This　study　estimated　aboveground　carbon　stock　(AGC)　using　field　data　and　integrated　multi-source　remote　sensing　imagery　to　understand　the　effects　of　Pantana　phyllostachysae　Chao　(P.　phyllostachysae)　stress.　AGC　remote　sensing　inversion　was　performed　while　accounting　for　P.　phyllostachysae　stress,　and　changes　were　analyzed.　Results　indicate:　(1)　Carbon　content　coefficients　of　Moso　bamboo　leaves,　branches,　and　culms　under　pest　stress　ranged　from　0.422　to　0.543　g/g,　decreasing　with　increased　stress.　(2)　A　random　forest　model　using　multi-source　data　demonstrated　the　best　performance　(R2　=　0.688),　estimating　average　AGC　at　28.427　t/ha　and　total　carbon　sequestration　at　913.902　MtC　(Million　tons　of　Carbon).　(3)　Increased　pest　stress　resulted　in　gradual　reductions　in　AGC.　(4)　Pest　stress　is　estimated　to　result　in　a　carbon　sequestration　loss　of　77.443　MtC.　The　AGC　estimation　model　indicates　that　P.　phyllostachysae　significantly　reduces　AGC,　providing　crucial　data　for　understanding　carbon　cycling　and　enhancing　carbon　sink　management　in　Moso　bamboo　forests.