Abstract
At devastated land around Asio copper mine, erosion control work to restore vegetation has been executed since 1957 in large expense. In this paper, to evaluate erosion control work, we develop a vegetation restoration model and simulate vegetation restoration using remote sensing and GIS. The vegetation restoration model is based on the Mitscherlich's growth curve that is applied to vegetation index. Model parameters were decided by analyzing remote sensing data as time series data with various ground data. We found that erosion control work makes restoration speed twice. We propose a new index PRV to describe proximity to remaining vegetation. The PRV has a highly positive relationship with restoration speed. It suggests that the vast forest destruction makes natural vegetation restoration to be difficult. Finally, restoration simulation for 200 years was executed under the several scenarios. As a result, a remarkable effect of erosion control work for vegetation restoration was recognized.
