Extracting Frequent Sequential Patterns of Forest Landscape Dynamics in Fenhe River Basin, Northern China, from Landsat Time Series to Evaluate Landscape Stability

The forest landscape pattern evolution can reveal the intensity and mode of action human–land relationships at different times in spaces, providing scientific support for regional ecological security, human settlement health, sustainable development. In this study, we proposed a novel method analyzing dynamics patterns. First, patch density (PD), largest index (LPI), shape (LSI), contiguity (CI) were used to identify types spatial frequent sequential mining was detect subsequences from time series 1991 2020 further evaluate stability Fenhe River Basin China. results show that sequence patterns have conspicuous temporal differences, which describe processes changes during certain period play an important role analysis dynamics. proportion disturbed regions total area exhibited downward trend. long-term indicates there are many trends same time, showing aggregation distribution law. Compared with 2016, has become complete 2020, overall improved. This study provide land managers policy implementers offer new perspective studying evaluating stability.