Aerosol mapping over land with imaging spectroscopy using spectral autocorrelation

International Journal of Remote Sensing

Volumn 25, Issue 22, 2004, Pages 5025-5047

  Bojinski, S ^a,b,c   Schlapfer D ^a   Schaepman, M ^a   Keller, J ^b   Itten, K ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b PAUL SCHERRER INSTITUTE   (Switzerland)

^c WORLD METEOROLOGICAL ORGANIZATION   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOLS; APPROXIMATION THEORY; CORRELATION METHODS; DATABASE SYSTEMS; SPECTRUM ANALYSIS;

AEROSOL RETRIEVAL; IMAGING SPECTROMETERS; LAND; OPTICAL DEPTH;

IMAGING TECHNIQUES;

AEROSOL; AVIRIS; OPTICAL DEPTH; REMOTE SENSING; SPECTRAL RESOLUTION; VERTICAL PROFILE;

EID: 8844256274     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160410001719830     Document Type: Article

References (39)

1. Asner, G., and Lobell, D., 2000, A biogeophysical approach for automated SWIR unmixing of soils and vegetation. Remote Sensing of Environment, 74, 99-112.
2. Berk, A., Bernstein, L., and Robertson, D., 1989, MODTRAN: a moderate resolution model for LOWTRAN7. Technical report, Spectral Sciences Inc., Burlington, MA, USA.
3. Bojinski, S., Schaepman, M., Schläpfer, D., and Itten, K., 2003, SPECCHIO: a spectrum database for remote sensing applications. Computers and Geosciences, 29, 27-38.
4. Chomko, R., and Gordon, H., 1998, Atmospheric correction of ocean color imagery: use of the Junge power-law aerosol size distribution with variable refractive index to handle aerosol absorption. Applied Optics, 37, 5560-5572.
5. Fraser, R., 1976, Satellite measurements of mass of Saharan dust in the atmosphere. Applied Optics, 15, 2471-2479.
6. Gao, B., Montes, M., Ahmad, Z., and Davis, C., 2000, Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space. Applied Optics, 39, 887-896.
7. Gordon, H., 1978, Removal of atmospheric effects from satellite imagery of the oceans. Applied Optics, 17, 1631-1636.
8. Gordon, H., and Wang, M., 1994, Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. Applied Optics, 33, 443-452.
9. Green, R., and Pavri, B., 2001, AVIRIS inflight calibration experiment measurements, analyses, and results in 2000. Summaries of the Tenth Annual JPL Airborne Geoscience Workshop, Pasadena, CA (Pasadena, CA: JPL), vol. 1, pp. 205-218.
10. Green, R., Eastwood, M., Sarture, C., Chrien, T., Aronsson, M., Chippendale, B., Faust, J., Pavri, B., Chovit, C., Solis, M., Olah, M., and Williams, O., 1998, Imaging spectroscopy and the airborne visible /infrared imaging spectrometer (AVIRIS). Remote Sensing of Environment, 65, 227-248.
11. Holben, B., Eck, T., Slutsker, I., Tanré, D., Buis, J., Setzer, A., Vermote, E., Reagan, J., Kaufman, Y., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A., 1998, AERONET - a federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66, 1-16.
12. Huete, A., Liu, H., Batchily, K., and Van Leeuwen, W., 1997, A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment, 59, 440-451.
13. Isakov, V., Feind, R., Vasilyev, O., and Welch, R., 1996, Retrieval of aerosol spectral optical thickness from AVIRIS data. International Journal of Remote Sensing, 17, 2165-2184.
14. Karnieli, A., Kaufman, Y., Remer, L., and Wald, A., 2001, AFRI - aerosol free vegetation index. Remote Sensing of Environment, 77, 10-21.
15. Kaufman, Y., and Sendra, C., 1988, Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery. International Journal of Remote Sensing, 9, 1357-1381.
16. Kaufman, Y., and Tanré, D., 1992, Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Transactions on Geoscience and Remote Sensing, 30, 261-270.
17. Kaufman, Y., and Tanré, D., 1998, Algorithm for remote sensing of tropospheric aerosols from MODIS. NASA Goddard Space Flight Center, Greenbelt, MA, USA.
