--- 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: - 677f1bd6-e11f-5d8e-acc6-3d5752adecee tier: AATSR_CMP_MONTH value: 0.051701683551073074 brdf: alpha_1: band_1: 0.46321913161809075 band_2: 0.4632142633072656 band_3: 0.5817623169367084 band_4: 0.4404485778794567 band_5: 0.7324879727670456 band_6: 0.4576324511857869 band_7: 0.4690218340348313 band_8: 0.5112271656122267 alpha_2: band_1: 0.15830829889469744 band_2: 0.1583090135755735 band_3: 0.13720364950034789 band_4: 0.16049685706907985 band_5: 0.07196914459572913 band_6: 0.12128409403145328 band_7: 0.17196534403312067 band_8: 0.1488852920089019 id: - 324101e4-4398-5adb-a34a-57edd7ada0c3 tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 6893a108-f757-5d01-b233-fe0196d7e88b tier: DEFINITIVE value: 0.337 water_vapour: id: - 39837fc5-35ea-5306-af43-be729de272e2 tier: DEFINITIVE value: 1.7700000762939454 id: b0ffd012-778b-4c52-83c6-2e67ae47def8 parameters: buffer_distance: 8000 esun: BAND-1: 1961.340499476269 BAND-2: 2033.7142226989704 BAND-3: 1865.4334324813083 BAND-4: 1558.6985174947379 BAND-5: 948.9236279884641 BAND-6: 239.61637684015642 BAND-7: 81.54887570278075 BAND-8: 1754.7240804480205 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-10-06 00:34:33.560941Z atime: 2022-10-24 10:24:41Z ctime: 2022-10-13 11:47:58Z mtime: 2022-10-13 09:56:16Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/097_085/LC80970852022279/LC08_L1TP_097085_20221006_20221013_02_T1.tar system_information: hostname: gadi-cpu-clx-1003.gadi.nci.org.au runtime_id: ea81792c-5388-11ed-9e2b-0000018cfe80 time_processed: 2022-10-24 10:45:03.328205Z uname: 'Linux gadi-cpu-clx-1003.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: 3.0 green: 111.0 red: 0.0 teal: 13.0 yellow: 2.0 error_message: no errors final_qa_count: 103 granule: LC80970852022279LGN00 ref_date: '2014-08-29T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/097/085/LC80970852014241LGN00_B6.TIF residual: abs: x: 0.22 xy: 0.3 y: 0.21 abs_iterative_mean: x: 0.12 xy: 0.18 y: 0.13 cep90: 0.35 iterative_mean: x: -0.01 xy: 0.01 y: -0.0 iterative_stddev: x: 0.15 xy: 0.23 y: 0.17 mean: x: -0.0 xy: 0.01 y: 0.01 stddev: x: 0.33 xy: 0.58 y: 0.48 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 15.65049619487245 cloud: 50.74683214783131 cloud_shadow: 3.000195972234342 snow: 0.00048749312025334046 water: 30.601988191941643 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 ...