Quantifying production losses due to drought and submergence of rainfed rice at the household level using remotely sensed MODIS data

Khondoker Abdul Mottaleb, Murali K. Gumma, Ashok Mishra, Samarendu Mohanty

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14 Scopus citations

Abstract

Combining remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data with Bangladesh Household Income and Expenditure Survey (HIES) data, this study estimates losses in rainfed rice production at the household level. In particular, we estimated the rice areas affected by drought and submergence from remotely sensed MODIS data and rice production from Household Income and Expenditure Survey (HIES) data for 2000, 2005 and 2010. Applying two limit Tobit estimation method, this study demonstrated that both drought and submergence significantly affected rice production. Findings reveal that on average, a one percent increase in drought affected area at district level reduces Aman season rice production by approximately 1382 kilograms per household on average, annually. Similarly, a one percent increase in drought area reduces rainfed Aus season rice production by approximately 693 kilograms per household, on average, annually. Based on the findings the paper suggests disseminating and developing drought and submergence tolerant rice and also short duration rice varieties to minimize loss caused by drought and submergence in Aus and Aman rice seasons.

Original languageEnglish (US)
Pages (from-to)227-235
Number of pages9
JournalAgricultural Systems
Volume137
DOIs
StatePublished - Jul 1 2015
Externally publishedYes

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Keywords

  • Drought
  • Farm household
  • MODIS data
  • Rainfed rice
  • Remote Sensing
  • Submergence

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Animal Science and Zoology

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