2024 Q1: DEA Quarterly Validation Report

Executive Summary

This Quarterly report summarises validation for DEA surface reflectance products for Quarter 1 (January-March) of 2024 and presents aggregate validation results to the end of this quarter.

  • During this quarter, no new measurements were taken.

  • Validation of Landsat 8, 9 and Sentinel-2A, -2B all remained the same.

  • On an averaged band-by-band basis, Landsat 8 is validated to 2.5%, Landsat 9 is validated to 15%, Sentinel-2A is validated to 2.4% and Sentinel-2B is validated to 2.5%.

Introduction

This quarterly report presents a summary of results from Q1 2024 from the Digital Earth Calibration/Validation team. The report is presented in the following sections:

  • Background — this section outlines the context around this work, with particular attention paid ton historical work leading up to this quarter.

  • Summary of Validation Work — this section provides an overall view of the field site measurements undertaken.

  • Comments on Individual Sites of Interest — this section focuses on any sites where some aspect of the site or measurement was atypical.

  • Summary of Band-by-Band Matching — this section presents comparison data for this quarter’s results, in the context of all previous results.

  • Comments on How This Quarter’s Work Has Affected Combined Validation Results — this section discusses how the average results for each sensor have changed with the introduction of new validation data this quarter. All band data for each platform is combined to show averaged validation results.

Background

The Digital Earth branch within Geoscience Australia offers a suite of Earth observation products, based on data from both Landsat and Sentinel platforms. The core products are Landsat 8 and 9 and Sentinel-2A and -2B surface reflectance (SR). To deliver these products with confidence, the Calibration/Validation team perform vicarious validation by measuring field sites with hand-held equipment or an Unstaffed Aerial Vehicle (UAV; commonly known as drone) equipment close to the time of an overpass. This work began with Phase 1, where measurements were performed by multiple groups across continental Australia. Full details on the results and methodology can be found in the Phase 1 report.

Data for both SR products and from field site measurements are made freely available. For SR products, you can visualise the data in DEA Maps, or for a more in-depth understanding and direct access to data, please visit the DEA Knowledge Hub Data Products section. Field measurement data are made available through the National Spectral Database.

As more field sites are measured and as newer measurements are made over the same field sites, the overall validation of SR products becomes more accurate. The purpose of this report is to provide an up-to-date status of validation accuracy, based on the most recent measurements.

Summary of Validation Work

No new sites were measured.

Comments on Individual Sites of Interest

No sites of particular interest.

Summary of Band-by-Band Matching

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The Figure shows comparison data for each platform. Black dots represent data that were collected prior to this quarter. Coloured symbols represent data that were collected in this quarter. The diagonal line in each panel shows the one-to-one correspondence between field and satellite data. Note that this diagonal line does NOT show the line of best fit. It is plotted this way to highlight any trends where the data may be biased away from the line of one-to-one correspondence. The statistics in the bottom-right corner of each panel provide details for the line of best fit through all points up to and including this quarter’s data.

The Table below lists overall validation results. These are based on the standard deviation of the scatter that we find for each band of each sensor. This is when taking all the validation results together, up to and including this quarter’s results. The band-by-band scatter is representative of the validation performance of each band. Rather than providing values for each individual band, we characterise all results by looking at the mean and maximum scatter for each platform.

Validation Results

Satellite platform

Mean band-by-band scatter

Maximum band-by-band scatter

Landsat 8

2.6%

3.3%

Landsat 9

9.9%

27%

Sentinel-2A

2.4%

2.9%

Sentinel-2B

2.5%

4.6%

For example, the Table shows that each Landsat 8 band is typically validated to 2-3%, with the worst performance of a band being 3.1%. Note that there is much larger scatter for Landsat 9, indicating higher uncertainty in validation. This is because there have been fewer field site measurements to coincide with the relatively new Landsat 9 platform.

Effect on Cumulative Validation Results

This section discusses the effect that this quarter’s validation results have had on the total validation results over all time.

Since no new measurements were taken during this quarter, validation performance remains the same.

Acknowledgments

The field validation data were collected by Geoscience Australia.