Biomass equations of dominant species of dry deciduous forest in Shivpuri district, Madhya Pradesh

Current Science

Volumn 87, Issue 5, 2004, Pages 683-687

  Kale, Manish ^a   Singh, Sarnam ^a   Roy, P S ^a   Deosthali, Vrishali ^b   Ghole, V S ^b  

^a INDIAN INSTITUTE OF REMOTE SENSING   (India)

^b UNIVERSITY OF PUNE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 9744238194     PISSN: 00113891     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

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2. Chaturvedi, O. P. and Singh, J. S., The structure and function of pine forest in Central Himalayas. Dry matter dynamics. Ann. Bot., 1987, 60, 237-252.
3. Rawat, Y. S. and Singh, J. S., Structure and function of oak forest in Central Himalaya. Dry matter dynamics. Ann. Bot., 1988, 62, 327-411.
4. Singh, S. P. and Singh, J. S., Ecology of central Himalayan forest with special emphasis on Sal forest ecosystem. In Perspective of Ecology, Commemoration Volume Professor S. C. Pandeya (eds Singh J. S. and Copal), M/S Jagmander Book Agency, New Delhi, 1989, pp. 193-232.
5. Roy, P. S. and Ravan, S. A., Biomass estimation using satellite remote sensing data - An investigation on possible approaches for natural forest. J. Biosci., 1996, 21, 535-561.
6. Whittaker, R. H. and Woodwell, G. M., Dimensional and production relations of trees and shrubs in Brookhaven forest, New York. J. Ecol., 1968, 56, 1-25.
7. Rai, S. N., Above ground biomass in tropical rainforests of Western Ghats. Indian For., 1984, 110, 754-764.
8. Tiwari A. K., Component-wise biomass models for trees. A non-harvest technique. Indian For., 1992, 118, 405-410.
9. Roy P. S. and Ravan, S. A., Biomass estimation using satellite remote sensing data. An investigation on possible approaches for natural forest. Project Report under ISRO-Geosphere and Biosphere Programme, 1994.
10. Champion, H. G. and Seth, S. K., A revised survey of forest types of India. New Delhi: Govt. Publication, Dehradun, 1968.
11. Roy, P. S. and Jain, A., A satellite remote sensing based approach to estimate regional net primary productivity of forest. Global change studies. Scientific results from ISRO Geosphere Biosphere Programme, 1998.
12. Madgwick, H. A. I., The accuracy and precision of estimates of the dry matter in stems, branches and foliage in an old field Pinus virginiana stand. Institute of Ecololgy, Univ. Georgia, Athens (eds Golley, P. and Golley, F. B.), 1972, pp. 363-405.
13. Kale, M. P., Satellite remote sensing 'IRS -WiFS' for estimation of IPAR in tropical dry deciduous forest. A dissertation submitted for partial fulfilment of M.Phil degree in Remote Sensing Engineering, Andhra University Engineering College, Visakhapatnam, October 2001.