--- 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: 0.08159598708152771 brdf: alpha_1: band_1: 0.1789959408273044 band_2: 0.1789954195283727 band_3: 0.2389567733750304 band_4: 0.1602566206729912 band_5: 0.35150783458557255 band_6: 0.17687836483123137 band_7: 0.09543462199406749 band_8: 0.19958651999767285 alpha_2: band_1: 0.23759003689916658 band_2: 0.2375899474199656 band_3: 0.23699531528581574 band_4: 0.23741854355192887 band_5: 0.17822649211141628 band_6: 0.19329232577509206 band_7: 0.2171968892634713 band_8: 0.23720466623142872 id: - 8c746f59-726a-550c-9431-485e56dbe0ea 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: - 75ca991e-37b3-5319-b4e2-5e742886a075 tier: DEFINITIVE value: 1.8799999237060547 id: 7795184c-5a57-4847-bd13-ab50d1e13b72 parameters: buffer_distance: 8000 esun: BAND-1: 2023.4880090219722 BAND-2: 2098.1548462276937 BAND-3: 1924.541826827497 BAND-4: 1608.088357367822 BAND-5: 978.9912753368264 BAND-6: 247.20889634854547 BAND-7: 84.13283642691417 BAND-8: 1810.3245123866197 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2023-01-13 01:04:00.704174Z atime: 2023-01-25 10:48:53Z ctime: 2023-01-25 09:46:39Z mtime: 2023-01-25 02:52:05Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/102_082/LC81020822023013/LC08_L1TP_102082_20230113_20230125_02_T1.tar system_information: hostname: gadi-cpu-clx-1904.gadi.nci.org.au runtime_id: c9776362-9c9f-11ed-895b-00000097fe80 time_processed: 2023-01-25 11:02:41.210935Z uname: 'Linux gadi-cpu-clx-1904.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: 4.0 green: 219.0 red: 0.0 teal: 23.0 yellow: 2.0 error_message: no errors final_qa_count: 185 granule: LC81020822023013LGN00 ref_date: '2014-07-31T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/102/082/LC81020822014212LGN00_B6.TIF residual: abs: x: 0.17 xy: 0.29 y: 0.23 abs_iterative_mean: x: 0.1 xy: 0.19 y: 0.17 cep90: 0.35 iterative_mean: x: -0.07 xy: 0.16 y: 0.15 iterative_stddev: x: 0.1 xy: 0.17 y: 0.13 mean: x: -0.11 xy: 0.15 y: 0.1 stddev: x: 0.39 xy: 0.48 y: 0.28 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 54.257636088612536 cloud: 0.4160284342045986 cloud_shadow: 0.2871783817057956 snow: 0.0 water: 45.03915709547707 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 ...