--- 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: 0.07251634448766708 brdf: alpha_1: band_1: 0.5097600245398414 band_2: 0.5097600245398414 band_3: 0.6383310049699558 band_4: 0.30601718362218516 band_5: 0.49934273727142714 band_6: 0.3348048474950873 band_7: 0.13673341757321747 band_8: 0.4721586655036075 alpha_2: band_1: 0.15067995330992814 band_2: 0.15067995330992814 band_3: 0.1488942247916486 band_4: 0.1846319960389097 band_5: 0.127880273757629 band_6: 0.14766150746280307 band_7: 0.1886980368112198 band_8: 0.16676887237194343 id: - 939ea3cc-30d3-5acb-89ab-49f7865de308 - 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: 0.292 water_vapour: id: - 1598ff6b-3045-5baa-bb1a-4de49e01db06 tier: DEFINITIVE value: 0.7400000095367432 id: 297c297c-0a61-4072-9fab-e01e0ae13647 parameters: buffer_distance: 8000 esun: BAND-1: 1989.2846830062874 BAND-2: 2062.68953776894 BAND-3: 1892.0111038723492 BAND-4: 1580.9066997577086 BAND-5: 962.4433210564679 BAND-6: 243.03029650907632 BAND-7: 82.71073900913065 BAND-8: 1779.7244236533031 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-01 01:08:53.526076Z atime: 2022-11-14 10:19:31Z ctime: 2022-11-08 21:51:19Z mtime: 2022-11-08 08:37:20Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/103_078/LC81030782022305/LC08_L1TP_103078_20221101_20221108_02_T1.tar system_information: hostname: gadi-cpu-clx-1415.gadi.nci.org.au runtime_id: cc870d8a-6407-11ed-bae4-0000018bfe80 time_processed: 2022-11-14 10:33:37.727548Z 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: 4.0 green: 201.0 red: 0.0 teal: 10.0 yellow: 0.0 error_message: no errors final_qa_count: 140 granule: LC81030782022305LGN00 ref_date: '2014-08-23T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/103/078/LC81030782014235LGN00_B6.TIF residual: abs: x: 0.14 xy: 0.22 y: 0.17 abs_iterative_mean: x: 0.08 xy: 0.13 y: 0.1 cep90: 0.26 iterative_mean: x: -0.04 xy: 0.08 y: 0.07 iterative_stddev: x: 0.09 xy: 0.14 y: 0.1 mean: x: -0.05 xy: 0.07 y: 0.05 stddev: x: 0.2 xy: 0.31 y: 0.24 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 89.01279631020846 cloud: 8.903197524156523 cloud_shadow: 2.050589813296528 snow: 0.0 water: 0.033416352338496394 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 ...