--- 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: - 7855981a-e7f4-5626-8b80-9ca6f03ed668 tier: AATSR_CMP_MONTH value: 0.0803775042295456 brdf: alpha_1: band_1: 0.490364384922963 band_2: 0.49036275333043194 band_3: 0.5899879733445184 band_4: 0.47589169049380514 band_5: 0.7252586194663323 band_6: 0.4026436936726103 band_7: 0.17624520580883926 band_8: 0.5329245443158621 alpha_2: band_1: 0.17977246715191075 band_2: 0.17977226227977444 band_3: 0.16727051056299524 band_4: 0.18686600422097902 band_5: 0.10968293903346038 band_6: 0.1681999742723641 band_7: 0.2290608300087167 band_8: 0.1770780321573947 id: - 8195a5db-e51c-5aca-a499-18108b277fbc - b3d99505-b658-5adb-9209-164d512c3a51 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 8d1a0236-36ea-52b5-ad07-386919ce9935 tier: DEFINITIVE value: 0.273 water_vapour: id: - db9e910b-8026-5624-bd11-3900ac694b5e tier: DEFINITIVE value: 1.4100000381469728 id: ec9df5ae-8fd6-4663-ba69-68f49d59a08b parameters: buffer_distance: 8000 esun: BAND-1: 1941.3328164292304 BAND-2: 2012.968369644223 BAND-3: 1846.4036565526235 BAND-4: 1542.798675988365 BAND-5: 939.2435342711765 BAND-6: 237.17203339602403 BAND-7: 80.71698988290603 BAND-8: 1736.8241216571837 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-09-17 01:37:23.578871Z atime: 2022-09-28 10:33:31Z ctime: 2022-09-22 20:47:22Z mtime: 2022-09-22 20:15:14Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/108_072/LC81080722022260/LC08_L1TP_108072_20220917_20220922_02_T1.tar system_information: hostname: gadi-cpu-clx-0353.gadi.nci.org.au runtime_id: 8766d3a4-3f1b-11ed-875f-000001a5fe80 time_processed: 2022-09-28 10:51:38.657454Z uname: 'Linux gadi-cpu-clx-0353.gadi.nci.org.au 4.18.0-372.13.1.el8.nci.x86_64 #1 SMP Mon Jul 4 08:46:44 AEST 2022 x86_64' gqa: colors: blue: 3.0 green: 295.0 red: 0.0 teal: 18.0 yellow: 2.0 error_message: no errors final_qa_count: 256 granule: LC81080722022260LGN00 ref_date: '2014-04-20T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/108/072/LC81080722014110LGN00_B6.TIF residual: abs: x: 0.14 xy: 0.24 y: 0.19 abs_iterative_mean: x: 0.1 xy: 0.17 y: 0.14 cep90: 0.31 iterative_mean: x: -0.06 xy: 0.14 y: 0.12 iterative_stddev: x: 0.1 xy: 0.15 y: 0.11 mean: x: -0.05 xy: 0.14 y: 0.13 stddev: x: 0.25 xy: 0.36 y: 0.25 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.98300638572832 cloud: 0.00240628400700496 cloud_shadow: 0.002300809784475691 snow: 0.0 water: 0.01228652048021187 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: 0.6.0 - 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: 0.27.7 ...