Skip to main content
SpringerLink
Log in
Book cover

Remote Sensing of Forest Environments pp 181–208Cite as

Radiometric Image Processing

  • Chapter

Abstract

Based on a rich tradition of remote sensing in forest applications using aerial photography, the emergence of digital imagery from airborne and satellite platforms has created new frontiers for the remote sensing of forests. Today, a wide array of sophisticated sensors offer data at spatial, spectral, radiometric and temporal resolutions that approach or surpass aerial photography, with capabilities also available for imaging at synoptic regional, continental and planetary scales. As a result of these technical advances, together with improved forest practices and increased environmental concerns, the expectations of information derived from forest remote sensing has risen dramatically in applications ranging from baseline forest inventory and management, ecosystem health, forest fire and disease, to the broader contexts of sustainable resource development, national and international policy, and environmental and global change. Over time, the emphasis on quantitative data processing and analysis has increased such that, today, a significant proportion of users rely on accurate, high-quality data to obtain detailed surface cover, biophysical and structural information about forested areas of the Earth at particular locations and at specific times. This information may be of economic, social, strategic, political, or environmental value but, without it, the significant effort and cost to put Earth sensing capabilities in place is difficult to justify (MacDonald 1997).

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Allen, T. R. (2000). Topographic normalization of Landsat Thematic Mapper data in three mountain environments. Geocarto International, 15, 13–19.

    Article  Google Scholar 

  • Anderson, G. P., Berk, A., Acharya, P. K., Matthew, M. W., Bernstein, L. S., Chetwynd, J. H., Dothe, H., Adler-Golden, S. M., Ratkowski, A. J., Felde, G. W., Gardner, J. A., Hoke, M. L., Richtsmeier, S. C, Pukall, B., Mello, J., & Jeong, L. S. (2000). MODTRAN4: Radiative transfer modeling for remote sensing, algorithms for multispectral, hyperspectral, and ultraspectral imagery VI. Shen, S. S., & Descour, M. R. (Eds.). Proceedings of SPJE, 4049, 176–183. Orlando, Florida, USA.

    Google Scholar 

  • Anger, C. D., Mah, S., & Babey, S. (1994). Technological enhancements to the compact airborne spectrographic imager (casi). Proceedings, First International Conference on Airborne Remote Sensing, 2, 205–213. Strasbourg, France.

    Google Scholar 

  • Bannari, A., Morin, D., Bonn, F., & Huete, A. R. (1995). A review of vegetation indices. Remote Sensing Reviews, 13, 95–120.

    Article  Google Scholar 

  • Bokoye, A. I., Royer, A., O’Neill, N. T., Cliche, P., Fedosejevs, G., Teillet, P. M., & McArthur, L. J. B. (2001). Characterization of atmospheric aerosols across Canada from a ground-based sunphotometer network: AEROCAN. Atmosphere-Ocean, 39,429–456.

    Article  Google Scholar 

  • Carlotto, M. J. (1998). Spectral shape classification of Landsat Thematic Mapper imagery. Photogrammetric Engineering and Remote Sensing, 64, 905–913.

    Google Scholar 

  • Cavayas, F. (1987). Modelling and correction of topographic effect using multi-temporal satellite images. Canadian Journal of Remote Sensing, 13, 49–67.

    Google Scholar 

  • CEOS (1995). Leadership to Ensure High-Quality Earth Observation Data: A Strategic Vision. Committee on Earth Observation Satellites, Working Group on Calibration and Validation.

    Google Scholar 

  • Chavez, P. S. (1988). An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24,459–479.

    Article  Google Scholar 

  • Chen, J. M., & Cihlar, J. (1997). A hotspot function in a simple bidirectional reflectance model for satellite applications. Journal of Geophysical Research — Atmospheres, 102, 25907–25913.

    Article  Google Scholar 

  • Cihlar, J., Chen, J., Li, Z., Latifovic, R., Fedosejevs, G., Adair, M., Park, W., Fraser, R., Trishchenko, A., Guidon, B., Stanley, D., & Morse, D. (2002). GeoComp-n, An advanced system for the processing of coarse and medium resolution satellite data — Part 2: Biophysical products for northern ecosystems. Canadian Journal of Remote Sensing, 28, 21–44.

