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Journal of Sensors
Volume 2017 (2017), Article ID 2151809, 16 pages
https://doi.org/10.1155/2017/2151809
Research Article

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

1National Meteorological Satellite Center, Korea Meteorological Administration, Jincheon-gun 27803, Republic of Korea
2National Institute of Meteorological Sciences, Korea Meteorological Administration, Seogwipo-si 63568, Republic of Korea
3Climate Change Monitoring Bureau, Korea Meteorological Administration, Seoul 07062, Republic of Korea
4Department of Spatial Information Engineering, Pukyong National University, Busan 48513, Republic of Korea

Correspondence should be addressed to Kyung-Soo Han; rk.ca.unkp@nah.oos-gnuyk

Received 27 April 2017; Accepted 22 June 2017; Published 29 November 2017

Academic Editor: Saro Lee

Copyright © 2017 Na-Yeon Park et al. 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.

Abstract

Evapotranspiration (ET) from the land surface is an important hydrometeorological factor in the exchange of energy between the atmosphere and land surface. The accurate quantification for management of water resources and understanding of climate change are crucial, requiring continuous temporal and spatial monitoring. The objective of this study is to apply and estimate daily actual ET using semiempirical method, B-method, which is based on surface energy balance over heterogeneous area, Korea. To estimate daily ET, we used geostationary meteorological satellite data (Communication, Ocean and Meteorological Satellite, COMS) and polar-orbiting satellite data (Système Pour ľObservation de la Terre, SPOT). Estimated daily ET using only satellite data was relatively accurate and reflects land surface characteristics. It had high periodicity and spatial resolution over a wide area on clear-sky days. The daily ET was overestimated by about 1 mm/day at the two flux tower measurements sites, but the simulated seasonal variation and pattern were in good agreement with flux tower measurements. In the mixed forest, the root-mean-square error (RMSE) was 0.94 mm/day and the bias was 1.05 mm/day, while, in the rice paddy, RMSE was 1.12 mm/day and bias was 1.21 mm/day.