--- 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: 0.10108359903097153 brdf: alpha_1: band_1: 0.6020272171004596 band_2: 0.6020389179944243 band_3: 0.7036313524684744 band_4: 0.5850832866534419 band_5: 0.8797734236333133 band_6: 0.588593427821138 band_7: 0.45823093245190477 band_8: 0.6443435657278949 alpha_2: band_1: 0.20514990533468008 band_2: 0.20515096898120433 band_3: 0.19310207958959397 band_4: 0.20889485052279735 band_5: 0.07658473216324946 band_6: 0.16364213514133183 band_7: 0.2179720870729033 band_8: 0.20100505643846242 id: - a5ad65d6-1c5e-50b1-b1ae-ff2e5a896d2b tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.291 water_vapour: id: - 72fe3452-3010-553e-b6fb-3b729d3eb205 tier: DEFINITIVE value: 1.4500000000000002 id: 43a65934-0160-482c-98f5-6f2740a9dc2e parameters: buffer_distance: 8000 esun: BAND-1: 2018.3037364431818 BAND-2: 2092.7788043369987 BAND-3: 1919.6113223968691 BAND-4: 1603.9678558221797 BAND-5: 976.4831841331585 BAND-6: 246.57558078589264 BAND-7: 83.91730730727704 BAND-8: 1805.686603221879 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-06 00:04:00.788115Z atime: 2023-01-10 11:45:05Z ctime: 2023-01-09 21:35:46Z mtime: 2023-01-09 19:54:48Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/092_086/LC80920862022340/LC08_L1TP_092086_20221206_20230109_02_T1.tar system_information: hostname: gadi-cpu-clx-3002.gadi.nci.org.au runtime_id: c7fb6a50-90de-11ed-9ef0-00000083fe80 time_processed: 2023-01-10 12:03:23.057696Z uname: 'Linux gadi-cpu-clx-3002.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: 4.0 green: 30.0 red: 2.0 teal: 12.0 yellow: 1.0 error_message: no errors final_qa_count: 40 granule: LC80920862022340LGN00 ref_date: '2014-01-14T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/092/086/LC80920862014014LGN00_B6.TIF residual: abs: x: 0.56 xy: 0.69 y: 0.39 abs_iterative_mean: x: 0.25 xy: 0.33 y: 0.22 cep90: 0.78 iterative_mean: x: -0.2 xy: 0.2 y: 0.05 iterative_stddev: x: 0.33 xy: 0.42 y: 0.27 mean: x: -0.42 xy: 0.42 y: -0.04 stddev: x: 1.25 xy: 1.44 y: 0.71 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 42.06652778356275 cloud: 48.57847831133098 cloud_shadow: 6.788550388875375 snow: 0.00041236945365219886 water: 2.566031146777246 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 ...