{"id":"W4286299948","doi":"10.1038/s43017-022-00298-5","title":"Optical vegetation indices for monitoring terrestrial ecosystems globally","year":2022,"lang":"en","type":"review","venue":"Nature Reviews Earth & Environment","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":756,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Vegetation (pathology); Remote sensing; Environmental science; Terrestrial ecosystem; Satellite; Ecosystem; Compositing; Computer science; Environmental resource management; Ecology; Geography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536311136487687,"score_gpt":0.3010257752740697,"score_spread":0.2656626639091929,"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."}}