夜间灯光数据是估算人为热通量（AHF）的重要数据，但当前应用最广的DMSP/OLS和Suomi-NPP/VIIRS夜间灯光数据由于受限于粗糙的空间分辨率，而无法刻画城市内部的AHF分布细节。中国2018年6月发射的Luojia 1-01卫星所获取的130 m高空间分辨率夜间灯光数据，则有望解决这一问题。因此本文利用Luojia 1-01夜间灯光数据，通过将统计年鉴中的能源统计数据细化至福建省84个县（市、区），然后与3个夜间灯光指数（NTL_nor、HSI、VANUI）进行回归分析，分别构建了基于这3个指数的福建省AHF空间估算模型，并采用交叉验证法对其进行筛选。结果显示：（1）在3个指数中，基于VANUI的乘幂估算模型的R²最高，且RMSE最小，因此精度最高；（2）利用VANUI乘幂估算模型反演得到的2018年福建省年均AHF为0.88 W/m²，其中厦门市的年均AHF最高，达10.98 W/m²，泉州、莆田、福州、漳州等沿海城市次之，年均值在0.98—1.95 W/m²，而宁德、龙岩、三明、南平等城市的AHF则较低，均值在0.38—0.46 W/m²；（3）Luojia 1-01夜间灯光数据可以揭示城市内部的AHF分异细节。根据用地属性和功能的不同，AHF数值表现为：城市集中商业区>大型市政公共设施区>城市主干道>城市住宅区>近郊住宅区。研究表明，基于Luojia 1-01夜间灯光数据建立的AHF估算模型可以较好地揭示城市尺度AHF的空间分异情况。

Nighttime light (NTL) data are important for estimating Anthropogenic Heat Flux (AHF). However, the commonly used DMSP/OLS and Suomi-NPP/VIIRS NTL data are restricted by their coarse spatial resolution and therefore, cannot exhibit the spatial details of AHF at city scale.The 130 m high-resolution NTL data obtained by the Luojia 1-01 satellite launched in June 2018 show potential to solve this problem. Therefore, this study aims to construct an AHF estimation model using the NTL data of Luojia 1-01 for Fujian Province based on three indexes, namely, normalized nighttime light data (NTL_nor), Human Settlement Index (HSI), and Vegetation Adjusted NTL Urban Index (VANUI).To determine the best estimation model of AHF, the AHF of 84 county-level cities of Fujian Province has also been calculated using energy-consumption statistics data and then correlated with the corresponding data of three indexes.Results show that (1) based on a five-fold cross validation approach, VANUI power estimation model achieves the highest R² along with the smallest RMSE; therefore, it has the highest accuracy among the three indexes; (2) according to the VANUI power estimation model, the average annual AHF of Fujian Province in 2018 is 0.88 W/m², of which Xiamen has the highest average annual AHF of 10.98 W/m², followed by Quanzhou, Putian, Fuzhou, and Zhangzhou, with the annual average of 0.98—1.95 W/m², whereas the figures of Ningde, Longyan, Sanming, and Nanping are relatively low, ranging from 0.38—0.46 W/m²; (3) Luojia 1-01 NTL data can reveal the AHF differentiation details at a city scale. The AHF values of different land properties and functions show the following order: urban commercial area > large municipal public facility area > urban main road > urban residential area > suburban residential area.Studies have shown that the AHF estimation model developed by Luojia 1-01 NTL data can achieve high accuracy of the city-scale estimation of AHF.