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Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods

Author

Listed:
  • Arnab Kundu

    (Sam Higginbottom Institute of Agriculture, Technology and Sciences
    University of Allahabad)

  • N. R. Patel

    (Indian Space Research Organisation)

  • S. K. Saha

    (Centre for Space Science and Technology Education in Asia and the Pacific)

  • Dipanwita Dutta

    (Vidyasagar University)

Abstract

Owing to its impact on global ecosystem, climate change and related effects is being perceived as a serious issue worldwide especially in the arid and semi-arid regions. Climatic variability has been considered as a major cause for degradation of natural resources. Desertification caused by climatic or human-induced processes negatively affects the productivity of land within an ecosystem. It is noteworthy that depletion of vegetation cover plays a key role in land degradation; in fact reduction in plants and perennial cover is regarded as an indicator of the onset of desertification. Temporal analysis of satellite-based NDVI is one of the major remote sensing tools which can identify the depletion of vegetation cover. In the present study, rain-use efficiency (RUE) method has been used for monitoring vegetation degradation and, substantially, the process of desertification in western Rajasthan. RUE, the ratio between normalized growing season NDVI and rainfall, has been calculated for individual years (1983–2013). A correlation analysis was carried out by considering yearly RUE as dependent variable and time (years) as the independent variable. It shows that regression slope of RUE mainly depends upon the dynamic condition of integrated NDVI and rainfall. In order to monitor the areas under human-induced desertification, the residual trend method has been adopted. The correlation between rainfall and NDVI was found significant (p

Suggested Citation

  • Arnab Kundu & N. R. Patel & S. K. Saha & Dipanwita Dutta, 2017. "Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 297-313, March.
    • Handle: RePEc:spr:nathaz:v:86:y:2017:i:1:d:10.1007_s11069-016-2689-y
    DOI: 10.1007/s11069-016-2689-y
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    References listed on IDEAS

    as
    1. R. Sahoo & Dipanwita Dutta & M. Khanna & N. Kumar & S. Bandyopadhyay, 2015. "Drought assessment in the Dhar and Mewat Districts of India using meteorological, hydrological and remote-sensing derived indices," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 733-751, June.
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    Cited by:

    1. Abhishek Danodia & Anuradha Kushwaha & N. R. Patel, 2021. "Remote sensing-derived combined index for agricultural drought assessment of rabi pulse crops in Bundelkhand region, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15432-15449, October.

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