Earticle

초록

영어

A single channel land surface temperature (LST) retrieval algorithm named Single Channel Water Vapor Dependent (SCWVD) method was presented for Medium Resolution Spectral Imager (MERSI) thermal infrared band aboard FengYun-3A (FY-3A) satellite. Water Vapor Content (WVC) is the only input parameter in the algorithm assuming the surface emissivity is known. NCEP reanalysis monthly mean datasets were used to develop the SCWVD algorithm. Some tests, including global numerical simulations and validations with both in-situ measurements and MODIS LST product at Lake Tahoe, USA, were carried out to evaluate the algorithm performance. The simulation results showed that the LST could be estimated by the SCWVD algorithm with the root mean square error (RMSE) less than 0.8 K. In the inversion test, MERSI Level 2 water vapor product was employed, and the MERSI band emissivity was calculated using the MODIS band 31 and 32 emissivity by an empirical expression. The results show that the difference between the retrieved MERSI LST and the in-situ measurements is less than 1 K in most situations. The comparison with the MODIS LST products (V5) shows that the RMSE is about 2.3 K.

목차

Abstract
 1. Introduction
 2. Theory and Methodology
  2.1. Atmospheric Radiative Transfer
  2.2. The Simplification of Planck's Function
  2.3. The Derivation of Single Channel Algorithm for MERSI Data
  2.4. Determination of the SCWVD Coefficients
  2.5. Sensitive Analysis
  2.6. Land Surface Emissivity and Water Vapor Content
 3. Results and Discussion
  3.1. Numerical Tests of the Algorithm
  3.2. Tests Using in-situ Measurements in Lake Tahoe and MODIS product:
 3. Conclusions
 Acknowledgments
 References

키워드

저자

• Hailei Liu [ College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu, China, National Satellite Meteorology Center, China Meteorological Administration, Beijing, China ]
• Shenglan Zhang [ College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu, China, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China ]
• Shihao Tang [ National Satellite Meteorology Center, China Meteorological Administration, Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605