Li Guo
Orcid: 0000-0003-3821-4058Affiliations:
- 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 14 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Enhancing Image Alignment in Time-Lapse-Ground-Penetrating Radar through Dynamic Time Warping.
Remote. Sens., March, 2024
Enhancing precision of root-zone soil moisture content prediction in a kiwifruit orchard using UAV multi-spectral image features and ensemble learning.
Comput. Electron. Agric., 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
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