The　frequency　of　forest　fires　is　increasing　under　global　climate　change,　and　forest　fires　can　cause　devastating　disturbances　to　forest　systems　and　varying　degrees　of　recovery　of　forest　ecosystems　after　a　disaster.　Due　to　the　different　intensity　of　forest　fires　and　forest　systems,　and　in　particular　the　fact　that　forest　ecological　recovery　is　influenced　by　many　topographical　and　climatic　factors,　the　process　of　postfire　vegetation　recovery　is　unclear　and　must　be　studied　in　depth.　In　this　study,　the　Greater　Hinggan　Mountain　Range　was　taken　as　the　study　area.　Based　on　the　Moderate　Resolution　Imaging　Spectroradiometer　(MODIS)　and　Landsat　time-series　images　acquired　from　2000　to　2018,　this　study　used　the　spatiotemporal　data　fusion　method　to　construct　reflectance　images　of　vegetation　with　a　relatively　consistent　growth　period　to　study　the　vegetation　restoration　after　forest　fires.　The　vegetation　restoration　was　characterized　by　disturbance　index　(DI)　values,　which　eliminated　phenological　influence.　Six　types　of　topography　and　climatic　factors　(elevation,　aspect,　slope;　temperature,　precipitation,　and　wind　speed)　were　coupled　with　DI.　Through　single-factor　analysis　of　variance　and　multiple　comparison　statistical　methods,　it　was　found　that　there　was　a　significant　relationship　between　the　six　factors　and　DI,　which　indicated　those　factors　had　a　significant　impact　on　the　restoration　of　forest　vegetation　in　burned　areas.　The　results　will　be　useful　as　a　reference　for　future　monitoring　and　management　of　forest　resources.　©　2022　by　the　authors.　Licensee　MDPI,　Basel,　Switzerland.