首页 >  2022, Vol. 26, Issue (6) : 1236-1246

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DOI:

10.11834/jrs.20210295

收稿日期:

2020-07-22

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珞珈一号夜间灯光数据的福建省人为热通量估算
林中立1,徐涵秋2,3,林从华1
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
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(NTLnor、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。

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

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 (NTLnor), 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.

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