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Seasonal Dynamic Reference Cover Method - Landsat, JRSRP Algorithm Version 3.0, Queensland 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

The seasonal dynamic reference cover method product compares the current ground cover level of each pixel to a reference pixel based on the historical timeseries and is available for Queensland from 1987 to present. It is created using a modified version of the dynamic reference cover method developed by Bastin et al (2012) . This approach calculates a minimum ground cover image over all years to identify locations of most persistent ground cover in years with the lowest rainfall, then uses a moving window approach to calculate the difference between the window's central pixel and its surrounding reference pixels. The output is a difference image between the cover amount of a pixel's reference pixels and the actual cover at that pixel for the season being analysed. Negative values indicate pixels which have less cover than the reference pixels.
The main differences between this method and the original method are that this method uses seasonal fractional ground cover rather than the preceding ground cover index (GCI) and this method excludes cleared areas and certain landforms (undulating slopes), which are considered unsuitable for use as reference pixels.
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.

This dataset was produced using Landsat data sourced from US Geological Survey.

Purpose
This product provides a way to compare ground cover across the landscape within a particular season.

Supplemental Information
Output for this product is in the form of a two band TIFF image. Band 1 - the 'delta GC' image. Band 2 - the reference pixel image. 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
Landsat surface reflectance data > multiple single-date fractional cover datasets > seasonal composite of fractional cover > seasonal dynamic reference cover image

Data Creation
Excluded Areas: A mask of excluded areas not to be used in the development of the reference pixels is created. This mask includes areas that have previously been cleared and also undulating plains. This data is obtained from the SLATS historical clearing data across QLD.
Find Reference Pixels: The 90-95 percentile of minimum ground cover are selected from the long term minimum ground cover statistical product, masked with the excluded areas mask described above.
Create the Delta GC layer: For each pixel this raster equals the difference between the ground cover value and the reference pixel value and is scaled by 100 to avoid negative values (ground cover value - reference pixel value + 100). Values closer to 100 are better performing.

Temporal coverage

From 6/1/1986

Dates

Creation date

10/30/2022

Publication date

9/23/2024

Revision date

9/24/2024

Citation information

How to cite this collection:

Joint Remote Sensing Research Program & Department of Environment and Science (2017-2023), Queensland Government (2024): Seasonal Dynamic Reference Cover Method - Landsat, JRSRP Algorithm Version 3.0, Queensland Coverage. Version 3.0. Terrestrial Ecosystem Research Network. (Dataset). https://portal.tern.org.au/metadata/TERN/de2d53ec-1c00-46ac-bd01-d253ab0f2eb2

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
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Copyright 2010-2022. JRSRP. Rights owned by the Joint Remote Sensing Research Project (JRSRP).
While every care is taken to ensure the accuracy of this information, the Joint Remote Sensing Research Project (JRSRP) makes no representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which might be incurred as a result of the information being inaccurate or incomplete in any way and for any reason.

Keywords

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

People and Organisation

AuthorsAuthors
Point of ContactPoint of Contact
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Distributor's OrganisationDistributor's Organisation

Data Quality

Data QualityData Quality
  • Data Quality Assessment Scope:
    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.
    The fractional cover v3 model was compared to samples drawn from 4000 field reference sites.
    The imagery has been corrected for height displacement using a 3" digital elevation model (DEM) based on the National Aeronautics and Space Administration (NASA), Shuttle Radar Topography Mission (SRTM).

Additional information

Method DocumentationMethod Documentation
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