--- 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: 0.1633680760860443 brdf: alpha_1: band_1: 0.4958731241930362 band_2: 0.4958731241930362 band_3: 0.5884085827656472 band_4: 0.37491372398494527 band_5: 0.7714596675828638 band_6: 0.2824244799634715 band_7: 0.22205950752134668 band_8: 0.48360834967552013 alpha_2: band_1: 0.18006204660973613 band_2: 0.18006204660973613 band_3: 0.18283954817486173 band_4: 0.21274360046953203 band_5: 0.1120964191870385 band_6: 0.1862947393596533 band_7: 0.2315618975102572 band_8: 0.19748284391148718 id: - e68a732c-0042-573b-826b-bdaad225134b tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.256 water_vapour: id: - 1a8a85ca-7dd6-584f-b17a-eae03f8b24cd tier: DEFINITIVE value: 4.779999923706055 id: 7a3bc649-a978-4d0e-a47e-d5fe30821241 parameters: buffer_distance: 8000 esun: BAND-1: 2010.3210740590416 BAND-2: 2084.5018384008936 BAND-3: 1912.0188489476968 BAND-4: 1597.623799869482 BAND-5: 972.6209187595059 BAND-6: 245.6002713064892 BAND-7: 83.58538749118352 BAND-8: 1798.5446573323372 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-24 01:10:59.139951Z atime: 2022-12-25 14:46:17Z ctime: 2022-12-05 21:06:45Z mtime: 2022-12-05 18:51:01Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/104_068/LC81040682022328/LC08_L1TP_104068_20221124_20221205_02_T1.tar system_information: hostname: gadi-cpu-clx-1438.gadi.nci.org.au runtime_id: 15cb9abe-8466-11ed-b1c3-0000008cfe80 time_processed: 2022-12-25 15:09:10.548718Z uname: 'Linux gadi-cpu-clx-1438.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: 108.0 red: 4.0 teal: 27.0 yellow: 6.0 error_message: no errors final_qa_count: 137 granule: LC81040682022328LGN00 ref_date: '2014-06-11T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/104/068/LC81040682014162LGN00_B6.TIF residual: abs: x: 0.38 xy: 0.59 y: 0.45 abs_iterative_mean: x: 0.18 xy: 0.31 y: 0.24 cep90: 0.66 iterative_mean: x: -0.04 xy: 0.1 y: 0.09 iterative_stddev: x: 0.26 xy: 0.4 y: 0.3 mean: x: 0.04 xy: 0.07 y: -0.05 stddev: x: 0.91 xy: 1.34 y: 0.98 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 10.709856160816573 cloud: 77.89830492966318 cloud_shadow: 1.7825450796600881 snow: 0.00028039929942481 water: 9.609013430560724 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 ...