Skip to main content

Drought Monitoring of Chhattisgarh Using Different Indices Based on Remote Sensing Data

  • Conference paper
  • First Online:

Part of the book series: Advances in Geographical and Environmental Sciences ((AGES))

Abstract

The mid-latitude and new born state Chhattisgarh faces drought due to poor and delayed monsoon, very high summer temperature and in sufficient water resources. In the present study detailed analysis of vegetative and meteorological drought indicative indices of the study area, has been carried out for the years 2009–2012. Standardised Precipitation Index (SPI) has been used to quantify the precipitation deficit. It is calculated using TRMM Monthly gridded rainfall data. Vegetative drought indices like Vegetation Health Index (VHI) obtained from Global Vegetation Index (GVI) of NOAA AVHRR satellite. Normalized Difference Vegetation Index (NDVI) obtained from MODIS. Detailed analyses of spatial and temporal drought Indices during monsoon and non-monsoon seasons have been carried out through. Drought Index Maps generated in Geographic Information Systems (GIS) environment. Analysis and interpretation of these maps reveal that there is severe drought condition in Chhattisgarh on 2009, 2011 and 2012. Mainly pre-monsoon condition have faced drought due to lack of rainfall. So, Drought and precipitation are interdependent. There is good correlation between SPI and VHI, and Poor correlation between SPI and NDVI. Also there is some correlation between VHI and NDVI. These indices are also inter-dependent, interrelated and good indicator of drought.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Bhuiyan C (2004) Various drought indices for monitoring drought condition in Aravalli terrain of India. In: Proceedings of the XXth ISPRS Conference. Int Soc Photogramm Remote Sens, Istanbul

    Google Scholar 

  • Bhuiyan C, Singh RP, Kogan FN (2006) Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. Int J Appl Earth Obs Geoinf 8:289

    Article  Google Scholar 

  • Edwards DC, McKee TB (1997) Characteristics of 20th century drought in the United States at multiple timescales, Climatology Report No 97–2. Colorado State University, Fort Collins

    Google Scholar 

  • Gibbs WJ, Maher JV (1967) Rainfall deciles as drought indicators. Bureau of Meteorology Bulletin No 48, Commonwealth of Australia, Melbourne

    Google Scholar 

  • Guttman NB (1998) Comparing the palmer drought index and standardized precipitation index. J Am Water Resour Assoc 34(1):113–121

    Article  Google Scholar 

  • Human Development Report of Chhattisgarh (2005) Government of Chhattisgarh, Chhattisgarh

    Google Scholar 

  • Jelenak A (2004) Experimental global vegetation index processing system: GVI-x version 0.05, NOAA

    Google Scholar 

  • Karnieli A, Sprintsin M, Berliner P, Rotenberg E, Yakir D, Cohen S (2009) Evaluating the performance of the MODIS Leaf Area Index (LAI) product over a Mediterranean dryland planted forest. Int J Remote Sens 30(19):5061–5069

    Article  Google Scholar 

  • Keyantash J, Dracup JA (2004) An aggregate drought index: assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage. Water Resour Res 40. doi:10.1029/2003WR002610

  • Kogan FN (1990) Remote sensing of weather impacts on vegetation in non-homogeneous areas. Int J Remote Sens 11(8):1405–1419

    Article  Google Scholar 

  • Kogan FN (2001) Operational space technology for global vegetation assessment. Bull Am Meteorol Soc 82(9):1949–1964

    Article  Google Scholar 

  • Kogan FN (2002) World droughts in the new millennium from AVHRR-based Vegetation Health Indices. Eos Trans Am Geophy Union 83(48):562–563

    Article  Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1993). The relation of drought frequency and duration to time scales. Proceedings of the eighth conference on applied climatology. Am Meteorol Soc, Boston, pp 179–184

    Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1995) Drought monitoring with multiple time scales. In: Proceedings of the ninth conference on applied climatology, Am Meteorol Soc Boston, pp 233–236

    Google Scholar 

  • Palmer WC (1965) Meteorological drought. Research Paper No. 45, U.S. Department of Commerce Weather Bureau, Washington, DC

    Google Scholar 

  • Palmer WC (1968) Keeping track of crop moisture conditions, nationwide: the new crop moisture index. Weatherwise 21:156–161

    Article  Google Scholar 

  • Shafer BA, Dezman LE (1982) Development of a surface water supply index (SWSI) to assess the severity of drought conditions in snowpack runoff areas.

    Google Scholar 

  • USDA (1994) Major world crop areas and climatic profiles. World Agricultural Outlook Board, US Department of Agriculture, Agricultural Handbook No 664, pp 157–70

    Google Scholar 

  • Wilhite DA, Glantz MH (1985) Understanding the drought phenomenon: the role of definitions. Water Int 10:111–120

    Article  Google Scholar 

  • Wilhite DA, Rosenberg NJ, Glantz MH (1986) Improving federal response to drought. J Clim Appl Meteorol 25:332–342

    Article  Google Scholar 

Download references

Acknowledgement

The authors are highly thankful to Dr. P. K. Joshi, Head, Department of Natural Resources, TERI University for giving the opportunity to avail needed datasets and useful guidance to complete this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Mukherjee .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Japan

About this paper

Cite this paper

Mukherjee, T., Mukherjee, S., Mukhopadhaya, A., Roy, A.K., Dutta, S. (2014). Drought Monitoring of Chhattisgarh Using Different Indices Based on Remote Sensing Data. In: Singh, M., Singh, R., Hassan, M. (eds) Climate Change and Biodiversity. Advances in Geographical and Environmental Sciences. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54838-6_7

Download citation

Publish with us

Policies and ethics