{"id":"W2601186561","doi":"10.1007/978-1-4939-6374-4_1","title":"Introduction to Remote Sensing","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Remote sensing; Satellite; Cover (algebra); Geography; Atmosphere (unit); Land cover; Natural (archaeology); Computer science; Environmental science; Ecology; Land use; Meteorology; Engineering; Aerospace engineering","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":[0.0003119876,0.00138451,0.000686937,0.001983479,0.000754594,0.002354154,0.00100326,0.0009924779,0.1555595],"category_scores_gemma":[0.000814381,0.0004551684,0.0004196183,0.002218576,0.0007163358,0.002759391,0.001394655,0.001888225,0.1139935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009022386,"about_ca_system_score_gemma":0.001191803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081364,"about_ca_topic_score_gemma":0.00579486,"domain_scores_codex":[0.9996387,0.00002973754,0.00001180067,0.00008009686,0.0002149763,0.00002469719],"domain_scores_gemma":[0.9997763,0.00007405286,0.000007952699,0.00003185022,0.0000897842,0.00002003412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001063031,0.00003195706,0.00007661138,0.0003704796,0.000005267937,0.00005972534,0.0001757096,0.0006191037,0.00112957,0.06027159,0.4853665,0.4518829],"study_design_scores_gemma":[6.611424e-7,0.000002879089,0.00005199298,0.00007666263,9.706798e-7,0.00004738929,0.00002144222,0.00007181836,0.0001085567,0.008670305,0.9909443,0.000002983544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004293018,0.04128779,0.0296577,0.002085417,0.004551928,0.00007187399,0.0008940714,0.001086827,0.919935],"genre_scores_gemma":[0.002153843,0.02075828,0.008208144,0.0009494859,0.001124225,0.00005196629,0.0008270505,0.0005418501,0.9653851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1555595,"threshold_uncertainty_score":0.5203985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443081873910369,"score_gpt":0.2349687589559803,"score_spread":0.2205379402168766,"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."}}