Urbanization and agricultural land loss in India: Comparing satellite estimates with census data

Bhartendu Pandey, Karen C. Seto

Research output: Contribution to journalArticlepeer-review

206 Scopus citations

Abstract

We examine the impacts of urbanization on agricultural land loss in India from 2001 to 2010. We combined a hierarchical classification approach with econometric time series analysis to reconstruct land-cover change histories using time series MODIS 250 m VI images composited at 16-day intervals and night time lights (NTL) data. We compared estimates of agricultural land loss using satellite data with agricultural census data. Our analysis highlights six key results. First, agricultural land loss is occurring around smaller cities more than around bigger cities. Second, from 2001 to 2010, each state lost less than 1% of its total geographical area due to agriculture to urban expansion. Third, the northeastern states experienced the least amount of agricultural land loss. Fourth, agricultural land loss is largely in states and districts which have a larger number of operational or approved SEZs. Fifth, urban conversion of agricultural land is concentrated in a few districts and states with high rates of economic growth. Sixth, agricultural land loss is predominantly in states with higher agricultural land suitability compared to other states. Although the total area of agricultural land lost to urban expansion has been relatively low, our results show that since 2006, the amount of agricultural land converted has been increasing steadily. Given that the preponderance of India's urban population growth has yet to occur, the results suggest an increase in the conversion of agricultural land going into the future.

Original languageEnglish
Pages (from-to)53-66
Number of pages14
JournalJournal of Environmental Management
Volume148
DOIs
StatePublished - Jan 5 2015
Externally publishedYes

Funding

This study was supported by the NASA LCLUC grant NNX11AE88G . We thank Qingling Zhang for early discussions on algorithms to identify agricultural land loss and Nick Allen for suggestions on improving the clarity of the manuscript. We also thank the two anonymous reviewers whose comments and suggestions helped us to improve the manuscript.

Keywords

  • Agricultural census
  • Cultivated land
  • Land conversion
  • Land-use change
  • MODIS
  • Night time lights (NTL)

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