{"id":"W4400352645","doi":"10.3390/rs16132463","title":"Limitations of a Multispectral UAV Sensor for Satellite Validation and Mapping Complex Vegetation","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remote sensing; Spectroradiometer; Multispectral image; Environmental science; Hyperspectral imaging; Reflectivity; Satellite; Spectral bands; Radiometric calibration; Atmospheric correction; Calibration; Geology; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002013794,0.0003173865,0.0002531409,0.0004290541,0.0003654647,0.000744413,0.0008150424,0.0004484821,0.0009636997],"category_scores_gemma":[0.003743583,0.0002098779,0.0002530285,0.000553334,0.0003976316,0.0009546043,0.0004906817,0.0003098994,0.0005803392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004836383,"about_ca_system_score_gemma":0.0003937386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004501909,"about_ca_topic_score_gemma":0.0101832,"domain_scores_codex":[0.9977232,0.0005608366,0.000105518,0.0003207295,0.001205007,0.0000847735],"domain_scores_gemma":[0.996735,0.001002281,0.0003781745,0.0007439809,0.001083677,0.0000568267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005246391,0.0001499095,0.1268809,0.001402216,0.0002459938,0.0003345936,0.0008929741,0.02186696,0.4363664,0.002472027,0.005075822,0.4037874],"study_design_scores_gemma":[0.0000339422,0.001051744,0.4443716,0.0006085734,0.0002586656,0.003432703,0.002204021,0.1150721,0.3618779,0.002770271,0.06818042,0.0001379713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8108063,0.003518881,0.1664714,0.0007644676,0.0002354088,0.0001482601,0.001462142,0.001259534,0.0153336],"genre_scores_gemma":[0.9285808,0.0005485508,0.0686827,0.0003068298,0.00002343402,0.00006195492,0.0005185652,0.00007592968,0.001201225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004501909,"threshold_uncertainty_score":0.01065004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0744660283909267,"score_gpt":0.2784430018986138,"score_spread":0.2039769735076871,"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."}}