--- 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: - 677f1bd6-e11f-5d8e-acc6-3d5752adecee tier: AATSR_CMP_MONTH value: 0.11891239881515503 brdf: alpha_1: band_1: 0.640938034488631 band_2: 0.6409367634582308 band_3: 0.7369180636424475 band_4: 0.3852671280779364 band_5: 0.5979914701756394 band_6: 0.2874100474277336 band_7: 0.05321006634339507 band_8: 0.5610704813468413 alpha_2: band_1: 0.10354409924551493 band_2: 0.10354394957264117 band_3: 0.10658410913300957 band_4: 0.15039830854811223 band_5: 0.08901134514427857 band_6: 0.14373510163967979 band_7: 0.19627526139710794 band_8: 0.12849491671951258 id: - 25f25ee4-a48c-56cb-bf51-600173e78451 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.283 water_vapour: id: - 8ed8535c-9a8c-5712-9d23-e74537aeea2c tier: DEFINITIVE value: 2.9600000381469727 id: e7255dd8-b4da-47cd-a92d-241bb021c305 parameters: buffer_distance: 8000 esun: BAND-1: 1962.4151959577775 BAND-2: 2034.8284365028824 BAND-3: 1866.4554077460634 BAND-4: 1559.5527553963725 BAND-5: 949.4435877595922 BAND-6: 239.74767894371928 BAND-7: 81.59356201543162 BAND-8: 1755.685631525228 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-07 01:13:49.121467Z atime: 2022-10-24 10:20:33Z ctime: 2022-10-13 11:52:08Z mtime: 2022-10-13 10:16:05Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/104_075/LC81040752022280/LC08_L1TP_104075_20221007_20221013_02_T1.tar system_information: hostname: gadi-cpu-clx-1003.gadi.nci.org.au runtime_id: ef875b44-5388-11ed-9e23-0000018cfe80 time_processed: 2022-10-24 10:45:11.756054Z uname: 'Linux gadi-cpu-clx-1003.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: 2.0 green: 232.0 red: 1.0 teal: 13.0 yellow: 1.0 error_message: no errors final_qa_count: 229 granule: LC81040752022280LGN00 ref_date: '2015-03-10T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/104/075/LC81040752015069LGN00_B6.TIF residual: abs: x: 0.14 xy: 0.25 y: 0.2 abs_iterative_mean: x: 0.09 xy: 0.18 y: 0.15 cep90: 0.31 iterative_mean: x: -0.05 xy: 0.15 y: 0.14 iterative_stddev: x: 0.1 xy: 0.15 y: 0.12 mean: x: -0.06 xy: 0.16 y: 0.15 stddev: x: 0.29 xy: 0.56 y: 0.47 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 82.145274999345 cloud: 13.936493285060303 cloud_shadow: 3.810345056191867 snow: 0.0004534082687306203 water: 0.10743325113409051 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 ...