    Article  Google Scholar 

  • Cracknell, A. P. (1998). Synergy in remote sensing — What’s in a pixel? International Journal of Remote Sensing, 19, 2025–2047.

    Article  Google Scholar 

  • Crist, E. P. (1985). A TM Tasseled Cap equivalent transformation for reflectance factor data. Remote Sensing of Environment, 17, 301–306.

    Article  Google Scholar 

  • Crist, E. P. & Cicone R. C. (1984). A physically-based transformation of Thematic Mapper data — the TM tasseled cap. IEEE Transactions on Geoscience and Remote Sensing, GE- 22, 256–263.

    Article  Google Scholar 

  • Dinguirard, M., & Slater, P. N. (1999). Calibration of space-multispectral imaging sensors: A review. Remote Sensing of Environment, 68, 194–205.

    Article  Google Scholar 

  • Eliason, P., Soderblom, L. A., & Chavez, P. S. (1981). Extraction of topographic and spectral albedo function for multispectral images. Photogrammetric Engineering and Remote Sensing, 48, 1571–1579.

    Google Scholar 

  • Elvidge, C. D., Yuan, D., Weerackoon, R. D., & Lunneta, R. S. (1995). Relative radiometric normalization of Landsat Multispectral Scanner (MSS) data using an automatic scattergram controlled regression. Photogrammetric Engineering and Remote Sensing, 61, 1255–1260.

    Google Scholar 

  • Fedosejevs, G., O’Neill, N. T., Royer, A., Teillet, P. M., Bokoye, A. I., & McArthur, B. (2000). Aerosol optical depth for atmospheric correction of AVHRR composite data. Canadian Journal of Remote Sensing, 26,273–284.

    Google Scholar 

  • Fisheill, N. T., Teillet, P. M., Royer, A., Blanchet, J. -P., Aubé M., Thulasiraman, S., Vachon, F., Gong, S., & Versi, M. er, P. (1997). The pixel: a snare and a delusion. International Journal of Remote Sensing, 18,679–685.

    Article  Google Scholar 

  • Flittner, D. E., & Slater, P. N. (1991). Stability of narrow-band filter radiometers in the solar-reflective range. Photogrammetric Engineering and Remote Sensing, 57, 165–171.

    Google Scholar 

  • Franklin, S. E. (1987). Terrain analysis from digital patterns in geomorphometry and Landsat MSS spectral response. Photogrammetric Engineering and Remote Sensing, 53, 59–65.

    Google Scholar 

  • Franklin, S. E. (1991). Image transformations in mountainous terrain and the relationship to surface patterns. Computers & Geosciences, 17, 1137–1149.

    Article  Google Scholar 

  • Freemantle,  J., O’Neil, N.T., Teillet, P. M., Royer, A., Blanchet, J. –P., Aubé, M., Thulasiraman, S., V., Vachon,  F., Gong, S., & Versi, M. (2002). Using Web services for atmospheric correction of remote sensing data. Proceedings of the 2002 International Geoscience and Remote Sensing Symposium (IGARSS’02) and the Twenty-Fourth Canadian Symposium on Remote Sensing, in press. Toronto, Ontario, Canada.

    Google Scholar 

  • Goetz, A. F. H., Heidebrecht, K. B., & Chrien, T. G. (1995). High accuracy in-flight wavelength calibration of imaging spectrometry data. Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, 1,67–69. AVIR1S Workshop, Pasadena, California.

    Google Scholar 

  • Goward, S. N., Markham, B. L., Dye, D. G., Dulaney, W., & Yang, J. (1991). Normalized Difference Vegetation Index measurements from the Advanced Very High Resolution Radiometer. Remote Sensing of Environment, 35,257–277.

    Article  Google Scholar 

  • Gu, D., & Gillespie, A. (1998). Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry. Remote Sensing of Environment, 64, 166–175.

    Article  Google Scholar 

  • Guyot, G., & Gu, X. F. (1994). Effects of radiometric corrections on NDVI determined from SPOT-HRV and Landsat-TM data. Remote Sensing of Environment, 49, 169–180.

    Article  Google Scholar 

  • Hall, F. G., Strebel, D. E., Nickerson, J. E., & Goetz. S. J. (1991). Radiometric rectification: toward a common radiometric response among multidate, multisensor images. Remote Sensing of Environment, 35,11–27.

