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題 名 | SPOT衛星影像分析應用於林地被覆變遷偵測=Change Detection in Forest Land Cover Via SPOT Image Analysis |
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作 者 | 黃凱易; 張偉顗; | 書刊名 | 中華林學季刊 |
卷 期 | 30:1=116 1997.03[民86.03] |
頁 次 | 頁55-70 |
分類號 | 436.718 |
關鍵詞 | 遙感探測; 變遷偵測; Remote sensing; Change detection; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究使用1990及1995年兩期SPOT衛星影像對林務局東勢林區大甲溪事業區之林地被覆變遷進行偵測,其目的乃是探討最適變遷偵測法,同時藉由變遷偵測方法辨認林地地覆變遷侯選區域,以供後續之現場密集調查。使用之變遷偵測法為:植生指標法臺灣省、主成份分析法、影像迴歸法、影像差異法、改變向量分析法及影像分類後比較法。在火災跡地的變遷偵測,六種變遷偵測法皆可獲得良好之偵測效果。在農墾區與植生區之變遷偵測雖以改維向量分析法及植生指標法較佳,而以影像差異法最差,但改遷偵測上亦不盡理想。因此,本研究發現以植生指標法及主成份分析法為本研究最適變遷偵測法。同時,遙測變遷偵測法可從大區域之林地辨識出變遷侯選區域,作為後續現場實地精查之用,俾節省大量經費與人力。 |
英文摘要 | Forest land cover change detction in Tachaci Working Circle was conduct ed using 1990 and 1995 two-data SPOT images in the sutdy. The objectives of the study were to determine theoptial change detection method for the study and to identify the candidate areas of change via change detction techniques for further intensive survey. The techniques used in the study included: vegetation index, principal component analysis, image regression, image differencing, change vector analysis and post-classification comparison. the burned area was identified effectively by using all techniques. Change areas due to fruit farming were ectected satisfactorily only by using change vector analysis and vegetation index, and image differencing was the worst among all of the techniques. However, further confirmation will be needed for change vector analysis. In the meantime, post-classification comparison method performed poorly primarily due to low classification accuracy achieved using SPOT images in farming areas. Consequently, both vegetation index and principal component analysis are considered to be optimal methods in terms of accuracy evaluation for this study. Forest land cover change detection using remote sensing methods is capable of differentiating candidate areas of change from large unchanged forest areas for further on-site survey, thereby reducing large amounts of labor and cost. |
本系統中英文摘要資訊取自各篇刊載內容。