--- 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: - 3e541f52-5aa3-541a-a508-e57b8266f863 tier: AATSR_CMP_MONTH value: 0.09451276063919067 brdf: alpha_1: band_1: 0.3767718463145422 band_2: 0.3767718463145422 band_3: 0.5663980208404972 band_4: 0.2208553978825824 band_5: 0.5027196505815826 band_6: 0.19994152451376515 band_7: 0.034119552474190885 band_8: 0.3936895904541359 alpha_2: band_1: 0.1545431997860852 band_2: 0.1545431997860852 band_3: 0.1447940870141602 band_4: 0.18234379132368683 band_5: 0.10820291080756782 band_6: 0.16125352845456456 band_7: 0.19296810991825475 band_8: 0.16355908173820008 id: - 14353f5d-5a71-513e-b835-f61237312d9d tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.288 water_vapour: id: - 8ebca345-2538-5a87-865d-cea893d66bab tier: DEFINITIVE value: 0.9300000190734864 id: 435dc8e1-cc3a-42b5-a403-b5caeb254740 parameters: buffer_distance: 8000 esun: BAND-1: 1990.199444479375 BAND-2: 2063.6376163692444 BAND-3: 1892.8810184501508 BAND-4: 1581.6328824503082 BAND-5: 962.8859351377996 BAND-6: 243.14207802309386 BAND-7: 82.7487649855928 BAND-8: 1780.5428006193258 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-02 01:51:21.392627Z atime: 2022-11-15 10:33:10Z ctime: 2022-11-14 20:59:07Z mtime: 2022-11-14 16:37:33Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/110_076/LC81100762022306/LC08_L1TP_110076_20221102_20221114_02_T1.tar system_information: hostname: gadi-cpu-clx-1681.gadi.nci.org.au runtime_id: 685188da-64d5-11ed-94ac-0000018ffe80 time_processed: 2022-11-15 11:05:25.926408Z uname: 'Linux gadi-cpu-clx-1681.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: 57.0 red: 1.0 teal: 17.0 yellow: 2.0 error_message: no errors final_qa_count: 69 granule: LC81100762022306LGN00 ref_date: '2014-07-23T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/110/076/LC81100762014204LGN00_B6.TIF residual: abs: x: 0.41 xy: 0.52 y: 0.32 abs_iterative_mean: x: 0.22 xy: 0.28 y: 0.18 cep90: 0.56 iterative_mean: x: 0.04 xy: 0.04 y: 0.0 iterative_stddev: x: 0.28 xy: 0.36 y: 0.23 mean: x: 0.0 xy: 0.01 y: -0.01 stddev: x: 0.78 xy: 0.98 y: 0.59 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.9845884450082 cloud: 0.008347210192122706 cloud_shadow: 0.005021081182273047 snow: 0.0 water: 0.0020432636174076446 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 ...