https://ir.lib.ncu.edu.tw/handle/987654321/150 Search the Channel s https://ir.lib.ncu.edu.tw/simple-search https://ir.lib.ncu.edu.tw/handle/987654321/99231 title: 應用無人機多光譜影像於藻礁之分析;Application of UAV-Based Multispectral Imagery for the Analysis of Algal Reefs abstract: 桃園藻礁為臺灣沿岸珍貴且具代表性的潮間帶生態地形，兼具地質、景觀與生態價值。然而，藻礁環境長期受到覆沙作用之影響，其礁體分布範圍與表層藻類生長狀態容易隨環境條件而變動。傳統藻礁監測方式多仰賴人工現地調查，調查工作常受限於潮汐時段與天候條件，亦難以同時掌握大範圍且具高空間解析度之變化特徵。 為提升潮間帶藻礁監測之效率與空間解析度，本研究結合無人機（Unmanned Aerial Vehicle, UAV）與多光譜遙測技術，採用P4 Multispectral（P4M）無人機，於桃園大潭 G1 區域進行兩個時期之多光譜影像航拍與分析。研究流程包含影像蒐集、影像前處理、人工圈選藻礁之可視裸露分布範圍、植生指數計算與資料分析等階段，並利用 Pix4Dmapper 影像處理軟體進行幾何與相對輻射校正，建立具地理參考之多波段正射影像（GeoTIFF）。後續於 ArcGIS 地理資訊軟體中計算 NDVI、NDRE、SAVI、OSAVI、MSAVI、NDWI 與 EVI 指數，以比較藻礁與覆沙區域之光譜差異特性。 研究結果顯示，多光譜影像能有效呈現藻礁與覆沙區域之光譜差異，其中紅邊（Red Edge）與近紅外（NIR）波段對藻礁表層反射特徵具較高敏感性；NDVI 與 NDRE 指數於藻礁分布分析中表現相對穩定，適合用於區域尺度之相對比較。 本研究驗證 UAV 多光譜影像應用於潮間帶藻礁監測之可行性，並建立一套具實務可行性之分析流程，可作為未來藻礁長期監測與沿岸生態保育之技術應用參考。;The Taoyuan algal reefs are a valuable and representative intertidal geomorphic feature along the coast of Taiwan, possessing important geological, landscape, and ecological significance. However, the algal reef environment has long been affected by sand burial processes, causing the spatial distribution of reef bodies and the growth conditions of surface algae to vary with environmental conditions. Traditional monitoring of algal reefs relies mainly on field surveys, which are constrained by tidal conditions and weather, making it difficult to simultaneously capture large-area changes with high spatial resolution. To improve the efficiency and spatial resolution of intertidal algal reef monitoring, this study integrates unmanned aerial vehicle (UAV) technology with multispectral remote sensing. A P4 Multispectral (P4M) UAV was used to acquire multispectral imagery over the G1 area of Datan, Taoyuan, during two survey periods. The research workflow includes image acquisition, image preprocessing, manual delineation of visually exposed algal reef areas, vegetation index calculation, and data analysis. Geometric correction and relative radiometric correction were performed using Pix4Dmapper to generate georeferenced multispectral orthomosaic images (GeoTIFF). Subsequently, vegetation and water-related indices—including NDVI, NDRE, SAVI, OSAVI, MSAVI, NDWI, and EVI—were calculated in ArcGIS to compare the spectral characteristics of algal reef and sand-covered areas. The results indicate that multispectral imagery can effectively reveal spectral differences between algal reefs and sand-covered substrates. Among the spectral bands, the red-edge (Red Edge) and near-infrared (NIR) bands exhibit higher sensitivity to the surface reflectance characteristics of algal reefs. In addition, the NDVI and NDRE indices show relatively stable performance in analyzing the spatial distribution of algal reefs and are suitable for regional-scale comparative analysis. This study demonstrates the feasibility of applying UAV-based multispectral imagery for monitoring intertidal algal reef environments and establishes a practical analysis workflow. The proposed approach can serve as a technical reference for future long-term algal reef monitoring and coastal ecological conservation applications. <br> Fri, 06 Mar 2026 10:23:28 GMT https://ir.lib.ncu.edu.tw/handle/987654321/98921 title: 自然科學及永續研究圖書服務計畫地球科學領域II;Nature Science Library Service Project( III ) abstract: 研究方式：學術補助 ;研究期間：11401 ~ 11412;研究領域：其他（工）； <br> Fri, 23 Jan 2026 08:07:09 GMT https://ir.lib.ncu.edu.tw/handle/987654321/98920 title: 自然科學及永續研究圖書服務計畫(115年至117年)地球科學領域;The Library Service Project of the Earth Science Research Promotion Center (115/01~117/12) abstract: 本計畫審慎運用國科會經費，致力蒐藏地質、地物、海洋、大氣、空間、永續、防災重要期刊與專書，經由開放閱覽、館際合作等途徑，提供全國學者最即時、便利的資訊服務，協助培育地球科學優秀人才、產生傑出的學術研究成果，提升國內及國際研究競爭力。 <br> Fri, 23 Jan 2026 08:07:08 GMT https://ir.lib.ncu.edu.tw/handle/987654321/98919 title: 115年度臺灣海域地震與海嘯觀測之相關研究;Research of 2026 Earthquake and Tsunami Observation in Taiwan Sea Area abstract: 臺灣位處於菲律賓海板塊與歐亞大陸板塊交界帶，該區域斷層與海溝分布極為複雜，屬於環太平洋地震帶上具高度地震與海嘯潛勢之地區。歷史記錄顯示，臺灣沿海曾多次遭受海嘯侵襲，顯示其地理位置所帶來之天然災害風險不容忽視。隨著近年觀測技術之進展，地震中心已於臺灣周邊海域部署多條海底電纜監測系統，提供極高時空解析度之觀測資料，為地震及其引發之海嘯研究開啟全新契機。 本計畫運用地震中心所建置之豐富海底電纜觀測資料，結合 COMCOT 海嘯數值模式進行模擬與分析，探討外海電纜所記錄之海嘯波形與臺灣主要港口所受海嘯影響之關聯性。進一步分析海嘯源規模變化對外海電纜觀測與港口波高之對應關係，建立可供預警應用之量化關係模型。透過本研究，期能建立外海即時觀測資料與沿岸衝擊之量化轉換關係，使交通部中央氣象署得以在海嘯發生初期，即利用海底電纜即時資料輔助判斷沿岸港口潛在衝擊程度，提升海嘯預警發布之即時性與可靠性，強化國家整體海嘯防災決策能力。 更利用多年連續海纜資料，建立台灣外海深海背景噪訊基準模型，並解析噪訊能量與海象因子之間的物理關聯性，以量化海況對地震與海嘯監測性能的影響。我們採用國際標準之 PSD/PDF 分析框架，建立不同季節、海況與水深條件下的噪訊統計圖集，辨識如infragravity waves、微震能量與環境因子的耦合關係。進一步透過互相關（CCF）與頻譜相干性（MSC）分析，探討局地風浪與遠端湧浪的相對貢獻，並評估極端海象對偵測閾值與長週期訊號擷取的影響。 本研究將補足過去短期 OBS實驗無法呈現的年際變化，建立首套台灣外海深海噪訊基準與動態偵測能力評估模型，對提升海嘯預警參數化、海纜站位布局及外海地震監測效能具有重要科學與實務價值。 ;Taiwan is located at the convergent boundary between the Philippine Sea Plate and the Eurasian Plate, where the distribution of faults and trenches is highly complex. This region is part of the seismically active Pacific Ring of Fire and is considered to have a high potential for both earthquakes and tsunamis. Historical records indicate that Taiwan's coastal areas have been affected by tsunamis multiple times, underscoring the significant natural disaster risk posed by its geographic location. With advancements in observational technology in recent years, the Central Weather Administration has deployed multiple submarine cable monitoring systems in the waters surrounding Taiwan. These systems provide high-resolution spatiotemporal data, offering new opportunities for advancing the study of earthquakes and tsunami generation. This project aims to utilize the extensive submarine cable observation data established by the seismic monitoring network and integrate it with the COMCOT tsunami numerical model to conduct simulations and analyses. The goal is to investigate the correlation between offshore tsunami waveforms recorded by submarine cables and the tsunami impacts observed at major ports in Taiwan. Furthermore, the project will analyze how variations in tsunami source magnitude influence the relationship between offshore cable observations and port wave heights, with the objective of developing a quantitative correlation model applicable to early warning systems. Through this research, we seek to enhance scientific understanding of tsunami hazards under diverse seismic source scenarios and provide more accurate and reliable data to support operational tsunami early warning and decision-making at the Central Weather Administration. This study uses multi-year submarine-cable seismic data to establish a deep-ocean ambient noise baseline for offshore Taiwan and to quantify how ocean conditions influence seismic and tsunami monitoring performance. Using the PSD/PDF framework, we construct seasonal and depth-dependent noise statistics and identify the roles of infragravity waves, microseisms, and environmental forcing. Cross-correlation (CCF) and magnitude-squared coherence (MSC) analyses further distinguish the contributions of local wind waves and remote swells, and assess how extreme sea states affect detection thresholds. This work fills the gap left by short-term OBS deployments and provides the first long-term noise baseline and detection capability assessment for Taiwan’s offshore region, supporting improved tsunami warning and cable-station planning. <br> Fri, 23 Jan 2026 08:06:47 GMT