--- 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: 0.1020951196551323 brdf: alpha_1: band_1: 0.09407338892127984 band_2: 0.09407133123979708 band_3: 0.3135678162604029 band_4: 0.0570102040086943 band_5: 0.3558369682930998 band_6: 0.1126231926029862 band_7: 0.011920903635767564 band_8: 0.18528831503857912 alpha_2: band_1: 0.20176048484935286 band_2: 0.20176084653652276 band_3: 0.18690362936127564 band_4: 0.212091799444961 band_5: 0.1397058435759008 band_6: 0.18029423402281283 band_7: 0.20394765962693825 band_8: 0.19950079228625453 id: - 55b9b584-422a-5c30-9451-26447fc3e362 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.275 water_vapour: id: - e966057a-8837-56b6-8726-2900568690dc tier: DEFINITIVE value: 1.5699999809265137 id: 0877d0cf-cacc-476f-98b5-18fe274ca087 parameters: buffer_distance: 8000 esun: BAND-1: 2017.35538385152 BAND-2: 2091.7960697945714 BAND-3: 1918.7090134430553 BAND-4: 1603.2140010454943 BAND-5: 976.0243416219524 BAND-6: 246.45966729142788 BAND-7: 83.87786122348474 BAND-8: 1804.838118649576 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-03 01:09:36.435088Z atime: 2022-12-28 14:52:12Z ctime: 2022-12-12 20:59:07Z mtime: 2022-12-12 18:37:36Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/103_080/LC81030802022337/LC08_L1TP_103080_20221203_20221212_02_T1.tar system_information: hostname: gadi-cpu-clx-1645.gadi.nci.org.au runtime_id: 4bf1f378-86c2-11ed-9792-0000018bfe80 time_processed: 2022-12-28 15:14:17.425738Z uname: 'Linux gadi-cpu-clx-1645.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: 5.0 green: 105.0 red: 0.0 teal: 49.0 yellow: 0.0 error_message: no errors final_qa_count: 90 granule: LC81030802022337LGN00 ref_date: '2014-08-07T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/103/080/LC81030802014219LGN00_B6.TIF residual: abs: x: 0.22 xy: 0.37 y: 0.3 abs_iterative_mean: x: 0.14 xy: 0.22 y: 0.17 cep90: 0.42 iterative_mean: x: -0.12 xy: 0.13 y: -0.03 iterative_stddev: x: 0.13 xy: 0.24 y: 0.2 mean: x: -0.16 xy: 0.17 y: -0.06 stddev: x: 0.29 xy: 0.47 y: 0.37 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.98749227222939 cloud: 0.00725521569802731 cloud_shadow: 0.005096012643980086 snow: 0.0 water: 0.00015649942860591432 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 ...