Xiaoning Zhang

Orcid: 0000-0002-1352-5143

Affiliations:
  • Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing, China
  • Beijing Normal University, Institute of Remote Sensing Science and Engineering, China


According to our database1, Xiaoning Zhang authored at least 37 papers between 2015 and 2023.

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

Timeline

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Bibliography

2023
Enhancing Leaf Area Index Estimation with MODIS BRDF Data by Optimizing Directional Observations and Integrating PROSAIL and Ross-Li Models.
Remote. Sens., December, 2023

2022
Reflectance Anisotropy from MODIS for Albedo Retrieval from a Single Directional Reflectance.
Remote. Sens., 2022

Review of Land Surface Albedo: Variance Characteristics, Climate Effect and Management Strategy.
Remote. Sens., 2022

Evaluation of BRDF Information Retrieved from Time-Series Multiangle Data of the Himawari-8 AHI.
Remote. Sens., 2022

Evaluation of the Consistency of the Vegetation Clumping Index Retrieved from Updated MODIS BRDF Data.
Remote. Sens., 2022

Effectiveness of the Reconstructed MODIS Typical-Angle Reflectances on Forest Biomass Estimation.
Remote. Sens., 2022

An Improved Method for Estimating Clumping Index by Digital Hemispheric Photography With Field Measurements.
IEEE Geosci. Remote. Sens. Lett., 2022

Classification and Verification of Surface Anisotropic Reflectance Characteristics.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Assessment of Improved Ross-Li BRDF Models Emphasizing Albedo Estimates at Large Solar Angles Using POLDER Data.
IEEE Trans. Geosci. Remote. Sens., 2021

Retrieval of Leaf Area Index by Linking the PROSAIL and Ross-Li BRDF Models Using MODIS BRDF Data.
Remote. Sens., 2021

Influence of Varying Solar Zenith Angles on Land Surface Phenology Derived from Vegetation Indices: A Case Study in the Harvard Forest.
Remote. Sens., 2021

Retrieving Forest Canopy Elements Clumping Index Using ICESat GLAS Lidar Data.
Remote. Sens., 2021

The Influence of Spatial Resolution on the Retrieval of Clumping Index Based on Polder and Modis Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Research on the Directional Dependence of the Sampling Scale of Canopy Clumping Index.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

The Relationship of Sampling Distribution and BRDF in Different Wavelength for Snow Surface.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Evaluation of BRDF Information from Himawari-8 AHI Time-Series Multi-Angle Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Estimation of Mixed Forests Clumping Index and Its Spatial Heterogeneity Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Development of the Direct-Estimation Albedo Algorithm for Snow-Free Landsat TM Albedo Retrievals Using Field Flux Measurements.
IEEE Trans. Geosci. Remote. Sens., 2020

2019
Assessment of the Hotspot Effect for the PROSAIL Model With POLDER Hotspot Observations Based on the Hotspot-Enhanced Kernel-Driven BRDF Model.
IEEE Trans. Geosci. Remote. Sens., 2019

Evaluation of the Snow Albedo Retrieved from the Snow Kernel Improved the Ross-Roujean BRDF Model.
Remote. Sens., 2019

Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances.
Remote. Sens., 2019

Sensitivity of BRDF Sampling to Albedo and Angle Index Based on Airborne Multiangle Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Modeling Landsat Clumping Index Basing On MODIS and Field Data: A Machine Learning Approach.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Software Tool for Retrieving The Clumping Index Product From The MODIS Products.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Assessing Performance of the Kernel-Driven BRDF Models in Retrieving Snow Albedo Based on the bic-PT Model.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Retrieval of the Forest Leaf Area Index Based on the Laser Penetration Ratio from the GLAS Waveform Lidar Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

An Analysis of Improved Ross-Li Models on the Ability of Estimationg Albedo Under Large Solar Zenith Angle by Polder Datasets.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Potential Investigation of Linking PROSAIL with the Ross-Li BRDF Model for Vegetation Characterization.
Remote. Sens., 2018

Quantifying the Reflectance Anisotropy Effect on Albedo Retrieval from Remotely Sensed Observations Using Archetypal BRDFs.
Remote. Sens., 2018

Influence of Snow on the Magnitude and Seasonal Variation of the Clumping Index Retrieved from MODIS BRDF Products.
Remote. Sens., 2018

The Influence of Snow Cover on the Seasonal Variation of Global Clumping Index Products.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Forest Vertical Structure from MODIS BRDF Shape Indicators.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
A visualization tool for the kernel-driven model with improved ability in data analysis and kernel assessment.
Comput. Geosci., 2016

Analysis of anisotropy variance between the kernel-driven model and the PROSAIL model.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A method for kernel-driven model to correct the blended hemispherical diffuse irradiance in multi-angle measurements.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Preliminary validation and application of the angle products of MODIS AFX based on kernel-driven model.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Research about the bidirectional NDVI based on kernel-driven models.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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