--- 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: - e9924d02-1de8-54ae-b747-f1bae8ae18b6 tier: AATSR_CMP_MONTH value: 0.06721321493387222 brdf: alpha_1: band_1: 0.09462666552368497 band_2: 0.09461107411531897 band_3: 0.1600303238022514 band_4: 0.07855025551824063 band_5: 0.3163582080162404 band_6: 0.0749265974028177 band_7: 0.022475320688423152 band_8: 0.11931546112750965 alpha_2: band_1: 0.21601866441276335 band_2: 0.2160217729245765 band_3: 0.21390544451604146 band_4: 0.21320413218234702 band_5: 0.1517553582305099 band_6: 0.18873178572764115 band_7: 0.20941120563293555 band_8: 0.21355368791107926 id: - 9cec5590-269e-50d5-95b1-69a1c401c89d tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 11d6a227-f723-5b6c-8e62-f85e958cc0ee tier: DEFINITIVE value: 0.269 water_vapour: id: - 9b11152e-3aab-5c64-b154-8e4fc64ec254 tier: DEFINITIVE value: 1.4699999809265138 id: 816e5d79-94ff-4e08-9d17-e4320e5d56e2 parameters: buffer_distance: 8000 esun: BAND-1: 2025.2582011577194 BAND-2: 2099.9902298727557 BAND-3: 1926.2253415468974 BAND-4: 1609.495097636954 BAND-5: 979.8478528349294 BAND-6: 247.42519446941034 BAND-7: 84.20644008263902 BAND-8: 1811.9082534195404 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2023-01-06 00:57:53.518599Z atime: 2023-01-20 12:14:43Z ctime: 2023-01-11 20:46:17Z mtime: 2023-01-11 09:52:03Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/101_082/LC81010822023006/LC08_L1TP_101082_20230106_20230111_02_T1.tar system_information: hostname: gadi-cpu-clx-0529.gadi.nci.org.au runtime_id: eb2fb808-98bf-11ed-ab1e-00000190fe80 time_processed: 2023-01-20 12:42:37.023519Z uname: 'Linux gadi-cpu-clx-0529.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: 8.0 green: 255.0 red: 3.0 teal: 50.0 yellow: 4.0 error_message: no errors final_qa_count: 316 granule: LC81010822023006LGN00 ref_date: '2014-09-26T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/101/082/LC81010822014269LGN00_B6.TIF residual: abs: x: 0.52 xy: 0.64 y: 0.37 abs_iterative_mean: x: 0.25 xy: 0.32 y: 0.2 cep90: 0.67 iterative_mean: x: -0.06 xy: 0.07 y: 0.04 iterative_stddev: x: 0.4 xy: 0.49 y: 0.27 mean: x: 0.18 xy: 0.22 y: -0.12 stddev: x: 3.78 xy: 4.36 y: 2.17 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 79.0185182714664 cloud: 0.2920807511161692 cloud_shadow: 0.23735898014412868 snow: 0.0 water: 20.452041997273295 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 ...