--- 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: 0.04142768681049347 brdf: alpha_1: band_1: 0.21727645316143435 band_2: 0.21727767832481273 band_3: 0.35575055337201406 band_4: 0.16458165729689583 band_5: 0.7186131735755934 band_6: 0.14693750830759034 band_7: 0.051271117037599415 band_8: 0.26016186686202447 alpha_2: band_1: 0.20711916849839054 band_2: 0.2071192600320497 band_3: 0.20174906115397004 band_4: 0.223419644867535 band_5: 0.08189434012211379 band_6: 0.20061263314329222 band_7: 0.23237808922759173 band_8: 0.21255180629164835 id: - fce96f8f-c994-5415-adae-a91415dfec4e - 417d4aff-99f7-5405-b0d9-7285f51ab619 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.313 water_vapour: id: - e7456b0e-13e7-5a94-8705-e2abfdba3c84 tier: DEFINITIVE value: 0.65 id: 3784be5e-d697-49c3-87a9-184f21e08f43 parameters: buffer_distance: 8000 esun: BAND-1: 1963.4899772775561 BAND-2: 2035.94287712689 BAND-3: 1867.477945689773 BAND-4: 1560.4074696003381 BAND-5: 949.9635227154606 BAND-6: 239.87898826993586 BAND-7: 81.63824523834776 BAND-8: 1756.6472215370675 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-08 01:59:27.794203Z atime: 2022-10-24 10:19:50Z ctime: 2022-10-13 13:04:57Z mtime: 2022-10-13 11:58:36Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/111_081/LC81110812022281/LC08_L1TP_111081_20221008_20221013_02_T1.tar system_information: hostname: gadi-cpu-clx-1003.gadi.nci.org.au runtime_id: cb79924e-5388-11ed-9f99-0000018cfe80 time_processed: 2022-10-24 10:44:11.251456Z uname: 'Linux gadi-cpu-clx-1003.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: 3.0 green: 245.0 red: 0.0 teal: 22.0 yellow: 1.0 error_message: no errors final_qa_count: 193 granule: LC81110812022281LGN00 ref_date: '2013-10-15T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/111/081/LC81110812013288LGN00_B6.TIF residual: abs: x: 0.14 xy: 0.25 y: 0.2 abs_iterative_mean: x: 0.09 xy: 0.18 y: 0.16 cep90: 0.29 iterative_mean: x: 0.04 xy: 0.16 y: 0.16 iterative_stddev: x: 0.1 xy: 0.13 y: 0.08 mean: x: 0.01 xy: 0.17 y: 0.17 stddev: x: 0.23 xy: 0.31 y: 0.21 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.8779205573334 cloud: 0.012411915448613458 cloud_shadow: 0.009961326428020221 snow: 0.0 water: 0.09970620078996523 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 ...