Poverty is a complex social problem, and accurate poverty identification is a key step for creating strategies to eliminate poverty. The Luojia 1-01 satellite is part of a new generation of professional nighttime light remote sensing that was successfully launched on July 2, 2018, and has provided 130-m high-resolution nighttime light images for poverty studies. This study aimed to detect the accuracy of multidimensional poverty evaluation using Luojia 1-01 data at the county level. Drawing on a sustainable livelihood framework, the spatial patterns of multidimensional poverty were identified across Hubei province. The results found that there was a good correlation between the nighttime light index and the sustainable livelihoods index, and a second-order linear model had the best goodness of fit with a coefficient of determination of 0.88 and root mean square error of 0.03, indicating a good model performance. Counties affected by multidimensional poverty were mainly distributed in the west, northeast, and southeast of Hubei, and the agreement between the model results and counties identified by the government as impoverished was 73.08%. Due to its high-resolution and rich spatial information, Luojia 1-01 data can be used to efficiently and accurately identify the scale of multidimensional poverty at the county level and provide the relevant government departments with a scientific basis for implementing responsible and holistic poverty alleviation policies.

中文翻译：

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利用骆家1-01夜间灯光影像检测多维贫困

贫困是一个复杂的社会问题，准确识别贫困是制定消除贫困战略的关键步骤。罗家1-01卫星是2018年7月2日成功发射的新一代专业夜间光遥感的一部分，为贫困研究提供了130米高分辨率夜间光图像。本研究旨在利用洛家1-01数据检测县级多维贫困评价的准确性。利用可持续生计框架，确定了湖北省多维贫困的空间格局。结果发现，夜间光照指数与可持续生计指数之间存在良好的相关性，二阶线性模型拟合优度最好，决定系数为0。88，均方根误差为 0.03，表明模型性能良好。多维贫困县主要分布在湖北西部、东北和东南部，模型结果与政府认定的贫困县的一致性为73.08%。骆家1-01数据分辨率高、空间信息丰富，可高效准确识别县级多维贫困规模，为政府相关部门实施负责任的整体扶贫提供科学依据。政策。模型结果与政府认定的贫困县的一致性为73.08%。骆家1-01数据分辨率高、空间信息丰富，可高效准确识别县级多维贫困规模，为政府相关部门实施负责任的整体扶贫提供科学依据。政策。模型结果与政府认定的贫困县的一致性为73.08%。骆家1-01数据分辨率高、空间信息丰富，可高效准确识别县级多维贫困规模，为政府相关部门实施负责任的整体扶贫提供科学依据。政策。