Data

Australian land surface phenology dataset at 500m resolution

Terrestrial Ecosystem Research Network
Xie, Qiaoyun ; Huete, Alfredo
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/2bb0c81a-41a9-434c-b87a-db0301cb52fb&rft.title=Australian land surface phenology dataset at 500m resolution&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/2bb0c81a-41a9-434c-b87a-db0301cb52fb&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=The Australian Phenology Product is a continental data set that allows the quantitative analysis of Australia’s phenology derived from MODIS Enhanced Vegetation Index (EVI) data using an algorithm designed to accommodate Australian conditions, described in Xie et al. 2023. The product can be used to characterize phenological cycles of greening and browning and quantify the cycles’ inter and intra annual variability from 2003 to 2018 across Australia. Phenological cycles are defined as a period of EVI-measured greening and browning that may occur at any time of the year, extend across the end of a year, skip a year (not occur for one or multiple years) or occur more than once a year. Multiple phenological cycles within a year can occur in the form of double cropping in agricultural areas or be caused by a-seasonal rain events in water limited environments. Based on per-pixel greenness trajectories measured by MODIS EVI, phenological cycle curves were modelled and their key properties in the form of phenological curve metrics were derived including: the first and second minimum point, peak, start and end of cycle; length of cycle, and; the amplitude of the cycle. Integrated EVI under the curve between the start and end of the cycle time of each cycle is calculated as a proxy of productivity.Python programming was used to download and process data. Phenology extraction algorithm was designed by Qiaoyun Xie and described in Xie et al. 2022.Progress Code: completedMaintenance and Update Frequency: unknown&rft.creator=Xie, Qiaoyun &rft.creator=Huete, Alfredo &rft.date=2024&rft.edition=1.0&rft.relation=https://www.sciencedirect.com/science/article/pii/S1470160X23001425&rft.relation=https://www.sciencedirect.com/science/article/pii/S0924271622000211&rft.coverage=Australia&rft.coverage=northlimit=-9.5; southlimit=-45; westlimit=112; eastLimit=154; projection=EPSG:4326&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&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. <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&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=environment&rft_subject=imageryBaseMapsEarthCover&rft_subject=PLANT PHENOLOGY&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=VEGETATION&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Terrestrial Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Aqua&rft_subject=MODIS&rft_subject=plant phenology (Day)&rft_subject=Day&rft_subject=500 meters - < 1 km&rft_subject=Monthly - < Annual&rft_subject=Remote sensing&rft_subject=Vegetation dynamics&rft_subject=Climate change&rft.type=dataset&rft.language=English Access the data

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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.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

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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

The Australian Phenology Product is a continental data set that allows the quantitative analysis of Australia’s phenology derived from MODIS Enhanced Vegetation Index (EVI) data using an algorithm designed to accommodate Australian conditions, described in Xie et al. 2023. The product can be used to characterize phenological cycles of greening and browning and quantify the cycles’ inter and intra annual variability from 2003 to 2018 across Australia. Phenological cycles are defined as a period of EVI-measured greening and browning that may occur at any time of the year, extend across the end of a year, skip a year (not occur for one or multiple years) or occur more than once a year. Multiple phenological cycles within a year can occur in the form of double cropping in agricultural areas or be caused by a-seasonal rain events in water limited environments. Based on per-pixel greenness trajectories measured by MODIS EVI, phenological cycle curves were modelled and their key properties in the form of phenological curve metrics were derived including: the first and second minimum point, peak, start and end of cycle; length of cycle, and; the amplitude of the cycle. Integrated EVI under the curve between the start and end of the cycle time of each cycle is calculated as a proxy of productivity.

Lineage

Python programming was used to download and process data. Phenology extraction algorithm was designed by Qiaoyun Xie and described in Xie et al. 2022.

Progress Code: completed
Maintenance and Update Frequency: unknown

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.
The development of the Australian Phenology Product was funded by the AusCover Facility of the Australian Terrestrial Ecosystem Research Network (TERN) and supported by ARC-DP1115479 grant entitled "Integrating remote sensing, landscape flux measurements, and phenology to understand the impacts of climate change on Australian landscapes" (Huete, CI).
Purpose
Land Surface Phenology (LSP) provides valuable information to scientists and practitioners interested in vegetation and ecosystem response to climate variability such as drought and land use change. Specific applications of LSP information include for example the quantification of crop yields, wildfire fuel accumulation, ecosystem resilience and health and land surface modelling.
Data Quality Information

Data Quality Assessment Scope
local : dataset
Please refer to the method papers for details.

Data Quality Assessment Result
local : Quality Result
Validation of seasonal/phenologic parameters is accomplished across a wide range of Australian landscapes through comparisons with finer resolution (half-hourly/ daily) OzFlux eddy covariance tower measures of gross primary productivity (GPP). Tower measurements derived photosynthetic activity (GPP) primarily relate to onset, duration, magnitude, and growing season length. At regional levels, we plan validation activities focused on the use of phenocam networks that capture the seasonal dynamics and species-level phenology of overstory and understory plant functional types. This is being prototyped in NSW and thenceforth to be expanded to TERN supersites, and transects.

Created: 2019-11-01

Issued: 2024-09-06

Modified: 2024-09-25

Data time period: 2003-01-01 to 2018-12-31

This dataset is part of a larger collection

Click to explore relationships graph

154,-9.5 154,-45 112,-45 112,-9.5 154,-9.5

133,-27.25

text: Australia

Other Information
Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/2bb0c81a-41a9-434c-b87a-db0301cb52fb

Land surface phenology indicators retrieved across diverse ecosystems using a modified threshold algorithm

uri : https://www.sciencedirect.com/science/article/pii/S1470160X23001425

Land surface phenology retrievals for arid and semi-arid ecosystems

uri : https://www.sciencedirect.com/science/article/pii/S0924271622000211