Tropical forest resource assessment and monitoring

Tropical Ecology

Volumn 43, Issue 1, 2002, Pages 21-37

  Roy, P S ^a   Dutt, C B S ^a   Joshi, P K ^a  

^a INDIAN INSTITUTE OF REMOTE SENSING   (India)

Author keywords

Forest assessment; Geographic Information System (GIS); Monitoring; Remote sensing; Tropical forest

Indexed keywords

CARBON CYCLE; GIS; REMOTE SENSING; RENEWABLE RESOURCE; RESOURCE ASSESSMENT; TROPICAL FOREST;

EID: 0036406949     PISSN: 05643295     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (82)

1. Anonymous. 1983. Nationwide mapping of forest and non-forest areas using landsat false color composite for the period 1972-75 and 1980-82. Technical Report, National Remote Sensing Agency (NRSA) 1: 1-36.
2. Achard, F. & C. Estreguil. 1995. Forest classification of Southeast asia using NOAA-AVHRR data. Remote Sensing of Environment 54: 198-208.
3. Batista, G.T., Y.E. Shimabukura & W.T Lawrence. 1997. The long-term monitoring of vegetation cover in the Amazonian region of the Northern Brazil using NOAA-AVHRR data. International Journal of Remote Sensing 18: 3195-3210.
4. th International Symposium on Remote Sensing of Environment held in Ann Arbor, 839-852.
5. Czaplewski, R.L. 1999. Multistage remote sensing: toward an annual national inventory. Journal of Forestry 97: 44-48.
6. Di Maio, M.A.C. & A.W. Setzer. 1997. Deforestation detection in the Amazon with an AVHRR based system. International Journal of Remote Sensing 18: 273-286.
7. Dixon, R.K., S. Brown, R.A. Houghton, S.M. Solomon, M.C. Trexler & J. Wisniewski. 1994. Carbon pools and flux of global carbon forest ecosystems. Science 263: 185-190.
8. Dobson, M.C. 2000. Forest information from synthetic aperture radar. Journal of Forestry 98: 41-43.
9. Dubayah, R., J.B. Blair, J.L. Bufton, D.B. Clark, J. Raja, R.G. Knox, S.B. Luthcke, S. Prince & J.F. Weishampel. 1997. The vegetation canopu lidar misstion. pp. 100-112. In: M.D. Bethesda (ed.) Land Satellite Information in the Next Decade. II. Sources and Application. American Society for Photogrametry and Remote Sensing.
10. Dubayah, R.O., R.G. Knox, M.A. Hofton, J.B. Blair & J.B. Drake. 2000. Land surface characterization using lidar remote sensing. pp. 87-93. In: M. Hill & R. Aspinall (eds.) Spatial Information for Land Use Management. International Publishers Direct, Singapore.
11. Eidenshingk, J.C. & J.L Faundeen. 1998. The 1-km AVHRR global land data set; First states in implementation. International Journal of Remote Sensing 18: 273-286.
12. Estreguil, C. & E.F Lambin. 1996. Mapping forest - cover disturbances in Papua New Guinea with AVHRR data. Journal of Biogeography 23: 757-773.
13. Fearnside, P.M. 1996. Amazonian deforestation and global warming; carbon stocks in vegetation replacing Brazil's Amazon forest. Forest Ecology and Management 80: 21-34.
14. Foody, G.M. & M.F. Arora. 1997. An evaluation of some factors affecting the accuracy of classification by an artificial neural network. International Journal of Remote Sensing 18: 799-810.
15. Fraser, R.H., Z. Li & R. Landry. 2000. Spot Vegetation for characterizing boreal forest fires. International Journal of Remote Sensing 21: 3525-3532.
16. Gash, J.H.C. & W.J. Shuttleworth. 1991. Tropical defroestation: albedo and the surgace energy balance. Climate Change 19: 123-133.
17. Gausman, H.W., D.E. Escobar & R.L. Bowen. 1983. A video system to demonstrate interactions of near - infrared radiation with plant leaves. Remote Sensing of Environment 13: 363-366.
18. Grainger, A. 1996. An evaluation of the FAO forest tropical forest resorce assessment 1990. Geographical Journal 162: 73-79.
19. Helmer, E.H., S. Browns & W.B. Cohen. 2000. Mapping montane tropical forest successional stage and land use with multi-date landsat imagery. International Journal of Remote Sensing 21: 2163-2183.
20. Houghton, R.A. 1991. Tropical deforestation and atmospheric carbon cycle. Climate Change 19: 99-118.
