区域夜灯光数据

区域夜灯光数据库利用空间分辨率约500米，重返周期为1天的遥感卫星图像反演出夜灯光。该数据库基于高频卫星遥感图像与高精度公司电子围栏，结合地理空间信息处理技术，通过云计算平台自动获取公司夜灯光数据。区域的经济发展水平与夜间灯光亮度高度相关，夜灯光亮度变化可以反映人类活动的活跃程度。夜灯光亮度广泛应用于观察大型产业集聚区、工业园区和城市辖区的发展状况。团队通过云计算技术和自主算法解译百万量级卫星图像，本数据集包括世界主要城市（包含中国336个地级市）的日度、月度、季度和年度夜灯光数据。

The Regional Nighttime Light Database derives nighttime light data through inversion of remote sensing satellite images with a spatial resolution of approximately 500 meters and a revisit cycle of 1 day. Built on high-frequency remote sensing satellite images and high-precision corporate geofences, this database integrates geospatial information processing technologies to automatically acquire corporate nighttime light data via cloud computing platforms. There is a robust correlation between regional economic development levels and nighttime light brightness, and variations in such brightness can reflect the intensity of human activities. Nighttime light brightness is widely used to monitor the development of large industrial clusters, industrial parks and urban administrative regions. The research team interpreted millions of satellite images using cloud computing technologies and self-developed algorithms. This dataset covers nighttime light data of major cities worldwide, including 336 prefecture-level cities in China, at daily, monthly, quarterly and annual temporal scales.