TERN Data Discovery Portal

Description

This product has been superseded and will not be processed from early 2023.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/24071. Long term temporal statistic products derived from the seasonal ground cover product for each fraction. Statistics include: 5th percentile minimum, mean, median, 95th percentile maximum, standard deviation and observation count. There is one raster image for each season and each bare and green fraction for the full time series of imagery available. Min/max (5th and 95th percentile) products are also made for each fraction using all seasonal ground cover images available.

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 by the Joint Remote Sensing Research Program (https://www.jrsrp.org.au/) using data sourced from US Geological Survey.

Purpose
These products display the variation of the seasonal ground cover fractions over long term temporal periods (e.g. 1990-2016).

Supplemental Information
Processing stage:
djl - bare min/max all seasons
djm - green min/max all seasons
djn - dry min/max all seasons

djo - summer stats
djp- autumn stats
djq- winter stats
djr- spring stats

Lineage

Landsat surface reflectance data > multiple single-date fractional cover datasets > seasonal composite of fractional cover > seasonal persistent green > seasonal composite of ground cover > seasonal ground cover statistics

Data Creation
Methods: The long-term statistical summary products are derived from the seasonal ground cover product https://portal.tern.org.au/seasonal-ground-cover-australia-coverage/22022, also produced by the QLD DES remote sensing centre. The statistical products are derived from the full time series of imagery available for each season, defined by standard calendar seasons. For each pixel, the following statistics are calculated: 5th percentile, mean, median, 95th percentile, standard deviation and count.
Seasonal Statistics - 6 Band images: band 1 – 5th percentile minimum - robust minimum value for that pixel over the length of the full time series for that season only (percentage + 100)
band 2 - mean value for pixel over full time series for that season only (percentage + 100)
band 3 – median value for pixel over full time series for that season only (percentage + 100)
band 4 – 95th percentile maximum - robust maximum value for that pixel over the length of the full time series for that season only (percentage + 100)
band 5 – Standard deviation - the temporal standard deviation of the full time-series for that season only
band 6 – Count - the number of observations statistics for that pixel are based on for that season only.
The first 4 bands are recorded with a scaling factor of 100 for data management purposes (to ensure there are no negative values in the image). To interpret the values correctly it is necessary to subtract 100 from the values in these bands.

Min/Max Statistics - 2 Band images: A two band image is produced for the Min/Max for full time series:
band 1 – 5th percentile minimum - robust minimum value for that pixel over the length of the full time series (percentage + 100)
band 2 - 95th percentile maximum - robust maximum value for that pixel over the length of the full time series (percentage + 100)

Temporal coverage

From 1/1/1990

Dates

Creation date

9/18/2015

Publication date

9/22/2021

Revision date

9/23/2024

Citation information

How to cite this collection:

Joint Remote Sensing Research Program (2021): Seasonal ground cover statistics - Landsat, JRSRP algorithm, QLD coverage. Version 1.0. Terrestrial Ecosystem Research Network. (Dataset). https://portal.tern.org.au/metadata/TERN/86c19d64-7cfe-4557-a874-479d024ac1b5

Access data

These data can be accessed from following links:

Access metadata

Point-of-truth metadata URL

Rights and Licensing

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

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.

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

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

Keywords

Parameters

Platforms

Instruments

GCMD Science

ANZSRC - FOR

Horizontal Resolution

30 meters - < 100 meters

Temporal Resolution

Monthly - < Annual

Topic Categories

People and Organisation

Authors

Joint Remote Sensing Research Program

Point of Contact

Publisher

Terrestrial Ecosystem Research Network

Distributor's Organisation

Terrestrial Ecosystem Research Network

Publications

Publications

Data Quality

Data 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

Contacts

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
QLD 4068
Australia

Spatial coverage

Spatial description

Queensland