Data

Sub-hourly Land Surface Temperature - Himawari/AHI, Split-window Algorithm with Solar Zenith Angle-based Calibration, Australia Coverage, 2015-2023

Terrestrial Ecosystem Research Network
Yu, Yi ; Renzullo, Luigi ; McVicar, Tim ; Van Niel, Tom ; Cai, Dejun ; Tian, Siyuan ; Ma, Yichuan
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=info:doi10.25901/1hww-x877&rft.title=Sub-hourly Land Surface Temperature - Himawari/AHI, Split-window Algorithm with Solar Zenith Angle-based Calibration, Australia Coverage, 2015-2023&rft.identifier=10.25901/1hww-x877&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=This geostationary land surface temperature (LST) collection was retrieved using Himawari/AHI observations and calibrated against MODerate-resolution Imaging Spectroradiometer (MODIS) best-quality retrievals for Australia. It was developed under an academic collaboration between the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). It has a spatial resolution of 2 km and temporal frequency of 10 min, and has been periodically updated since its inception in July 2015. This record has a temporal length of 8.5 years (i.e., Jul 2015 - Dec 2023) and the subsequent updates will be published annually.This LST collection was developed using a split-window algorithm, with its daytime component operationally adjusted using an SZA-based Calibration (SZAC) method. SZAC describes the spatial heterogeneity and magnitude of diurnal LST discrepancies from different products. The SZAC coefficient was spatiotemporally optimised against highest-quality assured (error Progress Code: completedMaintenance and Update Frequency: annually&rft.creator=Yu, Yi &rft.creator=Renzullo, Luigi &rft.creator=McVicar, Tim &rft.creator=Van Niel, Tom &rft.creator=Cai, Dejun &rft.creator=Tian, Siyuan &rft.creator=Ma, Yichuan &rft.date=2024&rft.edition=1.0&rft.coverage=northlimit=-10; 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=climatologyMeteorologyAtmosphere&rft_subject=environment&rft_subject=THERMAL INFRARED&rft_subject=EARTH SCIENCE&rft_subject=SPECTRAL/ENGINEERING&rft_subject=INFRARED WAVELENGTHS&rft_subject=LAND SURFACE TEMPERATURE&rft_subject=LAND SURFACE&rft_subject=SURFACE THERMAL PROPERTIES&rft_subject=LONGWAVE RADIATION&rft_subject=Photogrammetry and Remote Sensing&rft_subject=ENGINEERING&rft_subject=GEOMATIC ENGINEERING&rft_subject=Atmospheric Radiation&rft_subject=EARTH SCIENCES&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Himawari-8&rft_subject=Himawari-9&rft_subject=Terra&rft_subject=Aqua&rft_subject=MODIS&rft_subject=surface temperature (kelvin)&rft_subject=kelvin&rft_subject=1 km - < 10 km or approximately .01 degree - < .09 degree&rft_subject=1 minute - < 1 hour&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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unclassified

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 geostationary land surface temperature (LST) collection was retrieved using Himawari/AHI observations and calibrated against MODerate-resolution Imaging Spectroradiometer (MODIS) best-quality retrievals for Australia. It was developed under an academic collaboration between the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). It has a spatial resolution of 2 km and temporal frequency of 10 min, and has been periodically updated since its inception in July 2015. This record has a temporal length of 8.5 years (i.e., Jul 2015 - Dec 2023) and the subsequent updates will be published annually.

Lineage

This LST collection was developed using a split-window algorithm, with its daytime component operationally adjusted using an SZA-based Calibration (SZAC) method. SZAC describes the spatial heterogeneity and magnitude of diurnal LST discrepancies from different products. The SZAC coefficient was spatiotemporally optimised against highest-quality assured (error <1  K) pixels from the MODIS daytime LST between 01/Jan/2016 and 31/Dec/2020.

See the method documentation for details.

Progress Code: completed
Maintenance and Update Frequency: annually

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 work was undertaken under an academic collaboration between the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). We thank the continued support of the TERN Landscapes Observatory (https://www.tern.org.au/tern-observatory/tern-landscapes/), a sensing platform of the Terrestrial Ecosystem Research Network (TERN; https://www.tern.org.au/), which is supported and enabled by the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS). We acknowledge the resources and services provided by the National Computational Infrastructure (NCI), which is also supported by the Australian Government through NCRIS. This work was supported by resources and expertise provided by CSIRO IMT Scientific Computing.

Purpose

The Himawari-8/9 satellites offer a unique opportunity to monitor sub-daily thermal dynamics over Asia and Oceania, and several operational LST retrieval algorithms have been developed for this purpose. However, studies have reported inconsistency between LST data obtained from geostationary and polar-orbiting platforms, particularly for daytime LST, which usually shows directional artifacts and can be strongly impacted by viewing and illumination geometries and shadowing effects. To overcome this challenge, we developed this collection, which utilised Solar Zenith Angle (SZA) as an ideal physical variable to quantify systematic differences between platforms. This LST collection demonstrated better consistency with LST obtained from both polar-orbiting platforms and ground-based measurements.

Data Quality Information

Data Quality Assessment Scope
local : dataset
This LST collection was evaluated against Terra-, Aqua-MODIS and VIIRS LST, as well as in-situ LST from the <a href="https://www.ozflux.org.au/">OzFlux network</a>.

Data Quality Assessment Result
local : Quality Result
The median daytime bias (ubRMSE) of this collection against Terra-, Aqua-MODIS and VIIRS LST was 1.52 (2.75) K, 0.98 (2.44) K and -0.63 (2.94) K, respectively. In the evaluation against in-situ LST, the overall mean values of bias (ubRMSE) during daytime and nighttime were 1.41 (3.24) K and -0.06 (2.77) K based on 171,289 and 209,304 hourly samples, respectively, from 20 OzFlux sites across Australia between 01/Jan/2016 and 31/Dec/2020.

Created: 2023-07-10

Issued: 2024-05-14

Modified: 2024-05-14

Data time period: 2015-07-07 to 2023-12-31

This dataset is part of a larger collection

154,-10 154,-45 112,-45 112,-10 154,-10

133,-27.5

Other Information
Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/cb9cc60c-3e09-40d0-a32c-39f13723b00a

Yu, Y., Renzullo, L. J., McVicar, T. R., Van Niel, T. G., Cai, D., Tian, S. and Ma, Y. (2023). Solar zenith angle-based calibration of Himawari-8 land surface temperature based on MODIS spatiotemporal characteristics. ESS Open Archive.

doi : https://doi.org/10.22541/essoar.170110655.56133673/v1

Solar zenith angle-based calibration of Himawari-8 land surface temperature for correcting diurnal retrieval error characteristics

doi : https://doi.org/10.1016/j.rse.2024.114176