台灣處於副熱帶氣候，再加上屬於新褶曲帶，因此地勢陡峭，河流短淺，也因此充滿潛在淺層邊坡滑動的風險，而如何跳脫過去扛著儀器爬山監測的高風險，低價單頻衛星定位模組就成為一種能降低危險，提高地貌觀測效率的方法。 本研究著重於探討淺層邊坡滑動環境下，若使用單頻衛星定位系統(Global Navigation Satellite System, GNSS) 與單晶片微控制器結合，藉由相關軟硬體設備擷取有效觀測資料。目的是透過低價位的可犧牲式元件模組化系統測試，期望可改善以往邊坡滑動監測方法。本研究內容初步規劃以成對單頻定位晶片進行不同基線長度試驗，透過靜態與動態定位解算方法後處理(post-processing)觀測資料，並進一步透過XBee藍芽模組接收並短程傳輸觀測資料，初步模擬未來現地淺層邊坡滑動試驗系統。在後續解算觀測資料的方法上，本研究使用開源解算軟體RTKLIB進行資料後處理，以獲取次米級衛星定位解算成果，可能為未來現地試驗中提供一種更便利，成本也相較以往觀測模式低上許多的衛星定位應用方法。;Taiwan has a subtropical monsoon climate and new fold mountains, so the terrain is steep, with shallow rivers. Therefore, it is full of potential land sliding risks. The low-cost single-frequency satellite positioning module would be a way to improve geomorphic observation efficiency and reduce risk simultaneously. This study explores how to league single-frequency Global Navigation Satellite System (GNSS) and single chip microcomputer, such as Arduino, to obtain valuable observation data through relevant software and hardware equipment in a shallow landslide environment. Expect to improve landslide monitoring by testing low-cost module systems with sacrificial components, this study preliminarily plans to use a single-frequency module for different baseline tests through Static and Kinematic positioning solution methods for post-processing observation data, and further receive short-range observation data through the XBee Bluetooth module. After these, this study used open-source software RTKLIB to deal with post-processing data for required sub-meter level satellite positioning resolution. This study provides a more convenient and cost-down device and method, resulting in a positioning application for the landslide monitoring practice.
