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Application of meteorological and vegetation indices for evaluation of drought impact: a case study for Rajasthan, India

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  • Sanjay Jain
  • Ravish Keshri
  • Ajanta Goswami
  • Archana Sarkar

Abstract

Drought is a serious climatic condition that affects nearly all climatic zones worldwide, with semi-arid regions being especially susceptible to drought conditions because of their low annual precipitation and sensitivity to climate changes. Drought indices such as the standardized precipitation index (SPI) using meteorological data and vegetation indices from satellite data were developed for quantifying drought conditions. Remote sensing of semi-arid vegetation can provide vegetation indices which can be used to link drought conditions when correlated with various meteorological data based drought indices. The present study was carried out for drought monitoring for three districts namely Bhilwara, Kota and Udaipur of Rajasthan state in India using SPI, normalized difference vegetation index (NDVI), water supply vegetation index (WSVI) and vegetation condition index (VCI) derived from the Advanced Very High resolution Radiometer (AVHRR). The SPI was computed at different time scales of 1, 2, 3, 6, 9 and 12 months using monthly rainfall data. The NDVI and WSVI were correlated to the SPI and it was observed that for the three stations, the correlation coefficient was high for different time scales. Bhilwara district having the best correlation for the 9-month time scale shows late response while Kota district having the best correlation for 1-month shows fast response. On the basis of the SPI analysis, it was found that the area was worst affected by drought in the year 2002. This was validated on the basis of NDVI, WSVI and VCI. The study clearly shows that integrated analysis of ground measured data and satellite data has a great potential in drought monitoring. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Sanjay Jain & Ravish Keshri & Ajanta Goswami & Archana Sarkar, 2010. "Application of meteorological and vegetation indices for evaluation of drought impact: a case study for Rajasthan, India," 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. 54(3), pages 643-656, September.
    • Handle: RePEc:spr:nathaz:v:54:y:2010:i:3:p:643-656
    DOI: 10.1007/s11069-009-9493-x
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    1. Mohamed Mouafik & Abdelghani Chakhchar & Mounir Fouad & Ahmed El Aboudi, 2024. "Remote Sensing Technologies for Monitoring Argane Forest Stands: A Comprehensive Review," Geographies, MDPI, vol. 4(3), pages 1-21, July.
    2. Dimitrios Myronidis & Dimitrios Stathis & Konstantinos Ioannou & Dimitrios Fotakis, 2012. "An Integration of Statistics Temporal Methods to Track the Effect of Drought in a Shallow Mediterranean Lake," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4587-4605, December.
    3. 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.
    4. German Santacruz-De León & Janete Moran-Ramírez & José Alfredo Ramos-Leal, 2022. "Impact of Drought and Groundwater Quality on Agriculture in a Semi-Arid Zone of Mexico," Agriculture, MDPI, vol. 12(9), pages 1-18, September.
    5. Omidreza Mikaili & Majid Rahimzadegan, 2022. "Investigating remote sensing indices to monitor drought impacts on a local scale (case study: Fars province, Iran)," 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. 111(3), pages 2511-2529, April.
    6. T. V. Lakshmi Kumar & Koteswara Rao & R. Uma & Humberto Barbosa & K. V. K. R. K. Patnaik & Emily Prabha Jothi, 2016. "On the relation of vegetation and southwest monsoon rainfall over Western Ghats, India," 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. 84(1), pages 425-436, October.
    7. Leisenheimer, Leonie & Wellmann, Thilo & Jänicke, Clemens & Haase, Dagmar, 2024. "Monitoring drought impacts on street trees using remote sensing - Disentangling temporal and species-specific response patterns with Sentinel-2 imagery," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 82, pages 1-14.
    8. Watinee Thavorntam & Netnapid Tantemsapya & Leisa Armstrong, 2015. "A combination of meteorological and satellite-based drought indices in a better drought assessment and forecasting in Northeast Thailand," 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(3), pages 1453-1474, July.
    9. Lu Liu & Yang Hong & Christopher Bednarczyk & Bin Yong & Mark Shafer & Rachel Riley & James Hocker, 2012. "Hydro-Climatological Drought Analyses and Projections Using Meteorological and Hydrological Drought Indices: A Case Study in Blue River Basin, Oklahoma," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2761-2779, August.
    10. Francisco José Del-Toro-Guerrero & Luis Walter Daesslé & Rodrigo Méndez-Alonzo & Thomas Kretzschmar, 2022. "Surface Reflectance–Derived Spectral Indices for Drought Detection: Application to the Guadalupe Valley Basin, Baja California, Mexico," Land, MDPI, vol. 11(6), pages 1-19, May.
    11. Manish Kumar Goyal & Ashutosh Sharma, 2016. "A fuzzy c-means approach regionalization for analysis of meteorological drought homogeneous regions in western India," 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. 84(3), pages 1831-1847, December.
    12. V. K. Prajapati & M. Khanna & M. Singh & R. Kaur & R. N. Sahoo & D. K. Singh, 2021. "Evaluation of time scale of meteorological, hydrological and agricultural drought 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. 109(1), pages 89-109, October.
    13. Omvir Singh & Divya Saini & Pankaj Bhardwaj, 2021. "Characterization of meteorological drought over a dryland ecosystem in north western India," 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. 109(1), pages 785-826, October.
    14. N. Patel & Kamana Yadav, 2015. "Monitoring spatio-temporal pattern of drought stress using integrated drought index over Bundelkhand region, India," 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 663-677, June.
    15. Iman Khosravi & Yaser Jouybari-Moghaddam & Mohammad Reza Sarajian, 2017. "The comparison of NN, SVR, LSSVR and ANFIS at modeling meteorological and remotely sensed drought indices over the eastern district of Isfahan, Iran," 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. 87(3), pages 1507-1522, July.
    16. Mehmet Dikici, 2022. "Drought Analysis for the Seyhan Basin with Vegetation Indices and Comparison with Meteorological Different Indices," Sustainability, MDPI, vol. 14(8), pages 1-17, April.

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