Weiwei Liu
Orcid: 0000-0002-0536-8176Affiliations:
- Ningbo University, Donghai Academy, Department of Geography and Spatial Information Techniques, China
- Zhejiang University, Hangzhou, China (PhD 2020)
According to our database1,
Weiwei Liu
authored at least 12 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Selecting of global phenological field observations for validating coarse AVHRR-derived forest phenology products based on spatial heterogeneity and temporal consistency.
Ecol. Informatics, 2025
A novel scheme for seamless global mapping of daily mean air temperature (SGM_DMAT) at 1-km spatial resolution using satellite and auxiliary data.
Ecol. Informatics, 2025
A novel framework for dynamic and quantitative mapping of damage severity due to compound Drought-Heatwave impacts on tea Plantations, integrating Sentinel-2 and UAV images.
Comput. Electron. Agric., 2025
2024
Estimation of Coastal Wetland Vegetation Aboveground Biomass by Integrating UAV and Satellite Remote Sensing Data.
Remote. Sens., August, 2024
STANet: A Hybrid Spectral and Texture Attention Pyramid Network for Spectral Super-Resolution of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
A Progressive Feature Enhancement Deep Network for Large-Scale Remote Sensing Image Superresolution.
IEEE Trans. Geosci. Remote. Sens., 2023
Self-Supervised Feature Learning Based on Spectral Masking for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023
Mapping Waterlogging Damage to Winter Wheat Yield Using Downscaling-Merging Satellite Daily Precipitation in the Middle and Lower Reaches of the Yangtze River.
Remote. Sens., 2023
2022
Mapping Coastal Wetlands Using Transformer in Transformer Deep Network on China ZY1-02D Hyperspectral Satellite Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A Systematic Classification Method for Grassland Community Division Using China's ZY1-02D Hyperspectral Observations.
Remote. Sens., 2022
2021
Remote. Sens., 2021
A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images.
Int. J. Appl. Earth Obs. Geoinformation, 2021