Jian Yang
Orcid: 0000-0001-9691-5595Affiliations:
- Wuhan University, School of Electronic Information, China
- Wuhan Institute of Quantum Technology, China
According to our database1,
Jian Yang
authored at least 13 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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Bibliography
2025
Deriving Water Diffuse Attenuation Coefficient K<sub>d</sub> Using ICESat-2 Bathymetric Information.
IEEE Geosci. Remote. Sens. Lett., 2025
2024
Exploring the Most Effective Information for Satellite-Derived Bathymetry Models in Different Water Qualities.
Remote. Sens., July, 2024
Signal Photon Extraction and Classification for ICESat-2 Photon-Counting Lidar in Coastal Areas.
Remote. Sens., April, 2024
Modeling and Correcting Building Boundary in ICESat-2 Spaceborne Laser Altimeter Data Considering the Extended Laser Spot Effect.
IEEE Trans. Geosci. Remote. Sens., 2024
Cloud Optical Thickness Estimation Over Oceans Combining Active and Passive Information of ICESat-2.
IEEE Trans. Geosci. Remote. Sens., 2024
Ocean Surface Wind Speed Estimation Combining Radiometric and Geometric Characteristics of Ocean Waves From ICESat-2 Photon-Counting Lidar.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Instrument Radiometric Correction of Laser Signals and Background Noise for ICESat-2 Photon-Counting Lidar.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
Analysis and Correction of Water Forward-Scattering-Induced Bathymetric Bias for Spaceborne Photon-Counting Lidar.
Remote. Sens., February, 2023
Derived Reflectance Over Open Oceans Using ICESat-2 Background Noise and Auxiliary Data.
IEEE Trans. Geosci. Remote. Sens., 2023
Coastal Bathymetry Determined From Water Waves Observed by Airborne Lidars: A Case Study Near Ganquan Island, South China Sea.
IEEE Geosci. Remote. Sens. Lett., 2023
Examining the Consistency of Lidar Attenuation Coefficient K<sub>lidar</sub> From ICESat-2 and Diffuse Attenuation Coefficient K<sub>d</sub> From MODIS.
IEEE Geosci. Remote. Sens. Lett., 2023
2021
Deriving Highly Accurate Shallow Water Bathymetry From Sentinel-2 and ICESat-2 Datasets by a Multitemporal Stacking Method.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Global Estimation and Assessment of Monthly Lake/Reservoir Water Level Changes Using ICESat-2 ATL13 Products.
Remote. Sens., 2021