--- 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: 0.05668766051530838 brdf: alpha_1: band_1: 0.49158159286559333 band_2: 0.49158159286559333 band_3: 0.6099396338829846 band_4: 0.503552794407213 band_5: 0.7386410925192269 band_6: 0.5806611236319612 band_7: 0.5079938295723612 band_8: 0.5567672193713962 alpha_2: band_1: 0.21745901572363066 band_2: 0.21745901572363066 band_3: 0.1975105793182108 band_4: 0.22250001311699535 band_5: 0.09657957100272493 band_6: 0.13954900917875604 band_7: 0.19508560264036062 band_8: 0.20998410594768913 id: - aa7d60e4-ae5c-5fe2-91a5-b4f2336e469f tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.344 water_vapour: id: - 7fec7283-6dae-584d-a447-e7c3c50d3f6d tier: DEFINITIVE value: 0.7599999904632568 id: 7eb7f513-3574-46e7-bbd5-03dc3087ee80 parameters: buffer_distance: 8000 esun: BAND-1: 1975.3125574151968 BAND-2: 2048.201522275915 BAND-3: 1878.7221186911704 BAND-4: 1569.8030084631125 BAND-5: 955.6834226153296 BAND-6: 241.3233212730034 BAND-7: 82.12979318056802 BAND-8: 1767.2241859427602 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-19 00:04:01.013219Z atime: 2022-11-01 10:32:34Z ctime: 2022-11-01 09:20:20Z mtime: 2022-10-31 22:21:12Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/092_086/LC80920862022292/LC08_L1TP_092086_20221019_20221031_02_T1.tar system_information: hostname: gadi-cpu-clx-1476.gadi.nci.org.au runtime_id: 0bc3c888-59d3-11ed-a8b7-00000077fe80 time_processed: 2022-11-01 10:50:48.867219Z uname: 'Linux gadi-cpu-clx-1476.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: 11.0 green: 108.0 red: 2.0 teal: 32.0 yellow: 2.0 error_message: no errors final_qa_count: 123 granule: LC80920862022292LGN00 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: 0.35 xy: 0.47 y: 0.32 abs_iterative_mean: x: 0.16 xy: 0.25 y: 0.19 cep90: 0.52 iterative_mean: x: -0.07 xy: 0.15 y: 0.13 iterative_stddev: x: 0.22 xy: 0.29 y: 0.19 mean: x: -0.02 xy: 0.08 y: 0.08 stddev: x: 0.88 xy: 1.0 y: 0.48 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 94.32877376358736 cloud: 0.8705054573474236 cloud_shadow: 0.46655795839642084 snow: 0.0 water: 4.334162820668781 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 ...