A practical DOS model-based atmospheric correction algorithm

References

• Ångstrom, A., 1964, The parameters of atmospheric turbidity. Tellus, 16, pp. 64–75.
   Google Scholar
• Berk, A., Bernstein, L.S., Anderson, G.P., Acharya, P.K., Robertson, D.C., Chetwynd, J.H. and Adler-Gloden, S.M., 1998, Modtran cloud and multiple scattering upgrades with application to AVIRIS. Remote Sensing of Environment, 65, pp. 367–375.
   Web of Science ®Google Scholar
• Bird, R.E. and Riordan, C., 1986, Simple solar spectral model for direct and diffuse irradiance on horizontal and tilted planes at the earth’s surface for cloudless atmospheres. Journal of Climate and Applied Meteorology, 25, pp. 87–97.
   Google Scholar
• Bouffiès, S., Brèon, F.M., Tanrè, D. and Dubuisson, P., 1997, Atmospheric water vapour estimate by a differential absorption technique with the POLDER instrument. Journal of Geophysical Research, 102, pp. 3831–3841.
   Web of Science ®Google Scholar
• Chander, G. and Markham, B., 2003, Revised Landsat 5 TM radiometric calibration procedures and post-calibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 2674–2677.
   Web of Science ®Google Scholar
• Chavez, P.S., 1988, An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, pp. 459–479.
   Web of Science ®Google Scholar
• Chavez, P.S., 1989, Radiometric calibration of Landsat thematic mapper multispectral images. Photogrammetric Engineering and Remote Sensing, 55, pp. 1285–1294.
   Web of Science ®Google Scholar
• Chavez, P.S., 1996, Image-based atmospheric corrections—revisited and improved. Photogrammetric Engineering and Remote Sensing, 62, pp. 1025–1036.
   Web of Science ®Google Scholar
• Christopher, S.A., Zhang, J., Holben, B.N. and Yang, S.K., 2002, Goes-8 and NOAA-14 AVHRR retrieval of smoke aerosol optical thickness during SCAR-B. International Journal of Remote Sensing, 23, pp. 4931–4944.
   Web of Science ®Google Scholar
• Díaz, B.M. and Blackburn, G.A., 2003, Remote sensing of mangrove biophysical properties: evidence from a laboratory simulation of the possible effects of background variation on spectral vegetation indices. International Journal of Remote Sensing, 24, pp. 53–73.
   Web of Science ®Google Scholar
• Diner, D.J., Martonchik, J.V., Kahn, R.A., Pinty, B., Gobron, N., Nelson, D.L. and Holben, B.N., 2005, Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land. Remote Sensing of Environment, 94, pp. 155–171.
   Web of Science ®Google Scholar
• Frouin, R., Deschamps, P-Y. and Lecomte, P., 1990, Determination from space of atmospheric total water vapor amounts by differential absorption near 940 nm: theory and airborne verification. Journal of Applied Meteorology, 29, pp. 448–460.
   Google Scholar
• Gao, B.C., Goetz, F.H., Westwater, E.R., Conel, J.E. and Green, R.O., 1993, Possible near-IR channels for remote sensing of precipitable water vapor from geostationary satellite platforms. Journal of Applied Meteorology, 32, pp. 1791–1801.
   Google Scholar
• Gilabert, M.A., Conese, C. and Maselli, F., 1994, An atmospheric correction method for the automatic retrieval of surface reflectances from TM images. International Journal of Remote Sensing, 15, pp. 2065–2086.
   Web of Science ®Google Scholar
• Guzzi, R., Rizzi, R. and Zibordi, G., 1987, Atmospheric correction of data measured by a flying platform over the sea: elements of a model and its experimental validation. Applied Optics, 26, pp. 3043–3051.
   PubMed Web of Science ®Google Scholar
• Hall, F.G., Strebel, D.E., Nickeson, J.E. and Goetz, S.J., 1991, Radiometric rectification: toward a common radiometric response among multidate, multisensor images. Remote Sensing of Environment, 35, pp. 11–27.
   Web of Science ®Google Scholar
• Hauser, A., Oesch, D., Foppa, N. and Wunderle, S., 2005, NOAA AVHRR derived aerosol optical depth over land. Journal of Geophysical Research - Atmospheres, 110, D08204.
   Web of Science ®Google Scholar
• Holm, R.G., Jackson, R.D., Yuan, B., Moran, M.S., Slater, P.N. and Bigger, S.F., 1989, Surface reflectance factor retrieval from Thematic Mapper data. Remote Sensing of Environment, 27, pp. 47–57.
   Web of Science ®Google Scholar
• Huete, A.R., Jackson, R.D. and Post, D.F., 1985, Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment, 17, pp. 37–53.
   Web of Science ®Google Scholar
• Kasten, F., 1966, A new table and approximate formula for relative optical air mass. Archives of Meteorology Geophysics and Bioclimatology Series B, 14, pp. 206–223.
   Google Scholar
• Kaufman, Y.J., 1989, The atmospheric effect on remote sensing and its correction. In Theory and Application of Optical Remote Sensing, G. Asrar (Ed.), p. 341 (New York: John Wiley & Sons).
