Detecting urban markets with satellite imagery: An application to India

被引：22

作者：

Baragwanath, Kathryn ^{[1
]}

Goldblatt, Ran ^{[2
]}

Hanson, Gordon ^{[1
,3
]}

Khandelwal, Amit K. ^{[3
,4
]}

机构：

[1] UCSD, La Jolla, CA 92093 USA

[2] New Light Technol, Huntington Beach, CA USA

[3] NBER, Cambridge, MA 02138 USA

[4] Columbia GSB, Columbia, MO USA

来源：

JOURNAL OF URBAN ECONOMICS | 2021年 / 125卷

关键词：

Satellite; Landsat; Nightlight data; Market access; Cities; Urbanization; NIGHTTIME LIGHTS; GROWTH; CITIES; INSTITUTIONS; CALIBRATION; POPULATION; DYNAMICS; LANDSAT; EXTENT; TRADE;

D O I：

10.1016/j.jue.2019.05.004

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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 study of urban forms.

引用

页数：19

共 63 条

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