Grey Relational Analysis of the Effect of Climate Factors on the Satellite Remote Sensing Normalized Difference Vegetation Index (NDVI) in Mt. Huangzui area
|Authors:||黃文達||Keywords:||Climate factor;Grey relational analysis;Normalized difference vegetation index;NDVI;Satellite remote sensing;Mt. Huangzui area||Issue Date:||31-Jul-2005||Publisher:||臺北市：國立臺灣大學農藝學系暨研究所||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.
|Appears in Collections:||農藝學系|
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