The application of remote sensing (RS) in monitoring and managing forest resources was initiated in early 1980s’, when Chinese Academy of Forestry (CAF) developed the software for processing RS data and used space RS data to map the forest distribution and stock volume estimation in Linjiang, Jilin. In a succession afterwards, terrestrial resource satellite TM, SAR, GIS, GPS were applied in forest resource management. Nowthe Chinese Academy of Forestryhas established an integrated approach combining RS, GIS and GPS for monitoring forest resources, environment, disasters, etc.

Forest growth modelling

The Chinese Academy of Forestry plays a leading role in forest growth modelling, statistics and forest inventory technology. In terms of research on growth and management models and optimized control, the theory about the relationship between maximum density of forest stands and adaptive sparse was established and a thinning model was derived from the basis of growth model, which included the parameter estimation considering measurement error and could propose an optimized control of main logging while also conducting thinning.

Forest biomass model based on sample plots

Forest management technology

A technologic model of forest management based on three feedback loops was proposed in the research of modern management technology for timber plantations in south China. The conceptual framework of structural forest management was explored, with quantitative analytic method of forest spatial structure developed and stand structure parameter system created, which realized the application of spatial structure research findings in guiding the restructure of forest stands. Technical research was carried out on forest management aiming at developing multifunctional planted forests, with principles and indicators of multi-functional forest management and a technical sub-system for forest management planning were developed. Research on forest growth simulation modelling was conducted and the whole-forest growth modelling method was applied in management practices. In combination with its pilot project in support of the Natural Forest Protection Program, the Chinese Academy of Forestry established a close-to-nature forest management planning model.

Remote Sensing technology

Significant achievements have been made in the development and application of space RS technology in integrated forest monitoring systems. An integrated and multi-scale forest resource monitoring system combining modern forestry information techniques and traditional land survey was developed. Multiphase RS sampling was accomplished in term of RS data processing, analysis and application and a general software of forest inventory RS data was developed independently.

Integrated forest resources monitoring sampling system

Based on high-performance computing environment and cloud calculation, a high-resolution RS application technology and service platform was established, breakthroughs in eight core technologies in applying high-resolution forest RS were overcome and five categories of thematic databases were built. Supportive technology for forest management decision-making was advanced, including digital forest modelling and visualization, digital forest and pastureland management, etc.

Wetland dynamic monitoring and prediction simulation technology

Forest resource monitoring visualization system