Advanced exploratory data analysis for mapping regional canopy cover

Photogrammetric Engineering and Remote Sensing

Volumn 72, Issue 1, 2006, Pages 31-38

  Xu, Yaguang ^a   Prather, John W ^a   Hampton, Haydee M ^a   Aumack, Ethan N ^a   Dickson, Brett G ^b,c   Sisk, Thomas D ^a  

^a NORTHERN ARIZONA UNIVERSITY   (United States)

^b Department of Environmental and Radiological Health Sciences   (United States)

^c ROCKY MOUNTAIN RESEARCH STATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; DIGITAL COMPUTERS; MAPPING; REMOTE SENSING; THRESHOLD ELEMENTS; VEGETATION;

ADVANCED EXPLORATORY DATA ANALYSIS (AEDA); MULTIFRACTAL PROPERTIES; TECHNICAL APPROACHES; USGS DIGITAL ORTHOPHOTO QUADRANGLES (DOQ);

PHOTOGRAMMETRY;

FOREST CANOPY; ORTHOPHOTO; PHOTOGRAMMETRY; SPATIAL RESOLUTION; VEGETATION MAPPING;

EID: 30444435180     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.72.1.31     Document Type: Article

References (38)

1. Agterberg, F.P., 2001a. Multifractal simulation of geochemical map patterns, "Geological Modeling and Simulation," Computer Applications in the Earth Sciences (D.F. Merriam and J.C. Davis, editors), Plenum Press, New York, New York, pp. 327-346.
2. Agterberg, F.P., 2001b. Aspect of multifractal modeling, Proceedings of 2001 Annual Conference of the International Association for Mathematical Geology, 06-12 September, Cancun, Mexico, unpaginated CD-ROM.
3. Cheng, Q., F.P. Agterberge, and S.B. Ballantyne, 1994. The separation of geochemical anomalies from background by fractal methods, Journal of Geochemical Exploration, 51(2):109-130.
4. Cheng, Q., F.P. Agterberge, and G.F. Bonham-Carter, 1996. A spatial analysis method for geochemical anomaly separation, Journal of Geochemical Exploration, 56(2):183-195.
5. Cheng, Q., Y. Xu, and E. Grunsky, 2000. Integrated spatial and spectrum method for geochemical anomaly separation, Natural Resources Research, 9(1):43-56.
6. De Wijis, H.J., 1951. Statistics of ore distribution, Geologie en Mijnbouw, 13:367-375.
7. Dodd, N.L., S.S. Rosenstock, C.R. Miller, and R.E. Schweinsburg, 1998. Tassel-eared squirrel population dynamics in Arizona: index techniques and relationships to habitat condition, Arizona Game and Fish Department Technical Report 27, Phoenix, Arizona, 49 p.
8. Dodd, N.L., J.S. States, and S.S. Rosenstock, 2003. Tassel-eared squirrel population, habitat condition, and dietary relationships in north-central Arizona, Journal of Wildlife Management, 67:622-633.
9. Drake, J., and J.F. Weishampel, 2000. Multifractal analysis of canopy height measures in a longleaf pine savanna, Remote Sensing of Environment, 128(1-2):121-127.
10. Dralle, K., and M. Rudeme, 1996. Stem number estimation by kernel smoothing of aerial photos, Canadian Journal of Forest Research, 26:1228-1236.
11. Evertz, C.J.G., and B.B. Mandelbrot, 1992. Multifractal measures (Appendix B), Chaos and Fractals (H.-O. Peitgen, H. Jurgens, and S. Saupe, editors), Springer Verlag, New York, New York, pp. 922-953.
12. Franklin, S.E., RJ. Hall, L. Smith, and G.R. Gerylo, 2003. Discrimination of conifer height, age, and crown closure classes using Landsat-5 TM imagery in the Canadian Northwest Territories, International Journal of Remote Sensing, 24(9):1823-1834.
13. Ganey, J.L., and W.M. Block, 1994. A comparison of two techniques for measuring canopy closure, Western Journal of Applied Forestry, 9:21-23.
14. Gerylo, G.R., R.J. Hall, S.E. Franklin, and L. Smith, 2002. Empirical relations between Landsat TM spectral response and forest stands near Fort Simpson, Northwest Territories, Canada, Canadian Journal of Remote Sensing, 28(1):68-79.
15. Golden, M., 2002. Improving rangeland and juniper woodland classification with texture from digital orthophotography quads (DOQS), Proceedings of the Ninth Forest Service Remote Sensing Applications Conference, 08-12 April, San Diego, California, unpaginated CD-ROM.
16. Gongcalves, M., M. Vairrinho, and V. Oliveira, 1998. Study of geochemical anomalies in Mombeja area using a multifractal methodology and geostatistics, Proceedings of International Association for Mathematical Geology Meeting (A. Buccianti, G. Nardi, and R. Potenza, editors), August, Napoli, Italy, pp. 490-495.
