--- 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: 0.08957389742136002 brdf: alpha_1: band_1: 0.3022681275938927 band_2: 0.3022732748398513 band_3: 0.5283533208228993 band_4: 0.29561181129419684 band_5: 0.8012295855444741 band_6: 0.2771157491038117 band_7: 0.13875427286616487 band_8: 0.4121141247176692 alpha_2: band_1: 0.2532302876087931 band_2: 0.2532299853023221 band_3: 0.22283548518461235 band_4: 0.25759184335379715 band_5: 0.11744693069657769 band_6: 0.20826079319521454 band_7: 0.2564665463379969 band_8: 0.24019201032632265 id: - 8dc1ff73-5223-5d54-9042-cabbeabca882 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.264 water_vapour: id: - 314ac131-3b8f-5927-ba64-fe0de981fe7c tier: DEFINITIVE value: 2.510000038146973 id: 5f601e47-564c-410c-b9f4-57898a32fd54 parameters: buffer_distance: 8000 esun: BAND-1: 2022.72934104694 BAND-2: 2097.368017475185 BAND-3: 1923.8199891470804 BAND-4: 1607.4854309157706 BAND-5: 978.6243027854417 BAND-6: 247.11621763911089 BAND-7: 84.10130076640522 BAND-8: 1809.6458303000577 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-20 00:11:50.684370Z atime: 2023-01-05 18:15:38Z ctime: 2023-01-04 10:39:50Z mtime: 2023-01-04 02:37:09Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/094_075/LC80940752022354/LC08_L1TP_094075_20221220_20221227_02_T1.tar system_information: hostname: gadi-cpu-clx-1284.gadi.nci.org.au runtime_id: 1e62edf2-8d27-11ed-bee2-0000008ffe80 time_processed: 2023-01-05 18:31:07.137920Z uname: 'Linux gadi-cpu-clx-1284.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: 1.0 green: 83.0 red: 0.0 teal: 14.0 yellow: 0.0 error_message: no errors final_qa_count: 69 granule: LC80940752022354LGN00 ref_date: '2014-05-04T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/094/075/LC80940752014124LGN00_B6.TIF residual: abs: x: 0.2 xy: 0.29 y: 0.2 abs_iterative_mean: x: 0.14 xy: 0.21 y: 0.15 cep90: 0.33 iterative_mean: x: -0.11 xy: 0.19 y: 0.15 iterative_stddev: x: 0.11 xy: 0.15 y: 0.1 mean: x: -0.09 xy: 0.17 y: 0.14 stddev: x: 0.27 xy: 0.33 y: 0.2 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 62.36223224187653 cloud: 32.478328414227256 cloud_shadow: 4.987251199827517 snow: 0.0 water: 0.172188144068695 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 ...