – the larger this value, the more certain is ‘class’).

Map Name: Active Cropping 1988 onwards

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Layers: Description: This dataset shows the crops grown in Queensland's main cropping areas, for the winter and summer growing-seasons, from 1988 to the current year. The winter growing-season is defined as June to October, and the summer growing- season is November to May. The basis of the maps is imagery from the (when available) Landsat-5 TM, Landsat-7 ETM+, Landsat-(8,9) OLI, and Sentinel-2(A,B) satellites. MODIS MOD13Q1 imagery was used as a backup in the case of large, temporal data gaps. Clusters of temporally similar pixels, termed ‘segments’, were identified in the imagery for each growing season, and served as an approximation of field boundaries. Per-segment phenological information, derived from the satellite imagery, was then combined with a tiered, tree-based statistical classifier, using greater-than 10 000 field observations as training data, and greater-than 4000 independent observations for validation. The dataset supersedes a former crop-mapping effort (Schmidt et al., 2016). Datasets published to the TERN Data Portal contain 2 maps per season: an end-of-season prediction and a mid-season prediction. The mid- season prediction is labelled ‘_vInterim’ to indicate that it is based on a relatively short time series and should be used with caution. Only end-of season predictions are published to the QSpatial Discovery Portal. For optimum display symbology files have been provided for both QGIS and ArcGIS. The predicted group is stored in the attribute table (field ‘class’), along with the probability of the prediction (field ‘p_class’ – the larger this value, the more certain is ‘class’).

Service Item Id: 78aa13556b8d47bfb14e60ac338a75a2

Copyright Text: © State of Queensland (Department of Resources) 2023

Spatial Reference: 3577  (3577)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: true

MaxRecordCount: 2000

MaxImageHeight: 4320

MaxImageWidth: 7680

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates   Generate KML