David Shean

David Shean

University of Washington

H-index: 30

North America-United States

About David Shean

David Shean, With an exceptional h-index of 30 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Remote Sensing, Cryosphere, Glaciology, Geodesy, Planetary Science.

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

Mountain snow depth retrievals from customized processing of ICESat-2 satellite laser altimetry

Six Consecutive Seasons of High‐Resolution Mountain Snow Depth Maps From Satellite Stereo Imagery

GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework built on top of open science workflows for evaluating glacier velocity maps

Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry:(II) optimizing acquisition configurations

Capturing the onset of mountain snowmelt runoff using satellite synthetic aperture radar

Observing glacier elevation changes from spaceborne optical and radar sensors–an inter-comparison experiment using ASTER and TanDEM-X data

Removing Atmospheric Noise from InSAR Interferograms in Mountainous Regions with a Convolutional Neural Network

Rapid fluvial remobilization of sediments deposited by the 2021 Chamoli disaster, Indian Himalaya

David Shean Information

University

Position

___

Citations(all)

4011

Citations(since 2020)

2948

Cited By

1912

hIndex(all)

30

hIndex(since 2020)

27

i10Index(all)

42

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

David Shean Skills & Research Interests

Remote Sensing

Cryosphere

Glaciology

Geodesy

Planetary Science

Top articles of David Shean

Mountain snow depth retrievals from customized processing of ICESat-2 satellite laser altimetry

Remote Sensing of Environment

2024/1/1

David Shean
David Shean

H-Index: 18

Six Consecutive Seasons of High‐Resolution Mountain Snow Depth Maps From Satellite Stereo Imagery

Geophysical Research Letters

2023/12/28

David Shean
David Shean

H-Index: 18

Shashank Bhushan
Shashank Bhushan

H-Index: 3

GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework built on top of open science workflows for evaluating glacier velocity maps

Authorea Preprints

2023/12/27

Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry:(II) optimizing acquisition configurations

Remote Sensing of Environment

2023/12/1

Capturing the onset of mountain snowmelt runoff using satellite synthetic aperture radar

Geophysical Research Letters

2023/11/16

David Shean
David Shean

H-Index: 18

Observing glacier elevation changes from spaceborne optical and radar sensors–an inter-comparison experiment using ASTER and TanDEM-X data

The Cryosphere Discussions

2023/11/6

Removing Atmospheric Noise from InSAR Interferograms in Mountainous Regions with a Convolutional Neural Network

Authorea Preprints

2023/10/30

David Shean
David Shean

H-Index: 18

Rapid fluvial remobilization of sediments deposited by the 2021 Chamoli disaster, Indian Himalaya

Geology

2023/10/1

Multi-decadal erosion rates from glacierized watersheds on Mount Baker, Washington, USA, reveal topographic, climatic, and lithologic controls on sediment yields

Geomorphology

2023/10/1

Erkan Istanbulluoglu
Erkan Istanbulluoglu

H-Index: 27

David Shean
David Shean

H-Index: 18

Snow depth from satellite laser altimetry (AGU 2021 presentation)

Authorea Preprints

2023/7/7

David Shean
David Shean

H-Index: 18

High-resolution mapping of snow cover in montane meadows and forests using Planet imagery and machine learning

Frontiers in Water

2023/6/1

Characterizing and mapping volcanic flow deposits on Mount St. Helens via dual-band SAR imagery

Remote Sensing

2023/5/27

Mel Rodgers
Mel Rodgers

H-Index: 8

David Shean
David Shean

H-Index: 18

A new opportunity to measure snow depth from space: evaluation of retrievals from ICESat-2 using airborne laser-scanning data

EGU General Assembly Conference Abstracts

2023/5

David Shean
David Shean

H-Index: 18

Historical Structure from Motion (HSfM): Automated processing of historical aerial photographs for long-term topographic change analysis

Remote Sensing of Environment

2023/2/1

David Shean
David Shean

H-Index: 18

Shashank Bhushan
Shashank Bhushan

H-Index: 3

SlideRule: Enabling rapid, scalable, open science for the NASA ICESat-2 mission and beyond

Journal of Open Source Software

2023/1/18

David Shean
David Shean

H-Index: 18

Thomas Neumann
Thomas Neumann

H-Index: 2

Quantifying Parameter Uncertainty in a Glacier Evolution Model of High Mountain Asia with a Markov Chain Monte Carlo Method

Authorea Preprints

2022/11/24

Regine Hock
Regine Hock

H-Index: 35

David Shean
David Shean

H-Index: 18

70 years of high-resolution glacier surface elevation records derived from historical aerial photography across Western North America

Authorea Preprints

2022/11/23

David Shean
David Shean

H-Index: 18

Shashank Bhushan
Shashank Bhushan

H-Index: 3

Automated tools to derive short-term glacier velocity from high-resolution commercial satellite imagery

Authorea Preprints

2022/11/23

Shashank Bhushan
Shashank Bhushan

H-Index: 3

David Shean
David Shean

H-Index: 18

Machine Learning Classification and Derived Snow Metrics from Very-high-resolution Multispectral Satellite Imagery in Complex Terrain

Authorea Preprints

2022/11/22

Michelle Hu
Michelle Hu

H-Index: 2

David Shean
David Shean

H-Index: 18

Dependence of Pine Island Glacier Ice Shelf Basal Melt Rates on Subgrid-Scale Parameterizations of Mixing

Authorea Preprints

2022/11/22

Ian Joughin
Ian Joughin

H-Index: 52

David Shean
David Shean

H-Index: 18

See List of Professors in David Shean University(University of Washington)