In　the　present　paper,　one　remote　sensing　index-age　group　vegetation　index　(AGVI)　was　put　forward,　and　its　feasibility　was　verified.　Taking　518　groups　of　pine　forest　age　group　data　collected　in　13　counties　(cities)　of　Sanming,　Jiangle,　Shaxian,　Nanping,　Huaan,　Yunxiao,　Nanping,　Anxi,　Putian,　Changting,　Jianyang,　Ningde　and　Fuqing,　Fujian　Province　and　HJ-1　CCD　multi-spectral　image　at　the　same　time-phase　as　the　basis,　the　spectrum　differences　of　blue,　green,　red,　near　infrared　and　NDVI　of　each　age　group　were　analyzed,　showing　the　characteristics　of　young　forest＞middle-aged　forest＞over-mature　forest＞mature　forest＞near　mature　forest　at　near　infrared　band　and　mature　forest＞near　mature　forest＞over-mature　forest＞young　forest＞middle-aged　forest　at　NDVI,　thus　the　age　group　vegetation　index(AGVI)　was　constructed;　the　index　could　increase　the　absolute　and　relative　spectrum　differences　among　age　groups.　For　the　pine　forest　AGVI,　cluster　analysis　was　conducted　with　K-mean　method,　showing　that　the　division　accuracy　of　pine　forest　age　group　was　80.45%,　and　the　accurate　rate　was　90.41%.　Therefore,　the　effectiveness　of　age　group　vegetation　index　constructed　was　confirmed.