[논문]An Atmospheric Correction Using High Resolution Numerical Weather Prediction Models for Satellite-Borne Single-Channel Mid-Wavelength and Thermal Infrared Imaging Sensors

Lee, Hongtak; Won, Joong-Sun; Park, Wook

doi:10.3390/rs12050853

[해외논문] An Atmospheric Correction Using High Resolution Numerical Weather Prediction Models for Satellite-Borne Single-Channel Mid-Wavelength and Thermal Infrared Imaging Sensors 원문보기

Remote sensing, v.12 no.5, 2020년, pp.853 -

Lee, Hongtak (Satellite Application Division, Satellite Operation and Application Center, Korea Aerospace Research Institute, Daejeon 34133, Korea) , Won, Joong-Sun (Department of Earth System Science, Yonsei University, Seoul 03722, Korea) , Park, Wook (Department of Earth System Science, Yonsei University, Seoul 03722, Korea)

Abstract ▼ AI-Helper

This paper presents a single-channel atmospheric correction method for remotely sensed infrared (wavelength of 3-15 μm) images with various observation angles. The method is based on basic radiative transfer equations with a simple absorption-focused regression model to calculate the optical thickness of each atmospheric layer. By employing a simple regression model and re-organization of atmospheric profiles by considering viewing geometry, the proposed method conducts atmospheric correction at every pixel of a numerical weather prediction model in a single step calculation. The Visible Infrared Imaging Radiometer Suite (VIIRS) imaging channel (375 m) I4 (3.55~3.93 μm) and I5 (10.50~12.40 μm) bands were used as mid-wavelength and thermal infrared images to demonstrate the effectiveness of the proposed single-channel atmospheric correction method. The estimated sea surface temperatures (SSTs) obtained by the proposed method with high resolution numerical weather prediction models were compared with sea-truth temperature data from ocean buoys, multichannel-based SST products from VIIRS/MODIS, and results from MODerate resolution atmospheric TRANsmission 5 (MODTRAN 5), for validation. High resolution (1.5 km and 12 km) numerical weather prediction (NWP) models distributed by the Korea Meteorological Administration (KMA) were employed as input atmospheric data. Nighttime SST estimations with the I4 band showed a root mean squared error (RMSE) of 0.95 °C, similar to that of the VIIRS product (RMSE: 0.92 °C) and lower than that of the MODIS product (RMSE: 1.74 °C), while estimations with the I5 band showed an RMSE of 1.81 °C. RMSEs from MODTRAN simulations were similar (within 0.2 °C) to those of the proposed method (I4: 0.81 °C, I5: 1.67 °C). These results demonstrated the competitive performance of a regression-based method using high-resolution numerical weather prediction (NWP) models for atmospheric correction of single-channel infrared imaging sensors.

참고문헌 (30)

Wan A generalized split-window algorithm for retrieving land-surface temperature from space IEEE Trans. Geosci. Remote Sens. 1996 10.1109/36.508406 34 892

상세보기
Sobrino A generalized single-channel method for retrieving land surface temperature from remote sensing data J. Geophys. Res.: Atmos. 2003 108 4688
Li Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX Remote Sens. Environ. 2004 10.1016/j.rse.2004.02.018 92 521

상세보기
Sobrino Revision of the single-channel algorithm for land surface temperature retrieval from Landsat thermal-infrared data IEEE Trans. Geosci. Remote Sens. 2009 10.1109/TGRS.2008.2007125 47 339

상세보기
10.1007/978-3-642-42027-6 Tang, H., and Li, Z.L. (2013). Quantitative Remote Sensing in Thermal Infrared: Theory and Applications, Springer Science & Business Media.
Ulivieri A split window algorithm for estimating land surface temperature from satellites Adv. Space Res. 1994 10.1016/0273-1177(94)90193-7 14 59

상세보기
Yu Land surface temperature retrieval from Landsat 8 TIRS-Comparison between radiative transfer equation-based method, split window algorithm and single channel method Remote Sens. 2014 10.3390/rs6109829 6 9829

상세보기
Zheng A new thermal infrared channel configuration for accurate land surface temperature retrieval from satellite data Remote Sens. Environ. 2019 10.1016/j.rse.2019.111216 231 111216

상세보기
10.3390/rs11243025 Zhang, S., Duan, S.B., Li, Z.L., Huang, C., Wu, H., Han, X.J., and Gao, M. (2019). Improvement of Split-Window Algorithm for Land Surface Temperature Retrieval from Sentinel-3A SLSTR Data Over Barren Surfaces Using ASTER GED Product. Remote Sens., 11.

