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Lu She
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2020 – today
- 2022
- [j16]Lu She
, Hankui K. Zhang
A Deep-Neural-Network-Based Aerosol Optical Depth (AOD) Retrieval from Landsat-8 Top of Atmosphere Data. Remote. Sens. 14(6): 1411 (2022) - [j15]Haonan Ding, Limin Zhao, Shanwei Liu, Xingfeng Chen
FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG. Remote. Sens. 14(21): 5591 (2022) - [j14]Tianhao Zhang
A Geometry-Discrete Minimum Reflectance Aerosol Retrieval Algorithm (GeoMRA) for Geostationary Meteorological Satellite Over Heterogeneous Surfaces. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2020
- [j13]Yong Xue
Hourly PM2.5 Estimation over Central and Eastern China Based on Himawari-8 Data. Remote. Sens. 12(5): 855 (2020) - [j12]Lu She
Himawari-8 Aerosol Optical Depth (AOD) Retrieval Using a Deep Neural Network Trained Using AERONET Observations. Remote. Sens. 12(24): 4125 (2020) - [j11]Yanqing Xie
Deriving a Global and Hourly Data Set of Aerosol Optical Depth Over Land Using Data From Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8. IEEE Trans. Geosci. Remote. Sens. 58(3): 1538-1549 (2020)
2010 – 2019
- 2019
- [j10]Yahui Che
Correction: Yahui, Che et al. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms - Part 1: Global Evaluation. Remote Sensing 2018, 10, 1414. Remote. Sens. 11(5): 568 (2019) - [j9]Lu She, Hankui Zhang
Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm for Himawari-8 Data. Remote. Sens. 11(23): 2771 (2019) - [j8]Lu She
Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data. IEEE Trans. Geosci. Remote. Sens. 57(3): 1489-1501 (2019) - [c11]Ying Li, Yong Xue, Jie Guang, Lu She, Guili Chen, Cheng Fan
Hourly Ground Level PM2.5 Estimation for the Southeast of China Based on Himawari-8 Observation Data. IGARSS 2019: 7850-7853 - 2018
- [j7]Xiaochen Wang
Ocean Wave Information Retrieval Using Simulated Compact Polarized SAR from Radarsat-2. J. Sensors 2018: 1738014:1-1738014:12 (2018) - [j6]Lu She, Yong Xue
Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation. Remote. Sens. 10(4): 490 (2018) - [j5]Yahui Che
Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms - Part 1: Global Evaluation. Remote. Sens. 10(9): 1414 (2018) - [j4]Ying Li, Yong Xue
Ground-Level PM2.5 Concentration Estimation from Satellite Data in the Beijing Area Using a Specific Particle Swarm Extinction Mass Conversion Algorithm. Remote. Sens. 10(12): 1906 (2018) - [j3]Yanqing Xie
Ensemble of ESA/AATSR Aerosol Optical Depth Products Based on the Likelihood Estimate Method With Uncertainties. IEEE Trans. Geosci. Remote. Sens. 56(2): 997-1007 (2018) - 2017
- [j2]Lu She, Linlu Mei, Yong Xue
SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm. Remote. Sens. 9(3): 253 (2017) - [c10]Yanqing Xie, Yong Xue, Jie Guang, Linlu Mei, Cheng Fan
Image fusion of MODIS AOD (collection 6) in China based on uncertainty. IGARSS 2017: 3365-3368 - [c9]Cheng Fan
Moon-based occultation observation for atmospheric phenomena. IGARSS 2017: 4663-4665 - [c8]Ying Li, Yong Xue, Jie Guang, Linlu Mei, Lu She, Cheng Fan
Estimating ground-level PM2.5 concentration in beijing using BP ANN model from satellite data. IGARSS 2017: 4870-4873 - [c7]Lu She, Yong Xue, Jie Guang, Linlu Mei, Yahui Che
Aerosol optical and physical properties over beijing. IGARSS 2017: 5962-5965 - 2016
- [j1]Aojie Di
Dust Aerosol Optical Depth Retrieval and Dust Storm Detection for Xinjiang Region Using Indian National Satellite Observations. Remote. Sens. 8(9): 702 (2016) - [c6]Aojie Di, Yong Xue, Xihua Yang, John Francis Leys, Jie Guang, Linlu Mei, Jingli Wang, Lu She, Xingwei He, Yahui Che
Dust storm detection for Xingjiang region using Indian National Satellite (INSAT 3A) data. IGARSS 2016: 4063-4066 - [c5]Cheng Fan
An atmospheric correction algorithm for FY3/MERSI data over land in China. IGARSS 2016: 4067-4070 - [c4]Jie Guang, Yong Xue, Cheng Fan
Estimate the high-resolution distribution of ground-level particulate matter based on space observations and a physical-based model. IGARSS 2016: 4211-4214 - 2015
- [c3]Yahui Che
The inter-comparison of AATSR aerosol optical depth retrievals from various algorithms. IGARSS 2015: 2230-2233 - 2014
- [c2]Chi Li
Post calibration of channel 1 of NOAA-14 AVHRR: Implications on aerosol optical depth retrieval. IGARSS 2014: 1524-1527 - [c1]Lu She, Yong Xue, Jie Guang, Xingwei He, Chi Li
Quality assurance plan for China collection 2.0 aerosol datasets. IGARSS 2014: 4161-4164
Coauthor Index
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