--- 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: 0.07725749164819717 brdf: alpha_1: band_1: 0.4095058519271737 band_2: 0.4095049648007916 band_3: 0.4534202437268066 band_4: 0.23738728782525884 band_5: 0.41315109713503423 band_6: 0.22274462601949685 band_7: 0.1169428923202498 band_8: 0.3454616955961243 alpha_2: band_1: 0.18172657838452208 band_2: 0.18172672641351334 band_3: 0.19214390657787583 band_4: 0.211547174585189 band_5: 0.1600861224537545 band_6: 0.18546457988837656 band_7: 0.20804660014687704 band_8: 0.20183416673501775 id: - 210ca74f-5eea-53f5-810d-369d0e33e032 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.268 water_vapour: id: - ad9cacdd-6ecf-5443-82b6-5d458f300ba5 tier: DEFINITIVE value: 2.1700000762939453 id: 64a0feed-1b8f-428d-a71c-3d08e128b632 parameters: buffer_distance: 8000 esun: BAND-1: 2022.413176966246 BAND-2: 2097.040052810337 BAND-3: 1923.5193990257567 BAND-4: 1607.2341248629787 BAND-5: 978.471407945817 BAND-6: 247.07759107663952 BAND-7: 84.08814806308528 BAND-8: 1809.3630634875767 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-19 01:07:52.859825Z atime: 2023-01-10 11:58:35Z ctime: 2023-01-09 21:31:59Z mtime: 2023-01-09 19:50:59Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/103_076/LC81030762022353/LC08_L1TP_103076_20221219_20230109_02_T1.tar system_information: hostname: gadi-cpu-clx-2960.gadi.nci.org.au runtime_id: d25b3c44-90e0-11ed-b820-00000081fe80 time_processed: 2023-01-10 12:17:59.459033Z uname: 'Linux gadi-cpu-clx-2960.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: 4.0 green: 171.0 red: 0.0 teal: 22.0 yellow: 1.0 error_message: no errors final_qa_count: 143 granule: LC81030762022353LGN00 ref_date: '2014-07-06T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/103/076/LC81030762014187LGN00_B6.TIF residual: abs: x: 0.15 xy: 0.29 y: 0.25 abs_iterative_mean: x: 0.09 xy: 0.19 y: 0.17 cep90: 0.37 iterative_mean: x: -0.05 xy: 0.16 y: 0.15 iterative_stddev: x: 0.1 xy: 0.17 y: 0.14 mean: x: -0.02 xy: 0.11 y: 0.11 stddev: x: 0.25 xy: 0.42 y: 0.33 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 91.01159079263023 cloud: 6.502652932394348 cloud_shadow: 2.335440435215834 snow: 0.0 water: 0.1503158397595888 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 ...