The　Dendrolimus　punctatus　Walker　is　the　most　serious　forest　defoliator　in　China.　The　study　of　pest　remote　sensing　prediction　is　helpful　to　the　comprehensive　and　timely　identification　of　possible　damage　regions,　and　can　provide　the　technical　support　for　the　direct　and　indirect　losses　reduction.　Taking　Fujian　Province　as　the　study　area,　the　Dendrolimus　punctatus　Walker　overwintering　generation　was　investigated　in　13　monitoring　stations,　Sanming　City,　Jiangle　County,　Shaxian　County,　Nanping　City,　Huaan　County,　Yunxiao　County,　Nan＇an　City,　Anxi　County,　Putian　City,　Changting　County,　Jianyang　City,　Ningde　City,　and　Fuqing　City,　successively　from　February　to　May　2012.　The　investigation　indices　contained　GPS　coordinates,　pine　forests　canopy　spectrum,　climate,　terrain,　stand,　pest　source,　human　environment　and　so　on.　After　the　analysis　and　extraction　of　these　factors　above,　the　sub-factors　used　to　predict　the　Dendrolimus　punctatus　Walker　pest　levels　were　obtained　with　correlation　analysis.　With　the　help　of　Fisher　discriminant　analysis,　the　discriminant　functions　of　4　pest　levels,　non-damage,　mild　damage,　moderate　damage　and　severe　damage,　were　constructed,　and　the　self-test　result　with　samples　of　modeling　group　showed　that　the　discriminant　accuracies　were　71.0%,　84.9%,　87.2%,　100%　respectively,　with　total　discriminant　accuracy　of　80.8%.　The　test　result　with　samples　of　validation　group　showed　that　the　discriminant　accuracy　and　accurate　rate　were　73.00%　and　75.99%　respectively,　which　indicated　that　there　was　good　feasibility　to　use　Fisher　discriminant　analysis　to　predict　the　Dendrolimus　punctatus　Walker　pest　levels.