20250130
23431100
1.0
FALSE
activecrop_winter2005_x
1451940.000000
1989510.000000
-3312210.000000
-2419320.000000
1
002
Projected
GDA2020
Linear Unit: Meter (1.000000)
GDA2020_Australian_Albers
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20250130
23432900
20250130
23432900
{C6C3009B-8EAB-416C-9513-A41A02BC9D60}
x
dataset
Department of Environment, Tourism, Science and Innovation
Science Leader, Remote Sensing Centre
0700000000
41 Boggo Road
Dutton Park
QLD
4000
EOSSDataEnquiries@des.qld.gov.au
20250130
ArcGIS Metadata
1.0
Enterprise Geodatabase Feature Class
Download Service
Department of Natural Resources and Mines
Open the Queensland Spatial Catalogue (QSpatial). Select the large SEARCH button and all available records are displayed. Select one of the four filter options provided and then the further options within the filter. The resultant search is then displayed. Select your record and complete the order.
http://qldspatial.information.qld.gov.au/catalogue/
Enterprise Geodatabase Feature Class
Department of Natural Resources and Mines
nil
For use in desktop and web applications capable of connecting to Open Geospatial Consortium (OGC) web map service endpoints. Some clients append request parameters for the service capabilities file so depending on your client in use you may have to remove the parameters when copying the url below.
https://spatial-gis.information.qld.gov.au/arcgis/services/Environment/ActiveCropping/MapServer/WMSServer?request=getcapabilities&service=WMS&version=1.3.0
OGC:WMS-1.3.0-http-get-capabilities
Web Map Service version 1.3.0
CLASS
This dataset shows the crops grown in Queensland's main cropping areas, for the winter and summer growing-seasons, from 1990 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. An algorithm then interpolates pixel-wise data to weekly averages, and determines the best match to one of the seasnal classes. The algorithm was trained with >10000 field observations, and validated against >4000 independent observations. 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').
Enterprise Geodatabase Feature Class
Department of Natural Resources and Mines
nil
For use in desktop and web applications capable of connecting to Open Geospatial Consortium (OGC) web map service endpoints. Some clients append request parameters for the service capabilities file so depending on your client in use you may have to remove the parameters when copying the url below.
https://spatial-gis.information.qld.gov.au/arcgis/rest/services/Environment/ActiveCropping/MapServer
WWW:LINK-1.0-http--link
ArcGIS REST API
CLASS
This dataset shows the crops grown in Queensland's main cropping areas, for the winter and summer growing-seasons, from 1990 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. An algorithm then interpolates pixel-wise data to weekly averages, and determines the best match to one of the seasonal classes. The algorithm was trained with >10000 field observations, validated against >4000 independent observations. 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').
Enterprise Geodatabase Feature Class
10.0
ESRI ArcGIS Server Geoportal Extension Content Type
Department of Environment, Tourism, Science and Innovation
Remote Sensing Centre
From the Queensland Spatial Catalogue as
400
http://qldspatial.information.qld.gov.au/catalogue/custom/search.page?q=%22Active crop groups 1990 ongoing%22
withheld
Active crop groups 1990 ongoing
DP_ACTIVE_CROP_1990_2024.zip
2024-12-16
Department of Environment, Tourism, Science and Innovation
Science Leader, Remote Sensing Centre
Department of Environment, Tourism, Science and Innovation
Science Leader, Remote Sensing Centre
This dataset shows the broad groups of crops grown in Queensland's Strategic Cropping Land, for a particular growing-season.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').
The classification algorithm predicts these classes of crops in summer: "Banan", "Cotton", "Sugarcane", and "OtherCrop" (predominantly sorghum, but also includes, e.g., maize, mungbean, peanut). In winter, the classification algorithm predicts "Cereal" and "Chickpea".
Department of Environment, Tourism, Science and Innovation
Science Leader, Remote Sensing Centre
+61731705688
41 Boggo Road
Dutton Park
QLD
4000
AU
EOSSDataEnquirie@des.qld.gov.au
Spatial Data Format
0.0.3
AGRICULTURE
AGRICULTURE-Crops
LAND-Cover
LAND-Use
ANZLIC Search Words
Sciences
Queensland Open Data Categories
Active
crop
active crop
sugarcane
Common name
Theme keywords input by metadata
publisher
AGRICULTURE
AGRICULTURE-Crops
LAND-Cover
LAND-Use
Sciences
Active
crop
active crop
sugarcane
Resource Access Level
© State of Queensland (Department of Environment, Tourism, Science and Innovation) 2024
This material is licensed under a Creative Commons - Attribution 4.0 International licence.
The Department of Environment, Tourism, Science and Innovation requests attribution in the following manner:
© State of Queensland (Department of Environment, Tourism, Science and Innovation) 2024.
Esri ArcGIS 13.1.5.41833
144.7
153.6
-28.9
-15.8
1990-01-01
2024-12-31
1
146.174345
152.752304
-21.115873
-29.664385
Public
Metadata Access Level
In summer, notional user's accuracies are: “Banana” = 99%, "Cotton" = 87%, "Sugarcane" = 98%, and "OtherCrop" = 98%. In winter the user's accuracies are: "Cereal" = 89%, and “Chickpea” = 73%. User’s accuracies cannot be reported as anything more than notional approximations, due to sampling constraints.
All the data described here has been generated from the analysis of satellite imagery at a spatial resolution of approximately 30 m. A grid of Landsat TM, ETM+ and OLI data were supplemented by Sentinel-2 (after 2016) and MODIS (after 2000) imagery when large temporal data gaps occurred.
These datasets are GDA2020 compliant.
30279
EPSG Geodetic Parameter
Dataset
2007-07-16
Version 6.13
9.9(12.8.0)
EPSG
9.9(12.8.0)
EPSG
9.9(12.8.0)
activecrop_winter2005_x
Feature Class
30279
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
CLASS
CLASS
String
10
0
0
P_CLASS
P_CLASS
Double
8
38
8
SEASON
SEASON
String
6
0
0
YEAR
YEAR
Integer
4
10
0
st_area(shape)
st_area(shape)
Double
0
0
0
st_perimeter(shape)
st_perimeter(shape)
Double
0
0
0
Simple
FALSE
30279
FALSE
FALSE