A Spatial Downscaling Approach for Land Surface Temperature by Considering Descriptor Weight-Reference-Cited by-同舟云学术

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A Spatial Downscaling Approach for Land Surface Temperature by Considering Descriptor Weight

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:

Ding Lirong¹^ORCID,Zhou Ji¹^ORCID,Ma Jin¹^ORCID,Zhu Xinming²^ORCID,Wang Wei¹^ORCID,Li Mingsong³^ORCID

Affiliation:

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

2. College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing, China

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

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of China, University of Electronic Science and Technology of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10065482.pdf?arnumber=10065482

Reference19 articles.

1. Spatial Downscaling of MODIS Land Surface Temperature Based on Geographically Weighted Autoregressive Model

2. A Geographically and Temporally Weighted Regression Model for Spatial Downscaling of MODIS Land Surface Temperatures Over Urban Heterogeneous Regions

3. Downscaling Land Surface Temperatures Using a Random Forest Regression Model With Multitype Predictor Variables

4. A Framework for Generating High Spatiotemporal Resolution Land Surface Temperature in Heterogeneous Areas

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

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1. Spatial Downscaling of Lunar Surface Temperature Based on Geographically Weighted Regression;IEEE Geoscience and Remote Sensing Letters;2023

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