Data

GA Landsat 8 OLI/TIRS Analysis Ready Data Collection 3

Geoscience Australia
Fuqin, Li. ; Jupp, D.L.B. ; Sixsmith, J. ; Wang, L. ; Dorj, P. ; Vincent, A. ; Alam, I. ; Hooke, J. ; Oliver, S. ; Thankappan, M.
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=https://pid.geoscience.gov.au/dataset/ga/132317&rft.title=GA Landsat 8 OLI/TIRS Analysis Ready Data Collection 3&rft.identifier=https://pid.geoscience.gov.au/dataset/ga/132317&rft.description=BACKGROUND The United States Geological Survey's (USGS) Landsat satellite program has been capturing images of the Australian continent for more than 30 years. This data is highly useful for land and coastal mapping studies. In particular, the light reflected from the Earth’s surface (surface reflectance) is important for monitoring environmental resources – such as agricultural production and mining activities – over time. We need to make accurate comparisons of imagery acquired at different times, seasons and geographic locations. However, inconsistencies can arise due to variations in atmospheric conditions, sun position, sensor view angle, surface slope and surface aspect. These need to be reduced or removed to ensure the data is consistent and can be compared over time.   WHAT THIS PRODUCT OFFERS GA Landsat 8 OLI/TIRS Analysis Ready Data Collection 3 takes Landsat 8 imagery captured over the Australian continent and corrects for inconsistencies across land and coastal fringes. The result is accurate and standardised surface reflectance data, which is instrumental in identifying and quantifying environmental change. The imagery is captured using the Operational Land Imager (OLI) and Thermal Infra-Red Scanner (TIRS) sensors aboard Landsat 8. This product is a single, cohesive Analysis Ready Data (ARD) package, which allows you to analyse surface reflectance data as is, without the need to apply additional corrections. It contains three sub-products that provide corrections or attribution information:      1) GA Landsat 8 OLI/TIRS NBAR Collection 3      2) GA Landsat 8 OLI/TIRS NBART Collection 3      3) GA Landsat 8 OLI/TIRS OA Collection 3 The resolution is a 30 m grid based on the USGS Landsat Collection 1 archive.Maintenance and Update Frequency: asNeededStatement: This product is derived from the USGS Landsat Collection 1 archive. The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A1 Version 6 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameters dataset was provided by the National Aeronautics and Space Administration (NASA). It was produced daily using 16 days of Terra and Aqua MODIS data at 500 m resolution. The ozone data was provided by Environment Canada. The Aerosol Optical Thickness data was provided by the Commonwealth Scientific and Industrial Research Organisation (CSIRO). The Precipitable Water for Entire Atmosphere data was provided by the National Oceanic and Atmospheric Administration (NOAA) / Earth System Research Laboratory (ESRL) / Physical Sciences Division (PSD). The baseline Digital Surface Model (DSM) data produced from the Shuttle Radar Topography Mission (SRTM) was provided by the National Geospatial-Intelligence Agency (NGA). Level 1 Collection 1 data was provided by the United States Geological Survey (USGS)'s Earth Resources Observation and Science (EROS) Center.&rft.creator=Fuqin, Li. &rft.creator=Jupp, D.L.B. &rft.creator=Sixsmith, J. &rft.creator=Wang, L. &rft.creator=Dorj, P. &rft.creator=Vincent, A. &rft.creator=Alam, I. &rft.creator=Hooke, J. &rft.creator=Oliver, S. &rft.creator=Thankappan, M. &rft.date=2019&rft.coverage=westlimit=112; southlimit=-44; eastlimit=154; northlimit=-9; projection=WGS 84 / Pseudo-Mercator (EPSG:3857)&rft.coverage=westlimit=112; southlimit=-44; eastlimit=154; northlimit=-9; projection=WGS 84 / Pseudo-Mercator (EPSG:3857)&rft_rights=&rft_rights=Creative Commons Attribution 4.0 International Licence&rft_rights=CC-BY&rft_rights=4.0&rft_rights=http://creativecommons.org/licenses/&rft_rights=Australian Government Security ClassificationSystem&rft_rights=https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_rights=WWW:LINK-1.0-http--link&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_subject=geoscientificInformation&rft_subject=EARTH SCIENCES&rft_subject=DEA&rft_subject=analysis ready data&rft_subject=surface reflection&rft_subject=observation attributes&rft_subject=satellite imagery&rft_subject=Landsat&rft_subject=Earth observation&rft_subject=Published_External&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

