Large　number　of　publications　have　been　published　in　marine　remote　sensing　study,　and　it　is　of　great　importance　to　explore　and　discover　the　key　research　topics　and　hotspots　for　domain　researchers.　In　this　study,　a　combination　of　topic　modeling　and　keywords　co-occurrence　analysis　was　applied　to　7,509　articles　published　between　2018　and　2022　obtained　from　the　Web　of　Science　database.　The　findings　of　this　research　indicate　that　marine　remote　sensing　can　be　categorized　into　five　major　themes:　Land　Surface　Temperature　(LST),　Sea　Surface　Temperature　(SST),　SAR/InSAR　for　target　identification　and　detection,　SAR,　and　altimetry　technology　for　monitoring　oceanographic　and　atmospheric　phenomena,　and　water　quality　and　organic　substance　monitoring.　Changes　in　topic　strengths　reflect　a　growing　emphasis　on　SAR-based　target　identification　and　detection　research.　Keyword　co-occurrence　evolution　results　highlight　the　increasing　importance　of　SAR　and　Sentinel　theme　clusters.　In　terms　of　research　trends,　applications　in　marine　remote　sensing　are　likely　to　prioritize　feature　extraction,　sea　measurement,　and　marine　vehicles.　In　addition　to　traditional　data　sources　such　as　MODIS　and　Landsat,　Sentinel,　Cryosat-2,　AMSR-E　and　TerraSAR-X　data　offer　significant　potential　for　marine　remote　sensing　applications.　　©　2024　ACM.