墾丁國家公園銀合歡植生綠度之季節性變化

Study on the Seasonal Variation of Vegetation Index of Leucaena Leucocephala in Kinting National Park

朱容君(Jung-Chun Chu) ； 馮郁筑(Yu-Chu Feng) ； 陳朝圳(Chaur-Tzuhn Chen)

《華岡農科學報》 20期 (2007/12) Pp. 53-62

https://doi.org/10.29985/HKJA.200712.0004

摘要

就植物生理角度而言，植群的反射光譜可直接反映出該植群的生理特性，銀合歡自引進台灣後，由於生長優勢，逐漸入侵本土植群，造成生物多樣性的降低。衛星遙測技術可提供同一地點之多期、多光譜資料，因此對於大面積森林生長狀況之變化可有效的掌握，其在生態環境監測及生態功能推測上，可配合其他地面樣區調查資料，建立生態屬性之空閒變化模式。本研究主要以墾丁國家公園內銀合歡(Leucaena leucocephala)爲研究對象，利用四個不同生長季節之墾丁國家公園SPOT XS衛星影像，進行各期影像之常態化差異植生綠度分析，探討銀合歡植生綠度在不同生長季節之變異，研究結果顯示冬季及春季墾丁地區之銀合歡植群因受束北季風影響其植生綠度最低，夏季之植生指標最高，其變異與主要伴生樹種相思樹(Acacia confuse)有顯著性差異，此研究結果可配合地面調查，將有效的掌握外來種的分布範圍。

關鍵字

銀合歡 ； 相思樹 ； NDVI ； SPOT多期影像

並列摘要

Base on the plant physiology, the spectrum reflectance of the plant which can reflect the physiological characteristics. Remote sensing image can offer the multi-temporal and multi-band of the same place, therefore, we can effectively monitor forest development situation on a large scale, then we also combined with the data of ground survey, which can be used in monitoring environment and establish the ecosystem function. The purpose of this research was to study the effect of northeastern monsoon on the vegetation greenness of Leucaena leucocephala in Kinting National Park. In this study we applied normalized difference vegetation index (NDVI) to detect seasonal variation in vegetation greenness of Leucaena leucocephala and its associated tree species of Acacia confuse with four SPOT XS images, which were gathered at different times. The results indicated that Leucaena Leucocephala had the lowest degree of vegetation greenness in winter and spring season and in summer season the degree of vegetation index is high that is different with the major associated tree species of Acacia confuse in Kinting National Park. This result of research could cooperate with the ground survey, it also supply to control exotic species distribution range.

並列關鍵字

Leucaena leucocephala ； Acacia confuse ； Normal Different Vegetation Index NDVI ； SPOT multi-temporal image