--- 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: - 7855981a-e7f4-5626-8b80-9ca6f03ed668 tier: AATSR_CMP_MONTH value: 0.06922546774148941 brdf: alpha_1: band_1: 0.4276748037887541 band_2: 0.42767593377402247 band_3: 0.5723970181166802 band_4: 0.3130853466302284 band_5: 0.5572287056352101 band_6: 0.2609397281373095 band_7: 0.07082455074502574 band_8: 0.4427540799627572 alpha_2: band_1: 0.14224070251113735 band_2: 0.14224055530534196 band_3: 0.13193841764736325 band_4: 0.16622516651102265 band_5: 0.09751919974652257 band_6: 0.15568304145529657 band_7: 0.20022791617885355 band_8: 0.14908655714369196 id: - 6a9151cd-8642-5c67-bc97-3fa2965e2ceb tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 8d1a0236-36ea-52b5-ad07-386919ce9935 tier: DEFINITIVE value: 0.273 water_vapour: id: - 6791371e-57b4-5500-a28c-3bdddbad0a14 tier: DEFINITIVE value: 1.5800000190734864 id: c2e76178-59d3-4bc0-82ac-6e8043a75341 parameters: buffer_distance: 8000 esun: BAND-1: 1948.6498680025966 BAND-2: 2020.5551588961464 BAND-3: 1853.362981698551 BAND-4: 1548.613484992522 BAND-5: 942.7836603273366 BAND-6: 238.06594711441355 BAND-7: 81.02120407024371 BAND-8: 1743.3702071977002 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-09-24 01:43:59.082571Z atime: 2022-10-06 10:32:25Z ctime: 2022-09-29 21:01:22Z mtime: 2022-09-29 20:39:34Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/109_073/LC81090732022267/LC08_L1TP_109073_20220924_20220929_02_T1.tar system_information: hostname: gadi-cpu-clx-1897.gadi.nci.org.au runtime_id: a8acf378-4564-11ed-98ed-0000018dfe80 time_processed: 2022-10-06 10:50:14.726207Z uname: 'Linux gadi-cpu-clx-1897.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: 10.0 green: 139.0 red: 0.0 teal: 29.0 yellow: 5.0 error_message: no errors final_qa_count: 150 granule: LC81090732022267LGN00 ref_date: '2014-04-11T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/109/073/LC81090732014101LGN00_B6.TIF residual: abs: x: 0.24 xy: 0.4 y: 0.33 abs_iterative_mean: x: 0.12 xy: 0.25 y: 0.22 cep90: 0.51 iterative_mean: x: -0.04 xy: 0.16 y: 0.16 iterative_stddev: x: 0.15 xy: 0.27 y: 0.22 mean: x: -0.05 xy: 0.18 y: 0.17 stddev: x: 0.42 xy: 0.72 y: 0.58 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.97580951485216 cloud: 0.0001963513404856927 cloud_shadow: 0.0001963513404856927 snow: 0.0 water: 0.023797782466865956 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 ...