    Article  Google Scholar 

  • Hall, F. G., Shimabukuro, Y. E., & Huemmrich, K. F. (1995). Remote sensing of forest biophysical structure in boreal stands of picea mariana using mixture decomposition and geometric reflectance models. Ecological Applications, 5, 993–1013.

    Article  Google Scholar 

  • Helder, D., Barker, J. Boncyk, W., & Markham, B. (1996). Short term calibration of Landsat TM: Recent findings and suggested techniques. Proceedings of the 1996 International Geoscience and Remote Sensing Symposium (IGARSS’96), 1286–1289. Lincoln, Nebraska, USA.

    Google Scholar 

  • Holben, B, N., & Justice, C. O. (1981). An examination of spectral band ratioing to reduce the topographic effect on remotely sensed data. International Journal of Remote Sensing, 2, 115–133.

    Article  Google Scholar 

  • Johnson, R. L., Peddle, D. R., & Hall, R. J. (2000). A modeled-based sub-pixel scale mountain terrain normalization algorithm for improved LAI estimation from airborne casi imagery. Proceedings, 22 nd Canadian Symposium on Remote Sensing, 415–424. Victoria, BC. Canada. August 21–25,2000. Canadian Aeronautics and Space Institute, Ottawa.

    Google Scholar 

  • Kauth, R. J., & Thomas, G. S. (1976). The tasseled cap — A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. Proc, Machine Processing of Remotely Sensed Data, 4B, 41–51.

    Google Scholar 

  • Li, X., & Strahler, A. H. (1992). Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing. IEEE Transactions on Geoscience and Remote Sensing, 30, 276–292.

    Article  Google Scholar 

  • MacDonald, J. S. (1997). From space data to information. Proceedings of ISPRS Joint Workshop on Sensors and Mapping From Space, 233–240. Hannover, Germany.

    Google Scholar 

  • Markham, B. L., & Barker, J. L. (1987). Radiometric properties of U.S. processed Landsat MSS data. Remote Sensing of Environment, 22, 39–71.

    Article  Google Scholar 

  • Marsh, S. E., & Lyon, R. J. P. (1981). Quantitative relationships of near-surface spectra to Landsat radiometric data. Remote Sensing of Environment, 10, 241–261.

    Article  Google Scholar 

  • Meyer, P., Itten, K. L., Kellenberger, T., Sandmeier, S., & Sandmeier, R. (1993). Radiometric corrections of topographically induced effects on Landsat TM data in an alpine environment. ISPRS Journal of Photogrammetry and Remote Sensing, 48, 17–28.

    Article  Google Scholar 

  • Milton, E. J. (1987). Principles of field spectroscopy. International Journal of Remote Sensing, 8, 1807–1827.

    Article  Google Scholar 

  • O’Neill, N. T., Teillet, P. M., Royer, A., Blanchet, J. -P., Aubé M., Freemantle, J., Gong, S., Stanley, D., Thulasiraman, S., & Vachon, F. (2002). Concept of a central optical parameter server for atmospheric corrections of remote sensing data. Proceedings of the 2002 International Geoscience and Remote Sensing Symposium (IGARSS’02) and the Twenty-Fourth Canadian Symposium on Remote Sensing, in press. Toronto, Ontario, Canada.

    Google Scholar 

  • Peddle, D. R., Hall, F. G., & LeDrew, E. F. (1999). Spectral mixture analysis and geometric optical reflectance modeling of boreal forest biophysical structure. Remote Sensing of Environment, 67,288–297.

    Article  Google Scholar 

  • Peddle, D. R., White, H. P., Soffer, R. J., Miller J. R., & LeDrew, E. F. (2001a). Reflectance processing of remote sensing spectroradiometer data. Computers & Geosciences, 27, 203–213.

    Article  Google Scholar 

  • Peddle, D. R., Brunke, S. P., & Hall, F. G. (2001b). A comparison of spectral mixture analysis and ten vegetation indices for estimating boreal forest biophysical information from airborne data. Canadian Journal of Remote Sensing, 27, 627–635.

    Google Scholar 

  • Peddle, D. R., Franklin, S. E., Johnson, R. L., Lavigne, M. A., & Wulder, M. A. (2002). Structural change detection in a disturbed conifer forest using a geometric optical reflectance model in multiple-forward mode. IEEE Transactions on Geoscience and Remote Sensing, in press.

