應用衛星遙測與灰系統理論探討台灣氣候因子對植被長期 適應環境之影響

Abstract

Eight sets of SPOT satellite imageries, covering nine years from 1994 to 2002 and are equivalent to eight months, were used to monitor the seasonal changes in the normalized difference vegetation index (NDVI) of the Mt. Huangzui area in the Yangminshan National Park at northern Taiwan. The grey system theory was applied to analyze the contribution degree of the five climate factors on the satellite remote sensing NDVI of four major vegetation such as Axonopus affinis、Miscanthus foridulus、Eurya crenatifolia and broad leaf vegetation. The grey relational analysis showed that the contribution degree of climate factors to satellite NDVI is: monthly mean temperature＞daily cumulative irradiance＞daily insolation percentage＞monthly mean relative humidity＞ monthly cumulative precipitation. This suggested that light and temperature play more important role in the satellite NDVI than water in the Mt. Huangzui area.