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METADATA

Linear seasonal persistent green trend - Landsat, QLD DES algorithm, QLD Coverage

Status of Data: completed
Update Frequency: periodic
Ver: 1.0
Security Classification: unclassified
Viewed: 0
Accessed: 0

Description

The linear seasonal persistent green trend is derived from analysis of the seasonal persistent green product over time. The current version is based on the 1987-2014 period.
Seasonal persistent green cover is derived from seasonal fractional cover using a weighted smooth spline fitting routine. This weights a smooth line to the minimum values of the seasonal green cover. This smooth minimum is designed to represent the slower changing green component, ideally consisting of perennial vegetation including over-storey, mid-storey and persistent ground cover. The seasonal persistent green is then summarized using simple linear regression, and the slope of the fitted line is captured in this product. The original units are percentage points per year. Values are later truncated and scaled.

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 in partnership with the Joint Remote Sensing Research Program using Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI satellite data sourced from the US Geological Survey.

Purpose
The trends in persistent green are considered to be indicators of change in woody vegetation cover. This linear seasonal persistent green trend product largely shows the effect of climate and rainfall on woody vegetation. To examine trends adjusted for rainfall, use the climate adjusted linear seasonal persistent green trend product.

Supplemental Information
Filenames for the seasonal fractional cover product conforms to the AusCover standard naming convention. The standard form of this convention is:
___
For more information, see the file naming convention file provided with this dataset.

Lineage
Landsat surface reflectance data > multiple single-date fractional cover datasets > seasonal composite of fractional cover > seasonal persistent green product > linear seasonal persistent green trend

Data Creation
Persistent Green Fractional Cover: Smoothing splines are fitted in multiple iterations per pixel through the full time series of seasonal fractional cover (green fraction only). At each iteration, zero weight is given to observations that lie above the spline, and observation below the line are weighted proportion to the size of the residual. Observations greater than 3 standard deviations from the residual mean are given zero weight, and those between 2 and 3 standard deviations are given less weight, this avoids contamination by outliers. Persistent green fractional cover for each season is estimated from the final spline iteration at each seasonal time step. Values reported are as for fractional cover, ie. percentages of cover plus 100. Areas with frequent seasonal fractional cover data gaps due to cloud may produce unreliable estimates of persistent green cover.
Linear Seasonal Persistent Green Trend: The seasonal persistent green product is summarised using simple linear regression, and the slope of the fitted line is captured in this product. The original units are percentage points per year. Values are later truncated and scaled.

Temporal coverage

From 12/1/1989 to 12/31/2014

Dates

Date modified

9/22/2021

Citation information

How to cite this collection:

Librarian, D. (2021): Linear seasonal persistent green trend - Landsat, QLD DES algorithm, QLD Coverage. Version 1.0. Terrestrial Ecosystem Research Network. (Dataset). https://portal.tern.org.au/metadata/TERN/d48f5633-ca38-4e1f-9352-d7c191ceade9

Access data

This data can be accessed from the following websites
  • /attachment/d48f5633-ca38-4e1f-9352-d7c191ceade9/linear_seasonal_persistent_green_trend_landsat_file_J81hF9e.txt
  • Linear seasonal persistent green trend by HTTP

Access metadata

Point-of-truth metadata URL

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.
Copyright 2010-2021. 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.

Spatial coverage

Keywords

Parameters
  • persistent green vegetation fraction (Percent)
Platforms
  • LANDSAT-5
  • LANDSAT-7
  • LANDSAT-8
Instruments
  • TM
  • ETM+
  • OLI
Data Resolution
  • 30 meters - < 100 meters
  • Annual
GCMD Science
  • VEGETATION COVER
  • LAND USE/LAND COVER CLASSIFICATION
ANZSRC - FOR
  • Environmental management
  • Ecological applications
Topic Categories
  • Imagery Base Maps Earth Cover
  • Environment

People and Organisation

AuthorsAuthors
  • Librarian, Data
Point of ContactPoint of Contact
  • Terrestrial Ecosystem Research Network
  • Vandenberg, Deanna
PublisherPublisher
  • Terrestrial Ecosystem Research Network
Distributor's OrganisationDistributor's Organisation
  • Terrestrial Ecosystem Research Network

Publications

PublicationsPublications
  • Armston, J. D., et al. (2002). Geometric correction of Landsat MSS, TM, and ETM+ imagery for mapping of woody vegetation cover and change detection in Queensland. Proceedings of the 11th Australasian Remote Sensing and Photogrammetry Conference.
  • Danaher, T., Scarth, P., Armston, J., Collet, L., Kitchen, J., and Gillingham, S. (2010). Ecosystem Function in Savannas: Measurement and Modelling at Landscape to Global Scales.
  • Danaher, T. and Collett, L (2006). Development, Optimisation and Multi-temporal Application of a Simple Landsat Based Water Index. Proceedings of the 13th Australasian Remote Sensing and Photogrammetry Conference, Canberra, Australia, November 2006.
  • de Vries, C., Danaher, T., Denham, R., Scarth, P. & Phinn, S. (2007). An operational radiometric calibration procedure for the Landsat sensors based on pseudo-invariant target sites, Remote Sensing of Environment, vol. 107, no. 3, pp. 414-429.
  • Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500
  • 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, 5(1), 83-109. doi:10.3390/rs5010083
  • Muir, J. et al (2011), Field measurement of fractional ground cover: supporting ground cover monitoring for Australia. ABARES. Canberra
  • Robertson, P (1989). Spatial Transformations for Rapid Scan-Line Surface Shadowing. IEEE Computer Graphics and Applications.
  • Scarth, P., R&ouml;der, A., Schmidt, M., 2010b. Tracking grazing pressure and climate interaction - the role of Landsat fractional cover in time series analysis. In: Proceedings of the 15th Australasian Remote Sensing and Photogrammetry Conference (ARSPC)
  • Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118. doi:10.1016/j.rse.2011.10.028

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 model was compared to samples drawn from 1500 field reference sites.
  • Data Quality Assessment Result:
    The USGS aims to provide image-to-image registration with an accuracy of 12m. Refer to the L8 Data Users Handbook for more detail.
    The fractional cover model achieved an overall model Root Mean Squared Error (RMSE) of 11.6% against field reference sites.

Related datasets

with matching subjects

Access data
  • /attachment/d48f5633-ca38-4e1f-9352-d7c191ceade9/linear_seasonal_persistent_green_trend_landsat_file_J81hF9e.txt
  • Linear seasonal persistent green trend by HTTP
Contacts
  • Terrestrial Ecosystem Research Network
  • Building 1019, 80 Meiers Rd
  • QLD 4068
  • Australia

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The University of Queensland
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80 Meiers Road
Indooroopilly QLD 4068 Australia

P (07) 3365 9097
E esupport@tern.org.au

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TERN is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy, NCRIS.

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Version:5.1.1