--- 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: 0.06767410784959793 brdf: alpha_1: band_1: 0.353754681080824 band_2: 0.3537552694774092 band_3: 0.37047936278702576 band_4: 0.2734821135921658 band_5: 0.3999347686678534 band_6: 0.2883223696526069 band_7: 0.17893205036342164 band_8: 0.3219720026828584 alpha_2: band_1: 0.18311846034445808 band_2: 0.1831180055260665 band_3: 0.18997549601469546 band_4: 0.19585580581797532 band_5: 0.1613053530859824 band_6: 0.16842483967273716 band_7: 0.19404180229034257 band_8: 0.1929090903383674 id: - 4e8e75a2-7d26-52a1-84aa-1212b23d6bca - 9c7bbd29-9367-5ca1-9334-e7352e275806 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.275 water_vapour: id: - 3fc02ce4-6d26-5ff3-a9ae-4d85284073bc tier: DEFINITIVE value: 1.7399999618530275 id: 44cbac87-5152-46f5-b139-9fd7c23a065d parameters: buffer_distance: 8000 esun: BAND-1: 2017.987615676841 BAND-2: 2092.4513552618664 BAND-3: 1919.3104546937639 BAND-4: 1603.716631852064 BAND-5: 976.3302509974637 BAND-6: 246.53696399356855 BAND-7: 83.90414469419602 BAND-8: 1805.4037851234943 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-05 00:56:50.636483Z atime: 2022-12-28 14:56:03Z ctime: 2022-12-13 09:09:37Z mtime: 2022-12-12 23:24:52Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/101_079/LC81010792022339/LC08_L1TP_101079_20221205_20221212_02_T1.tar system_information: hostname: gadi-cpu-clx-1825.gadi.nci.org.au runtime_id: 2f0f41f6-86c3-11ed-8714-000001a3fe80 time_processed: 2022-12-28 15:20:38.461074Z 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: 1.0 green: 228.0 red: 0.0 teal: 21.0 yellow: 1.0 error_message: no errors final_qa_count: 198 granule: LC81010792022339LGN00 ref_date: '2014-08-09T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/101/079/LC81010792014221LGN00_B6.TIF residual: abs: x: 0.12 xy: 0.24 y: 0.21 abs_iterative_mean: x: 0.07 xy: 0.17 y: 0.16 cep90: 0.36 iterative_mean: x: -0.02 xy: 0.13 y: 0.13 iterative_stddev: x: 0.09 xy: 0.18 y: 0.15 mean: x: -0.02 xy: 0.16 y: 0.16 stddev: x: 0.2 xy: 0.4 y: 0.34 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 79.23981378106612 cloud: 19.09002202259577 cloud_shadow: 1.6654546724489399 snow: 0.0 water: 0.004709523889176257 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 ...