--- 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: 0.08928964287042618 brdf: alpha_1: band_1: 0.21852535668401957 band_2: 0.21852402101893417 band_3: 0.27256900148674407 band_4: 0.21086443638267457 band_5: 0.31448951952514603 band_6: 0.28404717373302474 band_7: 0.2622928783727923 band_8: 0.24172442462713498 alpha_2: band_1: 0.21482866671755543 band_2: 0.21482914215285365 band_3: 0.2250319451885576 band_4: 0.2242529427466824 band_5: 0.19138263312617868 band_6: 0.17292158253093834 band_7: 0.19744492580719536 band_8: 0.22464272868643714 id: - 85c2379d-c96e-568c-8775-49974ce743e6 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.321 water_vapour: id: - 265fe96c-557d-5acf-a258-dd887932075e tier: DEFINITIVE value: 2.160000038146973 id: a9249dc0-b1ce-4b54-aef1-3a5a82d0b930 parameters: buffer_distance: 8000 esun: BAND-1: 1977.4624529925827 BAND-2: 2050.4305184366644 BAND-3: 1880.7665228358717 BAND-4: 1571.5110730838796 BAND-5: 956.7235334967728 BAND-6: 241.58596644346477 BAND-7: 82.21919264416861 BAND-8: 1769.1475205272563 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-21 01:28:57.885592Z atime: 2022-11-01 10:53:04Z ctime: 2022-11-01 08:53:42Z mtime: 2022-11-01 03:21:43Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/106_082/LC81060822022294/LC08_L1TP_106082_20221021_20221101_02_T1.tar system_information: hostname: gadi-cpu-clx-0245.gadi.nci.org.au runtime_id: 5ddd0c18-59d5-11ed-b25c-0000016dfe80 time_processed: 2022-11-01 11:07:25.601293Z uname: 'Linux gadi-cpu-clx-0245.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: 26.0 red: 1.0 teal: 5.0 yellow: 0.0 error_message: no errors final_qa_count: 28 granule: LC81060822022294LGN00 ref_date: '2014-08-28T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/106/082/LC81060822014240LGN00_B6.TIF residual: abs: x: 0.42 xy: 0.48 y: 0.24 abs_iterative_mean: x: 0.18 xy: 0.25 y: 0.17 cep90: 0.52 iterative_mean: x: -0.06 xy: 0.07 y: -0.03 iterative_stddev: x: 0.27 xy: 0.34 y: 0.2 mean: x: -0.31 xy: 0.31 y: -0.06 stddev: x: 1.09 xy: 1.15 y: 0.37 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 85.01688430670957 cloud: 2.5083174666910315 cloud_shadow: 1.0311928699919974 snow: 0.0 water: 11.443605356607396 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 ...