IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | |
Evaluating the Ability of NOAA-20 Monthly Composite Data for Socioeconomic Indicators Estimation and Urban Area Extraction | |
Qiusheng Wu1  Jianping Wu2  Yangguang Li2  Yuchen Hong2  Shaoyang Liu2  Zhichao Song2  Bin Wu2  Bailang Yu2  | |
[1] Department of Geography, University of Tennessee, Knoxville, TN, USA;Key Laboratory of Geographic Information Science (Ministry of Education) and the School of Geographic Sciences, East China Normal University, Shanghai, China; | |
关键词: Electric power consumption (EPC); gross domestic product (GDP); National Oceanic and Atmospheric Administration-20 Satellite (NOAA-20); National Polar Orbit Partnership-visible infrared imaging radiometer suite (NPP-VIIRS); urban area extraction; | |
DOI : 10.1109/JSTARS.2022.3149028 | |
来源: DOAJ |
【 摘 要 】
The new visible infrared imaging radiometer suite (VIIRS) onboard the National Oceanic and Atmospheric Administration-20 satellite (NOAA-20) is capable of imaging the Earth during both daytime and nighttime. The NOAA-20 VIIRS’ day/night band (DNB) enables a new generation of nighttime imaging applications. However, few studies investigated the ability of NOAA-20 DNB nighttime light data in modeling socioeconomic indicators [such as the gross domestic product (GDP) and electric power consumption (EPC)] and extracting urban areas. In this article, we first used a simple linear regression model to investigate the potential of NOAA-20 nighttime light data for estimating GDP and EPC at multiple scales; we then extracted urban areas from NOAA-20 nighttime light data by using support vector machines. Taking mainland China as the study area, we found that the correlation coefficient of determination
【 授权许可】
Unknown