Siyu Zhu
Orcid: 0000-0003-0273-1336Affiliations:
- Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing, China
- Tsinghua University, Department of hydraulics and hydropower engineering, Beijing, China (former)
According to our database1,
Siyu Zhu
authored at least 13 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
FPCI and SPCI Are Proposed to Distinguish the Frontal and Saturated Precipitation Systems Based on FY-4A.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
A Morphology-Based Adaptively Spatio-Temporal Merging Algorithm for Optimally Combining Multisource Gridded Precipitation Products With Various Resolutions.
IEEE Trans. Geosci. Remote. Sens., 2022
FY4QPE-MSA: An All-Day Near-Real-Time Quantitative Precipitation Estimation Framework Based on Multispectral Analysis From AGRI Onboard Chinese FY-4 Series Satellites.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
A Two-Step Method to Calibrate CYGNSS-Derived Land Surface Reflectivity for Accurate Soil Moisture Estimations.
IEEE Geosci. Remote. Sens. Lett., 2022
2020
Ground Validation and Error Sources Identification for GPM IMERG Product over the Southeast Coastal Regions of China.
Remote. Sens., 2020
2019
Corrections to "An Efficient and Effective Approach for Georeferencing AVHRR and GaoFen-1 Imageries Using Inland Water Bodies".
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Corrections to "Recognizing Global Reservoirs From Landsat 8 Images: A Deep Learning Approach".
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Spaceborne GNSS-R Observation of Global Lake Level: First Results from the TechDemoSat-1 Mission.
Remote. Sens., 2019
Assessment of Water Storage Change in China's Lakes and Reservoirs over the Last Three Decades.
Remote. Sens., 2019
A Google Earth Engine-enabled software for efficiently generating high-quality user-ready Landsat mosaic images.
Environ. Model. Softw., 2019
2018
An Efficient and Effective Approach for Georeferencing AVHRR and GaoFen-1 Imageries Using Inland Water Bodies.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018