Jing Nie

Orcid: 0000-0002-0693-1098

Affiliations:
  • Peking University, Beijing, China


According to our database1, Jing Nie authored at least 10 papers between 2019 and 2022.

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

Timeline

2019
2020
2021
2022
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3
4
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3
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2022
Retrieval of Land Surface Temperature, Emissivity, and Atmospheric Parameters From Hyperspectral Thermal Infrared Image Using a Feature-Band Linear-Format Hybrid Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2022

Simultaneous Estimation of Land Surface and Atmospheric Parameters From Thermal Hyperspectral Data Using a LSTM-CNN Combined Deep Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Land Surface Temperature and Emissivity Retrieval from Nighttime Middle and Thermal Infrared Images of Chinese Fengyun-3D MERSI-II.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Land Surface Temperature and Emissivity Retrieval From Nighttime Middle-Infrared and Thermal-Infrared Sentinel-3 Images.
IEEE Geosci. Remote. Sens. Lett., 2021

Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs.
Int. J. Digit. Earth, 2020

Aerosol Optical Depth Estimate Using Ground-Measured Spectral Skylight Ratio Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Land Surface Temperature Retrieval from Sentinel-3A Sea and Land Surface Temperature Radiometer, Using a Split-Window Algorithm.
Remote. Sens., 2019

Identify Urban Area From Remote Sensing Image Using Deep Learning Method.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A New Index for Sandy Land Detection Based On Thermal Infrared Emissivity Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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