--- 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: 0.17673955857753754 brdf: alpha_1: band_1: 0.39661765933196613 band_2: 0.3966145226653633 band_3: 0.46814829977397976 band_4: 0.18049043161620454 band_5: 0.5299691124919527 band_6: 0.18763806249762402 band_7: 0.024487199551482403 band_8: 0.32434207470369647 alpha_2: band_1: 0.14643011815641246 band_2: 0.14643022288888788 band_3: 0.151533547707498 band_4: 0.18807404590037302 band_5: 0.11008220708209375 band_6: 0.16885659606099973 band_7: 0.2026965880444828 band_8: 0.16979677470441829 id: - 1da4cb03-67ec-52d1-86ea-a623ecb5eb5e tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.275 water_vapour: id: - 8c592628-7428-5389-b80a-392a33644e25 tier: DEFINITIVE value: 1.8899999618530274 id: a055fca0-35af-4b97-89e4-735eba5dde0d parameters: buffer_distance: 8000 esun: BAND-1: 1995.6870357536009 BAND-2: 2069.3280865145693 BAND-3: 1898.1001155390936 BAND-4: 1585.9943357696236 BAND-5: 965.540898422868 BAND-6: 243.81248144936015 BAND-7: 82.9769264535077 BAND-8: 1785.4522873153367 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-08 01:13:03.426381Z atime: 2022-11-19 10:43:32Z ctime: 2022-11-15 20:47:06Z mtime: 2022-11-15 09:23:25Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/104_073/LC81040732022312/LC08_L1TP_104073_20221108_20221115_02_T1.tar system_information: hostname: gadi-cpu-clx-2264.gadi.nci.org.au runtime_id: 8c9cdd52-67fa-11ed-b2a3-00000092fe80 time_processed: 2022-11-19 11:08:51.691409Z uname: 'Linux gadi-cpu-clx-2264.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: 1.0 green: 8.0 red: 0.0 teal: 6.0 yellow: 0.0 error_message: no errors final_qa_count: 8 granule: LC81040732022312LGN00 ref_date: '2014-03-23T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/104/073/LC81040732014082LGN00_B6.TIF residual: abs: x: 0.36 xy: 0.49 y: 0.33 abs_iterative_mean: x: 0.16 xy: 0.36 y: 0.32 cep90: 0.52 iterative_mean: x: -0.03 xy: 0.32 y: 0.32 iterative_stddev: x: 0.2 xy: 0.24 y: 0.13 mean: x: -0.02 xy: 0.28 y: 0.28 stddev: x: 0.52 xy: 0.59 y: 0.29 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.78987609793428 cloud: 0.18779814555030366 cloud_shadow: 0.022325756515417104 snow: 0.0 water: 0.0 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 ...