Mapping Gridded Gross Domestic Product Distribution of China Using Deep Learning With Multiple Geospatial Big Data
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The 1-km gridded total GDP data of mainland China in 2019 was generated by a deep learning approach (i.e., GDPnet). The GDPnet was proposed in the paper of "Mapping Gridded Gross Domestic Product Distribution of China Using Deep Learning With Multiple Geospatial Big Data" published in the journal of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.<br>Chen, Y., Wu, G., Ge, Y., & Xu, Z. (2022). Mapping gridded gross domestic product distribution of China using deep learning with multiple geospatial big data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 1791-1802<br>
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figshare创建时间：
2022-03-18
