--- 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: 0.08900678157806396 brdf: alpha_1: band_1: 0.10986946002136122 band_2: 0.10986946002136122 band_3: 0.27878754399383 band_4: 0.0769777572811099 band_5: 0.6177804809372099 band_6: 0.12183139719242264 band_7: 0.018824821508204977 band_8: 0.1775990456787577 alpha_2: band_1: 0.24950606511266535 band_2: 0.24950606511266535 band_3: 0.22588797106933323 band_4: 0.27128876387126516 band_5: 0.09428181217816886 band_6: 0.2027464155196458 band_7: 0.2555500672551476 band_8: 0.24845242370673204 id: - d0b78a14-56d3-519f-8530-f09dca4ec45d tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 8770d769-6332-5aaa-8105-f9329c878a9c tier: DEFINITIVE value: 0.256 water_vapour: id: - 3cbcfc6a-f306-5121-9c96-60288c145697 tier: DEFINITIVE value: 1.4699999809265138 id: c21b6831-4408-4084-bcc6-95e8b380ae08 parameters: buffer_distance: 8000 esun: BAND-1: 1916.9588825998394 BAND-2: 1987.6942641634344 BAND-3: 1823.2217918688416 BAND-4: 1523.4283456650578 BAND-5: 927.4510986165268 BAND-6: 234.19423324189623 BAND-7: 79.70356184345391 BAND-8: 1715.01758169606 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-08-21 01:55:25.970735Z atime: 2022-09-24 10:55:54Z ctime: 2022-09-23 21:53:49Z mtime: 2022-09-23 20:14:05Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/111_071/LC81110712022233/LC08_L1TP_111071_20220821_20220923_02_T1.tar system_information: hostname: gadi-cpu-clx-1692.gadi.nci.org.au runtime_id: 1be82c16-3c02-11ed-80a1-00000096fe80 time_processed: 2022-09-24 12:12:07.400026Z uname: 'Linux gadi-cpu-clx-1692.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: 6.0 green: 4.0 red: 0.0 teal: 14.0 yellow: 0.0 error_message: no errors final_qa_count: 9 granule: LC81110712022233LGN00 ref_date: '2014-06-28T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/111/071/LC81110712014179LGN00_B6.TIF residual: abs: x: 0.54 xy: 0.78 y: 0.56 abs_iterative_mean: x: 0.4 xy: 0.49 y: 0.28 cep90: 0.77 iterative_mean: x: -0.34 xy: 0.35 y: 0.09 iterative_stddev: x: 0.32 xy: 0.48 y: 0.36 mean: x: -0.26 xy: 0.26 y: 0.06 stddev: x: 0.56 xy: 0.86 y: 0.65 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 0.625535585056711 cloud: 0.2771401236315979 cloud_shadow: 0.22834677568245276 snow: 0.0 water: 98.86897751562924 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 ...