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Jing Wei 0001
Person information
- affiliation: Beijing Normal University, College of Global Change and Earth System Science, China
- affiliation: University of Maryland, Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, MD, USA
- affiliation (2021-2022): University of Iowa, Department of Chemical and Biochemical Engineering, Iowa Technology Institute, IA, USA
- affiliation (PhD 2020): Beijing Normal University, China
- affiliation (2017-2018): Tsinghua University, China
- affiliation (2017): Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong
- affiliation (former): Shandong University of Science of Technology, Geomatics College, Qingdao, China
Other persons with the same name
- Jing Wei — disambiguation page
- Jing Wei 0002
— University of Melbourne, Australia (and 2 more)
- Jing Wei 0003
- Jing Wei 0004
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2020 – today
- 2024
- [j22]Shuaiyi Shi
An Editorial for the Special Issue "Aerosol and Atmospheric Correction". Remote. Sens. 16(19): 3745 (2024) - 2023
- [j21]Shulin Pang
Convolutional Neural Network-Driven Improvements in Global Cloud Detection for Landsat 8 and Transfer Learning on Sentinel-2 Imagery. Remote. Sens. 15(6): 1706 (2023) - [j20]Zhongyan Tian, Jing Wei
How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning? Remote. Sens. 15(15): 3780 (2023) - [j19]Junming Li, Jing Xue, Jing Wei, Zhoupeng Ren, Yiming Yu, Huize An, Xingyan Yang, Yixue Yang:
Insighting Drivers of Population Exposure to Ambient Ozone (O3) Concentrations across China Using a Spatiotemporal Causal Inference Method. Remote. Sens. 15(19): 4871 (2023) - 2022
- [j18]Jing Wei
Extending the EOS Long-Term PM2.5 Data Records Since 2013 in China: Application to the VIIRS Deep Blue Aerosol Products. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - 2021
- [j17]Wenhao Xue
Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue Aerosol Product in China: A Spatiotemporally Weighted Random Forest Model. Remote. Sens. 13(3): 505 (2021) - [j16]Debin Lu, Wanliu Mao, Lilin Zheng, Wu Xiao, Liang Zhang, Jing Wei
Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta Using Machine Learning and Big Data. Remote. Sens. 13(8): 1423 (2021) - [j15]Zhendong Sun, Jing Wei
Retrieving High-Resolution Aerosol Optical Depth from GF-4 PMS Imagery in Eastern China. Remote. Sens. 13(18): 3752 (2021) - [j14]Lu Niu
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. 13(21): 4428 (2021) - [j13]Xinpeng Tian
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. 59(12): 9851-9860 (2021) - 2020
- [j12]Rui Yao, Lunche Wang
A detailed comparison of MYD11 and MYD21 land surface temperature products in mainland China. Int. J. Digit. Earth 13(12): 1391-1407 (2020) - [j11]Weichun Zhang, Hongbin Liu, Wei Wu, Linqing Zhan, Jing Wei
Mapping Rice Paddy Based on Machine Learning with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability. Remote. Sens. 12(10): 1620 (2020) - [j10]Wenchao Han, Zhanqing Li
The Urban-Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China. Remote. Sens. 12(14): 2320 (2020) - [c5]Jing Wei
Satellite-Based High-Spatial-Resolution and High-Quality Fine Particulate Matters Across China. IGARSS 2020: 5558-5561
2010 – 2019
- 2019
- [j9]Jing Wei
A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China. IEEE Trans. Geosci. Remote. Sens. 57(7): 4748-4757 (2019) - [j8]Jing Wei
Enhanced Aerosol Estimations From Suomi-NPP VIIRS Images Over Heterogeneous Surfaces. IEEE Trans. Geosci. Remote. Sens. 57(12): 9534-9543 (2019) - 2018
- [j7]Lin Sun, Quan Wang
A Priori Surface Reflectance-Based Cloud Shadow Detection Algorithm for Landsat 8 OLI. IEEE Geosci. Remote. Sens. Lett. 15(10): 1610-1614 (2018) - [j6]Lijie He
Performance of the NPP-VIIRS and aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote. Sens. 10(1): 117 (2018) - [j5]Muhammad Bilal
Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote. Sens. 10(3): 475 (2018) - [j4]Xinpeng Tian
Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China. Remote. Sens. 10(12): 2021 (2018) - [j3]Lin Sun, Xueying Zhou
A New Cloud Detection Method Supported by GlobeLand30 Data Set. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(10): 3628-3645 (2018) - 2017
- [j2]Jing Wei
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. 10(3): 835-844 (2017) - [c4]Lin Sun, Xueying Zhou
A comparison of the cloud detection results between the UDTCDA mask and MOD35 cloud products. IGARSS 2017: 25-28 - [c3]Yikun Yang, Lin Sun, Jinshan Zhu, Renli Wang, Qinghua Su, Jing Wei
Detection and validation of dust storm from NPP VIIRS. IGARSS 2017: 4810-4812 - 2016
- [j1]Lin Sun, Jing Wei
Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images. Remote. Sens. 8(1): 23 (2016) - [c2]Jing Wei
Dynamic threshold cloud detection algorithms for MODIS and Landsat 8 data. IGARSS 2016: 566-569 - [c1]Lin Sun, Jing Wei
A high-resolution global dataset of aerosol optical depth over land from MODIS data. IGARSS 2016: 5729-5732
Coauthor Index
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last updated on 2024-11-11 21:32 CET by the dblp team
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