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Geospatial Strategy for Estimation of Soil Organic Carbon in Tropical Wildlife Reserve

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Remote Sensing Applications in Environmental Research

Part of the book series: Society of Earth Scientists Series ((SESS))

Abstract

This study focuses on the estimation of soil organic carbon of Sariska Wildlife Reserve. The soil organic carbon is one of the most important issues in the research area of the global carbon cycle as it is the largest terrestrial carbon pool. Geospatial and various forest inventory approaches were used during study for statistical correlation between estimated and predicted value. Remote sensing plays a vital role in spatial data acquisition of the ecosystem carbon dynamics at local, regional, and global scale. The advantage of remote sensing is that it provides synoptic observation, periodical and continuous measurement, and availability of digital data for processing standardization. IRS P6 LISS III data (September 2012) were used to analyze the precise estimation of the percentage of the soil organic carbon associated with organic matter in soil. Statistical analysis was performed for finding the regression curve between the predicted and estimated value of soil organic carbon. The results illustrated that the determination of coefficient (r2) between the predicted and estimated SOC values is found to be 0.708.

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Acknowledgment

We are thankful to Haryana Space Applications Centre (Department of Science and Technology), Hisar, Haryana, India for providing satellite and ancillary data support. We are thankful to Department of Remote Sensing, Banasthali Vidyapith, Rajasthan-304022, India for providing all necessary support.

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Authors and Affiliations

  1. Department of Remote Sensing, Banasthali University, Newai, Rajasthan, India

    Gargi Gupta, Jyoti Singh, Vandana Tomar & Pavan Kumar

  2. Department of Geography, University of Leicester, Leicester, LE1 7RH, UK

    Prem Chandra Pandey

  3. Project Directorate for Farming System Research, Meerut, Uttar Pradesh, India

    Meenu Rani

Authors
  1. Gargi Gupta
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  2. Jyoti Singh
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  3. Prem Chandra Pandey
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  4. Vandana Tomar
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  5. Meenu Rani
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  6. Pavan Kumar
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Corresponding author

Correspondence to Pavan Kumar .

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Editors and Affiliations

  1. Hydrological Sciences, ESSIC/NASA GSFC, Greenbelt, Maryland, USA

    Prashant K. Srivastava

  2. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India

    Saumitra Mukherjee

  3. Civil Engineering, Indian Institute of Technology (IIT), New Delhi, India

    Manika Gupta

  4. Atmospheric Sciences, CIRA/NOAA, College Park, Maryland, USA

    Tanvir Islam

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© 2014 Springer International Publishing Switzerland

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Gupta, G., Singh, J., Pandey, P.C., Tomar, V., Rani, M., Kumar, P. (2014). Geospatial Strategy for Estimation of Soil Organic Carbon in Tropical Wildlife Reserve. In: Srivastava, P., Mukherjee, S., Gupta, M., Islam, T. (eds) Remote Sensing Applications in Environmental Research. Society of Earth Scientists Series. Springer, Cham. https://doi.org/10.1007/978-3-319-05906-8_5

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