--- 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: - e9924d02-1de8-54ae-b747-f1bae8ae18b6 tier: AATSR_CMP_MONTH value: 0.0681949257850647 brdf: alpha_1: band_1: 0.14740955492611804 band_2: 0.14743211824124572 band_3: 0.4588860466505257 band_4: 0.0472912812053864 band_5: 0.6054649636496752 band_6: 0.06462868916721744 band_7: 0.007172474516707755 band_8: 0.25305080185086076 alpha_2: band_1: 0.24040263057506395 band_2: 0.24039857632575587 band_3: 0.20577934806195058 band_4: 0.2594701788971044 band_5: 0.13058840870073432 band_6: 0.22369835915782504 band_7: 0.23568128408305222 band_8: 0.2326251480234829 id: - acf8405f-21cb-58a2-a749-440a3787a911 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 11d6a227-f723-5b6c-8e62-f85e958cc0ee tier: DEFINITIVE value: 0.258 water_vapour: id: - 06e85fc7-65b1-5e3e-9021-112df25670e2 tier: DEFINITIVE value: 4.3900001525878904 id: e35cc1a8-441f-457d-b601-6cdc348e9690 parameters: buffer_distance: 8000 esun: BAND-1: 2019.4416895512613 BAND-2: 2093.9586025814524 BAND-3: 1920.6930087762878 BAND-4: 1604.8720872283443 BAND-5: 977.033680023676 BAND-6: 246.71455194749632 BAND-7: 83.96459993467535 BAND-8: 1806.7046657209778 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2023-01-29 01:01:15.023412Z atime: 2023-02-28 10:20:05Z ctime: 2023-02-27 20:50:46Z mtime: 2023-02-27 17:37:36Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/102_075/LC81020752023029/LC08_L1TP_102075_20230129_20230227_02_T1.tar system_information: hostname: gadi-cpu-clx-2764.gadi.nci.org.au runtime_id: 84901cf2-b753-11ed-890f-00000085fe80 time_processed: 2023-02-28 10:34:45.250385Z uname: 'Linux gadi-cpu-clx-2764.gadi.nci.org.au 4.18.0-425.3.1.el8.nci.x86_64 #1 SMP Mon Jan 9 11:39:52 AEDT 2023 x86_64' gqa: colors: blue: 2.0 green: 108.0 red: 1.0 teal: 11.0 yellow: 1.0 error_message: no errors final_qa_count: 104 granule: LC81020752023029LGN00 ref_date: '2015-02-08T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/102/075/LC81020752015039LGN00_B6.TIF residual: abs: x: 0.25 xy: 0.31 y: 0.18 abs_iterative_mean: x: 0.15 xy: 0.19 y: 0.12 cep90: 0.36 iterative_mean: x: -0.1 xy: 0.12 y: 0.07 iterative_stddev: x: 0.18 xy: 0.22 y: 0.13 mean: x: -0.11 xy: 0.12 y: 0.07 stddev: x: 0.71 xy: 0.76 y: 0.28 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 27.973693592461018 cloud: 68.68198822332226 cloud_shadow: 3.34421510306716 snow: 0.0 water: 0.00010308114955508947 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 ...