--- 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: 0.10741087049245834 brdf: alpha_1: band_1: 0.27275281736751755 band_2: 0.2727569790856507 band_3: 0.3139935177791112 band_4: 0.23257963113926863 band_5: 0.4999398710829895 band_6: 0.29166903111430775 band_7: 0.16481310552579184 band_8: 0.2733169760122698 alpha_2: band_1: 0.2369150949611312 band_2: 0.2369151465387851 band_3: 0.23582551938409865 band_4: 0.24636255814790414 band_5: 0.17440581836642555 band_6: 0.1963490165151255 band_7: 0.23308378538728117 band_8: 0.24109595883382062 id: - d4ddc06b-45f8-5a33-b8ab-d5bafbeca540 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.275 water_vapour: id: - 3b5ffdde-326f-5a48-a930-1ccf3d645dd0 tier: DEFINITIVE value: 3.6099998474121096 id: b09db525-65d8-46f5-aa21-099839233ecf parameters: buffer_distance: 8000 esun: BAND-1: 2007.5770859505533 BAND-2: 2081.6568403787956 BAND-3: 1909.4090581546823 BAND-4: 1595.4437974141792 BAND-5: 971.2935005770519 BAND-6: 245.26507908122443 BAND-7: 83.47130460542763 BAND-8: 1796.089755927441 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-21 00:42:03.769418Z atime: 2022-12-03 10:22:24Z ctime: 2022-11-29 09:50:26Z mtime: 2022-11-29 02:21:16Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/099_073/LC80990732022325/LC08_L1TP_099073_20221121_20221129_02_T1.tar system_information: hostname: gadi-cpu-clx-2808.gadi.nci.org.au runtime_id: 9635f432-72f6-11ed-85c4-00000088fe80 time_processed: 2022-12-03 10:38:12.598055Z uname: 'Linux gadi-cpu-clx-2808.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: 36.0 red: 1.0 teal: 5.0 yellow: 0.0 error_message: no errors final_qa_count: 41 granule: LC80990732022325LGN00 ref_date: '2014-04-21T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/099/073/LC80990732014111LGN00_B6.TIF residual: abs: x: 0.25 xy: 0.51 y: 0.45 abs_iterative_mean: x: 0.17 xy: 0.3 y: 0.25 cep90: 0.56 iterative_mean: x: -0.01 xy: 0.21 y: 0.21 iterative_stddev: x: 0.21 xy: 0.34 y: 0.26 mean: x: -0.06 xy: 0.07 y: 0.01 stddev: x: 0.47 xy: 1.32 y: 1.23 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 2.010724907148077 cloud: 97.93640379208142 cloud_shadow: 0.05281483269909869 snow: 2.4551335393779607e-06 water: 5.401293786631513e-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 ...