--- 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: - 2c01cbd7-acc2-56f6-b2fa-075eaee4366a tier: AATSR_CMP_MONTH value: 0.09186428040266037 brdf: alpha_1: band_1: 0.4991680804254847 band_2: 0.4991683728626658 band_3: 0.5912638817192666 band_4: 0.48875704647474566 band_5: 0.8458576657750361 band_6: 0.3907180853157355 band_7: 0.1702450154607183 band_8: 0.5399600204956332 alpha_2: band_1: 0.19808057245157906 band_2: 0.19808135173118524 band_3: 0.183638493155302 band_4: 0.20176795689617227 band_5: 0.07915640137018587 band_6: 0.16570390253070877 band_7: 0.24030911342961805 band_8: 0.19271998957067038 id: - 91e06e7f-f68f-5848-bf70-0d66a06bb1ab tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.281 water_vapour: id: - 72fe3452-3010-553e-b6fb-3b729d3eb205 tier: DEFINITIVE value: 1.0300000190734864 id: 69d1a656-bd42-472e-9ca5-bfcb1641cae5 parameters: buffer_distance: 8000 esun: BAND-1: 2018.3037184796383 BAND-2: 2092.7790476619093 BAND-3: 1919.610935357538 BAND-4: 1603.968254595978 BAND-5: 976.4831250281303 BAND-6: 246.57554299845512 BAND-7: 83.91728809094303 BAND-8: 1805.6866196384638 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-06 00:02:24.978267Z atime: 2023-01-10 11:47:50Z ctime: 2023-01-09 21:27:47Z mtime: 2023-01-09 19:54:28Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/092_082/LC80920822022340/LC08_L1TP_092082_20221206_20230109_02_T1.tar system_information: hostname: gadi-cpu-clx-2960.gadi.nci.org.au runtime_id: 5dc92662-90df-11ed-a168-00000081fe80 time_processed: 2023-01-10 12:07:34.385726Z uname: 'Linux gadi-cpu-clx-2960.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: 5.0 green: 53.0 red: 0.0 teal: 13.0 yellow: 0.0 error_message: no errors final_qa_count: 53 granule: LC80920822022340LGN00 ref_date: '2014-01-14T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/092/082/LC80920822014014LGN00_B6.TIF residual: abs: x: 0.25 xy: 0.38 y: 0.29 abs_iterative_mean: x: 0.13 xy: 0.25 y: 0.21 cep90: 0.45 iterative_mean: x: -0.05 xy: 0.2 y: 0.19 iterative_stddev: x: 0.17 xy: 0.23 y: 0.15 mean: x: -0.09 xy: 0.2 y: 0.18 stddev: x: 0.4 xy: 0.51 y: 0.32 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.49197260519792 cloud: 0.006282358947775061 cloud_shadow: 0.00570767839007668 snow: 0.0 water: 0.4960373574642433 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 ...