2013-01-012024-05-15https://scholars.lib.ntu.edu.tw/handle/123456789/661745摘要：全球的氣候變化在最近幾十年對於生物領域代謝循環中有顯著的變化，此變化在全球及區域陸域環境會產生其巨大影響，並且會對社會和經濟帶來附隨的損害，其所造成的衝擊需要區域尺度頻繁生態系統監測才得以評估。因此此研究的目的是系統化監測台灣自然陸域系統生物地球化學，水文及能量循環。為了做到這一點，我們將設置一個稱為EcoNTU(生態系統監測網絡)資料整合研究網絡。在這個計畫中，我們提出了一個創新方法，利用氣候感測技術，整合不同尺度的田野調查、無人載具引導高光譜影像監測這些生態系統的空間及時間動態。其主要目標是在全球變化的世代，建立出一個環境監測網絡，能對廣大地區做很詳細準確的生態系統品質評估。 EcoNTU結合了多尺度監測，包括現地尺度，頻繁的渦流通量測量、氣象訊息、水流、生物地球化學及跨尺度季節性高光譜與多光譜遙測觀測。本計畫第一年的研究重點在加強資料蒐集的自動化，第二年的研究將開始整合這些資料，研究重點將放在大尺度流域氮輸出監測，高山烏龍茶品質判識、以及應用窄光譜無人飛機所蒐集的影像偵測外來種植物的分布。<br> Abstract: Global climate change has significantly altered the metabolic cycles of biosphere in the recent decades. It would induce tremendous impacts on terrestrial environments regionally and globally, and trigger collateral damages on the society and economy. The ramifications are difficult to assess without frequent ecosystem observations at the regional scale. Therefore, this research is designed to monitor the “vital signs” of Taiwan’s natural terrestrial environment: biogeochemical, hydrological and energy cycles. To do that, we will set up a network of research sites that are representative to Taiwan’s main ecosystems, namely EcoNTU (Ecosystem Complexity Observatories for a Network of Terrestrial Units). In this project, we propose an innovative approach that utilizes synoptic sensing techniques to integrate different scales of field observations, and unmanned aerial vehicle (UAV) guided hyperspectral images to investigate the spatial and temporal dynamics of these systems for the coming years. The primary objective is to establish a prototype of environmental observation network that can rapidly and accurately assess the conditions of ecosystems in great detail over a vast region in the era of global change. EcoNTU combines multi-scale observations including local scale, frequent measurements of eddy covariance flux, meteorological information, stream flow, biogeochemistry; and cross-scale seasonal remotely sensed biophysical observations at a sub-meter ground sampling distance. The first year’s research focus was on the enhancement of data acquisition systematicity. In the following year, we will start synthesizing these data to estimate the export of nitrogen from watersheds, spectroscopically assessing the quality of mountain oolong tea and mapping the invasion of alien plants using narrow-band UAV images.生物地球化學渦流相關法通量塔高光譜遙測氮色素無人航空載具分水嶺biogeochemistryeddy-covariance methodflux towerhyperspectral remote sensingnitrogenpigmentunmanned aerial vehiclewatershed