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Journal of Forest Research

, Volume 17, Issue 2, pp 121–128 | Cite as

Remote sensing analysis of forest damage by selection logging in the Kabaung Reserved Forest, Bago Mountains, Myanmar

  • Rosy Ne Win
  • Reiji Suzuki
  • Shinya Takeda
Original Article

Abstract

Selection logging is a principal management scheme in natural teak-bearing forests in Myanmar. Monitoring the spatial extent and intensity of selection logging is important for sustainable forest management. This study applied the normalized difference vegetation index (NDVI) image differencing method using two SPOT-5 pan-sharpened images (2.5 m spatial resolution) taken in October 2007 and January 2009 to analyze canopy changes associated with damage from forest harvesting. According to the pixel-based analysis, NDVI changes were larger in most logging road/log landing points whereas smaller NDVI changes were seen in most unlogged points. NDVI changes in teak stump areas were related to distance from a logging road and the number of stumps within the estimated crown area (a circular area with a 10 m radius from the center of each stump). A Fisher’s exact test showed that one of the main factors causing the high NDVI change in teak stump areas was the effect of road construction. The distribution pattern of teak stumps indicated that teak stumps with estimated crown areas that contained more than one stump had high mean change in NDVI. The spectral difference between before and after logging revealed that logging roads had a greater effect on canopy changes than teak stumps.

Keywords

Canopy change Image differencing method Myanmar selection system NDVI Teak 

Notes

Acknowledgments

This study was financially supported by Grants-in-Aid for Scientific Research from the JSPS (21255003, and 20710189) and the JSPS Global COE Program (E-04). We would like to express our thanks to the Forest Department, Myanmar Timber Enterprise, Myanmar and villagers of Kayinmathe village for their support and collaboration during the field work.

