--- 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: 0.04754507541656494 brdf: alpha_1: band_1: 0.23916443325610207 band_2: 0.2391531845052011 band_3: 0.4545439245161986 band_4: 0.2206625635522201 band_5: 0.8282776646088446 band_6: 0.2700508641480615 band_7: 0.1576776442611404 band_8: 0.33762159686599974 alpha_2: band_1: 0.19758944080411547 band_2: 0.19759158830548434 band_3: 0.18460149701552958 band_4: 0.2084018521256277 band_5: 0.05409662176834222 band_6: 0.15690419861397162 band_7: 0.20638327817945173 band_8: 0.19650048982445453 id: - 324101e4-4398-5adb-a34a-57edd7ada0c3 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.329 water_vapour: id: - e7456b0e-13e7-5a94-8705-e2abfdba3c84 tier: DEFINITIVE value: 1.0100000381469727 id: dd3ffcf8-6eb5-4714-8df6-b7e78e5377a4 parameters: buffer_distance: 8000 esun: BAND-1: 1963.4899175415803 BAND-2: 2035.9424183337198 BAND-3: 1867.4777360480173 BAND-4: 1560.4073558937378 BAND-5: 949.9635079666903 BAND-6: 239.87897027546725 BAND-7: 81.63824080814216 BAND-8: 1756.6470023146305 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-08 00:21:46.652836Z atime: 2022-10-24 10:33:06Z ctime: 2022-10-13 10:50:44Z mtime: 2022-10-13 09:10:27Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/095_084/LC80950842022281/LC08_L1TP_095084_20221008_20221013_02_T1.tar system_information: hostname: gadi-cpu-clx-0059.gadi.nci.org.au runtime_id: 84b2ab14-538a-11ed-b21e-00000198fe80 time_processed: 2022-10-24 10:56:31.516018Z uname: 'Linux gadi-cpu-clx-0059.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: 36.0 red: 1.0 teal: 11.0 yellow: 1.0 error_message: no errors final_qa_count: 49 granule: LC80950842022281LGN00 ref_date: '2014-11-03T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/095/084/LC80950842014307LGN00_B6.TIF residual: abs: x: 0.53 xy: 0.68 y: 0.44 abs_iterative_mean: x: 0.25 xy: 0.37 y: 0.28 cep90: 0.73 iterative_mean: x: -0.04 xy: 0.05 y: 0.02 iterative_stddev: x: 0.34 xy: 0.49 y: 0.36 mean: x: -0.18 xy: 0.23 y: -0.15 stddev: x: 1.18 xy: 1.67 y: 1.18 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 37.82708688929453 cloud: 53.358180233887644 cloud_shadow: 8.291281067363398 snow: 0.00019286017473766563 water: 0.5232589492797026 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 ...