21. Houghton, R.A. & D.L. Skole. 1990. Carbon. pp. 393-408. In: B.L. Turner, W.C. Clark, R.W. Kates, J.F. Richards, J.T. Matthews & W.B. Meyers (eds.) The Earth as Transformed by Human Action. Cambridge University Press, Cambridge.
22. 2 into the atmosphere. Forest Ecology and Management 38: 173-199.
23. http://www.fs.fed.us/rm/ftcol/rwu4804/nafc.htm
24. http:/www.vtt.fi/aut/rs/docs/annamicnual95/node13.html
25. Innes, John L. 1993. Forest Health Its Assessment and Status. CAB International, Wallingford, UK.
26. Jeanjean, H. & F. Archard. 1997. A new approach for tropical forest area monitoring using multiple spatial resolution satellite sensor. International Journal of Remote Sensing 18: 2455-2461.
27. Joshi, P.K., Sarnam Singh, Shefali Agarwal & P.S. Roy. 2001a. Forest cover assessment in western Himalayas, Himachal Pradesh using IRS 1C/1D WiFS data. Current Science 80: 941-947.
28. Joshi, P.K., Sarnam Singh, Shefali Agarwal & P.S. Roy. 2001b. Land cover assessment in Jammu & Kashmir using phenology as discriminant - An approach using wide swath satellite (IRS - WiFS).Current Science 81: 392-398.
29. Kastens, D.L., K.P. Price, E.A. Martinko & T.L. Kastens. 1999. Estimating pre-harvest wheat yields from time series analysis of remotely sensed data. Proceedings of Annual Convention, American Society of Photogrammetric Engineering and Remote Sensing, Portland, May 17-21.
30. Keller, M., Ḋ.J. Jacobs, S.C. Wofsy & R.C. Harris. 1991. Effects of tropical deforestation on global and regional atmospheric chemistry. Climate Change 19: 139-158.
31. Laporte, N.T., C. Justice & J. Kendall. 1995. Mapping the dense humid forest of Cameroon and Zaire using AVHRR satellite data. International Journal of Remote Sensing 16: 1127-1145.
32. Laporte, N.T., S.J. Goetz, C.O. Justice & M. Heinicke. 2000. A new land cover map of central Africa derived from muti-resolution, multi-temporal AVHRR data. International Journal of Remote Sensing 19: 3537-3550.
33. Laxmi, V. Uday, M.S.R. Murthy & C.B.S. Dutt. 1998. Efficient forest resources management through GIS and remote sensing. Current Science 75: 272-281.
34. Laxmi, V. Udaya & C.B.S. Dutt. 1998. Micro - level planning and sustainable forestry through GIS. Current Science 75: 245-255.
35. Leesky, M.A., W.B. Chen, S.A. Acker, G.G. Parker, T.A. Spies & D. Harding. 1999. Lidar remote sensing of the canopy structure and biophysical properties of Douglas-fir western hemlock forests. Remote Sensing Environment 70: 339-351.
36. Mayers, N. 1991. Tropical forests: present status and future outlook. Climate Change 19: 3-32.
37. Mayers, N. 1992. The Primary Source: Tropical Forests and Our Future. Norton, New York.
38. Merton, R. N. 1999. Multi-temporal Analysis of Community Scale Vegetation Stress with Imaging Spectroscopy. Ph.D. Thesis, Geography Department, University of Auckland, New Zealand.
39. Niedrauer, T. 1991. A coastal survey with a multispectral video system. Proceedings International Symposium on Optical Engineering and Photonics in Aerospace Sensing, Orlando, Florida.
40. Olson, C.E., Jr. 1960. Elements of photographic interpretation common to several sensors Photogrammetric Engineering and Remote Sensing 26: 651-656.
41. Pimm, S. L., G.J Russel, J.L Gittleman & T.M. Brooks. 1995. The future of biodiversity. Science 269: 347-350.
42. Prance, Ghillean T. 1982. Forest refuges: evidence from woody angiosperms. pp. 137-157. In: G. T. Prance (ed.) Biological Diversification in the Tropics. Columbia University Press, New York.
43. Ralph, O. Dubayah & Jscon B. Drake. 2000. Lidar remote sensing for forestry. Journal of Forestry 98: 44-46.
44. th Asian Conference Remote Sensing, Vol.2, K-2-1-6. Bangalore, India.
45. Reed, B.C. & Yang. 1997. Seasonal vegetation characteristics of the United States. Geocarto International 12: 65-71.
46. Rogers, D.J., S.I. Hay, M.J. Packer & G.R. Wint. 1997: Mapping land cover over large areas using multispectral data derived from the NOAA-AVHRR: A case study of Nigeria. International Journal of Remote Sensing 18: 3297-3303.
