{"id":"W4413984437","doi":"10.1016/j.geomat.2025.100070","title":"Multi-sensor remote sensing approach for oil palm mapping and stand age detection using 38-year landsat and sentinel time series data in the google earth engine","year":2025,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Graduate School, Prince of Songkla University; Prince of Songkla University","keywords":"Remote sensing; Series (stratigraphy); Palm oil; Environmental science; Time series; Computer science; Geography; Geology; Agroforestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006309749,0.00061035,0.0003245407,0.001889382,0.0001841997,0.0003133508,0.0005607581,0.0002332775,0.0008324006],"category_scores_gemma":[0.0006670246,0.0002213073,0.0006642175,0.0008866425,0.00009155073,0.0005405021,0.0004646234,0.0002077731,0.0003872082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004731809,"about_ca_system_score_gemma":0.0005803723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02837593,"about_ca_topic_score_gemma":0.04953363,"domain_scores_codex":[0.9997851,0.00003560127,0.00001474745,0.00007413809,0.00005129082,0.000039074],"domain_scores_gemma":[0.9998148,0.00003448749,0.00003029373,0.0000388853,0.00006500169,0.00001656774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007464665,0.0005196263,0.166844,0.0002051194,0.0003863509,0.0004246578,0.000424196,0.1955564,0.09092049,0.001354946,0.003762233,0.5388555],"study_design_scores_gemma":[0.0000323502,0.0001087893,0.1288552,0.00001462154,0.00008483002,0.0001464949,0.0002811177,0.8488863,0.01754544,0.001329748,0.002657083,0.00005801662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8395858,0.0003508906,0.15042,0.0001029968,0.00003489233,0.0001577298,0.003607623,0.003782886,0.001957137],"genre_scores_gemma":[0.8516852,0.00009264194,0.1446487,0.00002819035,0.000009818623,0.00006042163,0.002491211,0.00009199835,0.0008918045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02837593,"threshold_uncertainty_score":0.05642152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566351050205547,"score_gpt":0.2493986791682054,"score_spread":0.2237351686661499,"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."}}