Seasonal cover deciles - Landsat, JRSRP algorithm Version 3.0, Australia Coverage
Two fractional cover decile products, green cover and total cover, are currently produced from the historical timeseries of seasonal fractional cover images. 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 (1988-2013) 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.
Simple
Identification info
- Date (Creation)
- 2022-03-28
- Date (Publication)
- 2022-12-07
- Date (Revision)
- 2014-07-14
- Edition
- 1.0
Publisher
Author
Department of Environment and Science, Queensland Government
41 Boggo Road, Dutton Park, QLD, 4102, Australia
Dutton Park
QLD
4102
Australia
Rights holder
Joint Remote Sensing Research Program
Chamberlain Building (35), Campbell Road, St Lucia, QLD, 4072, Australia
St Lucia
QLD
4072
Australia
- Website
- https://www.tern.org.au/
- 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.
- 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.
- Status
- On going
Point of contact
Department of Environment and Science, Queensland Government - van den Berg, Deanna ()
Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD, 4102, Australia
Ecosciences Precinct, 41 Boggo Road
Dutton Park
QLD
4102
Australia
Spatial resolution
- Spatial resolution
- 30
- Topic category
-
- Environment
Extent
- Description
- Australia
N
S
E
W
))
Temporal extent
- Time period
- 1987-12-01
- Maintenance and update frequency
- Quarterly
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Platform Vocabulary
- TERN Parameter Vocabulary
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
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
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 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<br /><br /> Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
- Other constraints
- It is not recommended that these data sets be used at scales more detailed than 1:100,000.
Resource constraints
- Classification
- Unclassified
Distribution Information
Distributor
Distributor
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd, Indooroopilly, QLD, Australia, 4068
Indooroopilly
QLD
4068
Australia
- OnLine resource
- Seasonal Total Cover Deciles
- OnLine resource
- Seasonal Green Cover Deciles
- OnLine resource
- Vegmachine Timeseries Viewer
Data quality info
- Hierarchy level
- Dataset
- Other
- 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.
Report
Result
- Statement
- 1) The USGS aims to provide image-to-image registration with an accuracy of 12m. Refer to the L8 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%.
Resource lineage
- Statement
- Summary of processing: Seasonal composite of fractional cover > baseline statistics > seasonal cover deciles. <br />Further details are provided in the Methods section.
- Hierarchy level
- Dataset
Process step
- Description
- Rankings: The seasonal fractional cover timeseries for the period 1998-2013 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.
Process step
- Description
- 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.
Process step
- Description
- Seasonal fractional cover process: Refer to the Methods section in Seasonal fractional cover - Landsat, JRSRP algorithm Version 3.0, Australia coverage
Reference System Information
- Reference system identifier
- EPSG/EPSG:3577
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
- urn:uuid/169dbb12-846f-4536-9dab-e31378d16b41
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Seasonal fractional cover - Landsat, JRSRP algorithm Version 3.0, Australia coverage
Identifier
- Codespace
- https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/
- Description
- Parent Metadata Record
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/169dbb12-846f-4536-9dab-e31378d16b41
Point-of-truth metadata URL
- Date info (Creation)
- 2022-03-28T00:00:00
- Date info (Revision)
- 2022-12-07T02:03:03
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
Overviews
Spatial extent
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S
E
W
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Associated resources
Not available