--- 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: 0.04885001480579376 brdf: alpha_1: band_1: 0.13971106014830137 band_2: 0.13971173722532074 band_3: 0.2143002741326359 band_4: 0.10409274823144564 band_5: 0.40678009543984484 band_6: 0.1258861033647674 band_7: 0.05137446163899138 band_8: 0.15925683018918751 alpha_2: band_1: 0.22994321783577537 band_2: 0.2299428309128164 band_3: 0.23451032221179627 band_4: 0.24112495671370443 band_5: 0.1669298156398426 band_6: 0.2186511164277366 band_7: 0.24698828131930592 band_8: 0.23780719572035608 id: - 2b78e242-a559-58bd-a743-b32b011a01fc tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.281 water_vapour: id: - bec4325f-b508-5a98-814e-c2e0bc05f1ef tier: DEFINITIVE value: 1.6100000381469728 id: 3d7e3c1e-a580-4f50-bd56-4aa3d83faf36 parameters: buffer_distance: 8000 esun: BAND-1: 2023.3615969275063 BAND-2: 2098.0237342543915 BAND-3: 1924.421371599735 BAND-4: 1607.9877765369288 BAND-5: 978.9301685348621 BAND-6: 247.19348736431868 BAND-7: 84.12759350248243 BAND-8: 1810.2117315997316 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-22 01:41:07.540868Z atime: 2023-01-05 17:38:24Z ctime: 2022-12-28 08:53:41Z mtime: 2022-12-28 08:29:24Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/108_082/LC81080822022356/LC08_L1TP_108082_20221222_20221228_02_T1.tar system_information: hostname: gadi-cpu-clx-1284.gadi.nci.org.au runtime_id: 796cdcca-8d23-11ed-a288-0000008ffe80 time_processed: 2023-01-05 18:05:01.887592Z uname: 'Linux gadi-cpu-clx-1284.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: 134.0 red: 1.0 teal: 39.0 yellow: 1.0 error_message: no errors final_qa_count: 134 granule: LC81080822022356LGN00 ref_date: '2014-07-25T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/108/082/LC81080822014206LGN00_B6.TIF residual: abs: x: 0.28 xy: 0.39 y: 0.27 abs_iterative_mean: x: 0.17 xy: 0.24 y: 0.17 cep90: 0.45 iterative_mean: x: -0.05 xy: 0.08 y: 0.06 iterative_stddev: x: 0.22 xy: 0.29 y: 0.19 mean: x: -0.09 xy: 0.12 y: 0.08 stddev: x: 0.61 xy: 0.71 y: 0.38 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 63.931103169946965 cloud: 33.692173231314996 cloud_shadow: 2.3730215294402415 snow: 0.0 water: 0.0037020692977979023 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 ...