--- 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: 0.0789247453212738 brdf: alpha_1: band_1: 0.10754883501218811 band_2: 0.10754839016394283 band_3: 0.2072813169913319 band_4: 0.08398759338490114 band_5: 0.4736503861246864 band_6: 0.09466530386261077 band_7: 0.03710817073530057 band_8: 0.14567996302715597 alpha_2: band_1: 0.2608056823331944 band_2: 0.26080563968561377 band_3: 0.24368842622798023 band_4: 0.27136580530943705 band_5: 0.14801122984629048 band_6: 0.22277970332143504 band_7: 0.26559958298545866 band_8: 0.2575278022711096 id: - 101ff3a9-23e8-5132-b3b4-cf4df9d406be tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.27 water_vapour: id: - 39837fc5-35ea-5306-af43-be729de272e2 tier: DEFINITIVE value: 3.4200000762939453 id: 785de4fb-f2aa-4401-8053-a1fe74b9e8ba parameters: buffer_distance: 8000 esun: BAND-1: 1961.340643221031 BAND-2: 2033.7138020404568 BAND-3: 1865.4331900943293 BAND-4: 1558.6986578630465 BAND-5: 948.9235829559024 BAND-6: 239.61637495310325 BAND-7: 81.54886971225085 BAND-8: 1754.724190523601 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-06 00:28:58.332374Z atime: 2022-10-24 10:34:57Z ctime: 2022-10-12 22:48:26Z mtime: 2022-10-12 20:55:50Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/097_071/LC80970712022279/LC08_L1TP_097071_20221006_20221012_02_T1.tar system_information: hostname: gadi-cpu-clx-1436.gadi.nci.org.au runtime_id: 41050f88-538a-11ed-ac7e-00000082fe80 time_processed: 2022-10-24 10:54:37.971278Z uname: 'Linux gadi-cpu-clx-1436.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: 10.0 green: 250.0 red: 2.0 teal: 38.0 yellow: 6.0 error_message: no errors final_qa_count: 296 granule: LC80970712022279LGN00 ref_date: '2013-07-25T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/097/071/LC80970712013206LGN00_B6.TIF residual: abs: x: 0.35 xy: 0.48 y: 0.33 abs_iterative_mean: x: 0.19 xy: 0.3 y: 0.23 cep90: 0.55 iterative_mean: x: -0.14 xy: 0.22 y: 0.17 iterative_stddev: x: 0.24 xy: 0.33 y: 0.23 mean: x: 0.01 xy: 0.09 y: 0.09 stddev: x: 1.6 xy: 1.92 y: 1.06 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 96.84086908803145 cloud: 2.1321466871622237 cloud_shadow: 1.0014326543525842 snow: 0.0 water: 0.025551570453738973 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 ...