Skip to content
View RuiGao9's full-sized avatar
  • Mississippi State University
  • Starkville, MI
  • X @RaymondGao7
Block or Report

Block or report RuiGao9

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RuiGao9/README.md

Rui Gao

GitHub Badge Visitors Badge
Google Scholar Badge ResearchGate Badge HYDROSHARE Badge SciProfiles
Linkedin Badge Twitter
CV Badge Donate Badge

Rui obtained his Ph.D. degree at Utah Water Research Laboratory, Department of Civil & Environmental Engineering, Utah State University, worked with Dr. Alfonso Torres-Rua. Rui is interested in topics relating to water resources management at different spatial scales.

GoogleScholar_CloudME

Recent Research Work:

  • 2023 | Irrigation Science | Spatial estimation of actual evapotranspiration over irrigated turfgrass using aUAS thermal and multispectral imagery and TSEB model | https://doi.org/10.21203/rs.3.rs-3098168/v1

  • 2023 | Remote Sensing | ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards | https://doi.org/10.3390/rs15030756

  • 2022 | Irrigation Science | LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning | https://doi.org/10.1007/s00271-022-00776-0

  • 2022 | SPIE | Exploratory analysis of vineyard leaf water potential against UAS multispectral and temperature information | https://doi.org/10.1117/12.2622995

  • 2021 | SPIE | Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information | https://doi.org/10.1117/12.2586259

Published Repository on HydroShare:


github stats Top Langs

Pinned

  1. CEE6190_GIS_Hillshade CEE6190_GIS_Hillshade Public

    Materials for Class.

  2. PSC6003-CEE6003_Practice_Material PSC6003-CEE6003_Practice_Material Public

    Materials for Class.

    Jupyter Notebook 1

  3. Group_Materials Group_Materials Public

    Materials for our research group.

    1

  4. GoodnessOfFitModel GoodnessOfFitModel Public

    9 statistics are included. What you need to provide are two vectors: label column and prediction column.

    Python 1

  5. Rui_Functions_Package Rui_Functions_Package Public

    Including all the functions I used for my project or ...

    Python

  6. RuiGao9.github.io RuiGao9.github.io Public

    ruigao9.github.io

    HTML