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Effects of Climate Factors on Normalized Difference Vegetation Index Taking from Satellite Remote Sensing at the Mt. Huangzui Area of Taiwan

氣候因子對磺嘴山地區植被衛星遙測植生指數之影響

摘要


本研究應用九個年度涵蓋四季分佈在八個月份之SPOT衛星遙測資料,監測陽明山國家公園磺嘴山植生指數(normalized difference vegetation index, NDVI)之季節性變化;並以灰關聯理論分析五種氣候因子(即累積降雨量、平均相對溼度、日照率、平均氣溫、與累積全天日射量)對類地毯草、五節芒、假柃木及闊葉林的衛星遙測植生指數之灰關聯性。灰關聯度與灰關聯序顯示,在磺嘴山這五種氣候因子對衛星遙測植生指數之貢獻度為:月均溫>日射量>日照率>溼度>降雨量。由此可知,光線及溫度對磺嘴山的衛星遙測植生指數之影響較水分重要。

並列摘要


Eight sets of SPOT satellite images, covering nine years from 1994 to 2002 and equivalent to eight months, were used to monitor seasonal changes in the normalized difference vegetation index (NDVI) over the Mt. Huangzui area in the Yangminshan National Park of northern Taiwan. The grey system theory was applied to analyze the degree of contribution of the five climate factors on NDVI of four major vegetation types Axonopus affinis, Miscanthus foridulus, Eurya crenatifolia and broad leaf vegetation. Results from grey relational analysis showed that the contribution of climate factors to satellite NDVI can be ranked in order of monthly mean temperature>daily cumulative irradiance>daily insolation percentage>monthly mean relative humidity>monthly cumulative precipitation. It suggests that light and temperature-related climate factors play more important roles in determining the satellite NDVI than water-related climate factors in the Mt. Huangzui area.

被引用紀錄


楊志維(2012)。應用遙測技術推估水稻產量與品質之研究〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2012.00576
陳宏銘(2006)。遙感探測在百慕達草草坪管理之應用〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2006.02479

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