Carbon Sequestration Potential of the Neyyar Wildlife Sanctuary, Kerala State, India

  • J. Firmin Linus
  • P. V. Karunakaran
  • G. Devi
Part of the Springer Earth System Sciences book series (SPRINGEREARTH)


Global Warming is becoming a huge problem for the society due to the Green House Gas emission in the wake of modernization and urbanization. The process by which carbon sinks remove carbon dioxide (CO2) from the atmosphere is known as carbon sequestration. At a large scale, forests offer better carbon sequestration than any other terrestrial land use. Satellite data can be used to estimate ground biomass, seasonal productivity and carbon sequestration. With the help of remote sensing and geographic information system (GIS), biomass and corresponding carbon sequestration potential of the forest of Neyyar Wildlife Sanctuary was estimated in this study. This study provides a methodology to assess the biomass and carbon sequestration potential with quick turnaround time. With the acquired information about the presence of different types of forests, their corresponding capacity to store carbon in the Neyyar Wildlife Sanctuary had been estimated. Classified image and NDVI images of the study area were used to find out the biomass for various vegetation classes. It was found that carbon sequestration capacity of evergreen forests was highest, followed by semi-evergreen and deciduous forests.


Normalize Difference Vegetation Index Carbon Sequestration Allometric Equation Ground Biomass Geographic Information System Software 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Garbulsky MF, Penuelas J, Papalez D, Filella I (2008) Remote estimation of carbon dioxide uptake by a Mediterranean forest. Glob Change Biol 14:2860–2867CrossRefGoogle Scholar
  2. Kaul M, Mohren GMJ, Dadhwal VK (2010) Carbon storage and sequestration potential of selected tree species in India: mitigation and adaptation strategies. Glob Change Biol 15:489–510Google Scholar
  3. Lal M, Singh R (2000) Carbon sequestration potential of Indian forests. J Environ Monit Assess 60:315–327CrossRefGoogle Scholar
  4. Ludang Y, Jaya HP (2007) Biomass and carbon content in tropical forest of central Kalimantan. J Appl Sci Environ Sanitat 2:7–12Google Scholar
  5. Mani S, Parthasarathy N (2007) Above-ground biomass estimation in ten tropical dry evergreen forest sites of peninsular India. J Biomass Bioener 31:284–290CrossRefGoogle Scholar
  6. Nisha Wani A, Velmurugan V, Dadhwal K (2010) Assessment of agricultural crop and soil carbon pools in Madhya Pradesh, India. Int Soc Tropic Ecol 51:11–19Google Scholar
  7. Pontailler J, Hymus GJ, Drake BJ, Can J (2003) Estimation of leaf area index using ground-based remote sensed NDVI measurements: validation and comparison with two indirect techniques. Remote Sens 29:381–387Google Scholar
  8. Roy PS, Ravan SA (1996) Biomass estimation using satellite remote sensing data – an investigation on possible approaches for natural forest. J Biosci 21:535–561CrossRefGoogle Scholar
  9. Sharma AR, Badarinath KVS, Roy PS (2008) Corrections for atmospheric and adjacency effects on high resolution sensor data – a case study using IRS-P6 LISS-IV data. Int Arch Photogr, Remote Sens Spatial Inf Sci XXXVII, Part B8, Beijing, pp 497–502Google Scholar
  10. Terakunpisut J, Gajaseni N, Ruankawe N (2007) Carbon sequestration potential in above ground biomass of Thong Pha Phum national forest, Thailand. J Appl Ecol Environ Res 5:93–102Google Scholar
  11. Todd SW, Hoffer RM, Milchunas DG (1998) Biomass estimation on grazed and ungrazed rangelands using spectral indices. Int J Remote Sens 19:427–438CrossRefGoogle Scholar
  12. Van Der Meer F, Bakker W, Scholte K, Skidmore A, De Jong S, Clevers J, Epema G (2000) Vegetation indices, above ground biomass estimates and the red edge from MERIS. Int Arch Photogr Remote Sens XXXIII, Part B7, Amsterdam, pp 1580–1587Google Scholar
  13. Wessels KJ, Prince SD, Zambatis N, Macfadyen S, Frost PE, Van Zyl D (2006) Relationship between herbaceous biomass and 1-km2 advanced very high resolution radiometer (AVHRR) NDVI in Kruger National Park, South Africa. Int J Remote Sens 27:951–973CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.ECE DepartmentInfant Jesus College of EngineeringTuticorinIndia
  2. 2.Centre for Environment and DevelopmentThiruvananthapuramIndia
  3. 3.Anna University of TechnologyTirunelveliIndia

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