--- 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: 0.10262206941843033 brdf: alpha_1: band_1: 0.44694003756111544 band_2: 0.44695648478215827 band_3: 0.5144132861598497 band_4: 0.21299833078755515 band_5: 0.4301235523572426 band_6: 0.17009274493768278 band_7: 0.04358450628269428 band_8: 0.36365338826620486 alpha_2: band_1: 0.17097746758021898 band_2: 0.17097486891246486 band_3: 0.17946860604511694 band_4: 0.20788937947421102 band_5: 0.15336154355232537 band_6: 0.1832676881702279 band_7: 0.21412714984222342 band_8: 0.1936802089587311 id: - 35af9a39-c60b-5ecb-9752-37a2f4b389ef tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.264 water_vapour: id: - 764299c1-bb9e-5ace-b805-053ca79d2006 tier: DEFINITIVE value: 1.9700000762939454 id: 6f1e2cd5-7a9e-4a4d-883b-d65a67e23b48 parameters: buffer_distance: 8000 esun: BAND-1: 2020.200511575055 BAND-2: 2094.7460295253663 BAND-3: 1921.4148763377134 BAND-4: 1605.475529287545 BAND-5: 977.4007465589106 BAND-6: 246.80726855185134 BAND-7: 83.99614815540733 BAND-8: 1807.3833458342226 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-12 01:01:23.248679Z atime: 2023-01-10 12:00:09Z ctime: 2023-01-09 21:36:20Z mtime: 2023-01-09 19:52:46Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/102_075/LC81020752022346/LC08_L1TP_102075_20221212_20230109_02_T1.tar system_information: hostname: gadi-cpu-clx-3017.gadi.nci.org.au runtime_id: a577844e-90e0-11ed-88ce-0000019afe80 time_processed: 2023-01-10 12:16:44.141320Z uname: 'Linux gadi-cpu-clx-3017.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: 46.0 red: 0.0 teal: 6.0 yellow: 2.0 error_message: no errors final_qa_count: 47 granule: LC81020752022346LGN00 ref_date: '2015-02-08T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/102/075/LC81020752015039LGN00_B6.TIF residual: abs: x: 0.29 xy: 0.39 y: 0.26 abs_iterative_mean: x: 0.22 xy: 0.26 y: 0.15 cep90: 0.47 iterative_mean: x: -0.19 xy: 0.19 y: -0.04 iterative_stddev: x: 0.18 xy: 0.26 y: 0.19 mean: x: -0.12 xy: 0.15 y: -0.09 stddev: x: 0.52 xy: 0.69 y: 0.45 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 52.63040000581293 cloud: 44.39373600405805 cloud_shadow: 2.97584435186969 snow: 4.909564833847561e-06 water: 1.4728694501542683e-05 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 ...