{"id":"W1975561768","doi":"10.5194/isprsarchives-xxxix-b7-91-2012","title":"AIRBORNE X-HH INCIDENCE ANGLE IMPACT ON CANOPY HEIGHT RETREIVAL: IMPLICATIONS FOR SPACEBORNE X-HH TANDEM-X GLOBAL CANOPY HEIGHT MODEL","year":2012,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Ottawa; Carleton University","funders":"","keywords":"Interferometric synthetic aperture radar; Canopy; Remote sensing; Vegetation (pathology); Synthetic aperture radar; Environmental science; Shuttle Radar Topography Mission; Tree canopy; Satellite; Radar; Range (aeronautics); Meteorology; Geography; Digital elevation model; Computer science","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":[0.0005027819,0.0003068051,0.0002143283,0.0001634195,0.0002333907,0.0006048434,0.0004249298,0.0004393344,0.001078123],"category_scores_gemma":[0.0007571144,0.0001329438,0.0004394647,0.0002828627,0.0001988618,0.0004786856,0.0002558329,0.0003819069,0.0002096243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004205808,"about_ca_system_score_gemma":0.000405332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02671075,"about_ca_topic_score_gemma":0.01664045,"domain_scores_codex":[0.9998884,0.00003097763,0.000005195974,0.00002623102,0.00003222166,0.00001691649],"domain_scores_gemma":[0.9995915,0.0002231627,0.00003380846,0.00004415599,0.00008671044,0.00002058085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003761604,0.0002049594,0.06308405,0.00005519587,0.00009039462,0.0001804715,0.00007449676,0.8989105,0.01190323,0.0004858004,0.0009232481,0.02371158],"study_design_scores_gemma":[0.00002988029,0.0001004218,0.03327701,0.000007813852,0.00002437051,0.00002393315,0.00007910556,0.9627336,0.003279049,0.0001362363,0.0002964076,0.00001221252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913784,0.0001077097,0.005653627,0.0001411793,0.00002850827,0.00001723894,0.0004956035,0.0001690962,0.002008592],"genre_scores_gemma":[0.9971837,0.00005474484,0.001969933,0.00003044624,0.000004363118,0.000007310618,0.0003922781,0.00002425077,0.0003328453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02671075,"threshold_uncertainty_score":0.05311054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753430366425796,"score_gpt":0.2750494733340532,"score_spread":0.2575151696697953,"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."}}