Abstract: Abstract: 【Objective】Screening key areas of forest resources assets can not only improve the territorial audit efficiency of forest resources in China, but also improve the application of geo-information technology in land audit.【Method】Based on the forest landscape pattern and the statistics of land use in Zhejiang Province(Zhejiang Statistical Yearbook, 2014), ENVI and ArcGIS were used to convert the remote sensing image data of Zhejiang Province in 2000, 2005, 2010 and 2015 into ArcGrid data format. A lattice resolution of 30 m and Fragstats 3.3 was used to calculate the forest fragmentation index as a basis for screening key forest resource assets cities in Zhejiang Province. 【Result】In this paper, the key screening model of forest resource assets based on forest fragmentation index and concentration index is effective. It is expected to improve the efficiency of auditing of natural resources assets. Using the constructed model to evaluate the forest resource assets of 11 cities in Zhejiang Province. Five key auditing cities of Zhoushan, Jinhua, Huzhou, Jiaxing and Shaoxing were selected with the scientific nature of the model being supported. Zhejiang empirical evidence from the forest resource asset audit focuses on the forest resource inventory and modern geographic information technology combined. This enhances the territorial audit of the regional main body by recognizing the efficiency and audit results through visual interpretation.【Conclusion】The paper discusses the key area identification model of forest resources assets audit based on forest landscape pattern and how it will improve the efficiency of the audit in larger landscape with changes in the administrative area of woodland.