    Google Scholar 

  • Poros, D. J., & Peterson, C. J. (1985). Methods for destriping Landsat Thematic Mapper images — A feasibility study for an online destriping process in the Thematic Mapper Image Processing System (TIPS). Photogrammetric Engineering and Remote Sensing, 51, 1371–1378.

    Google Scholar 

  • Pouch, G., & Compagna, D. (1990). Hyperspherical directional cosines for separation of spectral and illumination information in digital scanner data. Photogrammetric Engineering and Remote Sensing, 56, 475–479.

    Google Scholar 

  • Price, J. C. (1987). Calibration of satellite radiometers and the comparison of vegetation indices. Remote Sensing of Environment, 21, 15–27.

    Article  Google Scholar 

  • Richter, R. (1997). Correction of atmospheric and topographic effects for high spatial resolution satellite images. International Journal of Remote Sensing, 18, 1099–1 111.

    Google Scholar 

  • Roderick, M., Smith, R., & Cridland, S. (1996). The precision of the NDVI derived from AVHRR Observations. Remote Sensing of Environment, 56, 57–65.

    Article  Google Scholar 

  • Schott, J. R., Salvaggio, C, & Volchok, W. J. (1988). Radiometric scene normalization using psuedoinvariant features. Remote Sensing of Environment, 26, 1–16

    Article  Google Scholar 

  • Schott, J. R. (1997). Remote Sensing The Image Chain Approach, ISBN 0-19-508726-7. Oxford University Press, Inc., 198 Madison Avenue, New York, New York 10016, USA.

    Google Scholar 

  • Singh, A. (1985). Thematic Mapper radiometric calibration research and development results and performance. Photogrammetric Engineering and Remote Sensing, 51, 1379–1383.

    Google Scholar 

  • Slater, P. N. (1980). Remote Sensing, Optics and Optical Systems, ISBN 0-201-07250-5. Addison-Wesley Publishing Company, Reading, Massachusetts, USA.

    Google Scholar 

  • Smith, J. A., Lin, T. L., & Ranson, K. J. (1980). The Lambertian assumption and Landsat data. Photogrammetric Engineering and Remote Sensing, 46, 1183–1189.

    Google Scholar 

  • Song, C, Woodcock, C. E., Seto, K. C, Lenney, M. P., & Macomber, S. A. (2001). Classification and change detection using Landsat TM data: when and how to correct atmospheric effects. Remote Sensing of Environment, 75, 230–244.

    Article  Google Scholar 

  • Staenz, K., Williams, D. J., Fedosejevs, G., & Teillet, P. M. (1994). Surface reflectance retrieval from imaging spectrometer data using three atmospheric codes. Proceedings of SPJEEUROPTO’94, 2318, 17–28. Rome, Italy.

    Google Scholar 

  • Suits, G. H., Malila, W. A., & Weller, T. M. (1988). The prospects for detecting spectral shifts due to satellite sensor ageing. Remote Sensing of Environment, 26, 17–29.

    Article  Google Scholar 

  • Teillet, P. M., Guindon, B., & Goodenough, D. G. (1982). On the slope aspect correction of multi spectral scanner data. Canadian Journal of Remote Sensing, 8, 84–106.

    Google Scholar 

  • Teillet, P. M. (1989). Surface reflectance retrieval using atmospheric correction algorithms. Proceedings of the 1989 International Geoscience and Remote Sensing Symposium (IGARSS’89) and the Twelfth Canadian Symposium on Remote Sensing, 864-867. Vancouver, B.C., Canada.

    Google Scholar 

  • Teillet, P. M., & Irons, J. R. (1990). Spectral variability effects on the atmospheric correction of imaging spectrometer data for surface reflectance retrieval. Proceedings of the 1SPRS Commission VII Symposium, 579–583. Victoria, B.C., Canada.

    Google Scholar 

  • Teillet, P. M. (1990). Effects of spectral shifts on sensor response. Proceedings of the ISPRS Commission VII Symposium, 59–65. Victoria, B.C., Canada.

