--- 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: 0.08345673233270645 brdf: alpha_1: band_1: 0.26354497657314147 band_2: 0.26354218407249086 band_3: 0.3861141128219934 band_4: 0.1771777300840722 band_5: 0.35856057836956606 band_6: 0.11679548934309196 band_7: 0.029020799150530248 band_8: 0.28161821528972475 alpha_2: band_1: 0.1859506687001604 band_2: 0.18595144994996718 band_3: 0.18189603795040893 band_4: 0.19884896937375662 band_5: 0.1496049359577989 band_6: 0.17001351416156252 band_7: 0.1944343574911054 band_8: 0.19037572289847904 id: - cd1286c5-7afe-5ce6-8b2c-97ec5ca9c3c7 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.292 water_vapour: id: - 29371eaa-35d7-5154-8387-36993062d0c9 tier: DEFINITIVE value: 3.1799999237060548 id: 9c43ffa3-34dc-4a1b-bb22-d22315d04c3a parameters: buffer_distance: 8000 esun: BAND-1: 2015.808392665042 BAND-2: 2090.192110490577 BAND-3: 1917.23759199463 BAND-4: 1601.984872712634 BAND-5: 975.2759052135119 BAND-6: 246.27071823200885 BAND-7: 83.81354369596174 BAND-8: 1803.4540863162042 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-30 02:16:47.616464Z atime: 2022-12-27 13:02:51Z ctime: 2022-12-06 23:24:33Z mtime: 2022-12-06 08:51:22Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/114_078/LC81140782022334/LC08_L1TP_114078_20221130_20221206_02_T1.tar system_information: hostname: gadi-cpu-clx-2241.gadi.nci.org.au runtime_id: db21d45c-85e9-11ed-b58c-00000189fe80 time_processed: 2022-12-27 13:24:56.838864Z uname: 'Linux gadi-cpu-clx-2241.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: 9.0 green: 128.0 red: 0.0 teal: 24.0 yellow: 0.0 error_message: no errors final_qa_count: 118 granule: LC81140782022334LGN00 ref_date: '2013-06-30T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/114/078/LC81140782013181LGN00_B6.TIF residual: abs: x: 0.18 xy: 0.33 y: 0.29 abs_iterative_mean: x: 0.1 xy: 0.24 y: 0.21 cep90: 0.42 iterative_mean: x: 0.04 xy: 0.22 y: 0.21 iterative_stddev: x: 0.11 xy: 0.18 y: 0.14 mean: x: 0.07 xy: 0.23 y: 0.22 stddev: x: 0.27 xy: 0.41 y: 0.31 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 96.2967710990814 cloud: 0.043920300248200365 cloud_shadow: 0.036299973937162146 snow: 0.0 water: 3.623008626733236 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 ...