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+ + + +## 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: + +:::{csv-table} Summary of field site captures +:class: field-site-captures + +"Date","Field Site","Overpass (Link to site report)","Longitude, Latitude (WGS84)","Instrument","Comments" +"2024-07-01","NSW1","L9, S-2B","142.10368, -31.81348","Hand-held ASD FR-4","Both satellites affected by cloud – validation data not used." +"2024-07-02","NSW2","L8","143.48095, -31.59525","Drone mounted SR-3500","Good matchup" +"2024-07-02","NSW3","L8","145.47855, -31.52124","Hand-held ASD FR-4","Good matchup" +"2024-07-03","NSW3","L9, S-2A","145.47862, -31.52124","Hand-held ASD FR-4","Good matchup" +"2024-07-04","NSW4","L8","146.97750, -31.52760","Drone mounted SR-3500","Good matchup" +"2024-07-04","NSW5","L8","148.21046, -32.20980","Hand-held ASD FR-4","Good matchup" +"2024-07-05","NSW5","L9","148.21043, -32.20982","Hand-held ASD FR-4","Good matchup" +"2024-07-05","NSW6","L9, S-2B","150.02628, -30.78773","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","150.02628, -30.78777","Drone mounted SR-3500","Good matchup. Field site shows a significant slope and is partially over tree canopy." +::: +  +::: +:::{figure} ./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. + +::: +:::{figure} ./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. +::: + +::: +:::{figure} ./2024Q3-Boggabri2.jpg +:::{figure} ./2024Q3-Boggabri3.jpg +:::{figure} ./2024Q3-Boggabri4.jpg + +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 + +::: +:::{figure} ./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. + +:::{csv-table} Validation Results +:class: 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. + + diff --git a/docs/validation/quarterly-report/2024-q3/2024Q3_Locations.png b/docs/validation/quarterly-report/2024-q3/2024Q3_Locations.png new file mode 100644 index 0000000000000000000000000000000000000000..0d789054a205e41233d96e9f859cbaa1fbd803cc GIT binary patch literal 4409438 zcmZVl1ymhDvn~wduE8NV!C~XB!GaUqU4y%A+}+)SySuvucZcBa?2UhU&pr2^v;Ke9 z>eV$}^;C7&^qT7KsfkchkU~WwM1p{TK$ZR>t_%SIe*ysky@dexucds7)dK&5f(Wlo1vJHdQ?G0UDxG^5}lZ>p9`kP!CdMF3bx)7)pdxVT6#J+-Mu3ZZXL$ zc#O@IWRi-2!Sf@Eq}T7{VRJ#6;`wrK$N5J|D^#C+>}5apoF)5~Mb;?hTubb{X~29{~>C{e^b;pzNgYu(%$8bF0rDU6>E>5~ud z;m?c!QP2k;4DqGCM5;z2zyU+9=9~EIkkn^(x}B!ScT@j7KaM!AwO61=v{*OQkcVlJ 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