47. Rohde, W.G. & C.E. Olson Jr. 1970. Detecting tree moisture stress. Photogrammetric Engineering 36: 561-566.
48. Roy, P.S. & Madhavan Unni. 1980. The forest type classification and shifting cultivation area mapping using landsat data in Mizoram. pp. 246-251. Proceedings of Seminar on Application of Photointerpretation and Remote Sensing Techniques for Natural Resources Survey for Environmental Analysis. DehraDun.
49. Roy, P.S., B.R. Pratap & K.R. Rao. 1982. Forest land classification by cluster analysis of Landsat MSS data. Proceedings of National Space Sciences Symposium, Bangalore, 2-7 February.
50. Roy, P.S. 1983. Vegetation mapping and forest condition monitoring through visual interpretation of multidate landsat data. Proceedings of National Conference on Application of Remote Sensing to Natural Resources, Environment Land Use and Problems, Relating to Training and Education. IIT, Bombay 3-4 March, 1983. 221-226.
51. Roy, P.S. & J.D. Murthy. 1984. Forest type delineation from space borne data using visual and computer aided technique - a case study from eastern Himalayas, India. Proceedings of XV International Congress of Photogrammetry and Remote Senisng. Riode Janiero, Brazil, 1984.
52. Roy, P.S. & S. Kumar. 1986. Advanced very high resolution radiometer (AVHRR) satellite data for vegetation monitoring. pp. 3.1-3.4. Proceedings of the International Seminar on Photogrammetry and Remote Sensing for Developing Countries, New Delhi.
53. Roy, P.S. 1989. Analysis of forest types and monitoring disturbances using thematic mapper data in part of Andaman Nicobar Islands. pp.22-28. National Seminar on Status of Indian Forestry Problems and Perspectives. Haryana Agriculture University, Hissar.
54. Roy, P.S., B.K. Ranganath, P.G. Diwakar, T.P.S. Vohra, S.K. Bhan, I.J. Singh & V.C. Pandian. 1991a. Tropical forest type mapping and monitoring using remote sensing. International Journal of Remote Sensing 12: 2205-2225.
55. Roy, P.S., P.G. Diwakar, T.P.S. Vohara & S.K. Bhan. 1991b. Forest resource management using Indian remote sensing satellite data. Asian Pacific Remote Sensing Journal 3: 11-22.
56. Roy, P.S., S.C. Moharana, S.N. Prasad & I.J. Singh. 1992. Vegetation analysis and study of its dynamics in Chandaka Wildlife Sanctuary (Orissa) using aerospace remote sensing. Journal of Indian Society of Remote Sensing (Photonirvachak) 20: 223-235.
57. Roy, P.S. 1993. Remote sensing for forest ecosystem analysis and management. pp. 335-363. In: M. Balakrishnan (ed.) Environmental Studies in India. Oxford & IBH, New Delhi.
58. Roy, P.S., S.Singh, I.J. Singh, Shefali Agarwal, L.M. Pande, K.V. Ravindran, Anita Rawat, A.K. Tiwari, S.K. Saha, P.N. Haridas, T.P.S. Vohra & K.S. Bisht. 1993. Geographic Information System for Wasteland Development Planning in Puriliya District, West bengal-Pilot Project for Asra Block. IIRS Project Report.
59. Roy, P.S., A.R. Shirish, I.J. Singh, Sarnam Singh. 1994a. Approach for terrestrial biomass estimation using satellite remote sensing. pp.125-148. In: Monoculture Plantations in 'Taria' Region, Uttar Pradesh. Scientific Report, Global Change Studies-ISRO-SR-42-94, ISRO, Dept. Space, Bangalore.
60. Roy, P.S., P.G. Diwakar, I.J. Singh & S.K. Bhan. 1994b. Evaluation of microwave remote sensing data for forest stratification and canopy characterisation. Journal of Indian Society of Remote Sensing (Photonirvachak) 1: 31-44.
61. Roy, P.S., K.P. Sharma & Abhineet Jain. 1995. Forest density stratification using satellite remote sensing data - towards rule based approach. Workshop on Utilisation of Remote Sensing in Site Assessment and Planning for Rehabilitation of Logged over Forest organised by ITTO/JOFCA, Bogor, Indonesia, Sept. 25-29, 1995.
62. Roy, P.S. & P.K. Joshi. 2000a. Space remote sensing for sustainable forest management. pp. 357-382. In: R.K. Kholi, H.P. Singh, S.P. Vij, K.K. Dhir, D.R. Batish & D.K. Khurana (eds.) Man and Forest. DNAES, IUFRO, ISTS, Panjab Univ. Chandigarh.
