執行成果摘要
Telemetry technology has been used in forest management for many years. Analysis topics include changes in forest cover, impacts of natural and human disturbances, forest resource surveys, and changes in forest ecosystems. It has accumulated a lot of practical application experience. However, with the development of the times, the emergence of new methods of surveying and mapping instruments and the advancement of surveying and mapping methods or computer calculation technology, even the most frequently used optical telemetry data has also continuously improved the spatial and radiation resolution, and improved forest resources survey and The estimated efficiency and capability, combined with the telemetry information accumulated in the past, also provide a large amount of historical data with time series, so that managers can understand the natural forest succession and the possible impact of forest management.
In order to make good use of modern science and technology to carry out forest resource survey and monitoring, this project uses multi-scale optical satellite images to analyze forest cover and its dynamic changes, research on the automation of tree species interpretation assisted by hyperspectral information, and LiDAR point cloud and multispectral information to integrate telemetry data of different scales and multiple time series, establish a basic framework for automatic change detection, and hope to improve the efficiency of comprehensive forest surveys. In addition, with the real data established by the sub-project of the "Taiwan Forest Resources Survey Historical Data and Document Map Digitalization Project", the basis of comparison between the results of aerial and telemetry surveys and the automatic monitoring of forest dynamic changes can be evaluated to support the development of forestry management policies and better research results.