--- 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: 0.068423792719841 brdf: alpha_1: band_1: 0.17431004462393773 band_2: 0.17431007870320678 band_3: 0.27634528072556425 band_4: 0.13766909151030177 band_5: 0.42556030247940124 band_6: 0.12697298863529566 band_7: 0.05333693699238533 band_8: 0.2069818492274758 alpha_2: band_1: 0.18615213510002968 band_2: 0.18615211016894503 band_3: 0.18258822920243525 band_4: 0.19624981621306062 band_5: 0.11683441396931118 band_6: 0.17211239660043592 band_7: 0.19360457889763735 band_8: 0.18942820182315878 id: - 417d4aff-99f7-5405-b0d9-7285f51ab619 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.306 water_vapour: id: - 39837fc5-35ea-5306-af43-be729de272e2 tier: DEFINITIVE value: 0.8199999809265137 id: e794f921-40d6-4b55-b7fe-b076800db835 parameters: buffer_distance: 8000 esun: BAND-1: 1961.3405837533066 BAND-2: 2033.7142256670918 BAND-3: 1865.4334525370962 BAND-4: 1558.6991689149686 BAND-5: 948.9236039736409 BAND-6: 239.61638460062596 BAND-7: 81.54887749174513 BAND-8: 1754.7242390209722 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-06 02:11:02.885174Z atime: 2022-10-24 10:37:54Z ctime: 2022-10-13 14:12:43Z mtime: 2022-10-13 12:14:25Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/113_079/LC81130792022279/LC08_L1TP_113079_20221006_20221012_02_T1.tar system_information: hostname: gadi-cpu-clx-1004.gadi.nci.org.au runtime_id: 1ecc7bae-538a-11ed-988b-0000007ffe80 time_processed: 2022-10-24 10:53:40.558512Z uname: 'Linux gadi-cpu-clx-1004.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: 291.0 red: 0.0 teal: 12.0 yellow: 0.0 error_message: no errors final_qa_count: 217 granule: LC81130792022279LGN00 ref_date: '2014-09-14T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/113/079/LC81130792014257LGN00_B6.TIF residual: abs: x: 0.12 xy: 0.23 y: 0.19 abs_iterative_mean: x: 0.08 xy: 0.19 y: 0.17 cep90: 0.29 iterative_mean: x: -0.03 xy: 0.17 y: 0.17 iterative_stddev: x: 0.09 xy: 0.12 y: 0.07 mean: x: -0.02 xy: 0.17 y: 0.17 stddev: x: 0.2 xy: 0.25 y: 0.15 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.17591184582179 cloud: 0.5600596014958172 cloud_shadow: 0.23321387400171292 snow: 0.0 water: 0.030814678680685034 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 ...