基于NPP-VIIRS和Landsat 8数据的武汉建成区疫情复工复产监测

Yin Zhang, Qingwu Hu, Xi Li
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引用次数: 0

摘要

2020年初,中国湖北省武汉市爆发了2019冠状病毒病(COVID-19)疫情。随着疫情得到有效控制,各企业逐步复工复产。遥感的优势在于可以在短时间内获得大范围的数据,有利于对地表变化的动态监测。因此,利用遥感技术监测武汉建成区复工复产情况,对经济社会发展具有重要意义。基于NPP-VIIRS和Landsat 8数据,提出了基于植被和建筑调整的NTL城市指数(VBANUI)。VBANUI的提取精度为5.1%,优于传统方法(基于night Light (NTL)的9.4%和基于Vegetation Adjusted NTL Urban Index (VANUI)的6.5%)。2020年4 - 6月武汉市建成区夜间光强平均值和高夜间光强占比均大于1 - 3月,分别增加2.8 nW/cm2/sr和2.6%。总体来看,武汉市建成区夜间灯光强度随着复工复产逐渐增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring Resumption of Work and Production in Wuhan Built-up Area During COVID-19 Based on NPP-VIIRS and Landsat 8 Data
At the beginning of 2020, an outbreak of the Corona Virus Disease 2019 (COVID-19) broke out in Wuhan, Hubei Province, China. With the effective control of the epidemic, all enterprises gradually resumed work and production. The advantage of remote sensing is that it can obtain a large range of data in a short time, which is conducive to the dynamic monitoring of land surface changes. Therefore, using remote sensing technology to monitor the resumption of work and production in Wuhan built-up area is of great significance to economic and social development. This study presented a Vegetation and Building Adjusted NTL Urban Index (VBANUI) based on NPP-VIIRS and Landsat 8 data to extract the built-up of Wuhan. The extraction accuracy of VBANUI was 5.1%, which was better than the traditional method (based on Nighttime Light (NTL): 9.4% and based on Vegetation Adjusted NTL Urban Index (VANUI): 6.5%). The average value of nighttime light intensity and the proportion of high nighttime light intensity in Wuhan built-up areas from April to June were larger than those from January to March in 2020, increasing by 2.8 nW/cm2/sr and 2.6%, respectively. In general, the nighttime light intensity in the built-up area of Wuhan increased gradually with the resumption of work and production.
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