Jing Wei

Orcid: 0000-0002-8803-7056

Affiliations:
  • Beijing Normal University, College of Global Change and Earth System Science, China
  • University of Maryland, Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, MD, USA
  • University of Iowa, Department of Chemical and Biochemical Engineering, Iowa Technology Institute, IA, USA (2021-2022)
  • Beijing Normal University, China (PhD 2020)
  • Tsinghua University, China (2017-2018)
  • Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong (2017)
  • Shandong University of Science of Technology, Geomatics College, Qingdao, China (former)


According to our database1, Jing Wei authored at least 27 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
An Editorial for the Special Issue "Aerosol and Atmospheric Correction".
Remote. Sens., October, 2024

2023
Insighting Drivers of Population Exposure to Ambient Ozone (O3) Concentrations across China Using a Spatiotemporal Causal Inference Method.
Remote. Sens., October, 2023

How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning?
Remote. Sens., August, 2023

Convolutional Neural Network-Driven Improvements in Global Cloud Detection for Landsat 8 and Transfer Learning on Sentinel-2 Imagery.
Remote. Sens., March, 2023

2022
Extending the EOS Long-Term PM<sub>2.5</sub> Data Records Since 2013 in China: Application to the VIIRS Deep Blue Aerosol Products.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models.
IEEE Trans. Geosci. Remote. Sens., 2021

Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue Aerosol Product in China: A Spatiotemporally Weighted Random Forest Model.
Remote. Sens., 2021

Retrieving High-Resolution Aerosol Optical Depth from GF-4 PMS Imagery in Eastern China.
Remote. Sens., 2021

Identifying Surface Urban Heat Island Drivers and Their Spatial Heterogeneity in China's 281 Cities: An Empirical Study Based on Multiscale Geographically Weighted Regression.
Remote. Sens., 2021

Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta Using Machine Learning and Big Data.
Remote. Sens., 2021

2020
Mapping Rice Paddy Based on Machine Learning with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability.
Remote. Sens., 2020

The Urban-Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China.
Remote. Sens., 2020

A detailed comparison of MYD11 and MYD21 land surface temperature products in mainland China.
Int. J. Digit. Earth, 2020

Satellite-Based High-Spatial-Resolution and High-Quality Fine Particulate Matters Across China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Enhanced Aerosol Estimations From Suomi-NPP VIIRS Images Over Heterogeneous Surfaces.
IEEE Trans. Geosci. Remote. Sens., 2019

A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China.
IEEE Trans. Geosci. Remote. Sens., 2019

2018
A New Cloud Detection Method Supported by GlobeLand30 Data Set.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China.
Remote. Sens., 2018

Performance of the NPP-VIIRS and aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin.
Remote. Sens., 2018

Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces.
Remote. Sens., 2018

A Priori Surface Reflectance-Based Cloud Shadow Detection Algorithm for Landsat 8 OLI.
IEEE Geosci. Remote. Sens. Lett., 2018

2017
Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Detection and validation of dust storm from NPP VIIRS.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

A comparison of the cloud detection results between the UDTCDA mask and MOD35 cloud products.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images.
Remote. Sens., 2016

Dynamic threshold cloud detection algorithms for MODIS and Landsat 8 data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A high-resolution global dataset of aerosol optical depth over land from MODIS data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


  Loading...