--- 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: 0.10165439546108246 brdf: alpha_1: band_1: 0.30779743637209717 band_2: 0.30779632710196175 band_3: 0.43809892869455347 band_4: 0.2871868820212603 band_5: 0.7325955100619801 band_6: 0.18527806394083002 band_7: 0.15055952918881396 band_8: 0.3626059839160157 alpha_2: band_1: 0.22606995241257136 band_2: 0.2260701265539057 band_3: 0.20450360739019127 band_4: 0.23153339583159332 band_5: 0.1171737841259616 band_6: 0.20789968885286098 band_7: 0.247886590543522 band_8: 0.21802034334593554 id: - 5ec10415-67da-51ed-b1a6-6399b0463ed7 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.273 water_vapour: id: - 1604a2da-2b8d-5aa4-b844-54a6bcf37af8 tier: DEFINITIVE value: 1.7000000000000002 id: 43ae192f-2669-4e50-8f2f-4049a90b860b parameters: buffer_distance: 8000 esun: BAND-1: 1978.536876385715 BAND-2: 2051.545166172383 BAND-3: 1881.7890297778513 BAND-4: 1572.3646108022554 BAND-5: 957.243387564473 BAND-6: 241.71727222442212 BAND-7: 82.26385801259764 BAND-8: 1770.108834672006 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-22 00:29:45.640929Z atime: 2022-11-02 11:50:00Z ctime: 2022-11-01 09:06:41Z mtime: 2022-11-01 06:38:32Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/097_073/LC80970732022295/LC08_L1TP_097073_20221022_20221101_02_T1.tar system_information: hostname: gadi-cpu-clx-0107.gadi.nci.org.au runtime_id: 615c2b80-5aa7-11ed-b313-00000193fe80 time_processed: 2022-11-02 12:10:45.775606Z uname: 'Linux gadi-cpu-clx-0107.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: 6.0 green: 269.0 red: 2.0 teal: 32.0 yellow: 4.0 error_message: no errors final_qa_count: 280 granule: LC80970732022295LGN00 ref_date: '2013-08-26T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/097/073/LC80970732013238LGN00_B6.TIF residual: abs: x: 0.22 xy: 0.35 y: 0.28 abs_iterative_mean: x: 0.15 xy: 0.25 y: 0.19 cep90: 0.46 iterative_mean: x: -0.13 xy: 0.21 y: 0.16 iterative_stddev: x: 0.14 xy: 0.23 y: 0.18 mean: x: -0.16 xy: 0.28 y: 0.23 stddev: x: 0.37 xy: 0.73 y: 0.63 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 95.85307148532958 cloud: 2.560355578765202 cloud_shadow: 1.5243019886947862 snow: 0.0 water: 0.062270947210433344 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 ...