本文使用的素材是UltraCam數位航攝相機拍攝的高解析度紅外光假色影像，由於航攝影像的航高較低，視角大，影像的邊緣地帶與像主點的傳送路徑差距大，易受高差位移、路徑輻射、陰影的影響。加上近紅外光感測器的記錄範圍窄化，影像呈現不飽和與色偏狀況，需進行對比增顯與色彩平衡處理，方能應用於綠覆率估算。經以標準化差異植生指數估算綠覆率及製作綠覆蓋圖後，發現綠覆蓋圖與和平與燕巢校區的植被分佈範圍大致吻合，其中燕巢校區影像的綠覆率為52.36%，整體準確度：73.50%，Kappa為0.4817；和平校區影像的綠覆率為24.58%，整體準確度：90.93%，Kappa為0.7550。

The high resolution aerial infrared false color imageries photographed by the UltraCam digital aerial camera are used in this research. Those imageries need to stretch contrast as well as balance color before thresholding due to the relief displacement, path radiance, poor color saturation and shadow caused by low attitude photograph, haze and narrow recording range of near infrared sensor. The range of vegetation match the derived map of green cover both in the Ho-ping campus and Yanchao
campus. The ratio of green cover in the imagery of Yan-chao campus is 52.36%,the total accuracy is 73.50%, Kappa value 0.4817. The ratio of green cover in the imagery of Ho-ping campus is 24.58%, the total accuracy is 90.93%, Kappa value 0.7550. The ratio of green cover of these images are estimated by using the NDVI thresholding.