Optical Airborne Remote Sensing

  • Jeffrey S. Myers
  • Richard L. Miller
Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 7)


Modulation Transfer Function Atmospheric Correction Radiometric Calibration Solar Elevation Flight Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Anger, C.D., S. Mah, and S.K. Babey. 1994. Technology enhancements to the compact airborne spectrographic imager (CASI). Proceedings of the First International Airborne Remote Sensing Conference and Exhibition, Strasbourg, France, 200-213.Google Scholar
  2. Anger, C.D., S. Achal, T. Ivanco, S. Mah, R. Price, and J. Busler. 1996. Extended operational capabilities of CASI. Proceedings of the Second International Airborne Remote Sensing Conference, San Francisco, California, 124-133.Google Scholar
  3. Bagheri S., and S. Peters. 2003. Retrieval of marine water constituents using atmospherically corrected AVIRIS hyperspectral data. NASA/AVIRIS Workshop, JPL, Pa s ad en a , CA.Google Scholar
  4. Carder, K.L., R.G. Steward, R.F. Chen, S. Hawes, A. Lee, and C.O. Davis. 1993. AVIRIS calibration and application in coastal oceanic environments: tracers of soluble and particulate constituents in the Tampa Bay coastal plume. Photogrammetric Engineering and Remote Sensing, 59(3):339-344.Google Scholar
  5. Clark, C., H. Ripley, E. Green, A. Edwards, and P. Mumby. 1997. Mapping and measurement of tropical coastal environments with hyperspectral and high spatial resolution data. International Journal of Remote Sensing, 18(2):237-242.CrossRefGoogle Scholar
  6. Davis, C. O., M. Kappus, J. Bowles, J. Fisher, J. Antoniades, and M. Carney. 1999. Calibration, characterization and first results with the ocean PHILLS hyperspectral imager. Proceedings of the SPIE, 3753:160-168.CrossRefGoogle Scholar
  7. Fillippi, A., J.R. Jensen, R.L. Miller, R.A. Leathers, C.O. Davis, T.V. Downes, and K.L. Carder. 2002.Google Scholar
  8. Cybernetic statistical learning for hyperspectral remote sensing inverse modelling in the coastal ocean.Google Scholar
  9. Proceedings of Ocean Optics XVI, Sante Fe, New Mexico, 9 pp.Google Scholar
  10. Gade, M., W. Alpers, H. Hühnerfuss, V.R. Wismann, and P.A. Lange. 1998. On the reduction of the radar backscatter by oceanic surface films: helicopter measurements and their theoretical interpretation, Remote Sensing of Environment., 66:52-70.CrossRefGoogle Scholar
  11. Gordon, H.R., and A.Y. Morel. 1983. Remote assessment of ocean color for interpretation of satellite visible imagery: A Review, Springer-Verlag, New York, 114 pp.Google Scholar
  12. Hamley, M.H. 1994. US LTA 138S airship as an airborne research platform. Proceedings of the First International Airborne Remote Sensing Conference and Exhibition, Strasbourg, France, 341-350.Google Scholar
  13. Harding, L.W.,Jr., E.C. Itsweir, and W.E. Esaias. 1994. Estimates of phytoplankton biomass in the Chesapeake Bay from aircraft remote sensing of chlorophyll concentrations, 1989-92., Remote Sensing of Environment, 49:41-56.Google Scholar
  14. Howland, W. G., 1980. Multispectral Aerial Photography for Wetland Vegetation Mapping, Photogrammetric Engineering & Remote Sensing, 46(1):87-99.Google Scholar
  15. Hoogenboom, H.J., A.G. Dekker, and J.F. De Haa. 1998. Retrieval of chlorophyll and suspended matter in inland waters from CASI data by matrix inversion. Canadian Journal Remote Sensing, 24(2):144-152.Google Scholar
  16. King, M.D., W.P. Menzel, P.S. Grant, J.S. Myers, G.T. Arnold, S.E. Platnick, L.E. Gumley, S.C. Tsay, C.C.Google Scholar
  17. Moeller, M. Fitzgerald, K.S. Brown, and F.G. Osterwisch. 1996. Airborne scanning spectrometer for remote sensing of cloud, aerosol, water vapor, and surface properties. Journal of Atmospheric and Oceanic Technology, 13(4):777-794.CrossRefGoogle Scholar
  18. Lavender, S.J., and C.R.C. Nagur. 2002. Mapping coastal waters with high resolution imagery: atmospheric correction of multi-height airborne imagery. Journal of.Optics. A: Pure and Applied Optics, 4:S50-S55.Google Scholar
  19. Lillesand, T.M., R.W. Kiefer, and J.W. Chipman. 2003. Remote Sensing and Image Interpretation, Wiley, 784 pp.Google Scholar
  20. Matthews, J. P., V. Wismann, K. Lwiza, R. Romeiser, I. Hennings, and G. P. deLoor. 1997. The observation of the surface roughness characteristics of the Rhine plume frontal boundaries by simultaneous airborne thematic mapper and multifrequency helicopter-borne radar scatterometer. International Journal of Remote Sensing, 18(9):2021-2033.CrossRefGoogle Scholar
  21. Miller, R., M.S. Twardowski, C. Moore, and C. Casagrande. 2003. The Dolphin: Technology to Support Remote Sensing Bio-optical Algorithm Development and Applications. Backscatter, 14(2):8-12.Google Scholar
