--- 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: 0.08565666526556015 brdf: alpha_1: band_1: 0.16871738660482552 band_2: 0.16871830291653014 band_3: 0.5080044107530871 band_4: 0.12958260055944956 band_5: 0.6701265690846366 band_6: 0.17552705757829215 band_7: 0.030819920804438575 band_8: 0.318766525499573 alpha_2: band_1: 0.25471639414579045 band_2: 0.2547164492772873 band_3: 0.20603700131756375 band_4: 0.26181852028809455 band_5: 0.12739435557472584 band_6: 0.2182838086729144 band_7: 0.2561044508898972 band_8: 0.2339273294633732 id: - acf8405f-21cb-58a2-a749-440a3787a911 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 11d6a227-f723-5b6c-8e62-f85e958cc0ee tier: DEFINITIVE value: 0.26 water_vapour: id: - 06e85fc7-65b1-5e3e-9021-112df25670e2 tier: DEFINITIVE value: 4.3900001525878904 id: 912929b6-7802-4d48-8b43-be495861a558 parameters: buffer_distance: 8000 esun: BAND-1: 2019.4417605435733 BAND-2: 2093.9592044847236 BAND-3: 1920.6930970510607 BAND-4: 1604.8719360640987 BAND-5: 977.0336780854468 BAND-6: 246.71456939247332 BAND-7: 83.96461561353725 BAND-8: 1806.7046289845198 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2023-01-29 01:01:38.956811Z atime: 2023-02-28 10:19:58Z ctime: 2023-02-27 20:49:08Z mtime: 2023-02-27 17:37:56Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/102_076/LC81020762023029/LC08_L1TP_102076_20230129_20230227_02_T1.tar system_information: hostname: gadi-cpu-clx-2764.gadi.nci.org.au runtime_id: 908a5bda-b753-11ed-a585-00000085fe80 time_processed: 2023-02-28 10:35:05.348956Z uname: 'Linux gadi-cpu-clx-2764.gadi.nci.org.au 4.18.0-425.3.1.el8.nci.x86_64 #1 SMP Mon Jan 9 11:39:52 AEDT 2023 x86_64' gqa: colors: blue: 1.0 green: 34.0 red: 1.0 teal: 8.0 yellow: 0.0 error_message: no errors final_qa_count: 38 granule: LC81020762023029LGN00 ref_date: '2014-07-31T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/102/076/LC81020762014212LGN00_B6.TIF residual: abs: x: 0.31 xy: 0.43 y: 0.3 abs_iterative_mean: x: 0.16 xy: 0.27 y: 0.22 cep90: 0.52 iterative_mean: x: 0.02 xy: 0.17 y: 0.17 iterative_stddev: x: 0.22 xy: 0.3 y: 0.2 mean: x: -0.11 xy: 0.21 y: 0.18 stddev: x: 0.94 xy: 1.01 y: 0.38 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 10.732064957619428 cloud: 88.23614344275225 cloud_shadow: 1.031713089372199 snow: 2.4534455035532515e-06 water: 7.60568106101508e-05 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 ...