63. Roy, P.S. & P.K. Joshi. 2000b. Tropical forest cover assessment using wide field sensor - IRS 1C. NNRMS(B) 25: 22-29.
64. Roy, P.S., Sarnam Singh, Shefali Agarwal & P.K. Joshi. 2001. Biome level classification of vegetation in western India - an application of wide field sensor (WiFS). IGBP in India 2000. A status report on projects. Indian National Science Academy, New Delhi, 371-387.
65. Santos, J.R. 1995. Monitoring of Amazonian forest ecosystem: Present conjuncture on the use of remote sensing technology. Anais da Academia Brasileira de Ciencias 66: 109-115.
66. Shute, D.A. & N.E. West. 1982. Two basic methodological choices in wildland vegetation inventories: Their consequences and implications. Journal of Application Col. 19: 249-251.
67. Singh, I.J. & P.S. Roy. 1990. Growing stock estimation through stratified sampling on satellite remote sensing. Journal of Indian Society of Remote Sensing 18: 29-42.
68. Singh, Sernam, Shefali Agarwal, P.K. Joshi & P.S. Roy. 1999a. Biome level classification of vegetation in western India - an application of wide field view sensor (WiFS). Joint Workshop of ISPRS Working Groups I/1, I/3 and IV/4: Sensors and Mapping from Space, Hanover (Germany), 27-30 Sept 1999.
69. Singh, Sarnam, Shefali Agarwal, P.K. Joshi & P.S. Roy. 1999b. Vegetation mapping through phenological variability - an application of multidate IRS 1C/1D-WiFS data. XIX INCA International Congress Vasco-Da-Gama (Goa), India, 26th to 28th Oct. 1999.
70. Skole, D. L., W.H. Chomentowski, W. A. Salas & A.D. Nobre. 1994. Physical and human dimensions of deforestation in Amazonia. Bioscience 44: 314-321.
71. Skole, D. L. & C.J. Tucker. 1993. Tropical deforestation and habitat fragmentation in the Amazon: satellite data from 1978 to 1988. Science 260: 1905-1990.
72. Smith, J.L, S.P. Prisley & J. Koltun. 1999. Barriers to institutionalizing digital imagery in large forest industrial organisation. ASPRS 1999 Annual Conference Proceedings, Portland, Oregon, May 17-21, 321-324.
73. Spanner, M.A., C.A. Hlavka & L.L. Pierce. 1989. Analysis of forest disturbance using TM and AVHRR data. pp. 151-156. Proceedings of the International Geoscience and Remote Sensing, Vancouver.
74. Stone, T.A., P. Schlesinger, R.A. Houghton & G.M. Woodwell. 1994. A map of vegetation of South America based upon satellite imagery. Photogrammetric Engineering and Remote Sensing 60: 541-551.
75. th Biennial Workshop on Color Aerial Photography and Videography in the Plant Sciences and Related Fields. Sparks, Nevada, 88-93.
76. Srivastava, S.K., V. Jayaraman, P. Rao, B. Manikiam & M.G. Chandrasekhar. 1997. Interlinkages of NOAA/AVHRR derived integrated NDVI to seasonal precipitation and transpiration in dry land tropics. International Journal of Remote Sensing 18: 2931-2952.
77. Townshend, J.R.G., T.E. Golf & C.J. Tucker. 1987. Multispectral dimensionality of images of normalized difference vegetation index at continental scales. IEEE Transaction on Geoscience Remote Sensing 23: 888-895.
78. Tucker, C.J., R.G. Townshend & T. Goff. 1985. Continental land cover classification using NOAA-7 AVHRR data. Science 227: 369-375.
79. th Annual Meeting of the American Society of Photogrammetry, 628-632.
80. Weber, E.P. & C.E. Olson Jr. 1967. Remote Sensing Implications of Changes in Physiologic Structure and Function of Tree Seedlings Under Moisture Stress. Annual Progress Report, Earth Resourcex Survey Program, OSSA/NASA. Ann Arbon University of Michigan School of Natural Resources.
81. Woodwell, G.M., J.E. Hobbie, R.A. Houghton, J.M. Melillo, B. Moore, B.J. Peterson & G.R. Shaver. 1983. Global deforestation: contribution to atmospheric carbon dioxide. Science 222: 1081-1086.
82. Wynne, R.H. & D.B. Carter. 1997. Will remote sensing live up to its promise for forest management. Journal of Forestry 95: 23-25.