Data

Seasonal dynamic reference cover method - Landsat, JRSRP, Queensland and Northern Territory Coverage

Name: Seasonal dynamic reference cover method - Landsat, JRSRP, Queensland and Northern Territory Coverage
Published: 2021

Terrestrial Ecosystem Research Network

Joint Remote Sensing Research Program ; Gary, Bastin

Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]

ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/90b588e0-1220-4cee-8468-34879e44c1bd&rft.title=Seasonal dynamic reference cover method - Landsat, JRSRP, Queensland and Northern Territory Coverage&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/90b588e0-1220-4cee-8468-34879e44c1bd&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=This product has been superseded and will not be processed from early 2023. Please find the updated version 3 of this product here Seasonal dynamic reference cover method - Landsat, JRSRP algorithm version 3.0, Queensland Coverage. The seasonal dynamic reference cover method images are 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.Landsat surface reflectance data > multiple single-date fractional cover datasets > seasonal composite of fractional cover > seasonal dynamic reference cover imageData CreationExcluded 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.Progress Code: superseded&rft.creator=Joint Remote Sensing Research Program &rft.creator=Gary, Bastin &rft.date=2021&rft.edition=2.0&rft.relation=https://doi.org/10.1016/j.rse.2012.02.021&rft.relation=https://doi.org/10.3390/rs5126481&rft.relation=https://www.publications.qld.gov.au/dataset/ad30c88c-185d-4d9a-9971-69968f958a70/resource/350aeffd-ff8f-4876-a12f-7eb8d4e6f991/download/coverundertreesreportrp64gfinal.pdf&rft.coverage=Queensland and Northern Territory&rft.coverage=northlimit=-10.5; southlimit=-29.5; westlimit=138; eastLimit=154; projection=EPSG:4326&rft.coverage=northlimit=-10.5; southlimit=-26; westlimit=129; eastLimit=138; projection=EPSG:4326&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=&rft_rights=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.&rft_rights=It is not recommended that these data sets be used at scales more detailed than 1:100,000.&rft_rights=Copyright 2010-2021. JRSRP. Rights owned by the Joint Remote Sensing Research Project (JRSRP).&rft_rights=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.&rft_subject=imageryBaseMapsEarthCover&rft_subject=environment&rft_subject=VEGETATION COVER&rft_subject=LAND USE/LAND COVER&rft_subject=EARTH SCIENCE&rft_subject=LAND SURFACE&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Environmental Monitoring&rft_subject=LANDSAT-5&rft_subject=LANDSAT-7&rft_subject=LANDSAT-8&rft_subject=vegetation area fraction (Unitless)&rft_subject=Unitless&rft_subject=30 meters - < 100 meters&rft_subject=Monthly - < Annual&rft.type=dataset&rft.language=English Access the data

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Licence & Rights:

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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.

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

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.

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Contact Information

Street Address:
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
QLD 4068
Australia
Ph: +61 7 3365 9097

esupport@tern.org.au

Brief description

This product has been superseded and will not be processed from early 2023. Please find the updated version 3 of this product here Seasonal dynamic reference cover method - Landsat, JRSRP algorithm version 3.0, Queensland Coverage. The seasonal dynamic reference cover method images are 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.

Notes

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

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.

Progress Code: superseded

Notes

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.

Data Quality Information

Data Quality Assessment Scope
local : dataset
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. <br> The fractional cover model was compared to samples drawn from 1500 field reference sites.<br> 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). <br>

Data Quality Assessment Result
local : Quality Result
The USGS aims to provide image-to-image registration with an accuracy of 12m. <a href="https://www.usgs.gov/core-science-systems/nli/landsat/landsat-8-data-users-handbook">Refer to the L8 Data Users Handbook</a> for more detail. <br> The fractional cover model achieved an overall model Root Mean Squared Error (RMSE) of 11.6% against field reference sites.

Created: 2017-10-10

Issued: 2021-11-11

Modified: 2024-09-23

Data time period: 1986-06-01

This dataset is part of a larger collection

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text: Queensland and Northern Territory

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Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/90b588e0-1220-4cee-8468-34879e44c1bd External Link

Identifiers

URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/90b588e0-1220-4cee-8468-34879e44c1bd
global : 90b588e0-1220-4cee-8468-34879e44c1bd

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