    Google Scholar 

  • Teillet, P. M., & Fedosejevs, G. (1995). On the dark target approach to atmospheric correction of remotely sensed data. Canadian Journal of Remote Sensing, 21, 374–387.

    Google Scholar 

  • Teillet, P. M. (1997). A status overview of earth observation calibration/validation for terrestrial applications. Teillet, P. M. (ed.). Canadian Journal of Remote Sensing: Special Issue on Calibration/Validation, 23, 291–298.

    Google Scholar 

  • Teillet, P. M., Staenz, K., & Williams, D. J. (1997a). Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices for forested regions. Remote Sensing of Environment, 61, 139–149.

    Article  Google Scholar 

  • Teillet, P. M., Horler, D. N. H., & O’Neill, N. T. (1997b). Calibration/validation, stability monitoring, and quality assurance in remote sensing: A new paradigm. Canadian Journal of Remote Sensing, 23, 401–414.

    Google Scholar 

  • Teillet, P. M., Fedosejevs, G., Gauthier, R. P., O’Neill, N. T., Thome, K. J., Biggar, S. F., Ripley, H., & Meygret, A. (2001). A generalized approach to the vicarious calibration of multiple earth observation sensors using hyperspectral data. Remote Sensing Environment, 77, 304–327.

    Article  Google Scholar 

  • Teillet, P. M., Barker, J. L. Markham,B. L., Irish, R. R., Fedosejevs, G., & Storey,J. C. (2001b). Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets. Remote Sensing of Environment, 78, 39–54.

    Article  Google Scholar 

  • Thome, K. J. (2001). Absolute radiometric calibration of Landsat 7 ETM+ using the reflectance-based method. Remote Sensing of Environment, 78, 27–38.

    Article  Google Scholar 

  • Tokola, T., Löfman, S., & Erkkilä A. (1999). Relative calibration of multitemporal Landsat data for forest cover change detection. Remote Sensing of Environment, 68, 1–11.

    Article  Google Scholar 

  • Townshend, J. R. G. (1981). The spatial resolving power of earth resources satellites. Progress in Physical Geography, 5, 32–55.

    Article  Google Scholar 

  • Townshend, J. R. G., Huang, C, Kalluri, S. N. V., Defines, R. S., & Liang, D. (2000). Beware of per-pixel characterization of land cover. International Journal of Remote Sensing, 21, 839–843.

    Article  Google Scholar 

  • Townshend, J. R. G., Justice, C. O., Skole, D., Malingreau, J. -P., Cihlar, J., Teillet, P. M, Sadowski, F., Ruttenberg, S. (1994). The 1 km resolution global data set: Needs of the International Geosphere Biosphere Programme. International Journal of Remote Sensing, 15,3417–3441.

    Article  Google Scholar 

  • Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127–150.

    Article  Google Scholar 

  • Yuan, D., & Elvidge, C. D. (1993). Application of relative radiometric rectification procedure to Landsat data for use in change detection. Proceedings of the Workshop on Atmospheric Correction of Landsat Imagery, 162–166. Landsat Program Office, Torrance, CA, USA.

    Google Scholar 

  • Yuan, D., & Elvidge, C. D. (1996). Comparison of relative radiometric normalization techniques. ISPRS Journal of Photogrammetry and Remote Sensing, 51, 117–126.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Geography, University of Lethbridge, Lethbridge, T1K 3M5, Alberta, Canada

    Derek R. Peddle

  2. Canada Centre for Remote Sensing, Natural Resources Canada, Ottawa, Ontario, K1A 0Y7, Canada

    Philippe M. Teillet

  3. Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, British Columbia, V8Z 1M5, Canada

    Michael A. Wulder

Authors
  1. Derek R. Peddle
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Philippe M. Teillet
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Michael A. Wulder
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, V8Z 1M5, Victoria, British Columbia, Canada

    Michael A. Wulder

  2. Department of Geography, University of Calgary, T2N 1N4, Calgary, Alberta, Canada

    Steven E. Franklin

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media New York

About this chapter

Cite this chapter

Peddle, D.R., Teillet, P.M., Wulder, M.A. (2003). Radiometric Image Processing. In: Wulder, M.A., Franklin, S.E. (eds) Remote Sensing of Forest Environments. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0306-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-0306-4_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5014-9

  • Online ISBN: 978-1-4615-0306-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation