Sensitivity analysis of the training set to the performance of the machine learning-based land surface temperature reconstruction for cloud covered pixels

Technologies and Methodologies | Views:1130Downloads:2491CSCD:5

Sensitivity analysis of the training set to the performance of the machine learning-based land surface temperature reconstruction for cloud covered pixels
- role：First author第一作者
- Affiliation：
  School of Energy and Power Engineering, Xihua University, Chengdu 610039, China
  Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
- Email：m18833028159@163.com
- Introduction：何坤龙，1995年生，男，硕士研究生，研究方向为遥感水文水资源。E-mail： m18833028159@163.com
HE Kunlong
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
- Email：zhaow@imde.ac.cn
- Introduction：赵伟，1984年生，男，青年研究员，研究方向为山地地表水热过程遥感。E-mail： zhaow@imde.ac.cn
ZHAO Wei
2 * ,
- Affiliation：
  School of Energy and Power Engineering, Xihua University, Chengdu 610039, China
LIU Xiaohui
1 * ,
- Affiliation：
  School of Environment and Resources, Southwest University of Science and Technology, Mianyang 621010, China
LIU Jiao
3 *
Vol. 25, Issue 8, Pages: 1722-1734(2021)
DOI：10.11834/jrs.20211236
Accepted：

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