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Sensors 2015, 15(10), 25366-25384; doi:10.3390/s151025366

Development of a Cost-Effective Airborne Remote Sensing System for Coastal Monitoring

1
School of Earth and Environmental Sciences, Seoul National University, Seoul 151-742, Korea
2
Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109, CA, USA
3
IMSAR LLC, Springville 84663, UT, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 24 August 2015 / Revised: 24 September 2015 / Accepted: 25 September 2015 / Published: 30 September 2015
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [1724 KB, uploaded 8 October 2015]   |  

Abstract

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. View Full-Text
Keywords: airborne remote sensing; synthetic aperture radar; thermal infrared; coastal monitoring; interferometry airborne remote sensing; synthetic aperture radar; thermal infrared; coastal monitoring; interferometry
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kim, D.-J.; Jung, J.; Kang, K.-M.; Kim, S.H.; Xu, Z.; Hensley, S.; Swan, A.; Duersch, M. Development of a Cost-Effective Airborne Remote Sensing System for Coastal Monitoring. Sensors 2015, 15, 25366-25384.

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