Development of index to assess drought conditions using geospatial data a case study of Jaisalmer District, Rajasthan, India
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RIS BIB ENDNOTEDevelopment of index to assess drought conditions using geospatial data a case study of Jaisalmer District, Rajasthan, India
Publication date: 12.2015
Geoinformatica Polonica, 2015, Vol. 14 (2015), pp. 29 - 39
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Development of index to assess drought conditions using geospatial data a case study of Jaisalmer District, Rajasthan, India
The Jaisalmer district of Rajasthan province of India was known to suffer with frequent drought due to poor and delayed monsoon, abnormally high summer-temperature and insuffi cient water resources. However fl ood-like situation prevails in the drought prone Jaisalmer district of Rajasthan as torrential rains are seen to affect the region in the recent years. In the present study, detailed analysis of meteorological, hydrological and satellite data of the Jaisalmer district has been carried out for the years 2006−2008. Standardized Precipitation Index (SPI), Consecutive Dry Days (CDD) and Effective Drought Index (EDI) have been used to quantify the precipitation defi cit. Standardized Water-Level Index (SWI) has been developed to assess ground-water recharge-defi cit. Vegetative drought indices like Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Vegetation Health Index (VHI), Normalized Difference Vegetation Index (NDVI) and Modifi ed Soil-Adjusted Vegetation Index 2 have been calculated. We also introduce two new indices Soil based Vegetation Condition Index (SVCI) and Composite Drought Index (CDI) specifi cally for regions like Jaisalmer where aridity in soil and affects vegetation and water-level.
Dalezios NR, Blanta A, Spyropoulos NV (2012) Assessment of remotely sensed drought features in vulnerable agriculture. Nat. Hazards Earth Syst. Sci., (12): 3139–3150.
Matalas NC (1963) Probability distribution of low flows. USGS Professional Paper 434-A, U.S. Government Printing Office, Washington D.C
Dracup JA, Lee KS, Paulson EG Jr (1980) On a definitione of drought. Water Resour. Res. 16 (2), 297–302
UNDP-DDC/BCPR and UN – ISDR, 2005: Drought Risk and Development Policy Discussion Paper, Expert Workshop Drought Risk and Development (January 31 – February 2, 2005), at www.undp.org/drylands/docs/drought/Drought discussion Paper.pdf.
Dracup JA (1991) Drought Monitoring, Stochastic Hydrology and Hydraulics 5 (4): 261–266
Nagarajan R (2004). Drought Vulnerability Assessment Using Geoinformatics. Bombay, CSRE, Indian Institute of Technology
Heim Jr. RR (2002) A Review of Twentieth- Century Drought Indices Used in the United States, B. Am. Meteorol. Soc., (83): 1149–1165.
McVicar TR, Jupp DLB (1998). The Current and Potential Operational Uses of Remote Sensing to Aid Decisions on Drought Exceptional Circumstances in Australia: a Review, Agr. Systems (57): 399–468
Knutson C, Hayes M, Phillips T (1998) How to Reduce Drought Risk Preparedness and Mitigation Working Group of the Western Drought Coordination Council, Lincoln, Nebraska (http://drought.unl.edu/handbook/risk.pdf).
Smakhtin VU, Hughes DA (2004) Review, Automated Estimation and Analyses of Drought Indices in South Asia. IWMI Working Paper N. 83 – Drought Series Paper N 1. Colombo, Sri Lanka
Wilhite DA., Hayes MJ, Knutson CL, Smith KH (2000): Planning for Drought: Moving from Crisis to Risk Management, Journal of American Water Resources Association 36(4):697–710.
Hicham Ezzine, Ahmed Bouziane, Driss Ouazar. (2014) Seasonal comparisons of meteorological and agricultural drought indices in Morocco using open short time-series data. International Journal of Applied Earth Observation and Geoinformation (26): 36–48.
Naumann G, Barbosa P, Carrao H, Singleton A, Vogt J (2012) Monitoring Drought Conditions and Their Uncertainties in Africa Using TRMM Data. J. Appl. Meteor. Climatol., (51): 1867–1874
Du L, Tian Q, Huang Y, Liu J (2012) Drought monitoring based on TRMM data and its reliability validation in Shandong province, Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering (28): 121–126.
