--- 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: - 2c01cbd7-acc2-56f6-b2fa-075eaee4366a tier: AATSR_CMP_MONTH value: 0.12363024801015854 brdf: alpha_1: band_1: 0.21602820464050418 band_2: 0.21602701592337062 band_3: 0.3490548868806588 band_4: 0.14058658228871104 band_5: 0.7382765126912263 band_6: 0.1137188752248551 band_7: 0.0442926267866209 band_8: 0.24481965269497727 alpha_2: band_1: 0.2602773038821639 band_2: 0.2602768697108935 band_3: 0.2461981375808757 band_4: 0.27987073372801247 band_5: 0.1245745418104022 band_6: 0.24236693313637792 band_7: 0.2834508603670042 band_8: 0.2630299940421943 id: - 1b1f3219-005b-5a3e-a67d-e591278a92f8 - 32ea1b2a-d544-5427-b12f-987cecc939e7 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.25 water_vapour: id: - 57c44388-e030-5088-b8b2-bd6b139fb84a tier: DEFINITIVE value: 3.1399999618530274 id: 67042894-4828-409e-8ade-4e560e339b3a parameters: buffer_distance: 8000 esun: BAND-1: 2019.56819054673 BAND-2: 2094.0900058725915 BAND-3: 1920.8139740432293 BAND-4: 1604.972996457152 BAND-5: 977.0949887031845 BAND-6: 246.7300132332818 BAND-7: 83.96987308626997 BAND-8: 1806.8177365172332 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-10 01:11:22.233556Z atime: 2022-12-28 14:53:37Z ctime: 2022-12-19 20:55:02Z mtime: 2022-12-19 18:06:33Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/104_069/LC81040692022344/LC08_L1TP_104069_20221210_20221219_02_T1.tar system_information: hostname: gadi-cpu-clx-1825.gadi.nci.org.au runtime_id: 3fc1906c-86c3-11ed-b25d-000001a3fe80 time_processed: 2022-12-28 15:21:06.469808Z uname: 'Linux gadi-cpu-clx-1825.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: 7.0 green: 199.0 red: 2.0 teal: 36.0 yellow: 2.0 error_message: no errors final_qa_count: 210 granule: LC81040692022344LGN00 ref_date: '2014-05-26T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/104/069/LC81040692014146LGN00_B6.TIF residual: abs: x: 0.22 xy: 0.37 y: 0.3 abs_iterative_mean: x: 0.16 xy: 0.25 y: 0.19 cep90: 0.47 iterative_mean: x: -0.11 xy: 0.12 y: 0.05 iterative_stddev: x: 0.16 xy: 0.28 y: 0.23 mean: x: -0.12 xy: 0.14 y: 0.08 stddev: x: 0.43 xy: 0.69 y: 0.54 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 84.16862384006208 cloud: 14.659906628478279 cloud_shadow: 1.1313267343186744 snow: 0.0 water: 0.040142797140959634 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 ...