--- 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: 0.07762607932090759 brdf: alpha_1: band_1: 0.41867157832344293 band_2: 0.41867157832344293 band_3: 0.4445586719818764 band_4: 0.4154349156769599 band_5: 0.6859482427679093 band_6: 0.3398099142834592 band_7: 0.22300176104027172 band_8: 0.4300860280463181 alpha_2: band_1: 0.22421111468083305 band_2: 0.22421111468083305 band_3: 0.22705464189841834 band_4: 0.2320896224767378 band_5: 0.09634447962653758 band_6: 0.20291738789813435 band_7: 0.26551765616058537 band_8: 0.22955215600885598 id: - 4114b909-c147-5b4d-9aff-48948a15b0b8 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.284 water_vapour: id: - e66d3eab-e730-5747-8b40-ffad480a2cfc tier: DEFINITIVE value: 1.0699999809265137 id: 6de3a7ba-0510-4d0c-a587-05965abd4ae5 parameters: buffer_distance: 8000 esun: BAND-1: 2018.6200118493418 BAND-2: 2093.1066594529257 BAND-3: 1919.911826565187 BAND-4: 1604.2194817968502 BAND-5: 976.6361799040048 BAND-6: 246.61416333471632 BAND-7: 83.93044793194817 BAND-8: 1805.9696001492814 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-07 23:50:50.755376Z atime: 2022-12-28 15:12:50Z ctime: 2022-12-13 09:04:31Z mtime: 2022-12-13 02:53:37Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/090_084/LC80900842022341/LC08_L1TP_090084_20221207_20221213_02_T1.tar system_information: hostname: gadi-cpu-clx-1825.gadi.nci.org.au runtime_id: 13da4e92-86c5-11ed-bdd5-000001a3fe80 time_processed: 2022-12-28 15:34:11.805586Z uname: 'Linux gadi-cpu-clx-1825.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: 3.0 green: 135.0 red: 0.0 teal: 26.0 yellow: 5.0 error_message: no errors final_qa_count: 138 granule: LC80900842022341LGN00 ref_date: '2014-09-28T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/090/084/LC80900842014271LGN00_B6.TIF residual: abs: x: 0.23 xy: 0.36 y: 0.28 abs_iterative_mean: x: 0.14 xy: 0.23 y: 0.19 cep90: 0.47 iterative_mean: x: -0.09 xy: 0.18 y: 0.16 iterative_stddev: x: 0.15 xy: 0.23 y: 0.17 mean: x: -0.11 xy: 0.17 y: 0.12 stddev: x: 0.4 xy: 0.6 y: 0.45 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 82.66893336145606 cloud: 11.549041326929107 cloud_shadow: 2.191525547412499 snow: 0.0002170665210841346 water: 3.5902826976812614 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 ...