--- 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: 0.10577449947595596 brdf: alpha_1: band_1: 0.5671513903278113 band_2: 0.567138332399835 band_3: 0.7227082789388117 band_4: 0.638559209602321 band_5: 0.7584166950259386 band_6: 0.5710200513561203 band_7: 0.7124966028765997 band_8: 0.6806282859083049 alpha_2: band_1: 0.1914319608262448 band_2: 0.19143950619949404 band_3: 0.1472547032972135 band_4: 0.1803449156339057 band_5: 0.07576811747785109 band_6: 0.12348353949794824 band_7: 0.1339707545059835 band_8: 0.1638108262031617 id: - bedbd63e-645f-5696-8975-48552c4eb430 - 291f8726-dd53-5ad7-a24b-32fdb1d02c52 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.344 water_vapour: id: - 19327999-19ab-5880-8cf3-c50bd258f36d tier: DEFINITIVE value: 1.2300000190734863 id: dd67f1f1-2cde-42e7-93d4-5abbaf00ab4e parameters: buffer_distance: 8000 esun: BAND-1: 1973.1631406302786 BAND-2: 2045.972636139783 BAND-3: 1876.6778283218039 BAND-4: 1568.0938988860003 BAND-5: 954.6435133807084 BAND-6: 241.06074362699033 BAND-7: 82.040437897178 BAND-8: 1765.301267982244 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-17 00:16:45.159346Z atime: 2022-11-01 10:18:55Z ctime: 2022-10-31 20:49:57Z mtime: 2022-10-31 16:35:32Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/094_087/LC80940872022290/LC08_L1TP_094087_20221017_20221031_02_T1.tar system_information: hostname: gadi-cpu-clx-0243.gadi.nci.org.au runtime_id: a870aa0e-59d1-11ed-af02-0000018dfe80 time_processed: 2022-11-01 10:40:52.730380Z uname: 'Linux gadi-cpu-clx-0243.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: 2.0 green: 16.0 red: 1.0 teal: 2.0 yellow: 2.0 error_message: no errors final_qa_count: 18 granule: LC80940872022290LGN00 ref_date: '2014-01-28T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/094/087/LC80940872014028LGN00_B6.TIF residual: abs: x: 0.75 xy: 0.79 y: 0.25 abs_iterative_mean: x: 0.22 xy: 0.27 y: 0.16 cep90: 0.5 iterative_mean: x: -0.15 xy: 0.16 y: 0.07 iterative_stddev: x: 0.3 xy: 0.35 y: 0.17 mean: x: 0.2 xy: 0.22 y: 0.09 stddev: x: 1.81 xy: 1.84 y: 0.35 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 11.201855805629837 cloud: 54.08069541682459 cloud_shadow: 4.492929740334059 snow: 9.503905166817539e-05 water: 30.22442399815985 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 ...