The　correct　use　of　the　product　is　possible　only　when　the　land　surface　temperature（LST）data　is　calculated　by　an　accurate　and　reliable　inversion　algorithm.　In　this　paper，we　compare　the　inversion　results　of　five　commonly　used　LST　inversion　algorithms　based　on　Landsat-8，Landsat-9　data，and　weather　station　data.　The　inversion　results　and　parameter　sensitivity　analysis　of　different　algorithms　are　tested.　The　results　show　that　the　inversion　results　of　the　Radiative　Transfer　Equation（RTE）and　Single　Channel（SC）algorithms　calculated　based　on　land　surface　emissivity（LSE）are　in　good　agreement　with　the　ground　measured.　The　inversion　results　of　the　SC　algorithm　based　on　the　atmospheric　water　vapor　inversion　and　the　Split　Window（SW）algorithm　based　on　the　atmospheric　water　vapor　inversion　are　higher　than　the　measured　temperature.　The　inversion　accuracy　of　the　Mono　Window（MW）algorithm　based　on　average　temperature　parameters　is　not　ideal.　In　addition，the　consistency　of　the　inversion　temperature　of　the　two　data　on　different　ground　objects　is　compared.　Our　study　can　provide　a　reference　for　land　surface　temperature　inversion　based　on　Landsat-9　data.　©　2024　Chinese　Optical　Society.　All　rights　reserved.