Corpus ID: 218478396

An application to India

  title={An application to India},
  author={Kathryn Baragwanath Vogel and Ran Goldblatt and Gordon Hanson and Amit K. Khandelwal},
We propose a methodology for defining urban markets based on builtup landcover classified from daytime satellite imagery. Compared to markets defined using minimum thresholds for nighttime light intensity, daytime imagery identify an order of magnitude more markets, capture more of India’s urban population, are more realistically jagged in shape, and reveal more variation in the spatial distribution of economic activity. We conclude that daytime satellite data are a promising source for the… Expand
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Abstract Urbanization accelerated rapidly in China during the first decade of the 21st century, largely at the expense of agricultural lands. To improve available regional information related to theExpand
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Scaling up to National/Regional Urban Extent Mapping Using Landsat Data
  • G. Trianni, G. Lisini, +4 authors P. Gamba
  • Geography, Computer Science
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • 2015
This paper describes a methodology to extract a consistent human settlement extent layer using Landsat data and its implementation in the Google Earth Engine platform, allowing to check their evolution at 30-m spatial resolution. Expand
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