Can features extracted from high spatial resolution satellite imagery accurately estimate poverty and economic well-being? This paper investigates this question by extracting object and texture features from satellite images of Sri Lanka, which are used to estimate poverty rates and average log consumption for 1,291 administrative units (Grama Niladhari divisions). The features that were extracted include the number and density of buildings, prevalence...
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ПОДРОБНАЯ ИНФОРМАЦИЯ
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2017/12/01
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Рабочие документы (нумерованная серия)
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125617
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1
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1
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2018/04/24
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Disclosed
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Poverty from space : using high-resolution satellite imagery for estimating economic well-being
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per capita consumption
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