Spatial Downscaling of Lunar Surface Temperature Based on Geographically Weighted Regression-Reference-Cited by-同舟云学术

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Spatial Downscaling of Lunar Surface Temperature Based on Geographically Weighted Regression

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Yang Xiaojie¹^ORCID,Zhou Ji¹^ORCID,Zhang Jirong²,Chen Baichao²,Li Mingsong³^ORCID,Tang Wenbin¹

Affiliation:

1. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China

2. Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing, China

3. Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Chengdu, China

Funder

Outstanding Youth Fund of Sichuan Province

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10177755.pdf?arnumber=10177755

Reference18 articles.

1. Lunar surface roughness based on multiscale morphological method

2. The Lunar Reconnaissance Orbiter Diviner Lunar Radiometer Experiment

3. Spatial Downscaling of MODIS Land Surface Temperatures Using Geographically Weighted Regression: Case Study in Northern China

4. Quantification of the Scale Effect in Downscaling Remotely Sensed Land Surface Temperature

5. Global comparison of diverse scaling factors and regression models for downscaling Landsat-8 thermal data

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