--- 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: - 3e541f52-5aa3-541a-a508-e57b8266f863 tier: AATSR_CMP_MONTH value: 0.08238263428211212 brdf: alpha_1: band_1: 0.3467057793020228 band_2: 0.3466981370666888 band_3: 0.35990006558218113 band_4: 0.2058114334424091 band_5: 0.3970500840177021 band_6: 0.18773579151879402 band_7: 0.08534496224431866 band_8: 0.28289471348310846 alpha_2: band_1: 0.18024374808623486 band_2: 0.18024678813504133 band_3: 0.18955469476667303 band_4: 0.19832341532490042 band_5: 0.1495986689009161 band_6: 0.1688141041790208 band_7: 0.19039682687126122 band_8: 0.1939221622220353 id: - b48d8e5b-f2cb-5d74-9705-2894bf6d54b6 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.292 water_vapour: id: - ff687801-72af-5a40-b4d6-cf092b7a1a3f tier: DEFINITIVE value: 3.3000000000000003 id: 1a18d19b-1fe4-4031-bf85-e07c84747375 parameters: buffer_distance: 8000 esun: BAND-1: 2011.2354470477444 BAND-2: 2085.450151759161 BAND-3: 1912.8883122329537 BAND-4: 1598.350432993373 BAND-5: 973.0634567210842 BAND-6: 245.71202429465865 BAND-7: 83.62340404392259 BAND-8: 1799.3628717659417 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-25 01:58:14.495118Z atime: 2023-01-04 10:32:33Z ctime: 2022-12-06 09:00:54Z mtime: 2022-12-05 21:23:16Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/111_078/LC81110782022329/LC08_L1TP_111078_20221125_20221205_02_T1.tar system_information: hostname: gadi-cpu-clx-2879.gadi.nci.org.au runtime_id: 0b0b830e-8c1e-11ed-9711-00000189fe80 time_processed: 2023-01-04 10:53:38.031644Z uname: 'Linux gadi-cpu-clx-2879.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: 267.0 red: 1.0 teal: 15.0 yellow: 0.0 error_message: no errors final_qa_count: 236 granule: LC81110782022329LGN00 ref_date: '2014-06-28T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/111/078/LC81110782014179LGN00_B6.TIF residual: abs: x: 0.12 xy: 0.21 y: 0.17 abs_iterative_mean: x: 0.08 xy: 0.15 y: 0.13 cep90: 0.3 iterative_mean: x: 0.01 xy: 0.12 y: 0.12 iterative_stddev: x: 0.1 xy: 0.15 y: 0.11 mean: x: 0.02 xy: 0.12 y: 0.12 stddev: x: 0.31 xy: 0.39 y: 0.24 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 92.21882217333123 cloud: 5.495822188701441 cloud_shadow: 2.1230627773553414 snow: 7.587209589763004e-05 water: 0.16221698851609745 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 ...