--- 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: 0.09613212198019028 brdf: alpha_1: band_1: 0.3089143272393668 band_2: 0.3089118422322546 band_3: 0.4929099642015268 band_4: 0.2244249613011392 band_5: 0.4384856324094554 band_6: 0.22120136231518808 band_7: 0.15848428443996454 band_8: 0.35859652088091853 alpha_2: band_1: 0.16435749788932047 band_2: 0.16435847092563724 band_3: 0.1574227820594128 band_4: 0.18670164248633556 band_5: 0.1328193703121725 band_6: 0.17454535253069842 band_7: 0.19073738140476124 band_8: 0.17207981284350515 id: - a7af9e7e-cdec-5d0f-8318-e80f9ad2c221 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.306 water_vapour: id: - 2513214b-622c-5bdf-a2bc-fa0b3d485862 tier: DEFINITIVE value: 1.3199999809265137 id: 1460df05-45ec-4645-b10e-299400efc694 parameters: buffer_distance: 8000 esun: BAND-1: 1979.6116812207342 BAND-2: 2052.659368869882 BAND-3: 1882.810673667416 BAND-4: 1573.2189086740766 BAND-5: 957.763348251072 BAND-6: 241.84855046318827 BAND-7: 82.30854130848581 BAND-8: 1771.0704191465984 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-23 01:15:49.484013Z atime: 2022-11-03 10:16:26Z ctime: 2022-11-01 21:11:27Z mtime: 2022-11-01 09:09:06Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/104_080/LC81040802022296/LC08_L1TP_104080_20221023_20221101_02_T1.tar system_information: hostname: gadi-cpu-clx-2864.gadi.nci.org.au runtime_id: 9b4234e6-5b62-11ed-9103-0000008afe80 time_processed: 2022-11-03 10:30:58.806918Z uname: 'Linux gadi-cpu-clx-2864.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: 7.0 green: 97.0 red: 0.0 teal: 20.0 yellow: 1.0 error_message: no errors final_qa_count: 86 granule: LC81040802022296LGN00 ref_date: '2014-08-30T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/104/080/LC81040802014242LGN00_B6.TIF residual: abs: x: 0.23 xy: 0.34 y: 0.25 abs_iterative_mean: x: 0.12 xy: 0.21 y: 0.18 cep90: 0.42 iterative_mean: x: -0.07 xy: 0.13 y: -0.11 iterative_stddev: x: 0.15 xy: 0.23 y: 0.18 mean: x: -0.11 xy: 0.17 y: -0.13 stddev: x: 0.37 xy: 0.48 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: 79.77177432520513 cloud: 16.396161295304616 cloud_shadow: 3.8222299566115447 snow: 0.0 water: 0.00983442287871523 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 ...