本研究主要通過GIS、RS方法,對屏東縣衛星影像以及土地使用分類圖等資源進行分析,並利用單因素和多因素回歸,找出綠地系統與地表溫度空間分佈之關聯,旨在找出影響綠地系統對於熱島效應核心可量化因素,探討緩解大區域下熱島效應蔓延的問題。 本研究發現綠地系統對於熱島效應的最核心影響因素為綠地植被指數,並且植被指數與地表溫度存在明顯負相關。而綠地空間指標上則是基於面積的形狀指數、連接度指數、聚集度指數、分形位數為主要影響因素。這些因素分佈涵蓋綠地系統的常見綠地空間分佈特點,並展現出了面積效應以及邊緣效應等是綠地系統發揮緩解熱島效應的重要影響因素。並以此提出綠地系統規劃應盡可能在面積、分佈上集中且不同綠地之間存在完整的連接綠帶等建議。
By using GIS and RS to analysis, this study analyse the satellite images of Pingtung and the land use classification maps. By using the simple factor linear regressions and the multiple-factors linear regressions, it found the correlation between the spatial characters of the greenbelt and the suface temperture. The study aims to mitigate the contagion of urban heat island effect byidentifying the measurable features of greenbelt. This study found Normalized Difference Vegetation Index (NDVI)that is the core factor to mitigate UHI. And there is a obvious negative correlation between the greenbelt and the suface temperture.The importance factors to mitigate the contagion in the spatial characters are Shape Index Distribution (SHAPE_AM), Connectance Index (CONNECT),Aggregation Index (AI) and Fractal Dimension Index (FRAC_AM). These factors cover the common character of greenbelt's distribution. And area effect and the edge effect are the most importence factors.The importance spatial index (e.g.SHAPE_AM,CONNECT and CONNECTetc.) put forward the recommendations to the future green space planning, which should design the greenbelt as much as possible in concentration of the proportion and the distribution. And there should be connections with each greenbelt.
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