An evaluation of the effect of terrain normalization on classification accuracy of landsat ETM+ imagery

American Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration

Volumn 1, Issue , 2006, Pages 159-170

  Bishop, Jesse B ^a   Congalton, Russell G ^a  

^a UNIVERSITY OF NEW HAMPSHIRE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANGE ANALYSIS; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; ERROR MATRICES; FOREST PLANTATION; IMAGE PROCESSING TECHNIQUE; LAND COVER CLASSIFICATION; LANDCARE; LANDSAT ETM; LONG TERM MONITORING; NATIVE FORESTS; NATIVE SPECIES; NEW ZEALAND; REFERENCE DATA; REMOTELY SENSED DATA; RESIDENTIAL AREAS; SUPPRESSION ALGORITHM; THEMATIC MAPS;

AERIAL PHOTOGRAPHY; ALGORITHMS; BIODIVERSITY; CONSERVATION; FORESTRY; IMAGE PROCESSING; INFORMATION RETRIEVAL; INFORMATION SCIENCE; LANDFORMS; MAPS; PHOTOGRAMMETRY; REMOTE SENSING; RESTORATION;

SATELLITE IMAGERY;

EID: 84869018301     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (35)

1. Anonymous (2000). New Zealand Biodiversity Strategy, URL: http://www.biodiversity.govt.nz/picture/doing/nzbs/index.html, New Zealand Department of Conservation, Wellington, New Zealand, (date last accessed: 15 October 2003).
2. Anonymous (2001). Census of Population and Dwellings, URL: http://www.stats.govt.nz/census/default.htm, Statistics New Zealand, Wellington, New Zealand, (date last accessed: 02 February 2006).
3. Becker, M.L., R.G. Congalton, R. Budd, and A. Fried (1998). A GLOBE collaboration to develop land cover data collection and analysis protocols. Journal of Science Education and Technology, 7(1):85-96.
4. Botkin, D.B., J.E Estes, R.M. MacDonald, and M.V. Wilson (1984). Studying the Earth's vegetation from space. BioScience, 34(8):508-514.
5. Budd, R.J. (1997). The Accuracy of Land Cover Data Collected by Students (Grade 1-12) for the Global Learning to Benefit the Environment (GLOBE) Program. M.S. thesis, University of New Hampshire, Durham, New Hampshire, 275 p.
6. Chuvieco, E., and R.G. Congalton (1988). Using cluster analysis to improve the selection of training statistics in classifying remotely sensed data. Photogrammetric Engineering & Remote Sensing, 54(9):1275-1281.
7. Congalton, R.G., M. Balogh, C. Bell, K. Green, J.A. Milliken, and R. Ottman (1998). Mapping and monitoring agricultural crops and other land cover in the Lower Colorado River Basin. Photogrammetric Engineering & Remote Sensing, 64(11):1107-1113.
8. Congalton, R.G., and K. Green (1993). A practical look at the sources of confusion in error matrix generation. Photogrammetric Engineering & Remote Sensing, 59(5):641-644.
9. Congalton, R.G., and K. Green (1999). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Lewis Publishers, Boca Raton, Florida, 137 p.
10. Dial, G., H. Bowen, F. Gerlach, J. Grodecki, and R. Oleszczuk (2003). IKONOS satellite, imagery, and products. Remote Sensing of Environment, 88:23-36.
11. Dymond, J.R., and J. Qi (1997). Reflection of visible light from a dense vegetation canopy-a physical model. Agriculture and Forest Meteorology, 86:143-155.
12. Dymond, J.R., and J.D. Shepherd (1999). Correction of the topographic effect in remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 37(5):2618-2620.
13. Dymond, J.R., and J.D. Shepherd (2004). The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery. Remote Sensing of Environment, 90:116- 125.
14. Dymond, J.R., J.D. Shepherd and J. Qi (2001). A simple physical model of vegetation reflectance for standardizing optical satellite imagery. Remote Sensing of Environment, 77:230-239.
