logo
Data
METADATA

Seasonal Cover Deciles - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage

Parent Dataset: Seasonal fractional cover - Landsat, JRSRP algorithm Version 3.0, Australia coverage
Ver: 3.0
Status of Data: on going
Update Frequency: quarterly
Security Classification: unclassified
Viewed: 0
Accessed: 0

Description

Two fractional cover decile products, green cover and total cover, are currently produced from the historical timeseries of seasonal fractional cover images across Australia, available for each 3-month calendar season. These products compare, at the per-pixel level, the level of cover for the specific season of interest against the long term cover for that same season. For each pixel, all cover values for the relevant seasons within a baseline period (1990 - 2020) are classified into deciles. The cover value for the pixel in the season of interest is then classified according to the decile in which it falls.
This product is based upon the JRSRP Fractional Cover 3.0 algorithm.

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.

Purpose
These decile datasets are an excellent way of identifying areas of low or high cover, relative to what is typical for that location and season.

Supplemental Information
Data are available as cloud optimised GeoTIFF (COG) files. COG files are easier and more efficient for users to access data corresponding to particular areas of interest without the need to download the data first.

Lineage
Summary of processing:
Seasonal composite of fractional cover > baseline statistics > seasonal cover deciles.

Data Creation

Rankings:
The seasonal fractional cover timeseries for the period 1990 - 2020 is used as a baseline. Every season is ranked against every available seasonal value within the baseline period, for the corresponding season, on a per-pixel basis.
Rankings are expressed as deciles, so a cover value which falls within the bottom 10% of values in the baseline period is given as decile 1, and a cover value which falls in the top 10% is given as decile 10. Two versions of this are created – one which ranks total cover (green + non-green), and one which ranks only the green fraction.
Because the seasonal composites are used, the data are representative of the season, and robust against outliers. The baseline period is sampled evenly across the whole period, so there is no bias towards the years with more imagery available.


Example:
For example, a total cover value for Spring 2013 is ranked against the total cover in all the Spring images in the baseline period. A green cover value in Spring 2013 is ranked against the green cover fractions in all the Spring images in the baseline period.


Seasonal fractional cover process:
Refer to the Methods section in Seasonal Fractional Cover - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage.


Temporal coverage

From 1/1/1990

Dates

Creation date

3/28/2022

Publication date

10/4/2024

Revision date

12/16/2024

Citation information

How to cite this collection:

Department of Environment and Science (2017-2023), Queensland Government & Joint Remote Sensing Research Program (2024): Seasonal Cover Deciles - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage. Version 3.0. Terrestrial Ecosystem Research Network. (Dataset). https://portal.tern.org.au/metadata/TERN/169dbb12-846f-4536-9dab-e31378d16b41

Rights and Licensing

CC-BY

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

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.
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.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting


It is not recommended that these data sets be used at scales more detailed than 1:100,000.


Keywords

Parameters
Platforms
GCMD Science
ANZSRC - FOR
Horizontal Resolution
Temporal Resolution
Topic Categories

People and Organisation

AuthorsAuthors
Point of ContactPoint of Contact
PublisherPublisher
Distributor's OrganisationDistributor's Organisation
Rights HolderRights Holder

Data Quality

Data QualityData Quality
  • Data Quality Assessment Scope:

    1) The input imagery was processed to level L1T by the USGS. Geodetic accuracy of the product depends on the image quality and the accuracy, number, and distribution of the ground control points.
    2) The fractional cover model was compared to samples drawn from approximately 4000 field reference sites.

  • Data Quality Assessment Result:

    1) The USGS aims to provide image-to-image registration with an accuracy of 12 m. Refer to the Landsat 8 Data Users Handbook for more detail.
    2) The fractional cover model predicts the vegetation cover fractions with MAE/wMAPE/RMSE of:
    bare - 6.9%/34.9%/14.5%
    PV - 4.6%/37.9%/10.6%
    NPV - 9.8%/25.2%/16.9%.

Additional information

CollectionsCollections

Related datasets

with matching subjects

Access data
Contacts
  • Terrestrial Ecosystem Research Network
  • Building 1019, 80 Meiers Rd
  • QLD 4068
  • Australia
Spatial coverage
Spatial description
Australia