Forest vegetation characterization and mapping using IRS-1C satellite images in Eastern Himalayan Region

Geocarto International

Volumn 16, Issue 3, 2001, Pages 53-62

  Behera, M D ^a   Kushwaha, S P S ^a   Roy, P S ^a  

^a INDIAN INSTITUTE OF REMOTE SENSING   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0042771140     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106040108542204     Document Type: Article

References (30)

1. Anonymous 1983. Mapping of Forest Cover in India from Satellite Image of 1772-75 and 1980-82. Summary Report, National Remote Sensing Agency, Hyderabad, 5-6.
2. Anonymous 1995. User guide for the Magellan GPS proMARK X and the Magellan GPS proMARK X-CP, Magellan Systems Corporation, California.
3. Anonymous 1997. The State of Forest Report. Forest Survey of India. Govt. of India, Dehra Dun.
4. Anonymous 1998. Statistical Abstract of Arunachal Pradesh. Directorate of Economics & Statistics, Government of Arunachal Pradesh, Itanagar.
5. Argialas, D. P. and Harlow, C. A., 1990. Computational image interpretation models: an overview and perspective. Photogrammetric Engineering and Remote Sensing 56(6): 871-886.
6. Behera, M. D., Kushwaha, S. P. S. and Roy, P. S., 2001. High plant endemism in Indian Hotspot-Eastern Himalaya. Biodiversity and Conservation (in press).
7. Behera, M. D., Srivastava, S., Kushwaha, S. P. S. and Roy, P. S., 2000a. Stratification and mapping of Taxus baccata L. bearing forests in Tale valley using remote sensing and GIS. Current Science 78(8): 1008-1013.
8. Behera, M. D., Jeganathan, C, Srivastava, S., Kushwaha, S. P. S. and Roy, P. S., 2000b. Utility of GPS in classification accuracy assessment, Current Science 79(12): 1696-1013.
9. Behera, M. D. 2000c. Biodiversity characterization at Landscape level in Subansiri district, Arunachal Pradesh (eastern Himalaya) using remote sensing and GIS. Ph.D. Thesis. Gurkul Kangri University, Hardwar.
10. Burton, P. J., Balisky, A. C, Coward, L. P., Cumming, S. G. and Kneeshaw, D. D., 1992. The value of managing for biodiversity. The Forestry Chronicle 68(2): 225-237.
11. Champion, H. G. and Seth, S. K., 1968. A Revised Survey of Forest Types of India, Manager of Publications, Government of India, New Delhi.
12. Fuller, R. M., Groom, G, B., Mugisha, S., Ipulet, P., Pomeror, D., Katende, A., Bailey, R., and Ogutu-Ohwayo, R., 1998. The integration of field survey and remote sensing for biodiversity assessment: a case study in the tropical forests and wetlands of Sango Bay, Uganda, Biological Conservation 86: 379-391.
13. Homer, C.G., Ramsey, R. D., Edwardst. C. and falconer, A., 1997. Landscape cover type mapping and modelling using multi-scene Thematic Mapper mosaic. Photogrammetric Engineering and Remote Sensing 63, 59-67.
14. Jensen J. R., 1996. Introductory Digital Image Processing: A Remote Sensing perspective. Prentice-Hall, Inc. London.
15. Kaul, R. N. and Haridasan, K., 1987. Forest types of Arunachal Pradesh-A preliminary study. J. Econ. Tax. Bot. 9(2): 379-389.
16. Kushwaha, S.P.S., Subramanian, S.K., Kameswara Rao, S.V.C., Ramana Murthy, J., Chennaiah, G. Ch., Perumal, A. and Behera, G. 1996. Interfacing remote sensing and GIS methods for sustainable development. Int. J. of Remote Sensing 17(15): 3055-3069.
17. Lillesand, R. M. and Kiefer, R. W., 2000. Remote Sensing and Image Interpretation, 4th Ed. New York; John Wiley & Sons, Inc., 234 pp.
18. Macleod, R. D. and Congalton, R. G., 1998. A quantitative comparision of change-detection algorithms for monitoring Eelgrass from remotely sensed data. Photo grammetric Engineering and Remote Sensing 64(3): 207-216.
19. Moller-Jensen, L., 1990. Knowledge-based classification of an urban area using texture and context information in Landsat-TM image. Photogrammetric Engineering and Remote Sensing 56(6): 899-904.
20. Rodgers, W. A., and Panwar, S. H., 1988. Biogeographical classification of India. New Forest, Dehradun, India.
21. Roy, P. S., Kaul, R. N., SharmaRoy, M. R. and Garbyal, S. S., 1985. Forest type stratification and delineation of shifting cultivation areas in the eastern part of Arunachal Pradesh using LANDSAT MSS data. Int. J. of Remote Sensing 6(4,5): 411-418.
22. Roy, P. S., Singh, S., Dutt, C. B. S., Jeganathan, C., Jadav, R. N. and Ravan, S. A., 1999. Biodiversity Characterization at Landscape Level Using Satellite Remote Sensing and Geographic Information System. User Manual, Indian Institute of Remote Sensing, Dehradun, India.
23. Shimabukuro, Y. E., 1991. The least squares mixing models to generate fraction images derived from remote sensing multi-spectral data. IIEEE Transactions on Geoscience and Remote Sensing 29: 16-20.
24. Takhtajan, A., 1969. Flowering Plants, Origin and Dispersal. Edinburgh: Tr. Jeffrey.
25. Thakker, P. S., Sastry, K. L. N., Kandya, A. K., Kimothi, M. M. and Jadav, r. N., 1999. Forest vegetation mapping using remote sensing and GIS-a case study in Gir (Sasan) forest. Proceedings of ISRS National Symposium on Remote Sensing Applications for Natural Resources: Retrospective and Perspective. Hyderabad, January 18-20, 1998.
26. Vogelmann, J. E., Sohl, T. and Howard, S. M., 1998. Regional characterization of land cover using multiple sources of data. Photo grammetric Engineering and Remote Sensing 64(1): 45-57.
27. Walsh, S. J., 1980. Coniferous tree species mapping using Landsat data. Remote Sensing of Environment 9: 11-26.
28. Wamb, F., 1990. Fuzzy supervised classification of remote sensing images. IIEEE Transactions on Geoscience and Remote Sensing 28: 194-201.
29. Whittaker, R. H., 1977. Evolution of species diversity in land communities. Evolutionary Biology 10: 1-67.
30. Wickman, J. D. and Norton, D. J., 1994. Mapping and analysing landscape patterns. Landscape Ecology 1: 7-23.