Yi Zhang

Orcid: 0000-0001-5907-2584

Affiliations:
  • University of Maryland, Department of Geographical Sciences, College Park, MD, USA
  • Beijing Normal University, College of Global Change and Earth System Science, China (former)


According to our database1, Yi Zhang authored at least 9 papers between 2014 and 2022.

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

Timeline

Legend:

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Links

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Bibliography

2022
Estimation of Land Surface Incident Shortwave Radiation From Geostationary Advanced Himawari Imager and Advanced Baseline Imager Observations Using an Optimization Method.
IEEE Trans. Geosci. Remote. Sens., 2022

Estimation of Land Surface Downward Shortwave Radiation Using Spectral-Based Convolutional Neural Network Methods: A Case Study From the Visible Infrared Imaging Radiometer Suite Images.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
An Optimization Approach for Estimating Multiple Land Surface and Atmospheric Variables From the Geostationary Advanced Himawari Imager Top-of-Atmosphere Observations.
IEEE Trans. Geosci. Remote. Sens., 2021

2020
Estimation of Land Surface Incident and Net Shortwave Radiation from Visible Infrared Imaging Radiometer Suite (VIIRS) Using an Optimization Method.
Remote. Sens., 2020

A New Set of MODIS Land Products (MCD18): Downward Shortwave Radiation and Photosynthetically Active Radiation.
Remote. Sens., 2020

2019
Developing Land Surface Directional Reflectance and Albedo Products from Geostationary GOES-R and Himawari Data: Theoretical Basis, Operational Implementation, and Validation.
Remote. Sens., 2019

2017
Devalopping hourly surface albedo product for GOES-R ABI.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Estimation of all-sky instantaneous photosynthetically active radiation from visible infrared imaging radiometer suite data using optimization method.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

2014
Surface Daytime Net Radiation Estimation Using Artificial Neural Networks.
Remote. Sens., 2014


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