Ying Li

Affiliations:
  • University of Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
  • Chinese Academy of Sciences, China State Key Laboratory of Digital Earth Science, Beijing, China


According to our database1, Ying Li authored at least 15 papers between 2016 and 2020.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
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., 2020

Hourly PM2.5 Estimation over Central and Eastern China Based on Himawari-8 Data.
Remote. Sens., 2020

The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China.
Remote. Sens., 2020

2019
Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data.
IEEE Trans. Geosci. Remote. Sens., 2019

Correction: Yahui, Che et al. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms - Part 1: Global Evaluation. <i>Remote Sensing</i> 2018, <i>10</i>, 1414.
Remote. Sens., 2019

Hourly Ground Level PM2.5 Estimation for the Southeast of China Based on Himawari-8 Observation Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
A Physically Based PM<sub>2.5</sub> Estimation Method Using AERONET Data in Beijing Area.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Dust Detection and Intensity Estimation Using Himawari-8/AHI Observation.
Remote. Sens., 2018

Ground-Level PM<sub>2.5</sub> Concentration Estimation from Satellite Data in the Beijing Area Using a Specific Particle Swarm Extinction Mass Conversion Algorithm.
Remote. Sens., 2018

2017
Aerosol optical and physical properties over beijing.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Estimating ground-level PM2.5 concentration in beijing using BP ANN model from satellite data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Moon-based occultation observation for atmospheric phenomena.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Retrieval of PM2.5 using ground-based data in beijing area.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Spatial and temporal distribution of aerosol properties in Brazil, China, Australia and Canada during 2000-2012.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Estimate the high-resolution distribution of ground-level particulate matter based on space observations and a physical-based model.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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