L
Lin Sun
Researcher at Shandong University of Science and Technology
Publications - 90
Citations - 3040
Lin Sun is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: AERONET & Moderate-resolution imaging spectroradiometer. The author has an hindex of 22, co-authored 81 publications receiving 1497 citations. Previous affiliations of Lin Sun include Chinese Academy of Sciences.
Papers
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Journal ArticleDOI
Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach
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Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
Jing Wei,Jing Wei,Zhanqing Li,Alexei Lyapustin,Lin Sun,Yiran Peng,Wenhao Xue,Tianning Su,Maureen Cribb +8 more
TL;DR: Li et al. as mentioned in this paper proposed a Space-Time Extra-Trees (STET) model to capture the spatiotemporal variations of PM2.5 at different spatial scales.
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Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees
Jing Wei,Jing Wei,Zhanqing Li,Maureen Cribb,Wei Huang,Wenhao Xue,Lin Sun,Jianping Guo,Yiran Peng,Jing Li,Alexei Lyapustin,Lei Liu,Hao Wu,Yimeng Song +13 more
TL;DR: In this paper, the space-time extremely randomized trees (STET) model was enhanced by integrating updated spatiotemporal information and additional auxiliary data to improve the spatial resolution and overall accuracy of PM 2.5 estimates across mainland China.
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MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison
TL;DR: In this article, a cross-comparison and evaluation of these Terra MODIS aerosol products with reference to the enhanced ground-based AOD measurements by the Aerosol Robotic Network (AERONET) Level 3 Version 2.0 data at 384 ground stations was performed.
Journal ArticleDOI
Satellite-Derived 1-km-Resolution PM1 Concentrations from 2014 to 2018 across China.
Jing Wei,Jing Wei,Zhanqing Li,Jianping Guo,Lin Sun,Wei Huang,Wenhao Xue,Tianyi Fan,Maureen Cribb +8 more
TL;DR: A space-time extremely randomized trees (STET) model is first developed to estimate PM1 concentrations at a 1-km spatial resolution from 2014 to 2018 across mainland China and shows superior performance in PM1 estimates relative to previous studies.