A global poverty map derived from satellite data
A global poverty map derived from satellite data
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DOI：
10.1016/j.cageo.2009.01.009
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发表时间：
2009-08-01
影响因子：
4.4
通讯作者：
Bright, Edward
中科院分区：
文献类型：
--
作者：
Elvidge, Christopher D.;Sutton, Paul C.;Bright, Edward
使用通过将人口数（LandScan，2004年）除以卫星观测到的照明亮度（DMSP夜间灯光）计算出的贫困指数，制作了分辨率为30角秒的全球贫困图。LandScan产品的投入包括卫星获取的土地覆盖和地形，以及从高分辨率图像获取的人类住区轮廓。贫困估计数是使用2006年版《世界发展指标》中的国家一级贫困数据进行校准的。生活在贫困中的总人数估计为22亿，略低于世界发展倡议估计的26亿。我们展示了一种新的贫困地图，随着时间的推移，通过纳入新的参考数据来校准贫困估计数，并随着对与经济活动和技术获取有关的人类活动的卫星观测的改进，这种地图应该会有所改进。爱思唯尔有限公司出版
A global poverty map has been produced at 30 arcsec resolution using a poverty index calculated by dividing population count (LandScan 2004) by the brightness of satellite observed lighting (DMSP nighttime lights). Inputs to the LandScan product include satellite-derived land cover and topography, plus human settlement outlines derived from high-resolution imagery. The poverty estimates have been calibrated using national level poverty data from the World Development Indicators (WDI) 2006 edition. The total estimate of the numbers of individuals living in poverty is 2.2 billion, slightly under the WDI estimate of 2.6 billion. We have demonstrated a new class of poverty map that should improve over time through the inclusion of new reference data for calibration of poverty estimates and as improvements are made in the satellite observation of human activities related to economic activity and technology access. Published by Elsevier Ltd.