Zhi Li

Orcid: 0000-0003-4760-842X

Affiliations:
  • University of Oklahoma, Norman, OK, USA


According to our database1, Zhi Li authored at least 15 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Comparison of GPM IMERG Version 06 Final Run Products and Its Latest Version 07 Precipitation Products across Scales: Similarities, Differences and Improvements.
Remote. Sens., December, 2023

Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product.
Remote. Sens., July, 2023

Distributed F-IDF products.
Dataset, July, 2023

F-IDF values at USGS stream gage sites.
Dataset, March, 2023

F-IDF values at USGS stream gage sites.
Dataset, March, 2023

2022
Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma - Part I: Individual Product Assessment.
Remote. Sens., 2022

Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region.
Environ. Model. Softw., 2022

2021
Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts.
Remote. Sens., 2021

CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction.
Environ. Model. Softw., 2021

2020
United States Flood Database.
Dataset, December, 2020

United States Flood Database.
Dataset, December, 2020

United States Flood Database.
Dataset, December, 2020

United States Flood Database.
Dataset, December, 2020

Ground Validation and Error Sources Identification for GPM IMERG Product over the Southeast Coastal Regions of China.
Remote. Sens., 2020

Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation.
Remote. Sens., 2020


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