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Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants 期刊论文
SPATIAL STATISTICS, 2021, 卷号: 45, 页码: 28
作者:  Li, Lianfa
收藏  |  浏览/下载:40/0  |  提交时间:2021/11/05
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230
作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong
收藏  |  浏览/下载:80/0  |  提交时间:2021/11/05
Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 254, 页码: 22
作者:  Li, Lianfa;  Wu, Jiajie
收藏  |  浏览/下载:27/0  |  提交时间:2021/03/15
Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke 期刊论文
ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 16
作者:  Li, Lianfa;  Girguis, Mariam;  Lurmann, Frederick;  Pavlovic, Nathan;  McClure, Crystal
收藏  |  浏览/下载:122/0  |  提交时间:2021/03/16
Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 18, 页码: 21
作者:  Wang, Chengyi;  Li, Lianfa
收藏  |  浏览/下载:4/0  |  提交时间:2021/03/16
Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 20
作者:  Li, Lianfa
收藏  |  浏览/下载:3/0  |  提交时间:2020/05/19
Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 237, 页码: 17
作者:  Li, Lianfa;  Franklin, Meredith;  Girguis, Mariam;  Lurmann, Frederick;  Wu, Jun
收藏  |  浏览/下载:13/0  |  提交时间:2020/05/19
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27
作者:  Li, Lianfa
收藏  |  浏览/下载:16/0  |  提交时间:2020/05/19
Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 18, 页码: 24
作者:  Li, Lianfa
收藏  |  浏览/下载:3/0  |  提交时间:2020/05/19
Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions 期刊论文
ENVIRONMENT INTERNATIONAL, 2019, 卷号: 128, 页码: 310-323
作者:  Li, Lianfa;  Girguis, Mariam;  Lurmann, Frederick;  Wu, Jun;  Urman, Robert
收藏  |  浏览/下载:53/0  |  提交时间:2019/09/24


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