Hamid Ghanbari

Hamid Ghanbari

Université Laval

H-index: 6

North America-Canada

About Hamid Ghanbari

Hamid Ghanbari, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Université Laval, specializes in the field of Remote Sensing, Machine learning, Geomatics.

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

A∼ 5000 year multiproxy record of summer climate in NE Greenland

A new index for the rapid generation of chlorophyll time series from hyperspectral imaging of sediment cores

Long-term environmental changes in the Canadian boreal zone: Synthesizing temporal trends from lake sediment archives to inform future sustainability

Convolutional neural networks for mapping of lake sediment core particle size using hyperspectral imaging

A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates

A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications

Remote Sensing of Lake Sediment Core Particle Size Using Hyperspectral Image Analysis

Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review

Hamid Ghanbari Information

University

Position

___

Citations(all)

568

Citations(since 2020)

566

Cited By

21

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Hamid Ghanbari Skills & Research Interests

Remote Sensing

Machine learning

Geomatics

Top articles of Hamid Ghanbari

A∼ 5000 year multiproxy record of summer climate in NE Greenland

Science of the Total Environment

2024/1/1

A new index for the rapid generation of chlorophyll time series from hyperspectral imaging of sediment cores

Limnology and Oceanography Methods

2023/9/30

Long-term environmental changes in the Canadian boreal zone: Synthesizing temporal trends from lake sediment archives to inform future sustainability

2023/5/8

Convolutional neural networks for mapping of lake sediment core particle size using hyperspectral imaging

International Journal of Applied Earth Observation and Geoinformation

2022/8/1

Hamid Ghanbari
Hamid Ghanbari

H-Index: 3

Dermot Antoniades
Dermot Antoniades

H-Index: 20

A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates

Earth Surface Processes and Landforms

2022/8

A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications

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

2021/3/11

Hamid Ghanbari
Hamid Ghanbari

H-Index: 3

Remote Sensing of Lake Sediment Core Particle Size Using Hyperspectral Image Analysis

Remote Sensing

2020/1

Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review

2020/9/25

Mohammadreza Sheykhmousa
Mohammadreza Sheykhmousa

H-Index: 2

Hamid Ghanbari
Hamid Ghanbari

H-Index: 3

See List of Professors in Hamid Ghanbari University(Université Laval)

Co-Authors

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