--- wagl: algorithm_information: algorithm_version: 2.0 nbar_doi: http://dx.doi.org/10.1109/JSTARS.2010.2042281 nbar_terrain_corrected_doi: http://dx.doi.org/10.1016/j.rse.2012.06.018 ancillary: aerosol: id: - 3e541f52-5aa3-541a-a508-e57b8266f863 tier: AATSR_CMP_MONTH value: 0.10535039007663727 brdf: alpha_1: band_1: 0.31033958934469186 band_2: 0.31034899956620754 band_3: 0.43143510900266174 band_4: 0.28866290547908063 band_5: 0.7136466730852552 band_6: 0.23410148127255867 band_7: 0.1446888902014374 band_8: 0.3602083188192606 alpha_2: band_1: 0.26869912573388793 band_2: 0.2686989954994035 band_3: 0.2514277364408792 band_4: 0.27580213697329165 band_5: 0.16208253083465046 band_6: 0.22995158324807655 band_7: 0.2808786408679287 band_8: 0.26361665074487467 id: - d2965553-d6cc-50af-804c-ad813d953f41 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.275 water_vapour: id: - cb153176-6479-545c-b3f6-bd6c94acc50c tier: DEFINITIVE value: 3.0399999618530273 id: 306f2d3f-a52a-46bc-b48e-85a53f75661c parameters: buffer_distance: 8000 esun: BAND-1: 2003.0040723289026 BAND-2: 2076.9150259276753 BAND-3: 1905.0593287566965 BAND-4: 1591.8093616964293 BAND-5: 969.0809884676825 BAND-6: 244.70637907129048 BAND-7: 83.2811705948282 BAND-8: 1791.998667698243 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-16 00:23:07.662479Z atime: 2022-11-26 10:20:38Z ctime: 2022-11-22 21:51:11Z mtime: 2022-11-22 08:39:24Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/096_072/LC80960722022320/LC08_L1TP_096072_20221116_20221122_02_T1.tar system_information: hostname: gadi-cpu-clx-2526.gadi.nci.org.au runtime_id: d510dc1a-6d76-11ed-9499-00000081fe80 time_processed: 2022-11-26 10:41:06.656083Z uname: 'Linux gadi-cpu-clx-2526.gadi.nci.org.au 4.18.0-372.26.1.el8.nci.x86_64 #1 SMP Mon Sep 19 12:09:59 AEST 2022 x86_64' gqa: colors: blue: 6.0 green: 189.0 red: 2.0 teal: 41.0 yellow: 3.0 error_message: no errors final_qa_count: 224 granule: LC80960722022320LGN00 ref_date: '2013-07-02T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/096/072/LC80960722013183LGN00_B6.TIF residual: abs: x: 0.29 xy: 0.44 y: 0.33 abs_iterative_mean: x: 0.21 xy: 0.3 y: 0.22 cep90: 0.56 iterative_mean: x: -0.17 xy: 0.19 y: 0.09 iterative_stddev: x: 0.18 xy: 0.32 y: 0.26 mean: x: -0.12 xy: 0.17 y: 0.12 stddev: x: 0.64 xy: 0.97 y: 0.74 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 86.6533974779752 cloud: 12.513712100588728 cloud_shadow: 0.7507111142013464 snow: 0.0 water: 0.08217930723472523 software_versions: - name: modtran url: http://www.ontar.com/software/productdetails.aspx?item=modtran version: 6.0.1 - name: wagl url: https://github.com/GeoscienceAustralia/wagl version: 5.9.0 - name: eugl url: https://github.com/OpenDataCubePipelines/eugl version: 0.6.1 - name: gverify url: version: v0.25c - name: fmask url: https://www.pythonfmask.org/ version: 0.5.7 - name: tesp url: https://github.com/OpenDataCubePipelines/tesp version: 0.14.2 - name: eodatasets3 url: https://github.com/GeoscienceAustralia/eo-datasets version: 0.29.2 ...