Thomas Oommen

Thomas Oommen

Michigan Technological University

H-index: 28

North America-United States

About Thomas Oommen

Thomas Oommen, With an exceptional h-index of 28 and a recent h-index of 25 (since 2020), a distinguished researcher at Michigan Technological University, specializes in the field of Geotechnical Engineering, Geological Engineering, Geologic Hazards, Remote Sensing, Engineering Geology.

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

Need for a Multi-Sensor Monitoring Approach for Embankment Failures: Lessons Learned from the Edenville Dam Failure

PyLandslide: A Python tool for landslide susceptibility mapping and uncertainty analysis

Suitability of the height above nearest drainage (HAND) model for flood inundation mapping in data-scarce regions: a comparative analysis with hydrodynamic models

MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset

Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing

Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems

C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery

Addressing the Effect of Intra-Seasonal Variations in Developing Rainfall Thresholds: An Antecedent Rainfall-Based Approach

Thomas Oommen Information

University

Position

Professor Geological and Mining Engineering and Sciences

Citations(all)

2923

Citations(since 2020)

2204

Cited By

1442

hIndex(all)

28

hIndex(since 2020)

25

i10Index(all)

67

i10Index(since 2020)

61

Email

University Profile Page

Michigan Technological University

Google Scholar

View Google Scholar Profile

Thomas Oommen Skills & Research Interests

Geotechnical Engineering

Geological Engineering

Geologic Hazards

Remote Sensing

Engineering Geology

Top articles of Thomas Oommen

Title

Journal

Author(s)

Publication Date

Need for a Multi-Sensor Monitoring Approach for Embankment Failures: Lessons Learned from the Edenville Dam Failure

Environmental & Engineering Geoscience

Jobin Thomas

Ryan Klida

Thomas Oommen

Sajinkumar KS

Bin Zhang

...

2024/5/1

PyLandslide: A Python tool for landslide susceptibility mapping and uncertainty analysis

Environmental Modelling & Software

Mohammed Basheer

Thomas Oommen

2024/4/25

Suitability of the height above nearest drainage (HAND) model for flood inundation mapping in data-scarce regions: a comparative analysis with hydrodynamic models

Earth Science Informatics

Navin Tony Thalakkottukara

Jobin Thomas

Melanie K Watkins

Benjamin C Holland

Thomas Oommen

...

2024/1/13

MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset

Sidike Paheding

Abel A Reyes

A Rajaneesh

KS Sajinkumar

Thomas Oommen

2024

Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing

Sensors

Jordan Ewing

Thomas Oommen

Jobin Thomas

Anush Kasaragod

Richard Dobson

...

2023/6/11

Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems

Remote Sensing

Marta Zocchi

Anush Kumar Kasaragod

Abby Jenkins

Chris Cook

Richard Dobson

...

2023/6/9

C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery

Abel A Reyes

Sidike Paheding

A Rajaneesh

KS Sajinkumar

Thomas Oommen

2023

Addressing the Effect of Intra-Seasonal Variations in Developing Rainfall Thresholds: An Antecedent Rainfall-Based Approach

Thomas and Chatterjee, Snehamoy and KS, Sajinkumar, Addressing the Effect of Intra-Seasonal Variations in Developing Rainfall Thresholds: An Antecedent Rainfall-Based Approach

Vishnu Chakrapani Lekha

Thomas Oommen

Snehamoy Chatterjee

Sajinkumar KS

2023

Assessing the Improvement of a Sparse Rain Gauge Network in a Landslide Hotspot in Kerala, India—A Multi-Criteria Approach

Environmental & Engineering Geoscience

CL Vishnu

Thomas Oommen

Snehamoy Chatterjee

A Rajaneesh

KS Sajin Kumar

2023/11/1

Migrating rivers, consequent paleochannels: The unlikely partners and hotspots of flooding

Science of the Total Environment

KS Sajinkumar

A Arya

A Rajaneesh

T Oommen

Ali P Yunus

...

2022/2/10

The tale of three landslides in the Western Ghats, India: lessons to be learnt

Geoenvironmental Disasters

RS Ajin

D Nandakumar

A Rajaneesh

T Oommen

Yunus P Ali

...

2022/7/13

Soil Texture Classification Using Deep Learning

AGU Fall Meeting Abstracts

Anush Kumar Kumar Kasaragod

Thomas Oommen

Sidike Paheding

Ryan Williams

2022/12

Furthering the precision of RUSLE soil erosion with PSInSAR data: An innovative model

Geocarto International

J Aswathi

KS Sajinkumar

A Rajaneesh

T Oommen

EH Bouali

...

2022/12/13

Deriving a denudation index for terrestrial meteorite impact craters using drainages as proxies

Geomorphology

GK Indu

S James

Saranya R Chandran

V Aneeshkumar

S Keerthy

...

2022/1/15

Physical vulnerability evaluation of buildings exposed to Balia Nala landslide using indicator-based approach and GIS: a case study of Nainital town, Uttarakhand, India

Arabian Journal of Geosciences

Himani Tiwari

Ramesh Veerappan

Harshita Tiwari

Thomas Oommen

2022/5

Development of a flood risk modeling system for enhanced resilience of rural regions

Jobin Thomas

Subhami Mohan

Navin Tony Thalakkottukara

Thomas Oommen

Melanie K Watkins

...

2022/12/12

Policy Research Working Paper 10264

Policy

Mohammed Basheer

Thomas Oommen

Masatsugu Takamatsu

Sachi Suzuki

2022/12

Machine Learning and Sensitivity Analysis Approach to Quantify Uncertainty in Landslide Susceptibility Mapping

Mohammed Basheer

Thomas Oommen

Masatsugu Takamatsu

Sachi Suzuki

2022/12/14

Machine learning as a tool to classify extra-terrestrial landslides: A dossier from Valles Marineris, Mars

Icarus

A Rajaneesh

CL Vishnu

T Oommen

VJ Rajesh

KS Sajinkumar

2022/4/1

Methods for Data Collection and Remote Sensing

Jordan Ewing

Thomas Oommen

Paramsothy Jayakumar

2022/11/30

See List of Professors in Thomas Oommen University(Michigan Technological University)

Co-Authors

H-index: 62
Zhong Lu

Zhong Lu

Southern Methodist University

H-index: 33
Timothy C. Havens

Timothy C. Havens

Michigan Technological University

H-index: 32
Anupma Prakash

Anupma Prakash

University of Alaska Southeast

H-index: 27
Laurie Gaskins Baise

Laurie Gaskins Baise

Tufts University

academic-engine