Yao Li

Orcid: 0000-0001-8745-191X

According to our database1, Yao Li authored at least 14 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Global Reservoir Sedimentation Rate (GRSR) dataset.
Dataset, March, 2025

Ranging Bias Correction of Fully Saturated Data Over Waters for ICESat-2 Photon-Counting Lidar.
IEEE Trans. Geosci. Remote. Sens., 2025

2024
Yangtze River Basin Water Reservoir (YWR) dataset.
Dataset, November, 2024

3D-LAKES: A Three-Dimensional Global Lake and Reservoir Bathymetry Utilizing ICESat-2 Altimetry and Landsat Imagery.
Dataset, July, 2024

An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation.
IEEE Trans. Geosci. Remote. Sens., 2024

A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China.
IEEE Trans. Geosci. Remote. Sens., 2024

Spatiotemporal variation of spring phenology and the corresponding scale effects and uncertainties: A case study in southwestern China.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
TGLO Establish Historical Long-term Wetland Boundary Evolution Through Satellite Imagery.
Dataset, October, 2023

Global Reservoir Storage (GRS) dataset.
Dataset, April, 2023

2022
Multiscale Building Extraction With Refined Attention Pyramid Networks.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Constructing Reservoir Area-Volume-Elevation Curve from TanDEM-X DEM Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

NASA's MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data.
Remote. Sens., 2021

2020
Nonlinear Changes in Dryland Vegetation Greenness over East Inner Mongolia, China, in Recent Years from Satellite Time Series.
Sensors, 2020

2019
Deriving High-Resolution Reservoir Bathymetry From ICESat-2 Prototype Photon-Counting Lidar and Landsat Imagery.
IEEE Trans. Geosci. Remote. Sens., 2019


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