Kim Duk-jin, Jung Jungkyo, Kang Ki-mook, Kim Seung Hee, Xu Zhen, Hensley Scott, Swan Aaron, Duersch Michael
School of Earth and Environmental Sciences, Seoul National University, Seoul 151-742, Korea.
Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109, CA, USA.
Sensors (Basel). 2015 Sep 30;15(10):25366-84. doi: 10.3390/s151025366.
Coastal lands and nearshore marine areas are productive and rapidly changing places. However, these areas face many environmental challenges related to climate change and human-induced impacts. Space-borne remote sensing systems may be restricted in monitoring these areas because of their spatial and temporal resolutions. In situ measurements are also constrained from accessing the area and obtaining wide-coverage data. In these respects, airborne remote sensing sensors could be the most appropriate tools for monitoring these coastal areas. In this study, a cost-effective airborne remote sensing system with synthetic aperture radar and thermal infrared sensors was implemented to survey coastal areas. Calibration techniques and geophysical model algorithms were developed for the airborne system to observe the topography of intertidal flats, coastal sea surface current, sea surface temperature, and submarine groundwater discharge.
沿海陆地和近岸海域是多产且快速变化的区域。然而,这些区域面临着许多与气候变化和人为影响相关的环境挑战。星载遥感系统可能因其空间和时间分辨率而在监测这些区域时受到限制。实地测量在进入该区域并获取大面积覆盖数据方面也受到限制。在这些方面,机载遥感传感器可能是监测这些沿海区域的最合适工具。在本研究中,实施了一个配备合成孔径雷达和热红外传感器的经济高效的机载遥感系统来勘测沿海区域。为该机载系统开发了校准技术和地球物理模型算法,以观测潮间带地形、沿海海表面流、海表面温度和海底地下水排放。