Atmospheric correction of DAIS hyperspectral image data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2758, Issue , 1996, Pages 390-399

  Richter, Rudolf ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Airborne hyperspectral sensors; Emissivity; Heat fluxes; Reflectance; Surface temperature

Indexed keywords

HEAT FLUX; REFLECTION; REMOTE SENSING;

ATMOSPHERIC CORRECTIONS; DIGITAL AIRBORNE IMAGING SPECTROMETERS; EMISSIVITY; HYPERSPECTRAL IMAGE DATAS; HYPERSPECTRAL SENSORS; MULTI-SPECTRAL IMAGE DATA; SURFACE TEMPERATURES; THERMAL INFRARED REGIONS;

SPECTROSCOPY;

EID: 0003199052     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.243237     Document Type: Conference Paper

References (21)

1. Berk, A., Bernstein, L. S., and Robertson, D. C. (1989), MODTRAN: a moderate resolution model for LOWTRAN 7, GL-TR-89-0122, Geophys. Lab., Bedford, MA.
2. Babey, S. K., and Anger, C. D., (1993), Compact airborne spectrogaphic imager (casi): a progress review, SPIE Vol. 1937, 152-163.
3. Chang, S. H., Westfield, M. J., Lehmann, F., Oertel, D., and Richter, R., (1993), 79-channel airborne imaging spectrometer, SPIE Vol. 1937, 164-172.
4. Dave, J. V. (1980), Effect of atmospheric conditions on remote sensing of a surface non-homogeneity, Photogram. Eng. Rem. Sens. 46:1173-1180.
5. Frouin, R., Deschamps, Y. P., and Lecomte, P. (1990), Determination from space of atmospheric total water amounts by differential absorption near 940 nm: theory and airborne verification, J. Appl. Meteorol., 29:448-460.
6. Gao, B. C., and Goetz, A. F. H. (1990), Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data, J. Geophys. Research 95, 3549-3564.
7. Gordon, H. R., Clark, D. K., Brown, J. W. et al. (1983), Phytoplankton pigment concentrations in the Middle Atlantic Bight: comparison of ship determinations and CZCS estimates, Appl. Opt. 22:20-36.
8. Kahle, A. B., Madura, D. P., and Soha, J. M. (1980), Middle infrared multispectral aircraft scanner data: analysis for geologic applications, Appl. Opt. 19:2279-2290.
9. Kahle, A. B., and Alley, R. E. (1992), Separation of temperature and emittance in remotely sensed radiance measurements, Remote Sensing of Environment 42:107-111.
10. Kaufman, Y. J. (1985), The atmospheric effect on the separability of field classes measured from satellites, Remote Sens. Environ. 18:21-34.
11. Lehmann, F., Lehmann, K., Rothfuss, H., and Richter, R., (1993), Inflight calibration, preprocessing and data evaluation of GER II imaging spectrometry data, ESA SP-360, pp. 35-42.
12. Pearce, W. A. (1977), A study of the effects of the atmosphere on Thematic Mapper observations, NASA Contract NAS5-23639.
13. Research Systems, Inc. (1993), IDL User's Guide Version 3.1, Boulder, CO.
14. Richter, R. (1990), A fast atmospheric correction algorithm applied to Landsat TM images, Int. J. Remote Sensing 11:159-166.
15. Richter, R. (1992), Model SENSAT-4: Sensor - Atmosphere - Target, DLR-IB 552-01/92, DLR Wessling, Germany.
16. Richter, R., Prantz, U., Hausknecht, P., Lehmann, F., Mueller, A., Rothfuss, H., Strobl, P., and Tischler, S., (1993), Atmospheric and geometric correction for airborne hyperspectral images, DLR-IB 552-05/93, DLR Wessling. Germany.
17. Richter, R. (1994), Derivation of temperature and emittance from airborne multispectral thermal infrared scanner data, Infrared Phys. Technol., 35:817-826.
18. Seguin, B., and Itier, B., (1983), Using midday surface temperature to estimate daily evaporation from satellite thermal IR data, Int. J. Remote Sensing 4:371-383.
19. Soer, G. J. R., (1980), Estimation of regional evapotranspiration and soil moisture conditions using remotely sensed crop surface temperatures, Rem. Sens. Environment, 9:27-45.
20. Tanre, D., Deschamps, P. Y., Duhaut, P., and Herman, M. (1987), Adjacency effect produced by the atmospheric scattering in Thematic Mapper data, J. Geophys. Research 92(D10):12, 000-12, 006.
21. Tornow, C. (1993), AMOD - an atmospheric correction program for TM data using fractal methods to estimate the optical depth, Proceedings of Workshop on Atmospheric Correction of Landsat Imagery, June 29 - July 1993, Torrance (Los Angeles), CA, pp. 60-64.