17. Gong, P., X. Mei, G.S. Giging, and Z. Zhang, 2002. Improvement of an oak canopy model extracted from digital photogrammetry, Photogrammetric Engineering & Remote Sensing, 63(9):919-924.
18. Gougeon, F.A., 1995. A crown-following approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images, Canadian Journal of Remote Sensing, 21(3):274-283.
19. Greenfeld, J., 2001. Evaluating the accuracy of digital orthophoto quadrangles (DOOJ in context of parcel-based GIS, Photogrammetric Engineering & Remote Sensing, 67(2):199-205.
20. Hampton, H.M., Y. Xu, J.W. Prather, E.N. Aumack, B.G. Dickson, M.M. Howe, and T.D. Sisk, 2003. Spatial tools for guiding forest restoration and fuel reduction efforts, Proceedings of the 2003 ESRI Users Conference, 07-11 July, San Diego, California, unpaginated CD-ROM.
21. Hansen, M.J., S.E. Franklin, C.G. Woudsma, and M. Peterson, 2000. Forest structure classification in the north Columbia Mountains using the Landsat TM tasseled cap wetness component, Canadian Journal of Remote Sensing, 27(1):20-32.
22. Hay, G.J., K.O. Niemann, and G.F. Mclean, 1996. An object-specific image-texture analysis of H-resolution forest imagery, Remote Sensing of Environment, 55:108-122.
23. Hohle, J., 1996. Experience with the production of digital orthophotos, Photogrammetric Engineering & Remote Sensing, 6(10):1189-1194.
24. Huang, C., L. Yang, B. Wylie, and C. Homer, 2001. A strategy for estimating tree canopy density using Landsat 7 TM+ and high resolution images over large areas, Proceedings of the Third International Conference on Geospatial Information in Agriculture and Forestry, 05-07 November, Denver, Colorado, unpaginated CD-ROM.
25. Nowak, D.J., R.A. Rowntree, E.G. Mepherson, S.M. Sisnni, P. Kerkmann, and C.J. Stevens, 1996. Measuring and analyzing urban tree cover, Landscape and Urban Planning, 36:49-57.
26. Pachepsky, A.Y., J.C. Ritchie, and D. Gimenez, 1997. Fractal modeling of airborne laser altimetry data, Remote Sensing of Environment, 61(1):151-161.
27. Salvador, R., and X. Pons, 1998. On reliability of Landsat TM for estimating forest variables by regression techniques: a method ological analysis, IEEE Transactions on Geoscience and Remote Sensing, 36(6):1888-1897.
28. Sinclair, A.J., 1974. Selection of threshold values in geochemical data using probability graphs, Journal of Geochemical Exploration, 3(2):129-149.
29. Sinclair, A.J., 1991. A fundamental approach to threshold estimation in exploration geochemistry: probability plot revised, Journal of Geochemical Exploration, 41(1):11-22.
30. Sisk, T.D., E. Aumack, H.M. Hampton, J. Prather, and Y. Xu, 2003. Landscape analysis to link science and policy: ecological restoration of ponderosa pine forests in arid North America, Landscape and Urban Planning, in review.
31. Stanley, C.R., and A.J. Sinclair, 1987. Anomaly recognition for multi-element geochemical data - a background characterization approach, Journal of Geochemical Exploration, 29(3):333-353.
32. Wulder, M., K.O. Niemann, and D.G. Goodenough, 2000. Local maximum filtering for the extraction of tree location and basal area for high spatial resolution imagery, Remote Sensing of Environment, 73(1):103-114.
33. Wulder, M., K.O. Niemann, and D.G. Goodenough, 2002. Error reduction methods for local maximum filtering of high spatial resolution imagery for locating trees, Canadian. Journal of Remote Sensing, 28(5):621-628.
34. Xu, B., P. Gong, and R. Pu, 2003. Crown closure estimation of oak savannah in a dry season with Landsat TM imagery: comparison of various indices through correlation analysis, International Journal of Remote Sensing, 24(9):1811-1822.
35. Xu, Y., 2001. A Fractal Filtering Technique for Geochemical and Geophysical Data Processing in GIS Environment for Mineral Exploration, Ph.D. dissertation, York University, Toronto, Ontario, 164 p.
36. Xu, Y., and Q. Cheng, 2001. A fractal filtering technique processing regional geochemical maps for mineral exploration, Journal of Geochemistry: Exploration, Environment and Analysis, 1(2):147-156.
37. Zeide, B., 1991. Fractal geometry in forest application, Forest Ecology Management, 46:179-188.
38. Zhang, Y., 2001. Texture-integrated classification of urban tree area in high-resolution color-infrared imagery, Photogrammetric Engineering & Remote Sensing, 67(12):1359-1364.