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Monthly blended fractional cover - Landsat and Sentinel-2, JRSRP algorithm, Queensland coverage

This product has been superseded and will not be processed from early 2023. Please find the updated version 3 of this product at https://portal.tern.org.au/metadata/23883.


The monthly fractional cover product shows representative values for the proportion of bare ground, green and non-green ground cover across a month. It is a spatially explicit raster product, which predicts vegetation cover at medium resolution (30 m per-pixel) for each month. This dataset consists of medoid-composited monthly fractional cover created from a combined Landsat 8 and Sentinel-2 time series.

Simple

Identification info

Date (Creation)
2017-01-31
Date (Publication)
2021-04-15
Date (Revision)
2014-07-14
Edition
1.0

Publisher

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

Author

Joint Remote Sensing Research Program
Chamberlain Building (35), Campbell Road, St Lucia, QLD, 4072, Australia
St Lucia
QLD
4072
Australia

Co-author

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

Purpose
This product captures variability in fractional cover at monthly time scales, forming a consistent time series from 2015 - present. It is useful for investigating more rapid changes than the three-month seasonal products. For example, the monthly dataset is used by the Queensland pastoral industry for improved monitoring of drought conditions. The green and non-green fractions may include a mix of woody and non-woody vegetation. For applications investigating long-term dynamics, the three-month seasonal product may be more appropriate. Note: A new fractional cover algorithm will be implemented during 2021, based on additional field validation and a new machine learning approach.
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
This dataset was produced by the Joint Remote Sensing Research Program using data sourced from US Geological Survey and the European Space Agency.
Status
Superseded

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
Topic category
  • Environment

Extent

Description
Queensland, Australia
N
S
E
W


Temporal extent

Time period
2015-12-01
Title
Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500; doi:10.3390/rs5126481
Website
Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500; doi:10.3390/rs5126481

Related documentation

Title
Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118.
Website
Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118.

Related documentation

Title
Flood, N., Danaher, T., Gill, T. and Gillingham, S. (2013) An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia. Remote Sens. 2013
Website
Flood, N., Danaher, T., Gill, T. and Gillingham, S. (2013) An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia. Remote Sens. 2013

Related documentation

Title
Beutel Terrence S. et al (2019) VegMachine.net. online land cover analysis for the Australian rangelands. The Rangeland Journal 41
Website
Beutel Terrence S. et al (2019) VegMachine.net. online land cover analysis for the Australian rangelands. The Rangeland Journal 41

Related documentation

Title
Sentinel 2 Level 1C Processing
Website
Sentinel 2 Level 1C Processing

Related documentation

Title
Flood, N. (2017) Comparing Sentinel-2A and Landsat 7 and 8 Using Surface Reflectance over Australia. Remote Sens. 9, no. 7
Website
Flood, N. (2017) Comparing Sentinel-2A and Landsat 7 and 8 Using Surface Reflectance over Australia. Remote Sens. 9, no. 7

Related documentation

Title
Sentinel 2 Data Product Quality Reports
Website
Sentinel 2 Data Product Quality Reports

Related documentation

Title
Fractional vegetation cover from Sentinel-2
Website
Fractional vegetation cover from Sentinel-2

Related documentation

GCMD Science Keywords
  • LAND USE/LAND COVER
  • VEGETATION COVER
  • SOILS
ANZSRC Fields of Research
  • ENVIRONMENTAL SCIENCE AND MANAGEMENT
  • Environmental Monitoring
  • ECOLOGICAL APPLICATIONS
TERN Platform Vocabulary
  • LANDSAT-8
  • SENTINEL-2A
  • SENTINEL-2B
TERN Instrument Vocabulary
  • OLI
  • MSI
  • MSI
TERN Parameter Vocabulary
  • bare soil fraction
  • Percent
  • photosynthetic vegetation fraction
  • Percent
  • non-photosynthetic vegetation fraction
  • Percent
  • vegetation area fraction
  • Percent
GCMD Horizontal Resolution Ranges
  • 30 meters - < 100 meters
GCMD Temporal Resolution Ranges
  • Weekly - < Monthly

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
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
4068
Australia
+61 7 3365 9097
OnLine resource
/attachment/2d52273c-115a-41ca-88f3-d70fb7b8e831/band_descriptions_and_filenaming_convention-v01.txt

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd, Indooroopilly, QLD, Australia, 4068
Indooroopilly
QLD
4068
Australia
OnLine resource
Web Map Service

aus:monthly_fractional_cover

OnLine resource
Vegmachine Timeseries Viewer

OnLine resource
Monthly fractional cover for Queensland

Data quality info

Hierarchy level
Dataset
Other
1) All the data described here has been generated from the analysis of Level 1A Landsat OLI and Sentinel Level 1C (see Publications: Flood (2017)). 2) The seasonal fractional cover model output was compared to 1500 field sites.

Report

Result

Statement
1) The Sentinel-2 Data Quality Report from ESA indicates that positional accuracy is on the order of 12 m. The USGS aims to provide Landsat image-to-image registration with an accuracy of 12m. 2) The fractional cover model (based on Landsat) achieved an overall model Root Mean Squared Error (RMSE) of 11.6% against field reference sites.

Resource lineage

Statement
Summary of processing: Landsat 8/Sentinel-2 surface reflectance data > multiple single-date fractional cover datasets > monthly composite of fractional cover <br />Further details are provided in the Methods section.
Hierarchy level
Dataset

Process step

Description
Image preprocessing: Landsat 8 imagery rated as less than 80% cloud cover was downloaded from the USGS EarthExplorer website as level L1T imagery. Sentinel-2A data was downloaded from the ESA as Level 1C (version 02.04 system). Masks for cloud, cloud shadow, topographic shadow and water were applied as described in Flood (2017).

Process step

Description
Fractional Cover Model: The bare soil, green vegetation and non-green vegetation endmembers for the blended Landsat 8 and Sentinel 2 are calculated using models developed for seasonal fractional cover across Australia. Values are reported as percentages of cover plus 100. The fractions stored in the 4 image layers are: Band1 - bare (bare ground, rock, disturbed), Band2 - green vegetation, Band3 - non green vegetation (litter, dead leaf and branches), Band4 - Model fitting error.

Process step

Description
Data compositing: The method of compositing used selection of representative pixels through the determination of the medoid (multi-dimensional equivalent of the median) of at least three observations of fractional cover imagery. The medoid is the point which minimises the total distance between the selected point and all other points. Thus the selected point is “in the middle” of the set of points. It is robust against extreme values, inherently avoiding the selection of outliers, such as occurs when cloud or cloud shadow goes undetected. Unfortunately, due to the high level of cloud cover in some areas, often three cloud free pixels are not available, resulting in data gaps in the seasonal fractional cover image. For further details on this method see Flood (2013).

Reference System Information

Reference system identifier
EPSG/EPSG:4326

Reference system type
Geodetic Geographic 2D

Metadata

Metadata identifier
urn:uuid/2d52273c-115a-41ca-88f3-d70fb7b8e831

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/2d52273c-115a-41ca-88f3-d70fb7b8e831

Point-of-truth metadata URL

Date info (Creation)
2017-01-31T00:00:00
Date info (Revision)
2022-12-12T22:04:52

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

Spatial extent

N
S
E
W


Keywords

ANZSRC Fields of Research
ECOLOGICAL APPLICATIONS ENVIRONMENTAL SCIENCE AND MANAGEMENT Environmental Monitoring
GCMD Science Keywords
LAND USE/LAND COVER SOILS VEGETATION COVER

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Associated resources

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