1 |
Lee, K. S. and J. S. Yoon, 1997. Radiometric Correction of Terrain Effects for SPOT and Landsat TM Imagery in Mountainous Forest Area, Korean Journal of Remote Sensing, 13(3): 277-292.
DOI
|
2 |
Lee, S., M. Choi, J. Kim, M. Kim, and H. Lim. 2017. Retrieval of Aerosol Optical Depth with High Spatial Resolution using GOCI Data, Korean Journal of Remote Sensing, 33(6-1): 961-970 (in Korean with English abstract).
DOI
|
3 |
Liang, S., H. Fang, and M. Chen, 2001. Atmospheric Correction of Landsat ETM+ Land Surface Imagery - Part I: Methods, IEEE Transaction on Geoscience and Remote Sensing, 39(11): 2490-2498.
DOI
|
4 |
Kaufman, Y. J. and B. C. Gao, 1992. Remote sensing of water vapor in the near IR from EOS/MODIS, IEEE Transaction on Geoscience and Remote Sensing, 30(5): 871-884.
DOI
|
5 |
Chavez, P.S., 1996. Image-based atmospheric correc - tions-revisited and improved, Photogrammetric Engineering and Remote Sensing, 62(9): 1025-1035.
|
6 |
Cracknell, A. P. and L. W. B. Hayes, 1991. Introduction to Remote Sensing, Taylor & Francis, London, U.K.
|
7 |
Del Pozo, S., P. Rodriguez-Gonzalvez, D. Hernandez-Lopez, and B. Felipe-Garcia, 2014. Vicarious radiometric calibration of a multispectral camera on board an unmanned aerial system, Remote Sensing, 6(3): 1918-1937.
DOI
|
8 |
Eidenshink, J. C., 1992. The 1990 Conterminous U.S. AVHRR Data Set, Photogrammetric Engineering and Remote Sensing, 58(6): 809-813.
|
9 |
Fensholt, R., I. Sandholt, S. Stisen, and C. Tucker, 2006. Analysing NDVI for the African continent using the geostationary meteosat second generation SEVIRI sensor, Remote Sensing of Environment, 101(2): 212-229.
DOI
|
10 |
Frantz, D., M. Stellmes, and P. Hostert, 2019. Global MODIS Water Vapor Database for the Operational Atmospheric Correction of Historic and Recent Landsat Imagery, Remote Sensing, 11(3): 257.
DOI
|
11 |
Gao, B. and Y. J. Kaufman, 1990. Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data, Journal of Geophysical Research, 95(4): 3549-3564.
DOI
|
12 |
Ahn, H. Y., S. I. Na, C. W. Park, K. H. So, and K. D. Lee, 2018. Atmospheric Correction Effectiveness Analysis of Reflectance and NDVI Using Multispectral Satellite Image, Korean Journal of Remote Sensing, 34(6): 981-996 (in Korean with English abstract).
DOI
|
13 |
Gordon, H. R. and D. K. Clark, 1981. Clear water radiances for atmospheric correction of coastal zone color scanner imagery, Applied Optics, 20(24): 4175-4180.
DOI
|
14 |
Abelleyraa, D. and S. R. Veron, 2014. Comparison of different BRDF correction methods to generate daily normalized MODIS 250 m time series, Remote Sensing of Environment, 140: 46-59.
DOI
|
15 |
Manakos, I., K. Manevski, C. Kalaitzidis, and D. Edler, 2011. Comparison between atmospheric correction on the basis of Worldview-2 imagery and in situ spectroradiometric measurements, Proc. of 7th EARSeL SIG Imaging Spectroscopy workshop, Edinburgh, UK, Apr. 11-13, pp. 11-13.
|
16 |
Mannschatz, T., B. Pflug, E. Borg, K.-H. Feger, and P. Dietrich, 2014. Uncertainties of LAI estimation from satellite imaging due to atmospheric correction, Remote Sensing of Environment, 153: 24-39.
DOI
|
17 |
Mei, L., C. Zhao, G. de Leeuw, J. P. Burrows, V. Rozanov, H. Che, M. Vountas, A. Ladstatter-Weissenmayer, and X. Zhang, 2019. A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China, Journal of Geophysical Research: Atmospheres, https://doi.org/10.1029/2018JD029929.
|
18 |
Rani, N., V. R. Mandla, and T. Singh, 2017. Evaluation of atmospheric corrections on hyperspectral data with special reference to mineral mapping, Geoscience Frontiers, 8: 797-808.
DOI
|
19 |
Yeom, J., K. Han, and Y. Kim, 2005. A Reflectance Normalization Via BRDF Model for the Korean Vegetation using MODIS 250m data, Korean Journal of Remote Sensing, 21(6): 445-456 (in Korean with English abstract).
DOI
|
20 |
Na, S. I., C. W. Park, Y. K. Cheong, C. S. Kang, I. B. Choi, and K. D. Lee, 2016. Selection of Optimal Vegetation Indices for Estimation of Barley & Wheat Growth based on Remote Sensing: An Application of Unmanned Aerial Vehicle and Field Investigation Data, Korean Journal of Remote Sensing, 32(5): 483-497 (in Korean with English abstract).
DOI
|
21 |
Song, C., C. E. Woodcock, K. C. Seto, M. P. Lenney, and S. A. Macomber, 2001. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?, Remote Sensing of Environment, 75: 230-244.
