Abstract: Taking the plantation of Caijiahe Basin in Yanqing District of Beijing as the research object, the high-resolution remote sensing image of plain afforestation area of Caijiahe Basin was taken as the data source. Using the Crop Science toolkit of ENVI 5.4, extraction and detection of individual tree were performed on the broad-leaved forest and coniferous forest samples, and the results were evaluated and compared. The results show that the Crop Science toolkit has high efficiency and accuracy on extraction of individual tree for young plantation and the overall accuracy is over 94%. The identification of individual tree is greatly affected by the regularity of the trees distribution. The tree locations with structured rows, can get the better extraction result. In this study, we introduce an effective and convenient tool to quickly obtain the location, count at the individual tree scale, based on high resolution remote sensing data. It is beneficial for forestry management and maintenance personnel to quickly obtain high-precision forest monitoring information.