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Poverty estimation at the county level by combining LuoJia1-01 nighttime light data and points of interest
Geocarto International ( IF 3.8 ) Pub Date : 2021-01-11
Jinyao Lin, Shuyi Luo, Yiqin Huang

Abstract

To reduce poverty, it is important to obtain accurate information on poverty conditions in a timely manner. Previous studies indicated that nighttime light products are helpful for poverty estimation. However, there exist no studies that have investigated the potential of LuoJia1-01, a new-generation nighttime light satellite with a much finer resolution (∼130 m), for analyzing poverty. In addition, nighttime light data may not reflect daytime-only socio-economic activities. To address these problems, our study first compared the performance of LuoJia1-01 and NPP-VIIRS products in poverty estimation. Next, we incorporated point of interest (POI) information so that daytime-only socio-economic activities can be considered. Our experiments indicated that LuoJia1-01 performs slightly better than NPP-VIIRS in terms of poverty estimation at county level. More importantly, we revealed that the combination of POIs and nighttime light products can moderately increase the average estimation accuracies. These findings are expected to support poverty monitoring over large regions for long periods, which cannot be fulfilled by traditional household surveys and census.



中文翻译:

结合罗家1-01夜间光数据和兴趣点进行县级贫困估计

摘要

为了减少贫困,及时获得有关贫困状况的准确信息很重要。先前的研究表明,夜间照明产品有助于贫困评估。但是,目前还没有研究调查分辨率更高(〜130 m)的新一代夜间轻型卫星“洛家1-01”用于分析贫困的潜力。此外,夜间灯光数据可能无法反映仅白天的社会经济活动。为了解决这些问题,我们的研究首先比较了LuoJia1-01和NPP-VIIRS产品在贫困评估中的性能。接下来,我们合并了兴趣点(POI)信息,以便可以考虑仅白天的社会经济活动。我们的实验表明,就县一级的贫困估计而言,罗家1-01的绩效略好于NPP-VIIRS。更重要的是,我们发现POI和夜间照明产品的组合可以适度增加平均估算的准确性。预期这些发现将支持大范围地区的长期贫困监测,而传统的家庭调查和普查无法实现这些监测。

更新日期:2021-01-12
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