{"id":"doi:10.1016/j.rse.2019.111358","kind":"article","title":"Short and mid-term sea surface temperature prediction using time-series satellite data and LSTM-AdaBoost combination approach","authors":["Changjiang Xiao","Nengcheng Chen","Chuli Hu","Ke Wang","Jianya Gong","Zeqiang Chen"],"author_count":6,"year":2019,"published":"2019-08-14","venue":"Remote Sensing of Environment","cited_by":358,"doi":"10.1016/j.rse.2019.111358","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.rse.2019.111358","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.rse.2019.111358","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2968862935","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Hydrological Forecasting Using AI"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}