本研究以墾丁國家公園爲研究區,調查期間爲2006年11月至2007年10月,利用地面手持光譜儀,量測植群冠層之光譜特徵,包含區域內之銀合歡(Leucaena leucocephala)、黃荊(Vitex negundo)、相思樹(Acaciaconfuse)與林投(Pandanus odoratissimus)等4種優勢植群。主要目的係將每個月份所蒐集之光譜資料,擬以多光譜與高光譜之方式,評估可見光至近紅外光之光譜區間中,4種優勢植群之辨別潛力。經多光譜分析結果顯示,植物本身因乾季3月份與濕季7月份所產生的物候現象,可增加植群辨別的可能性,而高光譜分析結果顯示,乾季3月份可完全有效辨別4種優勢植群。綜合以上所述,本研究建議未來進行大尺度的植群繪圖工作時,宜集合乾、濕季多時段衛星影像,亦可採用高光譜影像,前提須考慮到植物的物候階段來作選擇。
The spectral characteristics of the vegetation canopy, including four dominant vegetation types, Leucaena leucocephala, Vitex negundo, Acacia confuse and Pandanus odoratissimus, were measured from November 2006 to October 2007 using a ground handheld spectroradiometer in the Kenting National Park of Taiwan. The purpose of this paper was conducted to evaluate the potential of multispectral and hyperspectral reflectance in the visible to near infrared spectral range, for discriminating four dominant vegetation types every sampling date. Differences observed in the multispectral analysis showed that four dominant vegetation types were possible to distinguish due to phenology in March 2007 (dry season) and July 2007 (wet season), and in hyperspectral were statistically significant in March 2007, which facilitates their discrimination. Our results suggest that mapping four dominant vegetation types is feasible using multi-temporal imagery, and hyperspectral sensors, taking into account the plant phenological stages.