Abstract: The highresolution image is extensively used to monitor forest diseases and insect pests with the development of remote sensing techmology. Taking Shaxian County of Fujian Province as the study area. and the SPOT-5 image as data source, the texture feature of both healthy and infested Pinus massoniana stands by Dendrolimus punctatus were extracted and the best texture were constructed with Graylevel Cooccurrence Matrix method. The pest information was derived respectively by pixel statistics and objectoriented methods, and the individual precision was individually 72.00% and 74.75%. The results showed that it was practicable to monitor the infestation of Dendrolimus punctatus with texture feature of remote sensing image, which provided the relevant research with case study support and technical reference. It was also showed that the objectoriented method with higher precision and better image quality was superior to the traditional pixel statistics classification method.