Xin Jing

Orcid: 0000-0002-3425-3968

Affiliations:
  • University of Maryland, Department of Astronomy, Earth System Science Interdisciplinary Research Center, College Park, MD, USA
  • South Dakota State University, College of Engineering, Image Processing Laboratory, Brookings, SD, USA
  • Peking University, School of Earth & Space Sciences, Beijing, China


According to our database1, Xin Jing authored at least 12 papers between 2013 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Evaluation of VIIRS Thermal Emissive Bands Long-Term Calibration Stability and Inter-Sensor Consistency Using Radiative Transfer Modeling.
Remote. Sens., April, 2024

2023
Using the Commercial GNSS RO Spire Data in the Neutral Atmosphere for Climate and Weather Prediction Studies.
Remote. Sens., October, 2023

Spire RO Thermal Profiles for Climate Studies: Initial Comparisons of the Measurements from Spire, NOAA-20 ATMS, Radiosonde, and COSMIC-2.
Remote. Sens., August, 2023

2022
Evaluation of SNPP and NOAA-20 VIIRS Datasets Using RadCalNet and Landsat 8/OLI Data.
Remote. Sens., 2022

Processing and Validation of the STAR COSMIC-2 Temperature and Water Vapor Profiles in the Neutral Atmosphere.
Remote. Sens., 2022

2020
Evaluation Analysis of Landsat Level-1 and Level-2 Data Products Using In Situ Measurements.
Remote. Sens., 2020

2019
Lifetime Absolute Calibration of the EO-1 Hyperion Sensor and its Validation.
IEEE Trans. Geosci. Remote. Sens., 2019

Evaluation of RadCalNet Output Data Using Landsat 7, Landsat 8, Sentinel 2A, and Sentinel 2B Sensors.
Remote. Sens., 2019

Methods for Earth-Observing Satellite Surface Reflectance Validation.
Remote. Sens., 2019

2016
Comparison between the Suomi-NPP Day-Night Band and DMSP-OLS for Correlating Socio-Economic Variables at the Provincial Level in China.
Remote. Sens., 2016

2015
Uncertainty Evaluation of an In-Flight Absolute Radiometric Calibration Using a Statistical Monte Carlo Method.
IEEE Trans. Geosci. Remote. Sens., 2015

2013
A novel method of destriping for airborne hyperspectral image.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013


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