Lin Yan

Orcid: 0000-0002-0733-4703

Affiliations:
  • Sun Yat-sen University, Guangzhou, China


According to our database1, Lin Yan authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Urban nighttime aerosol optical depth retrieval methods from SDGSAT-1 glimmer data.
Int. J. Digit. Earth, December, 2024

Derivation of tasseled cap transformation coefficients for SDGSAT-1 Multispectral Imager at-sensor reflectance data.
Int. J. Digit. Earth, December, 2024

Radiometric Calibration of SDGSAT-1 Nighttime Light Payload.
IEEE Trans. Geosci. Remote. Sens., 2024

Radiometric Calibration Analysis for Thermal Infrared Data From MERSI-LL Onboard the Dust-Dawn Orbiting Satellite FY3E.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Enhancing SDGSAT-1 night light images using a panchromatic guidance denoising algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Absolute radiometric calibration evaluation of the thermal infrared spectrometer onboard SDGSAT-1.
Int. J. Digit. Earth, December, 2023

AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area.
Remote. Sens., March, 2023

Absolute Radiometric Calibration of PMS2 Onboard Jilin-1 GP02 Satellite Using the Moon.
IEEE Trans. Geosci. Remote. Sens., 2023

Vicarious Radiometric Calibration of the Multispectral Imager Onboard SDGSAT-1 over the Dunhuang Calibration Site, China.
Remote. Sens., 2023

2022
Vicarious Radiometric Calibration of the AHSI Instrument Onboard ZY1E on Dunhuang Radiometric Calibration Site.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Evaluation of the Radiometric Calibration of FY4A-AGRI Thermal Infrared Data Using Lake Qinghai.
IEEE Trans. Geosci. Remote. Sens., 2021

Radiometric Calibration Evaluation for FY3D MERSI-II Thermal Infrared Channels at Lake Qinghai.
Remote. Sens., 2021

2020
Radiometric Calibration of Fengyun-3D Mersi-II Satellite: A Case Study in Lake Qinghai, China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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