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Pages : 61-77    ICESat-2於臺灣本島地形高程之特性分析
論文名稱 ICESat-2於臺灣本島地形高程之特性分析
Title Characteristic Analysis of ICESat-2 Land Elevation in Taiwan
作者 林美佑、林士淵
Author Mei-Yu Lin, Shih-Yuan Lin
中文摘要 ICESat-2 (The Ice, Clouds, and Land Elevation Satellite-2) 為 NASA 於 2018 年發射之雷射測高衛星,目標提供全球性近年高程資料,未來或可作為臺灣大範圍高程資料的另一選擇,故評估其高程於臺灣之精度與特性有其必要性。本研究分析 ICESat-2 ATL08 地形高程於臺灣本島之精度表現,並針對土地覆蓋類別、坡度及海拔高度此三種影響因子分析其高程特性。研究成果指出高程誤差平均值、標準差、均分根誤差分別為-0.337、9.560、9.565 m,且高程誤差隨無植被變為完全植被覆蓋而增加;誤差與坡度具正向關係,整體誤差趨勢線呈持續上升之現象;與海拔高度亦同,然誤差趨勢具轉折處。成果可供 ICESat-2 高程資料應用於臺灣之參考。
Abstract ICESat-2, a laser altimetry satellite launched by NASA in 2018, was designed to provide global elevation data (ATL08). Together with the existing global DEMs, it can be considered as an alternative for users in Taiwan. To understand the performance of this product, the accuracy of the elevation derived from ICESat-2 ATL08 was firstly evaluated in this study. Then the factors influencing elevation accuracy, including land cover type, slope and altitude, were analyzed based on different spatial units. It was indicated that the elevation error increases as the land cover changes from no vegetation to full vegetation coverage. Overall, elevation error increases with slope and elevation. The results are expected to be helpful for the applications of ICESat-2 elevation data in Taiwan as a reference.
關鍵字 ICESat-2、ATL08、衛星測高技術、高程誤差特性
Keywords
Pages : 79-99    綠地結構與思覺失調症之關聯
論文名稱 綠地結構與思覺失調症之關聯
Title Relationships between Green Space Structures and Schizophrenia
作者 張皓庭、吳治達、王榮德、陳柏熹、龍世俊、趙馨、潘文驥、王應然、Samuel Herianto、蘇慧貞
Author Hao-Ting Chang, Chih-Da Wu, Jung-Der Wang, Po-See Chen, Shih-Chun Candice Lung, Hsing Jasmine Chao, Wen-Chi Pan, Ying-Jan Wang, Samuel Herianto, Huey-Jen Su
中文摘要 近年研究揭示綠地暴露對思覺失調症的益處,然而大多以植生指數做為綠地暴露指標,但實際上仍有許多綠地相關的因子可能與疾病有關,例如:綠地的大小、形狀、近鄰性等 (綠地結構指標),不過鮮少有人探討,且還未有研究進一步了解暴露不同綠地結構指標後,可能節省的終身醫療費用。本研究使用健保資料庫、NASA MODIS 衛星影像、第二次國土利用調查資料、地理資訊系統 (ArcGIS) 和 FRAGSTATS 4 來進行研究。研究結果發現暴露的綠地愈綠、面積愈大、形狀愈複雜、綠地彼此之間愈靠近,可能降低罹病風險,且可能節省 0.10 至 0.52 百萬美金的終身醫療費用。
Abstract Recent studies have revealed the benefits of green space exposure for schizophrenia. However, vegetation index is mostly used as indices of green space exposure, but in fact there are still many green space-related factors that may be related to mental disorder, such as the size, shape, and proximity of green spaces (called green space structures), but few studies have investigated it, and there is no research to further estimate the lifetime healthcare costs that may be saved after different indices of green space structure are exposed. This research uses the health insurance database, NASA MODIS satellite images, the second national land survey database, geographic information system (ArcGIS) and FRAGSTATS 4 for research. The results of this study found that the greener the exposed green space is, the larger the area, the more complex the shape, and the closer the green spaces are to each other, which may reduce the risk of schizophrenia and may save 0.10 to 0.52 million US dollars in lifetime healthcare costs.
關鍵字 思覺失調症、綠地結構指標、植生指標、終身醫療費用、健保資料庫
Keywords Schizophrenia, Green Space Structures, Vegetation Index, Lifetime Healthcare Costs, National Health Insurance Research Database
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