Chunlin Jin

Orcid: 0000-0002-6469-7017

According to our database1, Chunlin Jin authored at least 24 papers between 2016 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Estimation of PM2.5 and PM10 Mass Concentrations in Beijing Using Gaofen-1 Data at 100 m Resolution.
Remote. Sens., February, 2024

2023
An Improved Geographically and Temporally Weighted Regression for Surface Ozone Estimation From Satellite-Based Precursor Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Improved Accuracy of XCO2 Retrieval Based on OCO-2 Rtretrieval Framework Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Evaluation of Atmospheric Pollution and Estimation of Remaining Atmospheric Environmental Capacity in Xuzhou City.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Precursors and AOD Based Estimates the Mass Concentration of Ozone on Land.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Estimation of Hourly PM2.5 Mass Concentration from Geostationary Satellite Aerosol Optical Depth Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Observing Anthropogenic CO2 Emissions with TanSat in Northeast China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Retrieval of Aerosol Single Scattering Albedo Over Land Using Geostationary Satellite Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Monitoring of Xch4 Changes and Anomaly in Hebei Province, China Based on Tropomi.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Retrieval and validation of long-term aerosol optical depth from AVHRR data over China.
Int. J. Digit. Earth, December, 2022

A Simple Band Ratio Library (BRL) Algorithm for Retrieval of Hourly Aerosol Optical Depth Using FY-4A AGRI Geostationary Satellite Data.
Remote. Sens., 2022

Optimal Assignment Strategy for Dynamic Workflow of Remote Sensing Big Data Processing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Estimation of Surface-Level Ozone Mass Concentration Using Tropomi Data and Source-Sink Analysis Over China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Estimation of PM2.5 and PM10 Mass Concentrations in Mining City Cluster from Gaofen-L Aerosol Optical Depth data and Chemical Transport Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

The Fusion Algorithm of XCO2 Products: Applied to GOSAT.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Aerosol Single Scattering Albedo Estimated Across East Asia from Advanced Himawari Image Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Estimation of the PM2.5 and PM10 Mass Concentration over Land from FY-4A Aerosol Optical Depth Data.
Remote. Sens., 2021

Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization.
Remote. Sens., 2021

Atmospheric Environmental Capacity Calculation Using Multisource Remote Sensing Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

FY-4A AOD Based Estimates the Mass Concentration of PM2.5 and PM10 on Land.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Retrieval and Validation of Long-Term Aerosol Optical Depth from AVHRR Over China Mainland.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Retrieval of Aerosol Optical Depth Over Land Using Fy-4Aagri Geostationary Satellite Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Retrieval of High Resolution Aerosol Optical Depth by Synergetic Use of GF-1 WFV and Aqua Modis Data Over Land.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2016
SACRB-MAC: A High-Capacity MAC Protocol for Cognitive Radio Sensor Networks in Smart Grid.
Sensors, 2016


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