Mapping Gridded Gross Domestic Product Distribution of China Using Deep Learning With Multiple Geospatial Big Data-Reference-Cited by-同舟云学术

Mapping Gridded Gross Domestic Product Distribution of China Using Deep Learning With Multiple Geospatial Big Data

Published:2022 Issue: Volume:15 Page:1791-1802
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Chen Yuehong¹^ORCID,Wu Guohao¹,Ge Yong²,Xu Zekun¹

Affiliation:

1. College of Hydrology and Water Resources, Hohai University, Nanjing, China

2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09705561.pdf?arnumber=9705561

Reference34 articles.

1. Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019