--- 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: - d19d0722-dc4f-53e7-8343-5a02b0fb53f0 tier: AATSR_CMP_MONTH value: 0.05194660648703575 brdf: alpha_1: band_1: 0.2564471204088584 band_2: 0.25644552620038574 band_3: 0.36512980303643494 band_4: 0.2958830623135855 band_5: 0.7570991517592407 band_6: 0.338979227949484 band_7: 0.10707296901262946 band_8: 0.33046356235572094 alpha_2: band_1: 0.22945078728520088 band_2: 0.22945092279858648 band_3: 0.22018503574017376 band_4: 0.2292279472524387 band_5: 0.07955315052035995 band_6: 0.172418639226247 band_7: 0.23238216619186453 band_8: 0.22471068490302043 id: - 82a6c7f4-5fb5-580b-b626-b7705d4bd9f9 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 8770d769-6332-5aaa-8105-f9329c878a9c tier: DEFINITIVE value: 0.281 water_vapour: id: - 3cbcfc6a-f306-5121-9c96-60288c145697 tier: DEFINITIVE value: 0.7699999809265137 id: deef0a68-50b2-46e3-8645-4515567f99ea parameters: buffer_distance: 8000 esun: BAND-1: 1916.9584670517104 BAND-2: 1987.6945526157767 BAND-3: 1823.2216837920803 BAND-4: 1523.4278688059792 BAND-5: 927.4509065467375 BAND-6: 234.1942163298633 BAND-7: 79.70354793927584 BAND-8: 1715.0175379577777 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-08-21 00:18:32.607224Z atime: 2022-09-24 11:02:13Z ctime: 2022-09-23 22:28:26Z mtime: 2022-09-23 20:12:01Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/095_076/LC80950762022233/LC08_L1TP_095076_20220821_20220923_02_T1.tar system_information: hostname: gadi-cpu-clx-2770.gadi.nci.org.au runtime_id: 6a54996e-3bff-11ed-812d-0000007efe80 time_processed: 2022-09-24 11:52:50.490151Z uname: 'Linux gadi-cpu-clx-2770.gadi.nci.org.au 4.18.0-372.13.1.el8.nci.x86_64 #1 SMP Mon Jul 4 08:46:44 AEST 2022 x86_64' gqa: colors: blue: 1.0 green: 260.0 red: 1.0 teal: 7.0 yellow: 1.0 error_message: no errors final_qa_count: 256 granule: LC80950762022233LGN00 ref_date: '2014-04-25T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/095/076/LC80950762014115LGN00_B6.TIF residual: abs: x: 0.14 xy: 0.21 y: 0.16 abs_iterative_mean: x: 0.1 xy: 0.16 y: 0.12 cep90: 0.3 iterative_mean: x: -0.07 xy: 0.13 y: 0.1 iterative_stddev: x: 0.11 xy: 0.15 y: 0.1 mean: x: -0.1 xy: 0.16 y: 0.12 stddev: x: 0.33 xy: 0.47 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: 99.96489900407082 cloud: 0.00842786601972155 cloud_shadow: 0.005874264277194694 snow: 0.0 water: 0.020798865632270076 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: 0.6.0 - 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: 0.27.7 ...