查看文章

Impervious surface dynamics have far-reaching consequences on both the environment and human well-being. The expansion of impervious surface is often spontaneous and conscious, particularly in fast developing regions. Thus, monitoring impervious surface dynamics with high temporal frequency in a both accurate and efficient manner is highly needed. Here, we propose an approach to capture continuous impervious surface dynamics using spatial-temporal rules and dense time series stacks of Landsat data. First, a stable area mask based on image classification in the start and the end years is generated to remove pixels that are persistent or spatially irrelevant. The Continuous Change Detection (CCD) algorithm is then employed to determine the change points when non-impervious cover converts to impervious surface based on the property of temporal irreversibility. Finally, the CCD time series models …