Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India

Rupanarayan; Patel N.R.

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Title: :  Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India
PaperId: :  8853
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 4 2018
DUI:    16.0415/IJARIIE-8853
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Name	Author Institute
Rupanarayan	Student Indian Institute `of Remote Sensing, Dehradun
Patel N.R.	Indian Institute `of Remote Sensing, Dehradun

Abstract

Research Area	Earth science
KeyWord	Drought, MODIS,NDVI,VCI, RAI, crop yield anomaly
Abstract	Agricultural drought is one of the most prominent hazards affecting economy in Bundelkhand region. Agricultural drought has been a recurrent phenomenon in many part of India. Remote sensing plays an important role for near-real time monitoring of the agricultural drought condition over large area. In the present study MODIS – NDVI data from 2002 to 2015 were used for monitoring agricultural drought through NDVI based Vegetation condition index. VCI was calculated for whole Bundelkhand using the long term NDVI variation. Rainfall Anomaly Index was computed from CPC NOAA South Asia observed rainfall data from 2002 to 2015 for monitoring of meteorological drought of study area. VCI were compared with meteorological based Rainfall Anomaly index for monitoring drought in Bundelkhand. Results revealed that VCI and RAI could capture spatial pattern of vegetation condition and dryness within seasons and across different years. The VCI and RAI had significant correlation with crop yield anomaly of both food grains and pulses which shows the trend of crop production in study area. A comparative study on monthly drought conditions captured using VCI and RAI was made for different pair of year’s viz., 2002 & 2003, 2009 & 2010 and 2013 & 2014 as drought and normal year, respectively. In drought year, crop production severely affected which clearly discernable with both VCI and RAI of particular year. The results show that Hamirpur and Banda was the most drastically affected area in Bundelkhand region due to drought condition

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IJARIIE	Rupanarayan, and Patel N.R. . "Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 4 2018 Page 257-264
MLA	Rupanarayan, and Patel N.R. . "Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India." International Journal Of Advance Research And Innovative Ideas In Education 4.4(2018) : 257-264.
APA	Rupanarayan, & Patel N.R. . (2018). Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India. International Journal Of Advance Research And Innovative Ideas In Education, 4(4), 257-264.
Chicago	Rupanarayan, and Patel N.R. . "Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 4 (2018) : 257-264.
Oxford	Rupanarayan, and Patel N.R. . 'Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 4, 2018, p. 257-264. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Drought_assessment_using_satellite_based_vegetation_condition_index_and_rainfall_anomaly_index_over_Bundelkhand_region__India_ijariie8853.pdf (Accessed : 10 June 2020).
Harvard	Rupanarayan, and Patel N.R. . (2018) 'Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India', International Journal Of Advance Research And Innovative Ideas In Education, 4(4), pp. 257-264IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Drought_assessment_using_satellite_based_vegetation_condition_index_and_rainfall_anomaly_index_over_Bundelkhand_region__India_ijariie8853.pdf (Accessed : 10 June 2020)
IEEE	Rupanarayan, and Patel N.R. , "Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 4, pp. 257-264, Jul-Aug 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/Drought_assessment_using_satellite_based_vegetation_condition_index_and_rainfall_anomaly_index_over_Bundelkhand_region__India_ijariie8853.pdf [Accessed : 10 June 2020].
Turabian	Rupanarayan, and Patel N.R. . "Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 4 (10 June 2020).
Vancouver	Rupanarayan, and Patel N.R. . Drought assessment using satellite based vegetation condition index and rainfall anomaly index over Bundelkhand region, India. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 10 June 2020]; 4(4) : 257-264. Available from: http://ijariie.com/AdminUploadPdf/Drought_assessment_using_satellite_based_vegetation_condition_index_and_rainfall_anomaly_index_over_Bundelkhand_region__India_ijariie8853.pdf

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