Quantification of agricultural drought over Indian region: a multivariate phenology-based approach

The present study proposed a new index, i.e. multivariate phenology-based agricultural drought index, for quantification of the agricultural drought using long-term crop phenological parameters

Prabir Kumar Das; Rituparna Das; Dilip Kumar Das; Subrata Kumar Midya; Soumya Bandyopadhyay; Uday Raj

2020

Scholarcy highlights

  • The objective, accurate and rapid quantification of agricultural drought is the key component of effective drought planning and management mechanism
  • The present study proposed a new index, i.e. multivariate phenology-based agricultural drought index, for quantification of the agricultural drought using long-term crop phenological parameters
  • The lgp and integrated NDVI were selected among all phenological parameters for their capability to represent alterations in crop duration and crop production, respectively
  • The long-term lgp and iNDVI of individual pixel were detrended and transformed into standardized lgp and standardized iNDVI to eliminate the existing trends developed due to technological improvements during study period and existing heterogeneity of Indian agricultural system, respectively
  • The MADI was calculated by fitting Slgp and SiNDVI into joint probability distribution, where the best joint distribution family along with associated parameters was selected based on the goodness-of-fit for individual pixel
  • The efficacy of the proposed index was tested over the Indian region by comparing with the multivariate standardized drought index, which considers the impacts of both meteorological and soil moisture drought using copula approach

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