论文标题
ERO:海洋学高光谱成像和ARGOS跟踪Cubesat
AEROS: Oceanographic Hyperspectral Imaging and Argos-Tracking CubeSat
论文作者
论文摘要
爱神(Eros)是一个3U立方体的探路者,朝着未来的海洋观察星座,以葡萄牙大西洋地区为目标。 ERO具有微型,高分辨率高光谱成像仪(HSI),5MP RGB摄像头和软件定义的无线电(SDR)。传感器生成的数据将在新的基于Web的数据分析中心(DAC)中为最终用户进行处理和汇总。 HSI具有150个频谱连续带,覆盖了10 nm带宽的近红外。 HSI收集了海洋颜色数据,以支持对海洋特征的研究,已知会影响海洋生物的时空分布和运动行为。 SDR的使用扩展了ERO的运营和通信范围,并允许远程重新配置。 SDR收到,解调和重传的持续时间短,来自标记的海洋生物,自动驾驶汽车,地下浮子和浮标。未来的DAC将利用其在利益相关者和科学网络中传播数据的能力,收集,存储,处理和分析获得的数据。在面对快速变化的环境时,动物传播的Argos平台位置和海洋学数据的相关性将促进渔业管理,基于生态系统的管理,监测海洋保护区的管理,监测海洋保护区以及生物传播研究。例如,HSI收集的海洋数据的相关性,用RGB摄像机和鱼类位置的补充图像进行地理位置,将为研究人员提供几乎实时的实时估计,以估计通过感兴趣的物种选择的区域内的基本海洋变量。
AEROS is a 3U CubeSat pathfinder toward a future ocean-observing constellation, targeting the Portuguese Atlantic region. AEROS features a miniaturized, high-resolution Hyperspectral Imager (HSI), a 5MP RGB camera, and a Software Defined Radio (SDR). The sensor generated data will be processed and aggregated for end-users in a new web-based Data Analysis Center (DAC). The HSI has 150 spectrally contiguous bands covering visible to near-infrared with 10 nm bandwidth. The HSI collects ocean color data to support studies of oceanographic characteristics known to influence the spatio-temporal distribution and movement behavior of marine organisms. Usage of an SDR expands AEROS's operational and communication range and allows for remote reconfiguration. The SDR receives, demodulates, and retransmits short duration messages, from sources including tagged marine organisms, autonomous vehicles, subsurface floats, and buoys. The future DAC will collect, store, process, and analyze acquired data, taking advantage of its ability to disseminate data across the stakeholders and the scientific network. Correlation of animal-borne Argos platform locations and oceanographic data will advance fisheries management, ecosystem-based management, monitoring of marine protected areas, and bio-oceanographic research in the face of a rapidly changing environment. For example, correlation of oceanographic data collected by the HSI, geolocated with supplementary images from the RGB camera and fish locations, will provide researchers with near real-time estimates of essential oceanographic variables within areas selected by species of interest.