Estimating Socio-Economic Parameters via Machine Learning Methods Using Luojia1-01 Nighttime Light Remotely Sensed Images at Multiple Scales of China in 2018

Estimating Socio-Economic Parameters via Machine Learning Methods Using Luojia1-01 Nighttime Light Remotely Sensed Images at Multiple Scales of China in 2018

Mapping socio-economic indicators with a raster format is still a great challenge. The nighttime light (NTL) datasets have been widely utilized to estimate the socio-economic parameters. However, the precision of the published datasets was too coarse to meet related issues such as flood losses asses...

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Bibliographic Details
Main Authors: Bin Guo, Yi Bian, Dingming Zhang, Yi Su, Xiaoxia Wang, Bo Zhang, Yan Wang, Qiuji Chen, Yarui Wu, Pingping Luo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Luojia1-01
NPP/VIIRS
socio-economic parameters
GWR
machine learning
multiple scales
Online Access:https://ieeexplore.ieee.org/document/9355157/

Internet

https://ieeexplore.ieee.org/document/9355157/

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