Creative Commons Attribution 4.0 International Licence

CC-BY

4.0

http://creativecommons.org/licenses/

Australian Government Security ClassificationSystem

https://www.protectivesecurity.gov.au/Pages/default.aspx

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Brief description

BACKGROUND

The United States Geological Survey's (USGS) Landsat satellite program has been capturing images of the Australian continent for more than 30 years. This data is highly useful for land and coastal mapping studies.

In particular, the light reflected from the Earth’s surface (surface reflectance) is important for monitoring environmental resources – such as agricultural production and mining activities – over time.

We need to make accurate comparisons of imagery acquired at different times, seasons and geographic locations. However, inconsistencies can arise due to variations in atmospheric conditions, sun position, sensor view angle, surface slope and surface aspect. These need to be reduced or removed to ensure the data is consistent and can be compared over time.

 

WHAT THIS PRODUCT OFFERS

GA Landsat 8 OLI/TIRS Analysis Ready Data Collection 3 takes Landsat 8 imagery captured over the Australian continent and corrects for inconsistencies across land and coastal fringes. The result is accurate and standardised surface reflectance data, which is instrumental in identifying and quantifying environmental change.

The imagery is captured using the Operational Land Imager (OLI) and Thermal Infra-Red Scanner (TIRS) sensors aboard Landsat 8.

This product is a single, cohesive Analysis Ready Data (ARD) package, which allows you to analyse surface reflectance data as is, without the need to apply additional corrections.

It contains three sub-products that provide corrections or attribution information:

     1) GA Landsat 8 OLI/TIRS NBAR Collection 3

     2) GA Landsat 8 OLI/TIRS NBART Collection 3

     3) GA Landsat 8 OLI/TIRS OA Collection 3

The resolution is a 30 m grid based on the USGS Landsat Collection 1 archive.

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Maintenance and Update Frequency: asNeeded
Statement: This product is derived from the USGS Landsat Collection 1 archive. The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A1 Version 6 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameters dataset was provided by the National Aeronautics and Space Administration (NASA). It was produced daily using 16 days of Terra and Aqua MODIS data at 500 m resolution. The ozone data was provided by Environment Canada. The Aerosol Optical Thickness data was provided by the Commonwealth Scientific and Industrial Research Organisation (CSIRO). The Precipitable Water for Entire Atmosphere data was provided by the National Oceanic and Atmospheric Administration (NOAA) / Earth System Research Laboratory (ESRL) / Physical Sciences Division (PSD). The baseline Digital Surface Model (DSM) data produced from the Shuttle Radar Topography Mission (SRTM) was provided by the National Geospatial-Intelligence Agency (NGA). Level 1 Collection 1 data was provided by the United States Geological Survey (USGS)'s Earth Resources Observation and Science (EROS) Center.

Issued: 26 11 2019

Data time period: 2019-04-09

This dataset is part of a larger collection

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154,-9 154,-44 112,-44 112,-9 154,-9

133,-26.5

text: westlimit=112; southlimit=-44; eastlimit=154; northlimit=-9; projection=WGS 84 / Pseudo-Mercator (EPSG:3857)

Subjects
DEA | EARTH SCIENCES | Earth observation | Landsat | Published_External | analysis ready data | geoscientificInformation | observation attributes | satellite imagery | surface reflection |

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