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Estimates of current status of forest types in Kolli Hill using remote sensing

Abstract

The vegetation of Kolli Hill, has been classified for its forest cover types using landsat TM FCCs of two season namely summer (March) and winter (November). The FCCs of two seasons were interpreted visually based on the standard interpretation elements. Extensive field checks were done and corrections were made in both the maps wherever found necessary’. Finally the forest cover type map of Kolli Hill on 1:50,000 scale was drawn by overlaying the interpreted maps of the two seasons The different types of forest were named following Champion and Seth’s classification scheme and the areas of different forest types estimated.

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References

  1. Atiar Rahman, M.D., Jabbar, M.A., Serajul Islam, M.D. and Shrestha, D.P. (1995). Study of land degradation by integration and analysis of Remotely Sensed data in Geographic Information Systems: A case study of Hathazari Thana in Bangladesh, Asian-pacific Remote Sensing 7(2): 109–116.

  2. Census of India, 1991. District Census Hand Book, Salem, Govt. of India.

  3. Champion HG and Seth SK (1968). A revised survey of forests types of India, Manager of publication, New Delhi.

  4. Geological Survey of India, (1976). Report on the investigation for Bauxite in Kolli Malai, Salem District, Tamil Nadu. Progress report for the field season 1975–76. Geological Survey of India, Tamil Nadu circle, Madras.

  5. Gupta AK, Nageswara rao PP, Ganesha Raj K, Dutt CBS and Chandrasekar MG (1993). An Integrated Approach for Resource Development Using Remote Sensing - A case study specific to Hill Areas, Indian Soc. Remote Sensing, 21(2): 99–108.

  6. Harikrishnan M (1977). Working plan for the Salem forest division, Government of Tamil Nadu, India.

  7. Horticulture Department, (1999). Meteorological report, 1970-1999, Padasolai, Kolli hill, Tamil Nadu.

  8. Latty RS and Hotter RM (1981). Waveband evaluation of proposed Thematic Mapper in forest cover classification, IARS Technical Report 041581 (N. Lafayette, Indiana: Purdue University).

  9. Matthew KM (1983). The Flora of the Tamil Nadu Carnatic, Printed at the Diocesan Press, Chennai, India.

  10. Nelson RR, Latty RS and Mott G (1984). Classifying Northern forest using Thematic Mapper simulator data, Photogramm. Eng. Remote Sensing, 50: 607–617.

  11. NRSA, (1983). Nationwide mapping of forest and non-forest areas using Landsat FCCs for the periods 1972-75 and 1980-83, Report, National Remote Sensing Agency, Hyderabad.

  12. Pant DN, Das KK, and Roy PS (1992). Mapping of Tropical Dry Deciduous Forest and Landuse in part of Vindyan Range Using Satellite Remote Sensing, Photonirvachak, Indian Soc. Remote Sensing, 20 (1): 9–20.

  13. Porwal MC and Pant DN (1989). Forest cover types and Landuse Mapping using Landsat Thematic Mapper False Color Composite - A case study for chakrata in Western Himalayas, U.P. Photonirvachak, Indian Soc. Remote Sensing, 17 (1): 33–40.

  14. Porwal MC and Roy PS (1991). Seasonal Changes in the Spectral properties of Forest types, Asian-pacific Remote Sensing 4(1): 129–135.

  15. Porwal MC and Roy PS (1992). Vegetation Type Discrimination on Landsat TM Date in Heterogeneous forested landscape of Western Ghats - Accuracy Evaluation from Large Scale Aerial Photo Maps, Indian Soc. Remote Sensing, 20(1), 21–33.

  16. Rao DP (1997). National Symposium on “Natural Resources Management System”, St. Joseph’s College (Autonomous), Tiruchirappalli, Tamil Nadu, India, Feb. 27-27.

  17. Roy PS, Kaul RN, Sharma MR and Garbyal SS (1985). Forest type stratification and delineation of Shifting Cultivation area in Eastern part of Arunachal Pradesh using Landsat MSS data. Intn. Remote Sensing, 6 (3 & 4): 411–418.

  18. Roy PS, Das KK and Naidu KSM (1991). Forest cover and landuse Mapping in Karbi Anglong and North Cachas Hills Districts of Assam Using Landsat MSS data, Photonirvachak, Indian Soc. Remote Sensing, 19(2): 113-. 123.

  19. Unni NVM, Roy PS and Parthasarathy V (1983). Feasibility of Mapping economically important Forest Species by Landsat data, Indian Soc. Remote Sensing, 11, 37.

  20. Williams DL and Nelson RF (1986). Use of Remotely Sensed data for assessing stand conditions in the eastern United States, Trans. Geosciences and Remote Sensing, GE-24: 130–138.

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Author information

Correspondence to S Jayakumar or D I Arockiasamy or S John Britto.

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Jayakumar, S., Arockiasamy, D.I. & Britto, S.J. Estimates of current status of forest types in Kolli Hill using remote sensing. J Indian Soc Remote Sens 28, 141 (2000). https://doi.org/10.1007/BF02989898

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Keywords

  • Remote Sensing
  • Forest Type
  • Landsat
  • Forest Cover Type
  • Bamboo Plantation