Abstract:

Based on Sentinel-2A and Landsat-8 middle-resolution remote sensing data,combined with the three-phase forest inspection results and the annual update data of the "one map" of forest resources man-agement from 2018 to 2020,LSMA spectral hybrid analysis model and Li-Strahler geometric optics model were used to study the dynamic monitoring and empirical research on the changes of forest resources in 8 pilot counties of Qinghai Province.The results showed that,in the 15-month time span,a total of 693 change patterns with total area of 1286.3827 hm² of forest land were monitored,which mainly occurred within the public welfare woodland and accounted for 97.48% of the total area.And the overall accuracy rate reached 87.30%,which met the requirements for dynamic monitoring of forest resources;Also,the smallest patch area that could be detected by the 10-m resolution satellite image was 0.1 hm²,but it was mainly concentrated in forest areas with greater canopy closure;Furthermore,on the basis of computer automatic detection,adding manual recognition could further improve the accuracy of change detection.

Key words: middle-resolution remote sensing data, dynamic monitoring of forest resources, change detection model, precision control