Using artificial neural networks to map the spatial distribution of understorey bamboo from remote sensing data

International Journal of Remote Sensing

Volumn 25, Issue 9, 2004, Pages 1685-1700

  Linderman, M ^a   Liu, J ^a   Qi, J ^a   An, L ^a   Ouyang, Z ^b   Yang, J ^c   Tan, Y ^c  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b RESEARCH CENTER FOR ECO ENVIRONMENTAL SCIENCES   (China)

^c Wolong Giant Panda Research Center   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BAMBOO; BIODIVERSITY; DATA REDUCTION; NEURAL NETWORKS; VEGETATION;

SPATIAL DISTRIBUTION; UNDERSTOREY VEGETATION;

REMOTE SENSING;

ARTIFICIAL NEURAL NETWORK; BAMBOO; BIODIVERSITY; REMOTE SENSING; SPATIAL DISTRIBUTION; UNDERSTORY;

ASIA; CHINA; EURASIA; FAR EAST;

EID: 1942536039     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160310001598971     Document Type: Article

References (40)

1. ADAMS, J. B., SABOL, D. E., KAPOS, V., FILHO, R. A., ROBERTS, D. A., SMITH, M. O., and GILLESPIE, A. R., 1995, Classification of multispectral images based on fractions of endmembers: application to land-cover change in the Brazilian Amazon. Remote Sensing of Environment, 52, 137-154.
2. ASNER, G. P., and LOBELL, D. B., 2000, A biogeophysical approach for automated SWIR unmixing of soils and vegetation. Remote Sensing of Environment, 74, 99-112.
3. ATKINSON, P. M., and TATNALL, A. R. L., 1997, Neural networks in remote sensing. International Journal of Remote Sensing, 18, 699-709.
4. BAUSCH, W. C.. 1993, Soil background effects on reflectance-based crop coeffecients for corn. Remote Sensing of Environment, 46, 213-222.
5. BOREL, C. C., and GERSTL, S. A. W., 1994, Nonlinear spectral mixing models for vegetative and soil surfaces. Remote Sensing of Environment, 47, 403-416.
6. CARPENTER, G. A., GOPAL, S., MACOMBER, S., MARTENS, S., and WOODCOCK, C. E., 1999, A neural network method for mixture estimation for vegetation mapping. Remote Sensing of Environment, 70, 138-152.
7. CROSS, A. M., SETTLE, J. J., DRAKE, N. A., and PAIVINEN, R. T. M., 1991, Subpixel measurement of tropical forest cover using AVHRR data. International Journal of Remote Sensing, 12, 1119-1129.
8. DE WULF, R. R., GOOSSENS, R. E., MACKINNON, J. R., and WU, S. C., 1988, Remote sensing for wildlife management: giant panda habitat mapping from LANDSAT MSS images. Geocarto International, 1, 41-50.
9. ERDAS, 1999, Imagine, version 8.3.1. Atlanta, GA, USA.
10. FOODY, G. M., 1996, Relating the land-cover composition of mixed pixels to artificial neural network classification output. Photogrametric Engineering and Remote Sensing, 62, 491-499.
11. FOODY, G. M., and ARORA, M. K., 1997, An evaluation of some factors affecting the accuracy of classification by an artificial neural network. International Journal of Remote Sensing, 18, 799-810.
12. GHITTER, G. S., HALL, R. J., and FRANKLIN, S. E., 1995, Variability of Landsat Thematic Mapper data in boreal deciduous and mixed-wood stands with conifer understorey. International Journal of Remote Sensing, 16, 2989-3002.
13. GILABERT, M. A., GARCIA-HARO, F. J., and MELIÁ, J., 2000, A mixture modeling approach to estimate vegetation parameters for heterogeneous canopies in remote sensing. Remote Sensing of Environment, 72, 328-345.
14. GUYOT, G., and RIOM, D. G. J., 1989, Factors affecting the spectral response of forest canopies: A review. Geocarto International, 3, 3-18.
15. HUETE, A. R., JACKSON, R. D., and POST. D. F., 1985, Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Envirownent, 17, 37-53.
16. JOHNSON, K. G., SCHALLER, G. B., and Hu, J., 1988, Responses of giant pandas to a bamboo die-off. National Geographic Research, 4, 161-177.
17. KEELEY, J. E., and BOND, W. J., 1999, Mast flowering and semelparity in bamboos: The bamboo fire cycle hypothesis. The American Naturalist, 154, 383-391.
18. LAW, B. E., and WARING, R. H., 1994, Remote Sensing of Leaf Area Index and radiation intercepted by understorey vegetation. Ecological Applications, 4, 272-279.
