--- 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: - 3e541f52-5aa3-541a-a508-e57b8266f863 tier: AATSR_CMP_MONTH value: 0.06916877627372742 brdf: alpha_1: band_1: 0.3271735453398638 band_2: 0.3271735453398638 band_3: 0.5310896177223209 band_4: 0.20265239003598792 band_5: 0.5302995373810996 band_6: 0.2391626902167462 band_7: 0.08729608945493841 band_8: 0.36685264150214936 alpha_2: band_1: 0.17842618079785483 band_2: 0.17842618079785483 band_3: 0.16895280877263244 band_4: 0.20412896680583378 band_5: 0.1200069822498993 band_6: 0.1745873586420912 band_7: 0.20648216708629671 band_8: 0.1865456794452897 id: - 8a0f0b78-b67f-5158-995f-982eda528303 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.296 water_vapour: id: - 1598ff6b-3045-5baa-bb1a-4de49e01db06 tier: DEFINITIVE value: 1.2300000190734863 id: e3618e16-4bba-4589-bda8-dfdaddebcadf parameters: buffer_distance: 8000 esun: BAND-1: 1989.2847209454956 BAND-2: 2062.6890869885237 BAND-3: 1892.0113511457096 BAND-4: 1580.9063580662773 BAND-5: 962.4433673609735 BAND-6: 243.03029304438377 BAND-7: 82.71073351263166 BAND-8: 1779.7245886871265 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-01 01:09:17.472183Z atime: 2022-11-14 10:19:18Z ctime: 2022-11-08 21:46:46Z mtime: 2022-11-08 08:37:53Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/103_079/LC81030792022305/LC08_L1TP_103079_20221101_20221108_02_T1.tar system_information: hostname: gadi-cpu-clx-1415.gadi.nci.org.au runtime_id: d23c9650-6407-11ed-82af-0000018bfe80 time_processed: 2022-11-14 10:33:47.307474Z uname: 'Linux gadi-cpu-clx-1415.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: 10.0 red: 0.0 teal: 2.0 yellow: 2.0 error_message: no errors final_qa_count: 11 granule: LC81030792022305LGN00 ref_date: '2014-10-10T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/103/079/LC81030792014283LGN00_B6.TIF residual: abs: x: 0.51 xy: 0.69 y: 0.46 abs_iterative_mean: x: 0.12 xy: 0.19 y: 0.14 cep90: 0.4 iterative_mean: x: 0.05 xy: 0.07 y: 0.05 iterative_stddev: x: 0.16 xy: 0.25 y: 0.19 mean: x: -0.38 xy: 0.47 y: 0.28 stddev: x: 1.01 xy: 1.31 y: 0.84 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 25.966022075116523 cloud: 68.42424663866542 cloud_shadow: 5.606996729024436 snow: 0.001447994506817596 water: 0.0012865626868007695 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 ...