{"id":"W2917077894","doi":"10.3390/rs11040469","title":"Analyzing Performances of Different Atmospheric Correction Techniques for Landsat 8: Application for Coastal Remote Sensing","year":2019,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Simon Fraser University","funders":"SPIE; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Remote sensing; Atmospheric correction; SeaWiFS; Environmental science; Radiance; Zenith; Satellite; AERONET; Solar zenith angle; Atmosphere (unit); Ocean color; Meteorology; Aerosol; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251363,0.0007017503,0.0002918945,0.0009082093,0.0002622058,0.0005125121,0.000434223,0.0004277034,0.000522731],"category_scores_gemma":[0.002164652,0.0001718512,0.0004034046,0.001253619,0.0001745575,0.0004722445,0.0002386828,0.0002992295,0.0003132205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966184,"about_ca_system_score_gemma":0.0003564111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005881905,"about_ca_topic_score_gemma":0.01049158,"domain_scores_codex":[0.9994639,0.00009250724,0.00004037359,0.0001086395,0.0002431175,0.00005149029],"domain_scores_gemma":[0.9989517,0.000276255,0.0001513008,0.0001368349,0.0004567862,0.00002699206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007461395,0.0004121025,0.1487139,0.0007287929,0.0004761568,0.0001674756,0.0003096831,0.05774364,0.2770344,0.0004395875,0.002178457,0.5110496],"study_design_scores_gemma":[0.0000777317,0.0009990323,0.364959,0.00006338095,0.0004423318,0.0003419466,0.0004015836,0.3797554,0.2450425,0.0003584484,0.007397721,0.0001608887],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517959,0.00111657,0.0426521,0.00008724137,0.00005022762,0.0001032069,0.0008000112,0.001062841,0.002331879],"genre_scores_gemma":[0.8706914,0.000691826,0.1256408,0.00003999734,0.00002203628,0.00007314153,0.001886429,0.0001979722,0.0007564188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005881905,"threshold_uncertainty_score":0.01169533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00779306365089646,"score_gpt":0.2113278974115537,"score_spread":0.2035348337606572,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}