A Machine Learning-Based Method for Downscaling All-Sky Downward Surface Shortwave Radiation Over Complex Terrain-Reference-Cited by-同舟云学术

A Machine Learning-Based Method for Downscaling All-Sky Downward Surface Shortwave Radiation Over Complex Terrain

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:

Lang Qin¹^ORCID,Zhao Wei²^ORCID,Ma Mingguo¹^ORCID,Wang Wei³^ORCID

Affiliation:

1. Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, China

2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China

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

Funder

National Natural Science Foundation of China projects

National Major Projects on High-Resolution Earth Observation System

Sichuan Science and Technology Program

Graduate Scientific Research and Innovation Foundation of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/09980455.pdf?arnumber=9980455

Reference17 articles.

1. DSRC: An Improved Topographic Correction Method for Optical Remote-Sensing Observations Based on Surface Downwelling Shortwave Radiation

2. Spatial Downscaling of MSG Downward Shortwave Radiation Product Under Clear-Sky Condition

3. Estimating global downward shortwave radiation from VIIRS data using a transfer-learning neural network

4. A physical downscaling algorithm for the generation of high-resolution spatiotemporal solar irradiance data

5. Downscaling solar irradiance using DEM-based model in young volcanic islands with rugged topography

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