DOI
|
22 |
Remer, L. A., Y. J. Kaufman, D. Tanre, S. Mattoo, D. A. Chu, J. V. Martins, R. R. Li, C. Ichoku, R. C. Levy, R. G. Kleidman, T. F. Eck, E. Vermote, and B. N. Holben, 2005. The MODIS aerosol algorithm, products, and validation, Journal of the Atmospheric Sciences, 62(4): 947-973.
DOI
|
23 |
Roujean. J. L., M. Leroy, and P. Y. Deschamps, 1992. A Bidirectional Reflectance Model of the Earth's Surface for the Correction of Remote Sensing Data, Journal of Geophysical Research, 97(D18): 20455-20468.
DOI
|
24 |
Schlapfer, D., C. C. Borel, J. Keller, and K. I. Itten, 1998. Atmospheric precorrected differential absorption technique to retrieve column water vapor, Remote Sensing of Environment, 65: 353-366.
DOI
|
25 |
Sturm, B., 1981. The atmospheric correction of remotely sensed data and the quantitative determination of suspended matter in marine water surface layers, In: A. P. Cracknell (ed), Remote Sensing in Meteorology, Oceanography and Hydrology, Ellis Horwood, U.K., pp. 163-197.
|
26 |
Goward, S. N., B. Markham, D. G. Dye, W. Dulaney, and J. Yang, 1991. Normalized difference vegetation index measurements from the advanced very high resolution radiometer, Remote Sensing of Environment, 35(2-3): 257-277.
DOI
|
27 |
Guo, Y., J. Senthilnath, W. Wu, X. Zhang, Z. Zeng, and H. Huang, 2019. Radiometric calibration for multispectral camera of different imaging conditions mounted on a UAV platform, Sustainability, 11(4): 978.
DOI
|
28 |
Wu, J., D. Wang, and M.E. Bauer, 2005. Image-based atmospheric correction of QuickBird imagery of Minnesota cropland, Remote Sensing of Environment, 99(3): 315-325.
DOI
|
29 |
Jethva, H., O. Torres, and Y. Yoshida, 2019. Accuracy assessment of MODIS land aerosol optical thickness algorithms using AERONET measurements over North America, Atmospheric Measurement Techniques, 12(8): 4291-4307.
DOI
|
30 |
Bernard, E., C. Moulin, D. Ramon, D. Jolivet, J. Riedi, and J.-M. Nicolas, 2011. Description and validation of an AOT product over land at the 0.6 m channel of the SEVIRI sensor onboard MSG, Atmospheric Measurement Techniques, 4: 2543-2565.
DOI
|
31 |
Kaufman, Y. J., D. Tanré, L. A. Remer, E. F. Vermote, A. Chu, and B. N. Holben, 1997. Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectrora - diometer, Journal of Geophysical Research, 102(D14): 17051-17068.
DOI
|
32 |
Karpouzli, E. and T. Malthus, 2003. The empirical line method for the atmospheric correction of IKONOS imagery, International Journal of Remote Sensing, 24(5): 1143-1150.
DOI
|
33 |
Kim, S. H., S. J. Kang, J. H. Chi, and K. S. Lee, 2007. Absolute atmospheric correction procedure for EO-1 Hyperion data using MODTRAN code, Korean Journal of Remote Sensing, 23(1): 7-14.
DOI
|
34 |
Lee, H. S. and K. S. Lee, 2014. Analysis of Diurnal variation on canopy reflectance, Proc. of the Korean Society of Remote Sensing Fall Conference 2014, Jeju, Korea, Oct. 16-19. pp. 423-426 (in Korean).
|
35 |
Lee, H. S. and K. S. Lee, 2015. Atmospheric Correction Problems with Multi-Temporal High Spatial Resolution Satellite Images from Different Sensor Systems, Korean Journal of Remote Sensing, 31(4): 321-330.
DOI
|
36 |
Vermote, E. and A. Vermeulen. 1999. Atmospheric Correction Algorithm: Spectral reflectance (MOD09), Algorithm Technical Background Document, Version 4.0, NASA, Washington, D.C., USA.
|
37 |
Lee, H. S. and K. S. Lee, 2018. Operational Atmospheric Correction Method over Land Surfaces for GOCI Images, Korean Journal of Remote Sensing, 34(1): 127-139.
DOI
|
38 |
Lee, K. H. and Y. J. Kim, 2008. Sensitivity of COMS/GOCI Measured Top-of-atmosphere Reflectance to Atmospheric Aerosol Properties, Korean Journal of Remote Sensing, 24(6): 559-569 (in Korean with English abstract).
DOI
|
39 |
Vermote, E. and N. El Saleous, 2006. Operational Atmospheric Correction of MODIS Visible and Middle Infrared Land Surface Data in the Case of an Infinite Lambertian Target, In: Qu, J. J., W. Gao, M. Kafatos, R. E. Murphy, V. V. Salomonson (Eds.), Earth Science Satellite Remote Sensing: Vol. 1: Science and Instruments, Springer, Berlin, Heidelberg, Germany, pp. 123-153.
|
40 |
Vermote, E., N. El Saleous, C. O. Justice, Y. J. Kaufman, J. L. Privette, L. Remer, J. C. Roger, and D. Tanre, 1997. Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: background, operational algorithm and validation. Journal of Geophysical Research-Atmosphere, 102(D14): 17131-17141.
DOI
|
41 |
Wang, C. and S. W. Myint, 2015. A simplified empirical line correction method of radiometric calibration for small unmanned aircraft systemsbased remote sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(5): 1876-1885.
DOI
|