--- 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: 0.08419748395681381 brdf: alpha_1: band_1: 0.15990156067092093 band_2: 0.15990156067092093 band_3: 0.25439969080088953 band_4: 0.16186268148052532 band_5: 0.5198637894708712 band_6: 0.22322370761729443 band_7: 0.139279000225709 band_8: 0.20820434873072508 alpha_2: band_1: 0.22350215517312075 band_2: 0.22350215517312075 band_3: 0.21253170652227285 band_4: 0.22793712386431433 band_5: 0.13596483157843037 band_6: 0.17928463225219338 band_7: 0.20330724894303834 band_8: 0.22022745964502935 id: - 95e7cd79-5eb8-5c03-b1fe-4fe3119de500 - 6a2f7b25-93ca-5308-9048-fd84763ee758 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 11d6a227-f723-5b6c-8e62-f85e958cc0ee tier: DEFINITIVE value: 0.256 water_vapour: id: - 93121523-6c71-5a78-8c37-319584881b28 tier: DEFINITIVE value: 4.7 id: e5b57324-352f-4c16-97f0-369d904934ff parameters: buffer_distance: 8000 esun: BAND-1: 2024.2463898456185 BAND-2: 2098.9413799896856 BAND-3: 1925.2632619831097 BAND-4: 1608.690753161477 BAND-5: 979.3583120369824 BAND-6: 247.30156384423557 BAND-7: 84.16437493259413 BAND-8: 1811.0034083513826 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2023-01-10 00:29:57.088575Z atime: 2023-01-25 11:10:15Z ctime: 2023-01-25 09:43:26Z mtime: 2023-01-24 21:06:36Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/097_074/LC80970742023010/LC08_L1TP_097074_20230110_20230124_02_T1.tar system_information: hostname: gadi-cpu-clx-1642.gadi.nci.org.au runtime_id: fe523668-9ca2-11ed-aef1-00000098fe80 time_processed: 2023-01-25 11:25:38.356559Z uname: 'Linux gadi-cpu-clx-1642.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: 0.0 green: 40.0 red: 1.0 teal: 10.0 yellow: 1.0 error_message: no errors final_qa_count: 44 granule: LC80970742023010LGN00 ref_date: '2014-06-10T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/097/074/LC80970742014161LGN00_B6.TIF residual: abs: x: 0.36 xy: 0.46 y: 0.3 abs_iterative_mean: x: 0.19 xy: 0.29 y: 0.22 cep90: 0.59 iterative_mean: x: -0.11 xy: 0.22 y: 0.2 iterative_stddev: x: 0.23 xy: 0.29 y: 0.18 mean: x: -0.26 xy: 0.33 y: 0.2 stddev: x: 0.87 xy: 0.96 y: 0.41 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 55.197798769210884 cloud: 35.77853823533474 cloud_shadow: 9.021697803590186 snow: 0.0 water: 0.001965191864184192 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 ...