Caccamo G, Chisholm LA, Bradstock RA, Puotinen ML (2011). Assessing the sensitivity of MODIS to monitor drought in high biomass ecosystems, Remote Sens. Environ., 115: 2626– 2639
Thiruvengadachari S, Gopalkrishna HR (1993) An integrated PC environment for assessment of drought. International Journal of Remote Sensing (14):3201–3208
Tian G (1993) Estimation of Evapotranspiration and Soil moisture and Drought Monitoring using Remote Sensing in North China Plain. In Space and Environment, Special Plenary Session. In International Astronautical Federation, 44th IAF Congress Graz, Austria, pp. 23–31
Johnson GE, Achutuni VR, Thiruvengadachari S, Kogan FN (1993) The role of NOAA satellite data in drought early warning and monitoring: Selected case studies. Chapter 3. In Drought assessment, management, and planning: Theory and case studies, ed D. A. Wilhite, 31–48. New York, NY: Kluwer Academic Publishers
Bhuiyan C (2004) Various drought indices for monitoring drought condition in Aravalli terrain of India. Proceedings of the XXth ISPRS Conference, Istanbul, 12–23 July 2004, pp. 907–912
Tian G, Jupp DLB, Qin Y, McVicar TR, Li F (1998) Monitoring Soil Moisture and Drought Using AVHRR Satellite Data II: Applications. CSIRO Earth Observation Centre, Canberra, ACT
Kogan FN (1995) Droughts of the late 1980s in the United States as derived from NOAA polar orbiting satellite data. Weather in the United States. Bulletin of American Meteorological Society (76): 655–668
McVicar TR, Tian G, Jupp DLB, Li F (1993). Soil moisture and drought monitoring using remote sensing. In Proceedings of the 14th Asian Conference on Remote Sensing Tehran, Iran, pp. A.5.1 – A.5.6
Anderson MC, Hain C, Wardlow B, Pimstein A, Mecikalski JR, Kustas WP (2011) Evaluation of drought indices based on Thermal remote sensing of evapotranspiration over the continental United States, J. Climate (24):2025–2044.
Kanellou E, Spyropoulos N, and Dalezios NR (2011) Geoinformatic Intelligence Methodologies for Drought Spatiotemporal Variability in Greece, Water Resour. Manage. (26): 1089–1106
Thenkabail PS, Enclona EA, Ashton MS, Legg C, Jean De Dieu M (2004) Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests . Remote Sensing of Environment (90): 23–43
Eklundh L (1996) AVHRR NDVI for Monitoring and Mapping of Vegetation and Drought in East African Environments, Meddelanden fran Lunds Universitets Geografiska Institutioner, 126, Lund University Press, Lund, Sweden, 187 p.
Vogt JV, Viau AA, Beaudin I, Niemeyer S, Somma F (1998). Drought Monitoring from Space Using Empirical Indices and Physical Indicators, Proc. Int. Symp. on Satellite-Based Observation: A Tool for the Study of the Mediterranean Basin , Tunis, Tunisis, 7 p.
Gosh TK (1997) Investigation of Drought Through Digital Analysis of Satellite Data and Geographical Information Systems, Theor. Appl. Climatol . (58): 105–11
McKee TB, Doesken NJ, Kleist J (1993) The Relationship of Drought Frequency and Duration to Time Scales, Proc. 8th Conf. on Appl. Clim ., 17–22 Jan. 1993, Anaheim, CA, 179–18
Shafer BA, Dezman LE (1982). Development of a Surface Water Supply Index (SWSI) to assess the severity of drought conditions in snowpack runoff areas. In: Proceedings of the Western Snow Conference, Fort Collins, CO, pp. 164âA˘ S¸ 175.
Chatterji PC, Kar A. (Eds.) (1992). Integrated natural and human resources appraisal of Jaisalmer district. CAZRI, Jodhpur, P.156.
Byun HR, Wilhite DA (1999). Objective quantifi cation of drought severity and duration. J. Climate (12): 2747–2756.
Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment (8) :127–150
Teillet PM, Staenz K, Willams DJ (1997) Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions. Remote Sensing of Environment (61): 139–1
Baret F, Guyot G (1991) Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment (35):161–173
Thenkabail PS, Gamage MSDN, Smakhtin VU (2004) The Use of Remote Sensing Data for Drought Assessment and Monitoring in Southwest Asia, Research Report, International Water Management Institute (85): 1–25
Kogan FN (1990) Remote sensing of weather impacts on vegetation in non-homogeneous areas. Int. J. Remote Sensing, 11(8): 1405-1419
Information: Geoinformatica Polonica, 2015, Vol. 14 (2015), pp. 29 - 39
Article type: Original article
Titles:
Development of index to assess drought conditions using geospatial data a case study of Jaisalmer District, Rajasthan, India
Lab for Spatial Informatics, International Institute of Information Technology, Gachibowli, Hyderabad – 500032
Lab for Spatial Informatics, International Institute of Information Technology, Gachibowli, Hyderabad – 500032
Lab for Spatial Informatics, International Institute of Information Technology, Gachibowli, Hyderabad – 500032
Published at: 12.2015
Article status: Open
Licence: None
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