Craig Glennie

Craig Glennie

University of Houston

H-index: 40

North America-United States

About Craig Glennie

Craig Glennie, With an exceptional h-index of 40 and a recent h-index of 28 (since 2020), a distinguished researcher at University of Houston,

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Models

Enhancing UAS-based Earth Science Through Coordinated Facility Support

ICESat-2 noise filtering using a point cloud neural network

National Center for Airborne Laser Mapping (NCALM) LiDAR and DEM data from two NGEE Arctic Sites, Seward Peninsula, Alaska, Winter 2022

Deep Learning Hydrodynamic Forecasting for Flooded Region Assessment in Near-Real-Time (DL Hydro-FRAN)

Classification of terrestrial lidar data directly from digitized echo waveforms

Estimation of lidar-based gridded DEM uncertainty with varying terrain roughness and point density

Automated near-field deformation detection from mobile laser scanning for the 2014 Mw 6.0 South Napa earthquake

Craig Glennie Information

University

Position

___

Citations(all)

4872

Citations(since 2020)

2873

Cited By

3156

hIndex(all)

40

hIndex(since 2020)

28

i10Index(all)

75

i10Index(since 2020)

64

Email

University Profile Page

Google Scholar

Top articles of Craig Glennie

Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Models

arXiv preprint arXiv:2404.02234

2024/4/2

Francisco Haces-Garcia
Francisco Haces-Garcia

H-Index: 1

Craig Glennie
Craig Glennie

H-Index: 27

Enhancing UAS-based Earth Science Through Coordinated Facility Support

2024/3/7

ICESat-2 noise filtering using a point cloud neural network

ISPRS Open Journal of Photogrammetry and Remote Sensing

2024/1/1

Craig Glennie
Craig Glennie

H-Index: 27

National Center for Airborne Laser Mapping (NCALM) LiDAR and DEM data from two NGEE Arctic Sites, Seward Peninsula, Alaska, Winter 2022

2023/6/8

Craig Glennie
Craig Glennie

H-Index: 27

Deep Learning Hydrodynamic Forecasting for Flooded Region Assessment in Near-Real-Time (DL Hydro-FRAN)

arXiv preprint arXiv:2305.12052

2023/5/20

Classification of terrestrial lidar data directly from digitized echo waveforms

IEEE Transactions on Geoscience and Remote Sensing

2023/3/1

Estimation of lidar-based gridded DEM uncertainty with varying terrain roughness and point density

ISPRS Open Journal of Photogrammetry and Remote Sensing

2023/1/1

Automated near-field deformation detection from mobile laser scanning for the 2014 Mw 6.0 South Napa earthquake

Journal of Applied Geodesy

2022/1/27

Stream boundary detection of a hyper-arid, polar region using a U-Net architecture: Taylor Valley, Antarctica

Remote Sensing

2022/1/5

America’s loss of capacity and international competitiveness in geodesy, the economic and military implications, and some modes of corrective action

2022/1/1

Estimating Fault Surface Creep Using Lidar Time Series Analysis

AGU Fall Meeting Abstracts

2022/12

Change detection investigation of ICESat-2/Sentinel-2 spaceborne bathymetry around coastal barrier islands in Mississippi/Alabama, USA

AGU Fall Meeting Abstracts

2022/12

ICESat-2 Noise Filtering Using ConvPoint Neural Network

AGU Fall Meeting Abstracts

2022/12

Quantifying Mass Wasting Movements with Remote Sensing in Denali National Park

AGU Fall Meeting Abstracts

2022/12

Assessment of ICESat-2 ATL08 Canopy Height Estimates for Tropical Forests in the Americas

AGU Fall Meeting 2021

2021/12/15

Sustainability of Network Infrastructure in a Geospatial Resilience Context

Sustainability

2022/9/12

Validation of ICESat-2 ATL08 terrain and canopy height retrievals in tropical Mesoamerican forests

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2022/3/29

Rigorous propagation of LiDAR point cloud uncertainties to spatially regular grids by a TIN linear interpolation

IEEE Geoscience and Remote Sensing Letters

2021/12/10

Terrestrial lidar data classification based on raw waveform samples versus online waveform attributes

IEEE Transactions on Geoscience and Remote Sensing

2021/12/3

See List of Professors in Craig Glennie University(University of Houston)