Identifying Urban Areas by Combining Data from the Ground and from Outer Space : An Application to India

Identifying Urban Areas by Combining Data from the Ground and from Outer Space : An Application to India

This paper develops a tractable method to identify urban areas and applies it to India, where urbanization is messy. Google Earth images are assessed subjectively to determine whether a stratified large sample of Indian cities, towns and villages,...

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Bibliographic Details
Main Authors: Galdo, Virgilio, Li, Yue, Rama, Martin
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2018
Subjects:
URBANIZATION
URBAN EXTENT
URBAN SPRAWL
SATELLITE IMAGERY
GEOSPATIAL ECONOMICS
GEOREFERENCED DATA
Online Access:http://documents.worldbank.org/curated/en/892371540833795715/Identifying-Urban-Areas-by-Combining-Data-from-the-Ground-and-from-Outer-Space-An-Application-to-India
http://hdl.handle.net/10986/30648

Internet

http://documents.worldbank.org/curated/en/892371540833795715/Identifying-Urban-Areas-by-Combining-Data-from-the-Ground-and-from-Outer-Space-An-Application-to-India
http://hdl.handle.net/10986/30648

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