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followers: 12.0 following: 17.0 repos: 32.0 gists: 0.0

Name: Rui Gao

Type: User

Company: Mississippi State University

Bio: [email protected] [email protected] [email protected]

Twitter: RaymondGao7

Location: Starkville, MI

Rui Gao

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.

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:

2023 | Temperature separation via eliminating shadow-pixel influence based on high-resolution sUAS image in California vineyards | https://doi.org/10.4211/hs.c0876501581f4
2022 | A python-based program generating a part of information based on AggieAir images for the TSEB model: taking California vineyards as an example | https://doi.org/10.4211/hs.c12d334b3143470a9787a
2021 | Features extraction from the LAI2200C plant canopy analyzer | https://doi.org/10.4211/hs.6d0c4a14289742d0951ba5ab9eca7dc0
2021 | Feature extraction approaches for leaf area index estimation in California vineyards via machine learning algorithms | https://doi.org/10.4211/hs.923cf9a7a3bb49369a4e65d48237002b
2021 | Footprint area generating based on eddy covariance records | https://doi.org/10.4211/hs.9118e2c1034e40e4ba4721cd17702f70
2021 | TSEB modeling and the comparison between the model results and the eddy-covariance monitored data within the footprint area | https://doi.org/10.4211/hs.eb6eeeccdbe546fc941f3c219cb05a34

Rui Gao's Projects

3seb

aggieair-images-4-tseb

Gain images based on AggieAir-platform image to support TSEB model.

cee6190_gis_hillshade

Materials for Class.

chpc-myjobs-templates

SLURM job templates, including integration with Open OnDemand

crop_yield_prediction

Crop Yield Prediction with Deep Learning

deep-learning-frameworks

Installation support for Deep Learning Frameworks for the ArcGIS System

ec-tower_data_organizing

Based on the time, the corresponding records are expected to extracted from the EC-tower processed data (table), which is used for footprint-area calculation and TSEB modeling.

flux-data-qaqc

Energy Balance Closure Analysis and Eddy Flux Data Post-Processing

fluxpart

Python module for partitioning eddy covariance flux measurements.

goodnessoffitmodel

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

group_materials

Materials for our research group.

hands-on-scikit-learn-for-mach-learning-apps

Source code for 'Hands-on Scikit-Learn for Machine Learning Applications' by David Paper

lai2200c-pca_feature_extraction

Extract information from the Plant Canopy Analyzer containing coordinates, time, and the corresponding LAI value.

leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

machine-learning

notebooks with example for machine learning examples

mljar-supervised

Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

nsf_dsaw_application_1

Farm Scale Soil Moisture using Remote Sensing and Water Budget Products

prj_earthengine_hydroshare

This is an ongoing work to integrate EarthEngine funtionality into Hydroshare JupyterHUB. Examples and code are presented

psc6003-cee6003_practice_material

Materials for Class.

pydms

Python implementation of Data Mining Sharpener

python-lectures

Jupyter Notebooks and related files for the Center for High Performance Computing's python lectures

pytorch-tutorial

rg_gfit

Statistics used for Rui's research.

rui_functions_package

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

ruigao9

ruigao9.github.io

shap

A game theoretic approach to explain the output of any machine learning model.

silsm_v3

An Modified Shuttleworth-Wallace model with isotopic tracers

tseb_components

Digital values of important components from the TSEB model within footprint: Rn, H, LE, G, and LE (Canopy), and also the average LAI value extracted from the footprint area.

ruigao9 Goto Github PK

Rui Gao

Rui Gao's Projects

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