상세보기
Barsi Landsat TM and ETM+ thermal band calibration Can. J. Remote Sens. 2003 10.5589/m02-087 29 141

상세보기
Wang A practical single-channel algorithm for land surface temperature retrieval: Application to Landsat series data J. Geophys. Res.: Atmos. 2019 10.1029/2018JD029330 124 299

상세보기
Sobrino A single-channel algorithm for land-surface temperature retrieval from ASTER data IEEE Geosci. Remote Sens. Lett. 2010 10.1109/LGRS.2009.2029534 7 176

상세보기
10.3390/rs10030431 Cristóbal, J., Jiménez-Muñoz, J.C., Prakash, A., Mattar, C., Skoković, D., and Sobrino, J.A. (2018). An Improved Single-Channel Method to Retrieve Land Surface Temperature from the Landsat-8 Thermal Band. Remote Sens., 10.

상세보기
Barsi, J.A., Barker, J.L., and Schott, J.R. (2003, January 21-25). An atmospheric correction parameter calculator for a single thermal band earth-sensing instrument. Proceedings of the IGARSS 2003, Toulouse, France. IEEE Cat. No. 03CH37477.
Srivastava Estimation of land surface temperature from atmospherically corrected LANDSAT TM image using 6S and NCEP global reanalysis product Environ. Earth Sci. 2014 10.1007/s12665-014-3388-1 72 5183

상세보기
10.3390/rs8090696 Tardy, B., Rivalland, V., Huc, M., Hagolle, O., Marcq, S., and Boulet, G. (2016). A software tool for atmospheric correction and surface temperature estimation of Landsat infrared thermal data. Remote Sens., 8.

상세보기
Islam A physics-based algorithm for the simultaneous retrieval of land surface temperature and emissivity from VIIRS thermal infrared data IEEE Trans. Geosci. Remote Sens. 2017 10.1109/TGRS.2016.2611566 55 563

상세보기
Cao Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring J. Geophys. Res. Atmos. 2013 10.1002/2013JD020418 118 11

상세보기
Korea Meteorological Administration (KMA) (2013). Application Manual of Numerical Forecast Data, Korea Meteorological Administration (KMA).
Liou, K.N. (2002). An Introduction to Atmospheric Radiation, Elsevier. [2nd ed.].
Meador Two-stream approximations to radiative transfer in planetary atmospheres: A unified description of existing methods and a new improvement J. Atmos. Sci. 1980 10.1175/1520-0469(1980)037<0630:TSATRT>2.0.CO;2 37 630

상세보기
Lee, K.M. (2000). Atmospheric Radiation, Sigma Press. [1st ed.].
Griffin Understanding radiative transfer in the midwave infrared: A precursor to full-spectrum atmospheric compensation. In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X Int. Soc. Opt. Photonics 2004 5425 348
Saunders An update on the RTTOV fast radiative transfer model (currently at version 12) Geosci. Model Dev. 2018 10.5194/gmd-11-2717-2018 11 2717

상세보기
Carmichael, R. (2003). Geopotential and Geometric Altitude, Public Domain of Aeronautical Software (PDA).
Caselles A simple equation for determining sea surface emissivity in the 3-15 µ m region Int. J. Remote Sens. 2009 10.1080/01431160802541523 30 1603

상세보기
Baldridge The ASTER Spectral Library Version 2.0 Remote Sens. Environ. 2009 10.1016/j.rse.2008.11.007 113 711

상세보기
Korea Meteorological Administration (KMA) (2015). Explanation Document of Meteorological Data; Marine Weather Buoys, Wave Height Buoys, Marine Light Beacons, Korea Meteorological Administration (KMA).
NOAA Office of Satellite and Product Operations (OSPO) (2015). GHRSST GDS2 Level 2P Global Skin Sea Surface Temperature from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite created by the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO), PO.DAAC. Ver. 2.4.
JPL/OBPG/RSMAS (2016). GHRSST Level 2P Global Skin Sea Surface Temperature from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua satellite, PO.DAAC. Ver. 2014.0.

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