A PM2.5 prediction model based on deep learning and random forest

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A PM_2.5 prediction model based on deep learning and random forest
- role：First author第一作者
- Affiliation：
  Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China
- Email：penghhjj@qq.com
- Introduction：彭豪杰，研究方向为环境遥感。E-mail： penghhjj@qq.com
PENG Haojie
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China
- Email：zhouyang3d@163.com
- Introduction：周杨，研究方向为遥感测绘、空间数据可视化。E-mail： zhouyang3d@163.com
ZHOU Yang
1 * ,
- Affiliation：
  Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China
HU Xiaofei
1 * ,
- Affiliation：
  Beijing Institute of Remote Sensing Information, Beijing 100192, China
ZHANG Long
2 * ,
- Affiliation：
  Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China
PENG Yangzhao
1 * ,
- Affiliation：
  Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China
CAI Xinyue
1 *
Vol. 27, Issue 2, Pages: 430-440(2023)
DOI：10.11834/jrs.20210504
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MA Xiaoshuang 安徽大学资源与环境工程学院;安徽大学信息材料与智能感知安徽省实验室;安徽大学湿地生态保护与修复安徽省重点实验室

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