{"id":"W3023058341","doi":"10.1016/j.isprsjprs.2020.04.001","title":"Google Earth Engine for geo-big data applications: A meta-analysis and systematic review","year":2020,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":1302,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Memorial University of Newfoundland","funders":"","keywords":"Geospatial analysis; Python (programming language); Cloud computing; Computer science; Data science; Analytics; Big data; Gee; Earth observation; JavaScript; Remote sensing; World Wide Web; Data mining; Geography; Satellite; Machine learning; Engineering","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":0.06668242335369859,"score_gpt":0.2760242050645414,"score_spread":0.2093417817108428,"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."}}