珞珈一号夜间灯光数据的福建省人为热通量估算  

Estimation of anthropogenic heat flux of Fujian Province(China)based on Luojia 1-01 nighttime light data

作　　者：林中立 徐涵秋[2,3] 林从华 LIN Zhongli;XU Hanqiu;LIN Conghua(College of Architecture and Urban Planning,Fujian University of Technology,Fuzhou 350118,China;Ministry of Education Key Laboratory of Spatial Data Mining&Information Sharing,College of Environmental and Safety Engineering,Fuzhou University,Fuzhou 350116,China;Fujian Provincial Key Laboratory of Remote Sensing Soil Erosion and Disaster Prevention,Institute of Remote Sensing Information Engineering,Fuzhou University,Fuzhou 350116,China)

机构地区：[1]福建工程学院建筑与城乡规划学院,福州350118 [2]福州大学,环境与安全工程学院,空间数据挖掘与信息共享教育部重点实验室,福州350116 [3]福州大学遥感信息工程研究所,福建省水土流失遥感监测评估与灾害防治重点实验室,福州350116

出　　处：《遥感学报》2022年第6期1236-1246,共11页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:31971639);福建省自然科学基金(编号:2020J05193);福建省教育厅中青年教师教育科研项目(编号:JAT190403);福建工程学院本科教学改革研究项目(编号:2022JG021)。

摘　　要：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R^(2)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/m^(2),其中厦门市的年均AHF最高,达10.98 W/m^(2),泉州、莆田、福州、漳州等沿海城市次之,年均值在0.98—1.95 W/m^(2),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/m^(2);(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/m^(2),of which Xiamen has the highest average annual AHF of 10.98 W/m^(2),followed by Quanzhou,Putian,Fuzhou,and Zhangzhou,with the annual average of 0.98—1.95 W/m^(2),whereas the figures of Ningde,Longyan,Sanming,and Nanping are relatively low,ranging from 0.38—0.46 W/m^(2);(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.

关 键 词：遥感 人为热 AHF 珞珈一号01星 夜间灯光影像 福建省 

分 类 号：X16[环境科学与工程—环境科学]