Abstract: In order to monitor forest resources dynamic changes at the regionlevel, such as a province, spatial sampling was used in GIS environment for hi-resolution remote sensing images of SPOT5 and ALOS, while historical surveying data and other data were used as ancillary data.The attributes of sampling spotsincluded land use/cover types and species groups and others were determined byvisual interpretation, thus areas of forest types and their conversion matrix wereattainable. Furthermore, timber volumes were estimated with the areas of forest types and volume per-hectare derived from the analysis of historical surveyingdata.The application indicated that if hi-resolution images and historical surveying data were available, the present method has advantage in dynamic analysis, and is efficient and has high accuracy. It is also suitable to monitor forestresources at local level, such as a county.

Key words: forest resources monitoring, remote sensing, spatial sampling