   Google Scholar
• Kaufman, Y.J. and Sendra, C., 1988, Algorithm for automatic atmospheric correction to visible and near-IR satellite imagery. International Journal of Remote Sensing, 9, pp. 1357–1381.
   Web of Science ®Google Scholar
• Kaufman, Y.J., Tanré, D., Gordon, H.R., Nakajima, T., Lenoble, J., Frouin, R., Grassl, H., Herman, B.M., King, M.D. and Teillet, P.M., 1997a, Passive remote sensing of tropospheric aerosol and atmospheric correction for the aerosol effect. Journal of Geophysical Research, 102, pp. 16815–16830.
   Web of Science ®Google Scholar
• Kaufman, Y.J., Tanré, D., Remer, L., Vermote, E.F., Chu, A. and Holben, B.N., 1997b, Operational remote sensing of tropospheric aerosol over land from EOS-MODIS. Journal of Geophysical Research, 102, pp. 17051–17067.
   Web of Science ®Google Scholar
• Kaufman, Y.J., Wald, A.E., Remer, L.A., Gao, B.C., Li, R.R. and Flynn, L., 1997c, The MODIS 2.1 μm channel-correlation with visible reflectance for use in remote sensing of aerosol. IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 1286–1298.
   Web of Science ®Google Scholar
• Leckner, B., 1978, The spectral distribution of solar radiation at the earth’s surface-elements of a model. Solar Energy, 20, pp. 143–150.
   Web of Science ®Google Scholar
• Liang, S., Fallah-Adl, H., Kalluri, S., Jájá, J., Kaufman, Y.J. and Townshend, J.R.G.., 1997, An operational atmospheric correction algorithm for Landsat Thematic Mapper imagery over the land. Journal of Geophysical Research, 102, pp. 17173–17186.
   Web of Science ®Google Scholar
• Liang, S. and Fang, H., 2004, An improved atmospheric correction algorithm for hyperspectral remotely sensed imagery. IEEE Geoscience and Remote Sensing Letters, 1, pp. 112–117.
   Web of Science ®Google Scholar
• Liang, S., Fang, H. and Chen, M., 2001, Atmospheric correction of Landsat ETM+ land surface imagery-part 1: methods. IEEE Transactions on Geoscience and Remote Sensing, 39, pp. 2490–2498.
   Web of Science ®Google Scholar
• Lu, D., Mausel, P., Brondizio, E. and Moran, E., 2002, Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. International Journal of Remote Sensing, 23, pp. 2651–2671.
   Web of Science ®Google Scholar
• Moran, M.S., Jackson, R.D., Slater, P.N. and Teillet, P.M., 1992, Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output. Remote Sensing of Environment, 41, pp. 169–184.
   Web of Science ®Google Scholar
• Richter, R., 1996, A spatially adaptive fast atmospheric correction algorithm. International Journal of Remote Sensing, 17, pp. 1201–1214.
   Web of Science ®Google Scholar
• Sobrino, J.A., Jiménez-Muňoz, J.C. and Paolini, L., 2004, Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment, 90, pp. 434–440.
   Web of Science ®Google Scholar
• Sobrino, J.A., El Kharraz, J. and Li, Z.-L., 2003, Surface temperature and water vapour retrieval from MODIS data. International Journal of Remote Sensing, 24, pp. 5161–5182.
   Web of Science ®Google Scholar
• Song, C., Woodcock, C.E., Seto, K.C., Lenney, M.P. and Macomber, S.A., 2001, Classification and change detection using Landsat TM data: when and how to correct atmospheric effects. Remote Sensing of Environment, 75, pp. 230–244.
   Web of Science ®Google Scholar
• Soudani, K., François, C., Maire, G., Dantec, V. and Dufrêne, E., 2006, Comparative analysis of IKONOS, SPOT, and ETM+ data for leaf area index estimation in temperate coniferous and deciduous forest stands. Remote Sensing of Environment, 102, pp. 161–175.
   Web of Science ®Google Scholar
• Stephens, G.L., 1994, Remote Sensing of the Lower Atmosphere, p. 523 (Oxford, UK: Oxford University Press).
   Google Scholar
• Teillet, P.M. and Fedosejevs, G., 1995, On the dark target approach to atmospheric correction of remotely sensed data. Canadian Journal of Remote Sensing, 21, pp. 374–387.
   Google Scholar
• Vermote, E., Tanré, D., Deuzé, J.L., Herman, M. and Morcrette, J.J., 1997, Second simulation of the satellite signal in the solar spectrum: An overview. IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 675–686.
   Web of Science ®Google Scholar
• Xue, Y. and Cracknell, A.P., 1995, Operational bi-angle approach to retrieve the earth surface albedo from AVHRR data in the visible band. International Journal of Remote Sensing, 16, pp. 417–429.
   Web of Science ®Google Scholar
• Zagolski, F. and Gastellu-Etchegorry, J.P., 1995, Atmospheric correction of AVIRIS images with a procedure based on the inversion of the 5S model. International Journal of Remote Sensing, 16, pp. 3115–3146.
   Web of Science ®Google Scholar
• Zheng, W., Liu, C., Zeng, Z.Y. and Long, E., 2007, A feasible atmospheric correction method to TM image. Journal of China University of Mining and Technology, 17, pp. 112–115.
   Google Scholar