--- 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: 0.07634351402521133 brdf: alpha_1: band_1: 0.5751464487898036 band_2: 0.5751562741797072 band_3: 0.5681545785915029 band_4: 0.5362509163257078 band_5: 0.7505280784645454 band_6: 0.3296903708128558 band_7: 0.1807147656186861 band_8: 0.5522135413940876 alpha_2: band_1: 0.15046966471864393 band_2: 0.15046885770960436 band_3: 0.16280711653533517 band_4: 0.16388608291156417 band_5: 0.08948013968134351 band_6: 0.16385607108353428 band_7: 0.21007914026235594 band_8: 0.1633327238846773 id: - e258a4d3-7e4b-5c4c-9ea5-ec5218030f96 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.284 water_vapour: id: - 314ac131-3b8f-5927-ba64-fe0de981fe7c tier: DEFINITIVE value: 1.5199999809265137 id: 50f726b5-845c-4cfd-836c-cadcbcc1569a parameters: buffer_distance: 8000 esun: BAND-1: 2022.7293054950196 BAND-2: 2097.3677531528583 BAND-3: 1923.8201443972846 BAND-4: 1607.4853114438004 BAND-5: 978.6242211428266 BAND-6: 247.11622804937784 BAND-7: 84.10129971167001 BAND-8: 1809.645782808238 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-20 01:54:19.162083Z atime: 2023-01-05 18:29:57Z ctime: 2023-01-04 10:13:32Z mtime: 2023-01-04 03:07:37Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/110_084/LC81100842022354/LC08_L1TP_110084_20221220_20221227_02_T1.tar system_information: hostname: gadi-cpu-clx-1836.gadi.nci.org.au runtime_id: f3aa53b4-8d28-11ed-8f59-00000080fe80 time_processed: 2023-01-05 18:44:14.457325Z uname: 'Linux gadi-cpu-clx-1836.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: 4.0 green: 156.0 red: 4.0 teal: 23.0 yellow: 1.0 error_message: no errors final_qa_count: 180 granule: LC81100842022354LGN00 ref_date: '2013-11-09T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/110/084/LC81100842013313LGN00_B6.TIF residual: abs: x: 0.35 xy: 0.46 y: 0.3 abs_iterative_mean: x: 0.23 xy: 0.29 y: 0.18 cep90: 0.6 iterative_mean: x: -0.2 xy: 0.21 y: 0.09 iterative_stddev: x: 0.21 xy: 0.31 y: 0.23 mean: x: -0.24 xy: 0.27 y: 0.13 stddev: x: 0.75 xy: 1.26 y: 1.01 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 43.61255063642174 cloud: 8.80032197061713 cloud_shadow: 4.266269290412572 snow: 0.0 water: 43.32085810254856 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 ...