15. Fischer, C.S., and L.M. Levien (2002). Monitoring California's hardwood rangelands using remotely sensed data. Proceedings of the Fifth Symposium on Oak Woodlands: Oaks in California's Changing Landscape, 23-25 October 2001, San Diego, California (USDA Forest Service, General Technical Report PSW-GTR-184, Pacific Southwest Forest and Range Experiment Station, Berkeley, California), pp 603-615.
16. Fleming, C.A. (1975). The geological history of New Zealand and its biota. Biogeography and Ecology in New Zealand (G. Kuschel, Editor), Dr. W. Junk b.v., Publishers, The Hague, The Netherlands, pp 1-86.
17. Gu, D., and A. Gillespie (1998). Topographic normalization of Landsat TM images of forest based subpixel suncanopy- sensor geometry. Remote Sensing of Environment, 64:166-175.
18. Jensen, J.R. (2005). Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall, Upper Saddle River, New Jersey, 526 p.
19. King, M. (2003). The Penguin History of New Zealand. Penguin Books, Auckland, New Zealand, 570 p.
20. Lennartz, S. and R.G. Congalton (2004). Classifying and mapping forest cover types using IKONOS imagery in the Northeastern United States, Proceedings of the ASPRS 2004 Annual Convention, DATE May, Denver, Colorado (American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland), unpaginated CD-ROM.
21. Lockley, J. (2002). Country Report: New Zealand. The 7th Annual GLOBE Conference, 22-26 July 2002, Chicago, Illinois, USA.
22. McGlone, M.S. (1989). The Polynesian settlement of New Zealand in relation to environmental and biotic changes. New Zealand Journal of Ecology, 12:115-129.
23. Norton, D.A. and C.J. Miller (2000). Some issues and options for conservation of native biodiversity in rural New Zealand. Ecological Management & Restoration, 1(1):26-34.
24. Patterson, M. and A. Cole (1999). Assessing the Value of New Zealand's Biodiversity. Occasional Paper Number 1. School of Resource and Environmental Planning, Massey University, Auckland, New Zealand.
25. Plourde, L., and R.G. Congalton (2003). Sampling method and sample placement: how do they affect the accuracy of remotely sensed maps? Photogrammetric Engineering & Remote Sensing, 69(3):289-297.
26. Rock, B.N. and G.N. Lauten (1996). K-12th grade students as active contributors to research investigations. Journal of Science Education and Technology, 5(4):255-265.
27. Rowe, R. (2001). Land Cover Classification of Remotely Sensed Data: Assessing the Accuracy Using Student- Collected Reference Data from the Global Learning and Observations to Benefit the Environment (GLOBE) Program, M.S. thesis, University of New Hampshire, Durham, New Hampshire, 125 p.
28. Roy, P.S., and S. Tomar (2000). Biodiversity characterization at landscape level using geospatial modeling technique. Biological Conservation, 95:95-109.
29. Sanders, A. and D.A. Norton (2001). Ecological restoration at mainland islands in New Zealand. Biological Conservation, 99:109-119.
30. Shepherd, J.D., and J.R. Dymond (2003). Correcting satellite imagery for the variance of reflectance and illumination with topography. International Journal of Remote Sensing, 24(17):3503-3514.
31. Taylor, R., and I. Smith (1997). The State of New Zealand's Environment 1997. The Ministry for the Environment, Wellington, New Zealand.
32. The GLOBE Program (2003). The GLOBE Teacher's Guide. GLOBE & USGPO, Washington, D.C., 1936 p.
33. Thomas, N., C. Hendrix, and R.G. Congalton (2003). A comparison of urban mapping methods using highresolution digital imagery. Photogrammetric Engineering & Remote Sensing, 69(9):963-972).
34. Trotter, C.M. (1998). Characterising the topographic effect at red wavelengths using juvenile conifer canopies. International Journal of Remote Sensing, 19(11):2215-2221.
35. Tucker, C.J. (1978). A comparison of satellite sensor bands for vegetation monitoring. Photogrammetric Engineering & Remote Sensing, 44(11):1369-1380.