--- 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: - 2c01cbd7-acc2-56f6-b2fa-075eaee4366a tier: AATSR_CMP_MONTH value: 0.1453494280576706 brdf: alpha_1: band_1: 0.40729466960048766 band_2: 0.4072934541042255 band_3: 0.46043161989387205 band_4: 0.20243891972512051 band_5: 0.36839638952133463 band_6: 0.15544717688034212 band_7: 0.03618046690203123 band_8: 0.33142851906733706 alpha_2: band_1: 0.16300651554653006 band_2: 0.1630060312115319 band_3: 0.17336774407910063 band_4: 0.19172529691379658 band_5: 0.14716705794246476 band_6: 0.16773750630725168 band_7: 0.19427003603977724 band_8: 0.1825385651470654 id: - 9c7bbd29-9367-5ca1-9334-e7352e275806 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 471e3c03-1c60-5329-a764-85d6b1e63c78 tier: DEFINITIVE value: 0.264 water_vapour: id: - 3fc02ce4-6d26-5ff3-a9ae-4d85284073bc tier: DEFINITIVE value: 1.1199999809265138 id: e0821986-5c89-4409-a363-5fc66bad25e7 parameters: buffer_distance: 8000 esun: BAND-1: 2017.9878238940748 BAND-2: 2092.451277646144 BAND-3: 1919.31068312191 BAND-4: 1603.7172380007194 BAND-5: 976.330247399083 BAND-6: 246.5369444234946 BAND-7: 83.90414884587442 BAND-8: 1805.403709142407 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-12-05 00:55:14.864760Z atime: 2022-12-28 14:53:22Z ctime: 2022-12-13 08:53:42Z mtime: 2022-12-12 23:21:16Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/101_075/LC81010752022339/LC08_L1TP_101075_20221205_20221212_02_T1.tar system_information: hostname: gadi-cpu-clx-1826.gadi.nci.org.au runtime_id: a4f28eec-86c2-11ed-9e88-0000007dfe80 time_processed: 2022-12-28 15:16:46.744050Z uname: 'Linux gadi-cpu-clx-1826.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: 1.0 green: 255.0 red: 1.0 teal: 14.0 yellow: 7.0 error_message: no errors final_qa_count: 268 granule: LC81010752022339LGN00 ref_date: '2015-02-17T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/101/075/LC81010752015048LGN00_B6.TIF residual: abs: x: 0.29 xy: 0.38 y: 0.24 abs_iterative_mean: x: 0.14 xy: 0.23 y: 0.18 cep90: 0.45 iterative_mean: x: 0.0 xy: 0.15 y: 0.15 iterative_stddev: x: 0.19 xy: 0.25 y: 0.15 mean: x: -0.05 xy: 0.12 y: 0.11 stddev: x: 1.73 xy: 1.79 y: 0.46 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 99.99988222170498 cloud: 0.0 cloud_shadow: 0.0 snow: 0.0 water: 0.00011777829502079007 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 ...