Li Guo

Orcid: 0000-0003-3821-4058

Affiliations:
  • Sichuan University, College of Water Resource and Hydropower, Chengdu, China
  • Pennsylvania State University, Department of Ecosystem Science and Management, PA, USA


According to our database1, Li Guo authored at least 13 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Enhancing Image Alignment in Time-Lapse-Ground-Penetrating Radar through Dynamic Time Warping.
Remote. Sens., March, 2024

2023
Standardized precipitation evapotranspiration index (SPEI) estimated using variant long short-term memory network at four climatic zones of China.
Comput. Electron. Agric., October, 2023

Predicting daily solar radiation using a novel hybrid long short-term memory network across four climate regions of China.
Comput. Electron. Agric., September, 2023

Advanced Time-Lapse Ground-Penetrating Radar Data Processing for Quantitatively Monitoring of Small-Scale Fluid Infiltration.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
An Automatic Processing Framework for In Situ Determination of Ecohydrological Root Water Content by Ground-Penetrating Radar.
IEEE Trans. Geosci. Remote. Sens., 2022

Enhanced Automatic Root Recognition and Localization in GPR Images Through a YOLOv4-Based Deep Learning Approach.
IEEE Trans. Geosci. Remote. Sens., 2022

Evaluation of Three Gridded Precipitation Products in Characterizing Extreme Precipitation over the Hengduan Mountains Region in China.
Remote. Sens., 2022

2021
Evaluation of Three Gridded Precipitation Products to Quantify Water Inputs over Complex Mountainous Terrain of Western China.
Remote. Sens., 2021

Integration of Satellite Precipitation Data and Deep Learning for Improving Flash Flood Simulation in a Poor-Gauged Mountainous Catchment.
Remote. Sens., 2021

The Root-Soil Water Relationship Is Spatially Anisotropic in Shrub-Encroached Grassland in North China: Evidence from GPR Investigation.
Remote. Sens., 2021

GPR-Based Automatic Identification of Root Zones of Influence Using HDBSCAN.
Remote. Sens., 2021

2016
Tree Root Automatic Recognition in Ground Penetrating Radar Profiles Based on Randomized Hough Transform.
Remote. Sens., 2016

2013
Estimating Tree-Root Biomass in Different Depths Using Ground-Penetrating Radar: Evidence from a Controlled Experiment.
IEEE Trans. Geosci. Remote. Sens., 2013


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