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Winter and Summer Crop Mapping – Landsat, Sentinel-2 and MODIS, Queensland, 1990 - Ongoing

<p>This dataset shows the broad groups of crops grown in the main cropping areas of Queensland, 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 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').</p>

<p>Each season has 2 maps: 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. </p>

Simple

Identification info

Date (Creation)
2024-12-16
Date (Publication)
2022-07-22
Date (Revision)
2025-12-11
Edition
0.0.4

Publisher

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Author

Department of Environment and Science (2017-2023), Queensland Government - Pringle, Matthew ()
41 Boggo Road, Dutton Park, 4102, Queensland, Australia
Dutton Park
Queensland
4102
Australia

Co-author

Department of the Environment, Tourism, Science and Innovation, Queensland Government
41 Boggo Road, Dutton Park, 4102, Queensland, Australia
Dutton Park
Queensland
4102
Australia
Website
https://www.tern.org.au/

Purpose
<p>The classification algorithm predicts these classes of crops in summer: “Banana”, "Cotton", "Sugarcane", and "OtherCrop" (predominantly sorghum, but also includes, e.g., maize, mungbean, peanut). In winter, the classification algorithm predicts “Cereal” and “Chickpea”.</p> <p>Note that the extent of the mapping changes by season: in winter the maps are restricted to what we define as the 'western' cropping zone only; in summer, predictions extend further, into the potential sugarcane-growing areas of the 'coastal' zone (which includes northern NSW). Any other crops grown in the coastal zone, apart from sugarcane, are not considered.</p>
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Credit
Landsat imagery was obtained from the US Geological Survey. Modified-Copernicus-Sentinel-2 imagery was obtained from the European Space Agency. MODIS MOD13Q1 imagery was obtained from the LP DAAC Data Pool.
Status
On going

Point of contact

Department of Environment and Science (2017-2023), Queensland Government - Pringle, Matthew ()
41 Boggo Road, Dutton Park, 4102, Queensland, Australia
41 Boggo Road
Dutton Park
Queensland
4102
Australia

Point of contact

Department of the Environment, Tourism, Science and Innovation, Queensland Government - Data Enquiries, Earth Observation and Social Sciences (EOSS) ()
41 Boggo Road, Dutton Park, 4102, Queensland, Australia
41 Boggo Road
Dutton Park
Queensland
4102
Australia

Spatial resolution

Spatial resolution
30
Topic category
  • Imagery base maps earth cover
  • Farming

Extent

Description
Note that a larger extent is covered by the summer crop mapping compared with the winter.
N
S
E
W


Temporal extent

Time period
1990-01-01
Maintenance and update frequency
Quarterly
GCMD Science Keywords
  • CROPLAND
ANZSRC Fields of Research
  • Agricultural land management
  • Crop and pasture production
TERN Platform Vocabulary
  • LANDSAT-5
  • LANDSAT-7
  • LANDSAT-8
  • LANDSAT-9
  • Terra
  • Aqua
  • Sentinel-2A
  • Sentinel-2B
TERN Instrument Vocabulary
  • TM
  • ETM+
  • OLI
  • MSI
  • MODIS
TERN Parameter Vocabulary
  • vegetation functional type presence
  • Unitless
QUDT Units of Measure
  • Unitless
GCMD Horizontal Resolution Ranges
  • 1 meter - < 30 meters
GCMD Temporal Resolution Ranges
  • Monthly - < Annual

Resource constraints

Use limitation
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
File name
88x31.png
File description
CCBy Logo from creativecommons.org
File type
png
Linkage
https://w3id.org/tern/static/cc-by/88x31.png

Title
Creative Commons Attribution 4.0 International Licence
Alternate title
CC-BY
Edition
4.0
Website
https://creativecommons.org/licenses/by/4.0/

Access constraints
License
Use constraints
Other restrictions
Other constraints
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
Other constraints
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Other constraints
The Department of Environment, Tourism, Science and Innovation requests attribution in the following manner. State of Queensland (Department of Environment, Tourism, Science and Innovation) 2025.Update data available at http://qldspatial.information.qld.gov.au/catalogue/

Resource constraints

Classification
Unclassified
Supplemental Information
Filenames follow a simple convention: cropmap_<season><year>.gpkg <br> Example: cropmap_winter2020.gpkg

Distribution Information

Distribution format

Distributor

Distributor

Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
OnLine resource
Download crop files

OnLine resource
crop_type

Winter and summer crop mapping – Landsat, Sentinel-2 and MODIS, Queensland, 1990 - ongoing

OnLine resource
Landscapes map visualizer - Winter and summer crop mapping

OnLine resource
ro-crate-metadata.json

Data quality info

Hierarchy level
Dataset
Other
Pastures may be incorrectly classified as cropping, particularly in wet years or in seasons when rapid green-up occurs at a similar time to actively growing crops. Land-in-transition: formerly-cropped land may still appear as cropped if the vegetation greens-up during the growing period, e.g. weeds or redundant or abandoned crops and crop residue are dominating the ground cover. Failed crop: a failed crop will be detected if it reached a certain level of greenness, which may vary between region, seasons and years. Water: vegetated areas around watercourses and dams may be classified as crop due to the strong greening-up phase after rainfall events. Some areas of shallow water or water with emergent or floating vegetation may be incorrectly classified as cropped, due to seasonal patterns in greenness that may be similar to crops. Topographic effects: areas with steep slopes (i.e. a slope of greater than 10%) are excluded. DEM inaccuracies may result in some areas being excluded.

Report

Result

Statement
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.

Resource lineage

Statement
<p>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. 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 and validated against >4000 independent observations. 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'). These datasets are GDA2020 compliant. </p>
Hierarchy level
Dataset

Process step

Description
Attributes: <br> The predicted class 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'). <br>

Reference System Information

Reference system identifier
EPSG/EPSG:4326

Reference system type
Geodetic Geographic 2D

Metadata

Metadata identifier
urn:uuid/bae77dd5-ba0a-41b4-973b-a800236b8476

Title
TERN GeoNetwork UUID

Language
English
Character encoding
UTF8

Point of contact

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Type of resource

Resource scope
Dataset
Metadata linkage
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/bae77dd5-ba0a-41b4-973b-a800236b8476

Point-of-truth metadata URL

Date info (Creation)
2014-04-11T00:00:00.000000+00:00
Date info (Revision)
2025-12-11T22:39:47.341016+00:00

Metadata standard

Title
ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
Edition
1

Metadata standard

Title
ISO/TS 19115-3:2016
Edition
1.0

Metadata standard

Title
ISO/TS 19157-2:2016
Edition
1.0
Title
Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
Date (published)
2021
Edition
1.0

Identifier

Code
10.5281/zenodo.5652221
Website
https://github.com/ternaustralia/TERN-ISO19115/releases/tag/v1.0

 
 

Overviews

thumbnail

Spatial extent

N
S
E
W


Keywords

ANZSRC Fields of Research
Agricultural land management Crop and pasture production
GCMD Science Keywords
CROPLAND

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Access to the portal
Read here the full details and access to the data.

Associated resources

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