19. LEFSKY, M. A., PARKER, G. G., SPIES, T. A., HARDING, D., COHEN, W. B., and ACKER, S. A., 1999, Lidar remote sensing of the canopy structure and biophysical properties of Douglas-fir western hemlock forests. Remote Sensing of Environment, 70, 339-361.
20. LILLESAND, T. M., and KIEFER, R. W., 1994, Remote Sensing and Image Interpretation, 3rd edn (New York: John Wiley & Sons).
21. Liu, J., OUYANG, Z., YANG, Z., TAYLOR, W., GROOP, R., TAN, Y., and ZHANG, H., 1999a, A framework for evaluating the effects of human factors on wildlife habitat: The case of giant pandas. Conservation Biology, 13, 1360-1370.
22. Liu, J., OUYANG, Z., TAN, Y., YANG, J., and ZHANG, H., 1999b, Changes in human population structure: Implications for biodiversity conservation. Population and Environment, 21, 45-58.
23. Liu, J., LINDERMAN, M., OUYANG, Z., AN, L., YANG, J., and ZHANG, H., 2001, Ecological degradation in protected areas: the case of Wolong Nature Reserve for giant pandas, Science, 292, 98-101.
24. LUCKMAN, A., YANASSE, C. C. F., FRERY, A. C., BAKER, J., and KUPLICH, T. M., 1997, A study of the relationship between radar backscatter and regenerating tropical forest biomass for spaceborne SAR instruments. Remote Sensing of Environment, 60, 1-13.
25. MACARTHUR, R. H., and MACARTHUR, J. W., 1961, On bird species diversity. Ecology, 42, 594-598.
26. MORAIN, S. A., 1986, Surveying China's agricultural resources: patterns and progress from space. Geocarto International, 1, 15-24.
27. NEMANI, R., PIERCE, L., RUNNING, S.. and BAND, L., 1993, Forest ecosystem processes at the watershed scale: sensitivity to remotely-sensed Leaf Area Index estimates. International Journal of Remote Sensing, 14, 2519-2534.
28. ODUM, E. P., 1971. Fundamentals of Ecology (Philadelphia: W. B. Saunders Company).
29. PORWALL, M. C., and Roy, P. S., 1991, Attempted understorey characterization using aerial photography in Kanha National Park. Madhya Pradesh, India. Environmental Conservation, 18, 45-50.
30. QI, J., WELTZ, M., HUETE, A. R., SOROOSHIAN, S., BRYANT, R., KERR, Y. H., and MORAN, M. S., 2000, Leaf area index estimates using remotely sensed data and BRDF models in a semiarid region. Remote Sensing of Environment, 73, 18-30,
31. RANSON, K. J., DAUGHTRY, C. S. T., and BIEHL, L. L., 1986, Sun angle, view angle, and background effects on spectral response of simulated balsam fir canopies. Photogrammectric Engineering and Remote Sensing, 52, 649-658.
32. REID, D. G., Hu, J., DONG, S., WANG, W., and HUANG, Y., 1989, Giant panda Ailuropoda melanoleuca behaviour and carrying capacity following a bamboo die-off. Biological Conservation, 49, 85-104.
33. ROBERTS, D. A., SMITH, M. O., and ADAMS, J. B., 1993, Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data. Remote Sensing of Environment, 44, 255-269.
34. ROUGHGARDEN, J., RUNNING, S. W., and MATSON, P. A., 1991. What does remote sensing do for ecology? Ecology, 72, 1918-1922.
35. SCHALLER, G. B., HU. J., PAN, W., and ZHU, J., 1985, The Giant Pandas of Wolong, (Chicago: University of Chicago Press).
36. SPANNER, M. A., PIERCE, L. L., PETERSON, D. L., and RUNNING, S. W., 1994, Remote sensing of temperate coniferous forest leaf area index: the influence of canopy closure, understorey vegetation and background reflectance. Ecological Applications, 4, 258-271.
37. STENRACK, J. M., and CONGALTON, R. G., 1990, Using Thematic Mapper imagery to examine forest understorey. Photogrammetric Engineering and Remote Sensing, 56, 1285-1290.
38. TAYLOR, A. H., and QIN, Z., 1997, The dynamics of temperate bamboo forests and panda conservation in China. In The Bainhoos, edited by G. P. Chapman (San Diego: Harcourt Brace & Company), pp. 189-211.
39. The MATHWORKS INC., 1999. Matlab. version 5.3.1. Natick, MA, USA.
40. TREUHAFT, R. N., and SIQUEIRA, P. R., 2000, Vertical structure of vegetated land surfaces from interferometric and polarimetric radar. Radio Science, 35, 141-177.