--- 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: - 2c01cbd7-acc2-56f6-b2fa-075eaee4366a tier: AATSR_CMP_MONTH value: 0.04874495416879654 brdf: alpha_1: band_1: 0.4355409912595125 band_2: 0.4355409912595125 band_3: 0.49087891109457493 band_4: 0.4273403145449869 band_5: 0.841212094942053 band_6: 0.4999796454001318 band_7: 0.2659828079810587 band_8: 0.4591525501953688 alpha_2: band_1: 0.24576903933854585 band_2: 0.24576903933854585 band_3: 0.24003665899760562 band_4: 0.24744919872896384 band_5: 0.10486964390121399 band_6: 0.20600584290708576 band_7: 0.2921491309707003 band_8: 0.24374030093453586 id: - 5f5d7b86-0e77-5105-b9ad-f68a27e4c586 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.291 water_vapour: id: - e373dbb6-a798-526d-bfdd-030a547c8497 tier: DEFINITIVE value: 2.6799999237060548 id: 44acfe5d-67bf-453a-9c20-274e5b1da2bd parameters: buffer_distance: 8000 esun: BAND-1: 2025.8903720837977 BAND-2: 2100.645603193566 BAND-3: 1926.827080049574 BAND-4: 1609.9973221304954 BAND-5: 980.1536957711633 BAND-6: 247.50242600284926 BAND-7: 84.2327432819068 BAND-8: 1812.4740567532979 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-30 23:57:41.651630Z atime: 2023-01-11 10:26:33Z ctime: 2023-01-10 20:49:33Z mtime: 2023-01-10 17:25:10Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/091_086/LC80910862022364/LC08_L1TP_091086_20221230_20230110_02_T1.tar system_information: hostname: gadi-cpu-clx-1080.gadi.nci.org.au runtime_id: e4cfb65e-919c-11ed-b486-0000007dfe80 time_processed: 2023-01-11 10:44:15.808236Z uname: 'Linux gadi-cpu-clx-1080.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: 87.0 red: 3.0 teal: 11.0 yellow: 1.0 error_message: no errors final_qa_count: 96 granule: LC80910862022364LGN00 ref_date: '2014-02-07T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/091/086/LC80910862014038LGN00_B6.TIF residual: abs: x: 0.32 xy: 0.44 y: 0.3 abs_iterative_mean: x: 0.16 xy: 0.24 y: 0.18 cep90: 0.46 iterative_mean: x: -0.07 xy: 0.14 y: 0.12 iterative_stddev: x: 0.21 xy: 0.29 y: 0.2 mean: x: -0.04 xy: 0.16 y: 0.16 stddev: x: 0.85 xy: 1.08 y: 0.66 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 43.13389353855481 cloud: 52.63171253569618 cloud_shadow: 2.6350634190676248 snow: 0.004322224654643024 water: 1.5950082820267453 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 ...