We propose a methodology for defining urban markets based on built-up land-cover 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 study of urban forms.
Go to Resource| Field | Value |
|---|---|
| Author(s) | Kathryn Baragwanath Vogel, Ran Goldblatt, Gordon H. Hanson, Amit K. Khandelwal |
| Last Updated | February 11, 2021, 21:54 (UTC) |
| Created | December 8, 2020, 00:12 (UTC) |
| Stable Link | https://www.nber.org/papers/w24796.pdf |
| Date | 2019-06-25 |
| Publishing Body | Journal of Urban Economics (2019): 103173 |
| Content Type | Publications |
| Primary Category | Demographics & Socioeconomics |
| Sub Category | Socioeconomics |
| Country Name | India |
| Location Latitude | 20.5937 |
| Location Longitude | 78.9629 |
| Publishing Organization | New Light Technologies |