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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/9914
標題: | 地景階層林地碳儲存量之估算-以花蓮光復鄉平地造林為例 Estimation of Carbon Storage at Landscape Level – a Case Study of Lowland Plantation at Guangfu, Hualian |
作者: | Jou-Han Shen 沈柔含 |
指導教授: | 邱祈榮(Chyi-Rong Chiou) |
關鍵字: | 碳儲存量,林分蓄積,平地造林,衛星遙測, Carbon storage,stand volume,lowland plantation,remote sensing, |
出版年 : | 2011 |
學位: | 碩士 |
摘要: | 目前國內估算林分蓄積所使用多為既有樣區資料,其設置常受到可達性與調查員主觀判定之影響,導致樣區無法代表大規模林分之生長狀況。本研究目的在於改良傳統設置樣區方法,利用衛星影像發展不易受到人為主觀影響的樣區設置流程,建立以光譜資訊估算林分材積預測式,將林分蓄積結果換算為碳儲存量。研究方法為利用衛星影像光譜資訊得到全林分生長狀況之梯度,分層取樣不同生長情形之光譜樣點,並於均質區中設置樣區,進而發展光譜資訊推估林分材積之模型,藉以繪製出林分材積空間分布圖。本研究試驗地位於臺糖公司花蓮縣光復鄉之平地造林,對象為櫸樹 (Zelkova serrata (Thunb.) Makino) 與光臘樹 (Fraxinus griffithii C. B. Clarke) 之材積。檢驗資料為林業試驗所於2009 – 2010年在光復造林地設置之樣區資料。
研究結果發現以NDVI光譜資訊估算林分材積(m3/ha)預測式有最高之迴歸結果 (櫸樹模式R2 =0.58;光臘樹模式R2 =0.88),估算結果和檢核資料之間差異性不大,均在95 %信賴區間內,但略為低估。繪製之像元林分參數空間分布圖與空照圖比較對照結果發現其能清楚反應出平地造林全區的生長狀況,可做為林地經營管理參考指標。 The estimation of forest growing stock is usually affected by availability and subjective determination of setting plot process, which may influence the stock estimation of growing stands. This study is aimed to improve the sampling methods avoiding anthropological affection by using spectral information from satellite images. The spectral information of satellite images was used to establish the growing gradients of target stands and the spectral plots were sampled from each stage of growth. Therefore, the spectral plots were selected from homogenous zones to setup ground plots and develop the stand volume model to estimate forest growing stock and spatial distribution of stand volume. The target stand is the Taiwan Sugar Cooperation afforestation of Zelkova (Zelkova serrata (Thunb.) Makino) and Formosan ash (Fraxinus griffithii C. B. Clarke) located at Guangfu Township, Hualien County. The validation dataset is the sampling data investigated by Taiwan Forest Research Institute during 2009–2010. The result shows that the NDVI spectral data estimating the stand volume has the highest performance among regression models (Zelkova model R2 =0.58, Formosan ash R2 =0.88). The estimating results were within 95% confidence interval, slightly underestimated. However, comparing the pixel spatial distribution of forest stand parameters and the aerial photographs, it clearly reflects the growth status of afforestation, which would be a good indicator for forest management. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/9914 |
全文授權: | 同意授權(全球公開) |
顯示於系所單位: | 森林環境暨資源學系 |
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