--- 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: 0.07328669726848602 brdf: alpha_1: band_1: 0.24065106176532025 band_2: 0.24065129959805467 band_3: 0.30595056213990984 band_4: 0.17214261741966688 band_5: 0.3757705546210025 band_6: 0.19117063515750773 band_7: 0.09162341735288218 band_8: 0.2390396355051892 alpha_2: band_1: 0.21451201032537567 band_2: 0.21451167675580501 band_3: 0.2154340911487002 band_4: 0.22443083269448572 band_5: 0.17526764207313897 band_6: 0.19241131795600694 band_7: 0.21816094399738556 band_8: 0.2199288046907819 id: - c8f17d97-ec32-51b2-8d77-dd07114112c9 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 11d6a227-f723-5b6c-8e62-f85e958cc0ee tier: DEFINITIVE value: 0.26 water_vapour: id: - 39ab17b9-f322-5db0-bed2-7cba09eafa35 tier: DEFINITIVE value: 3.1899999618530277 id: 24c15924-18da-49d5-bf27-0c9ac7cd37cd parameters: buffer_distance: 8000 esun: BAND-1: 2026.0167973143205 BAND-2: 2100.777003161779 BAND-3: 1926.946596566319 BAND-4: 1610.0975111243206 BAND-5: 980.2148301219561 BAND-6: 247.51784078793747 BAND-7: 84.23798502624933 BAND-8: 1812.5869840499267 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2023-01-03 02:03:53.251314Z atime: 2023-01-20 12:14:21Z ctime: 2023-01-11 09:05:33Z mtime: 2023-01-11 04:54:25Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/112_077/LC81120772023003/LC08_L1TP_112077_20230103_20230111_02_T1.tar system_information: hostname: gadi-cpu-clx-1176.gadi.nci.org.au runtime_id: 21777dca-98bf-11ed-a280-00000088fe80 time_processed: 2023-01-20 12:36:58.591436Z uname: 'Linux gadi-cpu-clx-1176.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: 2.0 green: 363.0 red: 0.0 teal: 22.0 yellow: 1.0 error_message: no errors final_qa_count: 276 granule: LC81120772023003LGN00 ref_date: '2013-08-19T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/112/077/LC81120772013231LGN00_B6.TIF residual: abs: x: 0.11 xy: 0.23 y: 0.2 abs_iterative_mean: x: 0.08 xy: 0.15 y: 0.13 cep90: 0.26 iterative_mean: x: -0.05 xy: 0.1 y: 0.09 iterative_stddev: x: 0.08 xy: 0.15 y: 0.12 mean: x: -0.06 xy: 0.07 y: 0.04 stddev: x: 0.22 xy: 0.35 y: 0.27 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 86.37774047036265 cloud: 12.980888885250415 cloud_shadow: 0.6347601172806041 snow: 0.0 water: 0.006610527106323012 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 ...