2024 Q3: DEA Quarterly Validation Report

Executive Summary

This Quarterly report summarises validation for DEA surface reflectance products for quarter 3 (July-September), 2024 and presents aggregate validation results to the end of this quarter.

  • During this quarter, 6 field sites were measured 9 times and can be matched to 11 overpasses.

  • Validation of Landsat 8 and 9 and Sentinel-2A all improved in accuracy, taking into account the data from this quarter.

  • Validation of Sentinel-2B degraded slightly, which is likely because the only site measurement matched to a Sentinel-2B overpass was over a challenging site with complex terrain and surface morphology.

  • On an averaged band-by-band basis, Landsat 8 is validated to 2.4%, Landsat 9 is validated to 13.4%, Sentinel-2A is validated to 2.2% and Sentinel-2B is validated to 2.6%.

Introduction

This quarterly report presents a summary of results from Q3 2024 (July-September) from the Digital Earth Calibration/Validation team. The report is presented in the following sections:

  • Background outlines the context around this work, with particular attention on historical work leading up to this quarter.

  • Summary of Validation Work presents an overall picture of the field site measurements undertaken in a table and map.

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

  • Summary of Band-by-Band Matching 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 discusses how the average results for each sensor have changed with the introduction of new validation data from this quarter. This section combines all band data for each platform to show averaged validation results.

The Q3, 2024 validation report includes field site measurements that were captured as part of the winter transect work across South Australia and New South Wales. Note that one field site measurement for SA1 is part of the Q2 2024 validation report and not shown here. No other field site measurements were conducted during this quarter.

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 surety, the Calibration and Validation (Cal/Val) team perform vicarious validation by measuring field sites with hand-held or Unstaffed Aerial Vehicle (UAV, commonly known as drones)-based 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 at DEA Maps, or for a more in-depth understanding and direct access to data, please visit the DEA Data and Products page. 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

6 sites were measured, with 9 individual field site captures. The table below summarises these captures:

Summary of field site captures

Site capture (Date, Field site, Overpasses)

Latitude, Longitude (WGS84)

Instrument

Comments

2024-07-01 NSW1: L9, S-2B

-31.81348, 142.10368

Hand-held ASD FR-4

Both satellites affected by cloud – validation data not used.

2024-07-02 NSW2: L8

-31.59525, 143.48095

Drone mounted SR-3500

Good matchup

2024-07-02 NSW3: L8

-31.52124, 145.47855

Hand-held ASD FR-4

Good matchup

2024-07-03 NSW3: L9, S-2A

-31.52124, 145.47862

Hand-held ASD FR-4

Good matchup

2024-07-04 NSW4: L8

-31.52760, 146.97750

Drone mounted SR-3500

Good matchup

2024-07-04 NSW5: L8

-32.20980, 148.21046

Hand-held ASD FR-4

Good matchup

2024-07-05 NSW5: L9

-32.20982, 148.21043

Hand-held ASD FR-4

Good matchup

2024-07-05 NSW6: L9, S-2B

-30.78773, 150.02628

Drone mounted SR-3500

Clouds nearby for S-2B overpass but both overpasses show a good matchup. Field site shows a significant slope and is partially over tree canopy.

2024-07-06 NSW6: L8

-30.78777, 150.02628

Drone mounted SR-3500

Good matchup. Field site shows a significant slope and is partially over tree canopy.

../../../_images/2024Q3_Locations.png

The Figure shows the locations of the field sites measured in this quarter.

Comments on Individual Sites of Interest

NSW6 field site, also known as Boggabri, is situated on the slope of a hill, which rises about 200m over a length of around 700m. The bottom of the hill is situated within a canola field, However, the field site is located along the slope of the hill, which is covered with native vegetation, mainly comprising of trees. This site was specifically selected to be more challenging than typical field sites due to the slope of the hill and the presence of the tree canopy.

../../../_images/2024Q3-Boggabri1.png

The Figure shows NSW6 field site (blue square), in the context of the surrounding area. The bottom panel of the Figure shows the elevation profile of the hill, following along the white line drawn in the upper panel.

The Figure shows three images taken by the drone during flight on 6 July 2024, showing the transition between cultivated field and native area (left) and examples of tree canopy in the field site area (middle and right). This Figure highlights the challenges of validating the site, where the surface reflectance properties vary strongly and individual sight lines may land on tree canopy, shadow or somewhere in between.

Summary of Band-by-Band Matching

../../../_images/2024Q3-Matchup.png

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. Statistics, given in the bottom right-hand corner of each panel, show 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, for each sensor, 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

2.4%

3.1%

Landsat 9

13.4%

35.9%

Sentinel-2A

2.2%

2.7%

Sentinel-2B

2.6%

4.4%

The Table indicates that, for example, each Landsat 8 band is validated to typically 2-3%, with the worst band performance being 3.1%. Note that there is much larger scatter (ie. uncertainty in validation) for Landsat 9. 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 made on the total all-time validation results.

For Landsat 8, this quarter has seen an overall improvement in validation results. There were 5 field site comparison measurements. The NIR band for NSW6 on 6 July, 2024 stands out as below the line of equality. This is the Boggabri field site, where there is a significant slope to the site, as well as strongly changing surface reflectance within the field site. A BRDF correction to the slope has not yet been applied to the SR-3500 data (expected to be done in Q1, 2025), which may also contribute to the discrepancy. Overall, the field data for Landsat 8 overpasses continue to improve the validation reliability, where the statistics indicate that, with all bands taken together, Landsat 8 data can be relied upon to around 1% of the surface reflectance.

For Landsat 9, this quarter has seen an overall improvement in validation results. There were 4 field site comparison measurements. Again, the NIR band for NSW6 on 5 July, 2024 stands out as below the line of equality. This is the Boggabri field site, where there is a significant slope to the site, as well as strongly changing surface reflectance within the field site. A BRDF correction to the slope has not yet been applied to the data, which may also contribute to the discrepancy. Overall, the field data for Landsat 9 overpasses continue to improve the validation reliability, where the statistics indicate that, with all bands taken together, Landsat 9 data can be relied upon to around 2% of the surface reflectance. The larger uncertainty of Landsat 9, when compared to Landsat 8 above, is most likely due to few overall field site comparisons with the newer Landsat 9 OLI2 sensor.

For Sentinel-2A, this quarter has seen an overall improvement in validation results. There was 1 field site comparison measurement at NSW3 on 3 July, 2024. This measurement shows an excellent match. Overall, the field data for Sentinel-2A overpasses continue to improve the validation reliability, where the statistics indicate that, with all bands taken together, Sentinel-2A data are consistently within around 1% of the surface reflectance.

For Sentinel-2B, this quarter has seen an overall degradation in validation results. There was 1 field site comparison measurement at NSW6 on 5 July, 2024. This measurement is the Boggabri field site, where there is a significant slope to the site, as well as strongly changing surface reflectance within the field site. A BRDF correction to the slope has not yet been applied to the data, which may also contribute to the discrepancy. Overall, the field data for Sentinel-2B in this quarter has slightly degraded validation performance, where the statistics indicate that, with all bands taken together, Sentinel-2B data can be relied upon to around 1% of the surface reflectance.

Acknowledgments

The field validation data were collected by Geoscience Australia.