RETIRED - Sentinel-2 Multispectral Instrument - Nadir BRDF Adjusted Reflectance  

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Abstract

<b>This record was retired 02/03/2023 with approval from M. Wilson as it has been superseded by <a href="https://dx.doi.org/10.26186/146552">eCat 146552 </a>& <a href="https://dx.doi.org/10.26186/146551">eCat 146551</a></b> Surface Reflectance product has been corrected to account for variations caused by atmospheric properties, sun position and sensor view angle at time of image capture. These corrections have been applied to all satellite imagery in the Sentinel-2 archive. This is undertaken to allow comparison of imagery acquired at different times, in different seasons and in different geographic locations. These products also indicate where the imagery has been affected by cloud or cloud shadow, contains missing data or has been affected in other ways. The Surface Reflectance products are useful as a fundamental starting point for any further analysis, and underpinall other optical derivedDigital Earth Australiaproducts.

Product Type

dataset

eCat Id

129677

Contact for the resource

Australian Government Security ClassificationSystem    

Classification - unclassified

Legal Constraints

Creative Commons Attribution 4.0 International Licence    

Access - license

Use - license

Status

Purpose

Maintenance Information

notPlanned

Topic Category

geoscientificInformation

Series Information

Lineage

<strong>Sentinel 2 MSI Archive</strong> Copernicus Australia is a regional hub supporting Copernicus, Europe's most ambitious and multifaceted Earth observation programme to date. The regional hub providesfree and open access to data from Europe’s Sentinel satellite missions for the following South-East Asia and South Pacific region.The regional hub is established under an agreement between Australia and the European Union. Implementation of the hub is facilitated by arrangements between the European Space Agency, the European Organisation for the Exploitation of Meteorological Satellites and Geoscience Australia. The project is operated collaboratively by Geoscience Australia, Queensland Department of Science Information Technology and Innovation, New South Wales Office of Environment and Heritage, Western Australian Land Information Authority and the Commonwealth Scientific Industrial Research Organisation. The National Computational Infrastructure is contracted to implement and operate the master data repository. To improve access to the region'sarchive of Sentinel 2 MSIdata, image data correction is applied that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). The approach has been applied to Landsat TM/ETM+ and OLI imagery with great success and is now extended to Sentinel 2 MSISR products. The advanced supercomputing facilities provided by the National Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing complexities involved with production of this product. Surface Reflectance Correction Models Image radiance values recorded by passive EO sensors are a composite of: • surface reflectance; • atmospheric condition; • interaction between surface land cover, solar radiation and sensor view angle; and • land surface orientation relative to the imaging sensor. It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modelled surface reflectance from Sentinel 2 MSI data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by different sensors will be primarily due to on-ground changes in biophysical parameters rather than artefacts of the imaging environment. basic_html<strong>Sentinel 2 MSI Archive</strong> Copernicus Australia is a regional hub supporting Copernicus, Europe's most ambitious and multifaceted Earth observation programme to date. The regional hub provides free and open access to data from Europe’s Sentinel satellite missions for the following South-East Asia and South Pacific region. The regional hub is established under an agreement between Australia and the European Union. Implementation of the hub is facilitated by arrangements between the European Space Agency, the European Organisation for the Exploitation of Meteorological Satellites and Geoscience Australia. The project is operated collaboratively by Geoscience Australia, Queensland Department of Science Information Technology and Innovation, New South Wales Office of Environment and Heritage, Western Australian Land Information Authority and the Commonwealth Scientific Industrial Research Organisation. The National Computational Infrastructure is contracted to implement and operate the master data repository. To improve access to the region's archive of Sentinel 2 MSI data,  image data correction is applied that incorporates normalising models to account for atmospheric effects, BRDF and topographic shading (Li et al., 2012). The approach has been applied to Landsat TM/ETM+ and OLI imagery with great success and is now extended to Sentinel 2 MSI SR products. The advanced supercomputing facilities provided by the National Computational Infrastructure (NCI) at the Australian National University (ANU) have been instrumental in handling the considerable data volumes and processing complexities involved with production of this product. Surface Reflectance Correction Models Image radiance values recorded by passive EO sensors are a composite of: • surface reflectance; • atmospheric condition; • interaction between surface land cover, solar radiation and sensor view angle; and • land surface orientation relative to the imaging sensor. It has been traditionally assumed that Landsat imagery display negligible variation in sun and sensor view angles, however these can vary significantly both within and between scenes, especially in different seasons and geographic regions (Li et al., 2012). The SR product delivers modelled surface reflectance from Sentinel 2 MSI data using physical rather than empirical models. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by different sensors will be primarily due to on-ground changes in biophysical parameters rather than artefacts of the imaging environment. Retire Approvals D2023-15828 & D2023-15815

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Extents

[-90, 90, -90, 90]

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