--- 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: 0.13555441796779633 brdf: alpha_1: band_1: 0.3920461004115754 band_2: 0.3920461004115754 band_3: 0.5813336718337744 band_4: 0.2289659165724201 band_5: 0.47672527126938896 band_6: 0.1817033225943653 band_7: 0.025693225208901153 band_8: 0.40514583804454857 alpha_2: band_1: 0.13921622404793568 band_2: 0.13921622404793568 band_3: 0.12769743742902492 band_4: 0.16806474965016913 band_5: 0.10359154146158804 band_6: 0.15184682909561403 band_7: 0.18456071821990847 band_8: 0.1478863430485673 id: - 14353f5d-5a71-513e-b835-f61237312d9d - f56c9af3-6458-50e8-9489-8c7a2ed7a655 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.279 water_vapour: id: - 8ebca345-2538-5a87-865d-cea893d66bab tier: DEFINITIVE value: 1.1800000190734863 id: a18ebf6e-ecd3-438d-a039-3af1b506dc95 parameters: buffer_distance: 8000 esun: BAND-1: 1990.1992875492206 BAND-2: 2063.637604269078 BAND-3: 1892.88065295448 BAND-4: 1581.632885003437 BAND-5: 962.8859195712386 BAND-6: 243.1420279210769 BAND-7: 82.74877415379576 BAND-8: 1780.542921847541 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-02 01:50:33.508883Z atime: 2022-11-15 10:43:39Z ctime: 2022-11-14 21:13:55Z mtime: 2022-11-14 16:37:45Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/110_074/LC81100742022306/LC08_L1TP_110074_20221102_20221114_02_T1.tar system_information: hostname: gadi-cpu-clx-1681.gadi.nci.org.au runtime_id: 37645234-64d5-11ed-b0d4-0000018ffe80 time_processed: 2022-11-15 11:04:03.840236Z 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: 9.0 green: 166.0 red: 8.0 teal: 39.0 yellow: 3.0 error_message: no errors final_qa_count: 213 granule: LC81100742022306LGN00 ref_date: '2014-04-18T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/110/074/LC81100742014108LGN00_B6.TIF residual: abs: x: 0.74 xy: 0.82 y: 0.36 abs_iterative_mean: x: 0.27 xy: 0.36 y: 0.23 cep90: 0.76 iterative_mean: x: -0.02 xy: 0.07 y: 0.06 iterative_stddev: x: 0.4 xy: 0.49 y: 0.29 mean: x: -0.11 xy: 0.13 y: 0.07 stddev: x: 3.06 xy: 3.18 y: 0.83 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.98618357051251 cloud: 0.008378726695239442 cloud_shadow: 0.004438540247580695 snow: 0.0 water: 0.0009991625446710967 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 ...