衛星遙測印度尼西亞邦加島 Namang 村Pelawan 紅菇 (Heimioporus sp.)的產量;Remote Sensing of Pelawan Red Mushroom Yield (Heimioporus sp.) in Namang Village, Bangka Island, Indonesia

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題名:	衛星遙測印度尼西亞邦加島 Namang 村Pelawan 紅菇 (Heimioporus sp.)的產量;Remote Sensing of Pelawan Red Mushroom Yield (Heimioporus sp.) in Namang Village, Bangka Island, Indonesia
作者:	安亞迪;Ankafia, Adi
貢獻者:	遙測科技碩士學位學程
關鍵詞:	土地利用;Pelawan 樹;Pelawan 紅蘑菇;遙測產量;LAI;LULC;Pelawan Trees;Pelawan Red Mushroom;Yield Estimation;LAI;Remote Sensing
日期:	2023-08-08
上傳時間:	2024-09-19 17:01:35 (UTC+8)
出版者:	國立中央大學
摘要:	摘要 Pelawan 紅蘑菇(Heimioporus sp.)是一種食用菌，作為外生菌根真菌存在於 Pelawan 樹 (Tristaniopsis merguensis) 的根系中，是生態系中相當重要的資源。邦加島為印尼的主要產地之一，但尚未正確記錄當地蘑菇的潛在種質資源。本研究旨在提供有關使用衛星遙測技術估算 Namang 村 Pelawan 紅蘑菇的產量。由於這種蘑菇與寄主的檳榔樹共生，因此需要先進行地表物種分類以確認檳榔樹面積，還有植被指數，如檳榔樹面積的 NDVI (Normalized Difference Vegetation Index)，EVI (Enhanced Vegetation Index)和 SAVI (Soil Adjusted Vegetation Index)，並藉由葉面積指數(Leaf Area Index, LAI)和植被指數之間的相關性，進行每年 Pelawan 紅蘑菇產量的估算。研究結果顯示，基於 LAI-NDVI 和 LAI-EVI 相關性的估計產量與實際產量間差異的均方根誤差 (RMSE) 值在 2018 年和 2021 年分別為 0.12 和 0.11，表示產量估算模式具有相當的準確性和可靠性，適合實際應用。關鍵詞:土地利用、Pelawan 樹、Pelawan 紅蘑菇、遙測產量、LAI i;Abstract One of the potential germplasms that has not been properly recorded on Bangka Island is indigenous mushrooms, namely Pelawan red mushrooms (Heimioporus sp.) and their potential uses. Pelawan red mushroom is a type of edible fungus that is found in the root system of Pelawan trees (Tristaniopsis merguensis) as an ectomycorrhizal fungus. Research on Pelawan red mushrooms related to yield estimation has never been carried out. This research aimed to provide information related to yield estimation of Pelawan red mushrooms in Namang Village using a remote sensing approach. The observation was conducted 2 times in 2018 and 2021. Because this mushroom exists in symbiosis with Pelawan trees as the host tree, firstly, it is necessary to determine LULC to mark the Pelawan trees area, also vegetation index, including NDVI, EVI, and SAVI in the Pelawan trees area, so that the existing area can help in yield estimation of Pelawan red mushroom for each year. The yield estimation model approach used the correlation between Leaf Area Index (LAI) and the vegetation index. The evaluation demonstrated that Root Mean Squared Error (RMSE) values, which represent the difference between the actual yield and the estimated yield based on the LAI - NDVI and LAI - EVI correlations, were consistently 0.12 and 0.11 in both 2018 and 2021. This indicates the high accuracy and reliability of the estimated models, making them suitable for practical applications. Additionally, Mean Absolute Percentage Error (MAPE) values for the LAI - NDVI correlation were 28.25% in 2018 and 23.23% in 2021, while for the LAI - EVI correlation, the MAPE values were 27.33% in 2018 and 21.44% in 2021. These values further reinforce the notion that the estimation models fall within the range of reasonable estimation, affirming their validity and effectiveness. Keywords: LULC, Pelawan Trees, Pelawan Red Mushroom Yield Estimation, LAI, Remote Sensing. ii
顯示於類別:	[遙測科技碩士學位學程] 博碩士論文

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