--- 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: 0.08679994940757751 brdf: alpha_1: band_1: 0.3635641352600434 band_2: 0.3635641352600434 band_3: 0.5019806386065571 band_4: 0.19682602233972551 band_5: 0.6953197030731982 band_6: 0.2366714418044536 band_7: 0.062291393271573355 band_8: 0.3494056285914456 alpha_2: band_1: 0.18827042758996604 band_2: 0.18827042758996604 band_3: 0.182543689349764 band_4: 0.22185382045455485 band_5: 0.10329075161419791 band_6: 0.18283700999570354 band_7: 0.22129572892666194 band_8: 0.20219716584113137 id: - dfc00716-b8d8-55ea-8cdb-75d4ab043ad4 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.257 water_vapour: id: - 87e3dff9-b056-5b6e-af5c-d20f20411bac tier: DEFINITIVE value: 1.7600000381469727 id: 6337e33c-02d6-4669-be9c-79ed9a59655f parameters: buffer_distance: 8000 esun: BAND-1: 2021.781081268637 BAND-2: 2096.3848957134437 BAND-3: 1922.91809348956 BAND-4: 1606.7312714366428 BAND-5: 978.1655199842138 BAND-6: 247.00035027867716 BAND-7: 84.06186771929941 BAND-8: 1808.7973458853473 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-17 01:19:04.390262Z atime: 2023-01-04 10:33:04Z ctime: 2023-01-04 09:48:38Z mtime: 2023-01-04 04:52:17Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/105_073/LC81050732022351/LC08_L1TP_105073_20221217_20221227_02_T1.tar system_information: hostname: gadi-cpu-clx-0396.gadi.nci.org.au runtime_id: 12aa279a-8c1f-11ed-bed7-0000008afe80 time_processed: 2023-01-04 11:01:00.333719Z uname: 'Linux gadi-cpu-clx-0396.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: 0.0 green: 2.0 red: 0.0 teal: 0.0 yellow: 0.0 error_message: no errors final_qa_count: 2 granule: LC81050732022351LGN00 ref_date: '2014-06-02T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/105/073/LC81050732014153LGN00_B6.TIF residual: abs: x: 0.13 xy: 0.27 y: 0.23 abs_iterative_mean: x: 0.13 xy: 0.27 y: 0.23 cep90: 0.34 iterative_mean: x: 0.03 xy: 0.24 y: 0.23 iterative_stddev: x: 0.19 xy: 0.22 y: 0.12 mean: x: 0.03 xy: 0.24 y: 0.23 stddev: x: 0.19 xy: 0.22 y: 0.12 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 11.960086009400523 cloud: 86.20964510283588 cloud_shadow: 1.8213327951383333 snow: 0.008904178008732675 water: 3.191461651875511e-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 ...