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題 名 | 光譜植生指標在森林資源調查林分鬱閉度預測模式上應用之個案研究=A Case Study on the Application of Spectral Vegetation Indices on the Canopy Closure Estimating Models in Forest Resources Survey |
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作 者 | 林金樹; | 書刊名 | 中華林學季刊 |
卷 期 | 31:1=120 1998.03[民87.03] |
頁 次 | 頁51-63 |
分類號 | 436.712 |
關鍵詞 | 遙測; 林分鬱閉度; 預測模式; 光譜植生指標; Remote sensing; Canopy closure; Estimating models; Spectral vegetation indices; |
語 文 | 中文(Chinese) |
中文摘要 | 為瞭解遙測多譜資料及其植生指標與序列型林分鬱閉度的關係,本文利用大地衛 星多譜掃描資料和林務局轄屬的嘉義林區玉井事業區的林分鬱閉度地面調查資料,以最小二 乘法建立其迴歸模式,並探討如何利用光譜資訊來有效的推測林分鬱閉度。研究結果顯示, 林分鬱閉度的對數轉換值[LCC=In(CC+1)]與TM及MSS的各光譜波段具有顯著的四次方多 項式迴歸關係,但此等模式的迴歸係數變方膨脹因子(VIF)非常大,並不適合實際應用到 林分鬱閉度之推測上。林分鬱閉度的對數轉換值與TM光譜值生指標具有顯著的線性關係; 測試的植生指標中,以土壤修正植生指標(SAVI)對林分鬱閉度的解釋變異量(85.13%) 最高,且與TM六個反射光譜波段組成的多元迴歸式之解釋變異量(85.16%)大約相等。SAVI 對林分鬱閉度的預測模式為LCC=0.564938+3.610834[(TM4-TM3)/(TM4+TM3+60)]。林分鬱 閉度的倒數轉換值[ICC=1/(CC+1)]與MSS光譜植生指標具有顯著的拋物線關係;各植生指 標中,以規整差植生指標(NDVI)對林分鬱閉度倒數轉換值的解釋變異量(79.40%)最高, 其預測模式為ICC=0.790222-2.351677NDVI+2.334524NDVI 。 |
英文摘要 | The least-squared regression method was applied to examine the relationship between the surveyed forest canopy closure that classified as ordinal data type vs. Landsat MSS and TM data. The results show that pixel's brightness value, and natural log transformed canopy closure, LCC=In(CC+1), has a fourth powers' polynomial relationship. Although this relationship was very significant, the polynomial model was not suitable for estimating the ordinal canopy closure because of the large variance inflation factor(VIF) of their regression coefficient. There was a very significant linear relationship between the log transformed canopy closure and TM vegetation indices. The best model for estimating the ordinal canopy closure was the one constructed by the predictor soil-adjusted vegetation index, SAVI. Its coefficient of determination was 0.8513 which almost equaled to the coefficient of the multiple regression model constructed by all the reflected |
本系統中英文摘要資訊取自各篇刊載內容。