--- 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: 0.09531958401203156 brdf: alpha_1: band_1: 0.16518367969612982 band_2: 0.16518251574931767 band_3: 0.4073548660473686 band_4: 0.0859964761770795 band_5: 0.6147483035902027 band_6: 0.16031414113035816 band_7: 0.03576692644368752 band_8: 0.2466668664371065 alpha_2: band_1: 0.20847493351914764 band_2: 0.2084751820806354 band_3: 0.177965985620257 band_4: 0.21816316906860367 band_5: 0.08897113049361519 band_6: 0.16468189955874787 band_7: 0.1891130058975478 band_8: 0.1980610076190238 id: - 2b98697a-9f64-5011-b209-17895c301e85 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 11d6a227-f723-5b6c-8e62-f85e958cc0ee tier: DEFINITIVE value: 0.258 water_vapour: id: - fe32b515-2ae4-56a0-947b-2b64b2a9f546 tier: DEFINITIVE value: 5.659999847412109 id: 29c0fed1-fd68-4ed1-83c2-95b6cef3fc53 parameters: buffer_distance: 8000 esun: BAND-1: 2018.9358097923773 BAND-2: 2093.4347185656707 BAND-3: 1920.2123391399675 BAND-4: 1604.4703528479074 BAND-5: 976.7889360276384 BAND-6: 246.6527731565028 BAND-7: 83.94357947949231 BAND-8: 1806.2518584640343 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2023-01-31 00:48:53.565093Z atime: 2023-02-11 10:18:12Z ctime: 2023-02-09 09:03:53Z mtime: 2023-02-08 21:39:00Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/100_075/LC81000752023031/LC08_L1TP_100075_20230131_20230208_02_T1.tar system_information: hostname: gadi-cpu-clx-1403.gadi.nci.org.au runtime_id: c8e0ec86-a9f9-11ed-9028-00000188fe80 time_processed: 2023-02-11 10:49:40.036073Z uname: 'Linux gadi-cpu-clx-1403.gadi.nci.org.au 4.18.0-425.3.1.el8.nci.x86_64 #1 SMP Mon Jan 9 11:39:52 AEDT 2023 x86_64' gqa: colors: blue: 1.0 green: 10.0 red: 0.0 teal: 5.0 yellow: 1.0 error_message: no errors final_qa_count: 10 granule: LC81000752023031LGN00 ref_date: '2015-02-26T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/100/075/LC81000752015057LGN00_B6.TIF residual: abs: x: 0.45 xy: 0.55 y: 0.32 abs_iterative_mean: x: 0.21 xy: 0.29 y: 0.21 cep90: 0.52 iterative_mean: x: -0.14 xy: 0.15 y: 0.07 iterative_stddev: x: 0.26 xy: 0.35 y: 0.23 mean: x: -0.31 xy: 0.32 y: 0.08 stddev: x: 0.84 xy: 0.92 y: 0.39 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 24.867703395406306 cloud: 72.90370976167067 cloud_shadow: 2.2263556526165518 snow: 0.0003085949271304512 water: 0.0019225953793444777 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 ...