References

  1. Arroyo-Mora JP, Kalacska M, Chazdon R (2009) Spectral unmixing of forest canopy recovery in selectively logged units in a tropical lowland forest, Costa Rica. Anais XIV Simpósio Brasileiro de Sensoriamento Remoto, Natal, Brasil, 25–30 abril 2009, INPE. pp 2539–2546Google Scholar
  2. Asner GP, Keller M, Pereira R, Zweede JC (2002) Remote sensing of selective logging in Amazonia assessing limitations based on detailed field observations, Landsat ETM+, and textural analysis. Remote Sens Environ 80:483–496CrossRefGoogle Scholar
  3. Asner GP, Keller M, Silvas JNM (2004) Spatial and temporal dynamics of forest canopy gaps following selective logging in the eastern Amazon. Glob Change Biol 10:765–783CrossRefGoogle Scholar
  4. Aung Thant Zin (2000) Potentialities and constraints of teak bearing forest for sustainable forest management under current management system in Oattwin Township forest, Bago Yoma Region, Myanmar. M Sc thesis, Dresden Technical University, Tharandt, GermanyGoogle Scholar
  5. Bawa KS, Seidler R (1998) Natural forest management and conservation of biodiversity in tropical forests. Conserv Biol 12:46–55CrossRefGoogle Scholar
  6. Bellone T, Boccardo P, Perez F (2009) Investigation of vegetation dynamics using long-term normalized difference vegetation index time-series. Am J Environ Sci 5:460–466CrossRefGoogle Scholar
  7. Bhandari SP (2003) Detecting and characterizing selective logging in tropical forest. A case study in Labanan concession, East Kalimantan, Indonesia. ITC, EnschedeGoogle Scholar
  8. Broadbent EN, Zarin DJ, Asner GP, Claros MP, Cooper A, Littell R (2006) Recovery of forest structure and spectral properties after selective logging in lowland Bolivia. Ecol Appl 16:1148–1163PubMedCrossRefGoogle Scholar
  9. Chowdhury RR (2006) Driving forces of tropical deforestation: the role of remote sensing and spatial models. Singapore J Trop Geogr 27:82–101CrossRefGoogle Scholar
  10. Coppin PR, Bauer ME (1996) Digital change detection in forest ecosystems with remotely sensed imagery. Remote Sens Rev 13:207–234CrossRefGoogle Scholar
  11. Fraser RH, Abuelgasim A, Latifovic R (2005) A method for detecting large-scale forest cover change using coarse spatial resolution imagery. Remote Sens Environ 95:414–427CrossRefGoogle Scholar
  12. Fuller DO (2006) Tropical forest monitoring and remote sensing: A new era of transparency in forest governance? Singapore J Trop Geogr 27:15–29CrossRefGoogle Scholar
  13. Hame T, Heller I, Miguel-Ayanz JS (1998) An unsupervised change detection and recognition system for forestry. Int J Remote Sens 19:1079–1099CrossRefGoogle Scholar
  14. Huete AR, Liu H (1994) An error and sensitivity analysis of the atmospheric and soil-correcting variants of the NDVI for the MODIS-EOS. IEEE Trans Geosci Remote 32:897–905CrossRefGoogle Scholar
  15. Huth A, Ditzer T (2001) Long-term impacts of logging in a tropical rain forest—a simulation study. For Ecol Manage 142:33–51CrossRefGoogle Scholar
  16. Jackson SM, Fredericksen TS, Malcolm JR (2002) Area disturbed and residual stand damage following logging in a Bolivian tropical forest. For Ecol Manage 166:271–283CrossRefGoogle Scholar
  17. Johns JS, Barreto P, Uhl C (1996) Logging damage during planned and unplanned logging operations in the eastern Amazon. For Ecol Manage 89:59–77CrossRefGoogle Scholar
  18. Ko Ko Gyi, Kyaw Tint (1995) Status of management of natural teak forests. Paper presented to the second regional seminar on teak. 23 May–3 June 1995, Yangon, MyanmarGoogle Scholar
  19. Leprieur C, Kerr YH, Mastorchio S, Meunier JC (2000) Monitoring vegetation cover across semi-arid regions: comparison of remote observations from various scales. Int J Remote Sens 21:281–300CrossRefGoogle Scholar
  20. Panigrahy RK, Kale MP, Dutta U, Mishra A, Banerjee B, Singh S (2010) Forest cover change detection of Western Ghats of Maharashtra using satellite remote sensing based visual interpretation technique. Curr Sci 98:657–664Google Scholar
  21. Pereira R, Zweede J, Asner GP, Keller M (2002) Forest canopy damage and recovery in reduced-impact and conventional selective logging in eastern Para, Brazil. For Ecol Manage 168:77–89CrossRefGoogle Scholar
  22. Podeh SS, Oladi J, Pormajidian MR, Zadeh MM (2009) Forest change detection in the North of Iran using TM/ETM+ imagery. Asian J Appl Sci 2:464–474CrossRefGoogle Scholar
  23. Read JM, Clark DB, Venticinque EM, Moreira MP (2003) Application of merged 1-m and 4-m resolution satellite data to research and management in tropical forests. J Appl Ecol 40:592–600CrossRefGoogle Scholar
  24. Sader SA, Bertrand M, Wilson EH (2003) Satellite change detection of forest harvest patterns on an Industrial forest landscape. For Sci 49:341–353Google Scholar
  25. Schulze M, Zweede J (2006) Canopy dynamics in unlogged and logged forest stands in the eastern Amazon. For Ecol Manage 236:56–64CrossRefGoogle Scholar
  26. Steininger MK, Tucker CJ, Townshend JRG, Killeen TJ, Desch A, Bell V, Ersts P (2001) Tropical deforestation in the Bolivian Amazon. Environ Conserv 28:127–134CrossRefGoogle Scholar
  27. Stone TA, Lefebvre P (1998) Using multi-temporal satellite data to evaluate selective logging in Para, Brazil. Int J Remote Sens 19:2517–2526CrossRefGoogle Scholar
  28. Thein Hla Maung, Kanzaki M, Fukushima M, Minn Yazar (2007) Structure and composition of a teak-bearing forest under the Myanmar Selection System: impacts of logging and bamboo flowering. Southeast Asian Stud 45:303–316Google Scholar
  29. Verissimo A, Barreto P, Mattos M, Tarifa R, Uhl C (1992) Logging impacts and prospects for sustainable forest management in an old Amazonian frontier: the case of Paragominas. For Ecol Manage 55:169–199CrossRefGoogle Scholar
  30. Vieira G (1995) Dynamics of the remaining plant population in gaps after logging in the Amazon. In: Malik ARA, Nik AR, Mohamad A, See LS, Hoy AWH, Choon KK (eds) Conference on Forestry and Forest Products Research: proceeding of the third conference. Forest Research Institute Malaysia, Malaysia, pp 54–67Google Scholar
  31. Villela DM, Nascimento MT, de Aragāo LEOC, da Gama DM et al (2006) Effect of selective logging on forest structure and nutrient cycling in a seasonally dry Brazilian Atlantic forest. J Biogeogr 33:506–516CrossRefGoogle Scholar
  32. Wang C, Qi J, Cochrane M (2005) Assessment of tropical forest degradation with canopy fractional cover from Landsat ETM+ and IKONOS imagery. Earth Interactions 9:paper no. 22Google Scholar
  33. Yu Kay Thwe (2007) Preliminary assessment of existing timber harvesting practices with reduced impact logging (RIL) at an operational level in West Swa Reserved Forest, Bago Yoma. Master thesis, University of Forestry, MyanmarGoogle Scholar
  34. Zaw Khin (2004) Harvesting, processing and trade of teak in Myanmar. A paper presented at the national forum on sustainable teak and bamboo development in Myanmar. 30 March 2004. Forest Department, YangonGoogle Scholar

Copyright information

© The Japanese Forest Society and Springer 2011

Authors and Affiliations

  1. 1.Graduate School of Asian and African Area StudiesKyoto UniversityKyotoJapan
  2. 2.Institute of Sustainability Science and Center for Southeast Asian StudiesKyoto UniversityKyotoJapan

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