  22. Miller, R.L., G. Carter, J. Sheehy, B. Rock, P. Entcheva, and J. Albrechtova. 1999. Monitoring initial forest recovery in the Krusne hory, Czech Republic, using ground and airborne multispectral digital cameras.Google Scholar
  23. Presented at the Fourth International Airborne Remote Sensing Conference and Exhibition/21 Canadian Symposium on Remote Sensing, Ottawa, Ontario, Canada.Google Scholar
  24. Miller, R.L., B. Spiering, A. Peek, J. Hasenbuhler, T. McNamee, R. Lahnemann, and K. Draper. 1999.Google Scholar
  25. Analyzing coastal processes using a miniature multispectral imaging system flown on a portable UAV, Proceedings of the Fourth International Airborne Remote Sensing, Ottawa, Canada.Google Scholar
  26. Miller, R.L., G. Carter, M. Seal, and T. Gress. 1997. Analyzing coastal processes using a three-band airborne digital camera system, Proceedings of the Fourth Thematic Conference, Remote Sensing for Marine and Coastal Environments, Orlando, FL.Google Scholar
  27. Miller, R.L., and J.F. Cruise. 1995. Effects of suspended sediments on coral growth: evidence from remote sensing and hydrologic modeling. Remote Sensing Environment, 53:177-187.CrossRefGoogle Scholar
  28. Miller, R.L., J.F. Cruise, E. Otero, J.M. Lopez, W.F. Smith Jr., and B.K. Martin. 1994. Monitoring the water quality of Mayaguez Bay Puerto Rico: an integrated program using remote sensing and field measurements. Proceedings of the Second Thematic Conference, Remote Sensing for Marine and Coastal Environments, New Orleans, 204-214.Google Scholar
  29. Miller, R.L. 1993. Mapping coastal suspended sediments using the Calibrated Airborne Multispectral Scanner, Fall Symposium, American Water Resources Association.Google Scholar
  30. Mumby, P.J., E.P. Green, C.D. Clark, and A.J. Edwards. 1998. Digital analysis of multispectral airborne imagery of coral reefs. Coral Reefs, 17:59–69.CrossRefGoogle Scholar
  31. Petrie, G. 2001. Robotic aerial platforms for remote sensing robotic aerial platforms for remote sensing: UAVs are now being developed for use as "satellite substitutes". Geoinformatics Magazine, May:12-17.Google Scholar
  32. Porter, W.M., and H.E. Enmark. 1987, System overview of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). Proceedings, Society of Photo-Optical Instrumentation Engineers (SPIE), 834:22-31.Google Scholar
  33. Rickard, L.J., 1993. HYDICE: An airborne system for hyperspectral imaging. Proceedings of SPIE Imaging Spectrometry of the Terrestrial Environment, Orlando, 1937:173-179.Google Scholar
  34. Rickard, L.J., R.W. Basedow, E.F. Zalewski, P.R. Silverglate, and M. Landers. 1993. HYDICE: an airborne system for hyperspectral imaging. Proceedings of SPIE, 1937:173-179.CrossRefGoogle Scholar
  35. Richardson, L.L, D. Buison, C.J. Lui, and V. Ambrosia. 1994. The detection of algal photosynthetic accessory pigments using Airborne Visible-Infrared imaging Spectrometer (AVIRIS) Spectral Data. Marine Technology Society Journal, 28:10-21.Google Scholar
  36. Richter, R., and D. Schläpfer. 2002. Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: atmospheric/topographic correction. International Journal of Remote Sensing, 23:2631-2649.Google Scholar
  37. Schaepman M., P. Keller, D. Schläpfer, C. Cathomen, and K.I. Itten. 1997: Experimental determination of adjacency effects over an eutrophic lake using a helicopter mounted spectroradiometer for the correction of imaging spectrometer data. Third International Airborne Remote Sensing Conference and Exhibition, Copenhagen, Denmark, 497-504.Google Scholar
  38. Sheppard, C.R.C, Matheson, K., Bythell, J.C., Murphy, P., Blair Myers, C., and Blake, B., 1995, Habitat mapping in the Caribbean for management and conservation: use and assessment of aerial photography.Google Scholar
  39. Aquatic Conservation: Marine & Freshwater Ecosystems, 5:277–298.Google Scholar
  40. Siegel, D.A., W. Menghua, S. Maritorena, and W. Robinson. 2000. Atmospheric correction of satellite ocean color imagery: the black pixel assumption. Applied Optics, 39(21):3582- 3591.CrossRefGoogle Scholar
  41. Windischbauer, D.I.F., and W. Hans. 1994. The modern airship in the role as an airborne sensor platform. Proceedings of the First International Airborne Remote Sensing Conference and Exhibition, Strasbourg, France. 351-362.Google Scholar

Copyright information

© Springer 2007

Authors and Affiliations

  • Jeffrey S. Myers
    • 1
  • Richard L. Miller
    • 2
  1. 1.SAIC, Airborne Sensor FacilityAmes Research CenterMoffett FieldUSA
  2. 2.National Aeronautics and Space AdministrationEarth Science Applications Directorate, Stennis Space CenterUSA

Personalised recommendations