--- 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: - 677f1bd6-e11f-5d8e-acc6-3d5752adecee tier: AATSR_CMP_MONTH value: 0.08690572530031204 brdf: alpha_1: band_1: 0.2034567958405342 band_2: 0.20345558721505694 band_3: 0.34683976757814045 band_4: 0.13295324594309613 band_5: 0.44220295758022904 band_6: 0.12128863564560032 band_7: 0.03417299407923981 band_8: 0.23988550368632788 alpha_2: band_1: 0.18114434818645242 band_2: 0.18114433782288597 band_3: 0.17324420273635702 band_4: 0.19773024630734742 band_5: 0.11825457907909018 band_6: 0.17256615382276977 band_7: 0.1949040910414342 band_8: 0.1854915987960771 id: - 417d4aff-99f7-5405-b0d9-7285f51ab619 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.298 water_vapour: id: - 49eb3dae-d236-592d-8445-8035e128af93 tier: DEFINITIVE value: 0.43000001907348634 id: 3a467773-d6a0-4b5e-960c-ee7a32108bb7 parameters: buffer_distance: 8000 esun: BAND-1: 1968.8640484419923 BAND-2: 2041.5146560891103 BAND-3: 1872.5885643022775 BAND-4: 1564.678254702927 BAND-5: 952.5635443439218 BAND-6: 240.5354855284639 BAND-7: 81.8616781390776 BAND-8: 1761.4550204316502 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-13 02:16:43.651122Z atime: 2022-10-24 10:30:47Z ctime: 2022-10-21 10:02:56Z mtime: 2022-10-21 08:48:58Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/114_078/LC81140782022286/LC08_L1TP_114078_20221013_20221020_02_T1.tar system_information: hostname: gadi-cpu-clx-2155.gadi.nci.org.au runtime_id: 12edca68-538a-11ed-ae34-00000191fe80 time_processed: 2022-10-24 10:53:20.649411Z uname: 'Linux gadi-cpu-clx-2155.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: 5.0 green: 149.0 red: 2.0 teal: 16.0 yellow: 3.0 error_message: no errors final_qa_count: 169 granule: LC81140782022286LGN00 ref_date: '2013-06-30T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/114/078/LC81140782013181LGN00_B6.TIF residual: abs: x: 0.31 xy: 0.46 y: 0.34 abs_iterative_mean: x: 0.13 xy: 0.25 y: 0.22 cep90: 0.52 iterative_mean: x: -0.0 xy: 0.19 y: 0.19 iterative_stddev: x: 0.2 xy: 0.3 y: 0.22 mean: x: 0.14 xy: 0.32 y: 0.29 stddev: x: 1.67 xy: 1.97 y: 1.05 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 96.87620883711874 cloud: 0.058701001975507434 cloud_shadow: 0.04839081389657673 snow: 0.0 water: 3.0166993470091827 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 ...