18. Kaufman, Y., Wald, A., Remer, L., Gao, B., Li, R., and Flynn, L., 1997, 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, 1286-1297.
19. Kaufman, Y., Tanré, D., and Boucher, O., 2002, A satellite view of aerosols in the climate system. Nature, 419, 215-223.
20. King, M., Kaufman, Y., Menzel, W., and Tanré, D., 1992, Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS). IEEE Transactions on Geoscience and Remote Sensing, 30, 2-27.
21. Leroy, M., Deuzé, J. L., Bréon, F. M., Hautecoeur, O., Herman, M., Buriez, J. C., Tanré, D., Bouffiés, S., Chazette, P., and Roujean, J. L., 1997, Retrieval of atmospheric properties and surface bidirectional reflectances over land from POLDER /ADEOS. Journal of Geophysical Research, 102, 17 023-17 037.
22. Liou, K.-N., 1980, An Introduction to Atmospheric Radiation (New York: Academic Press).
23. Martonchik, J., Diner, D., Kahn, R., Ackerman, T., Verstraete, M., Pinty, B., and Gordon, H., 1998, Techniques for the retrieval of aerosol properties over land and ocean using multiangle imagery. IEEE Transactions on Geoscience and Remote Sensing, 36, 1212-1227.
24. Miura, T., Huete, A., Van Leeuwen, W., and Didan, K., 1998, Vegetation detection through smoke-filled AVIRIS images: an assessment using MODIS band passes. Journal of Geophysical Research, 103, 32001-32011.
25. Plaza, A., Martinez, P., Gualtieri, J., and Perez, R., 2001, Spatial /spectral identification of endmembers from AVIRIS data using mathematical morphology. Summaries of the Tenth Annual JPL Airborne Geoscience Workshop, Pasadena, CA (Pasadena, CA: JPL), vol. 1, pp. 309-319.
26. Press, W., Teukolsky, S., Vetterling, W., and Flannery, B., 1992, Numerical Recipes in C, 2nd edn (Cambridge: Cambridge University Press).
27. Price, J., 1994, Band selection procedure for multispectral scanners. Applied Optics, 33, 3281-3288.
28. Richards, J., and Jia, X., 1999, Remote Sensing Digital Image Analysis, 3rd ed (Berlin: Springer-Verlag).
29. Richter, R., 1996, A spatially adaptive fast atmospheric correction algorithm. International Journal of Remote Sensing, 17, 1201-1214.
30. Richter, R., and Schläpfer, D., 2002, Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: atmospheric/topographic correction. International Journal of Remote Sensing, 23, 2631-5649.
31. Roberts, D., Gardner, M., Church, R., Ustin, S., Scheer, S., and Green, R., 1998, Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models. Remote Sensing of Environment, 65, 267-279.
32. Schläpfer, D., and Richter, R., 2002, Geo-atmospheric processing of airborne imaging spectrometry data. Part 1: parametric orthorectification. International Journal of Remote Sensing, 23, 2609-2630.
33. Seinfeld, J., and Pandis, S., 1998, Atmospheric Chemistry and Physics (New York: Wiley).
34. Shettle, E., and Fenn, R., 1979, Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties. Technical Report AFGL-TR-79-0214, Air Force Geophysics Laboratory, Hanscom AFB, MA, USA.
35. Tanré, D., Herman, M., and Deschamps, P., 1983, Influence of the atmosphere on space measurements of directional properties. Applied Optics, 22, 733-741.
36. Tanré, D., Herman, M., and Mattoo, S., 1997, Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances. Journal of Geophysical Research, 102, 16971-16988.
37. Tompkins, S., Mustard, J., Pieters, C., and Forsyth, D., 1997, Optimization of endmembers for spectral mixture analysis. Remote Sensing of Environment, 59, 472-489.
38. Veefkind, J., De Leeuw, G., Stammes, P., and Koeljemeier, R., 2000, Regional distribution of aerosol over land derived from ATSR-2 and GOME. Remote Sensing of Environment, 74, 377-386.
39. Winter, M., 1999, N-FINDR: an algorithm for fast autonomous spectral endmember determination in hyperspectral data. SPIE Imaging Spectrometry V, 3753, 266-275.