Omid Memarian Sorkhabi

Omid Memarian Sorkhabi

University of Isfahan

H-index: 10

Asia-Iran

About Omid Memarian Sorkhabi

Omid Memarian Sorkhabi, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Isfahan, specializes in the field of Earth Observation, Artificial Intelligence, Remote Sensing, GNSS, InSAR.

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

4D modeling of precipitable water vapor to assess flood forecasting by using GPS signals

Landslides monitoring with SBAS-InSAR and GNSS

Monitoring Groundwater Storage Based on Satellite Gravimetry and Deep Learning

Multi-sensor observations for monitoring groundwater depletion and land subsidence

Evaluation of Isfahan City subsidence rate using InSAR and artificial intelligence

Investigating the efficiency of deep learning methods in estimating GPS geodetic velocity

Wavelet decomposition and deep learning of altimetry waveform retracking for Lake Urmia water level survey

Monitoring of dam reservoir storage with multiple satellite sensors and artificial intelligence

Omid Memarian Sorkhabi Information

University

Position

___

Citations(all)

235

Citations(since 2020)

227

Cited By

71

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

University of Isfahan

Google Scholar

View Google Scholar Profile

Omid Memarian Sorkhabi Skills & Research Interests

Earth Observation

Artificial Intelligence

Remote Sensing

GNSS

InSAR

Top articles of Omid Memarian Sorkhabi

Title

Journal

Author(s)

Publication Date

4D modeling of precipitable water vapor to assess flood forecasting by using GPS signals

Natural Hazards

Omid Memarian Sorkhabi

Yahya Djamour

2024/1

Landslides monitoring with SBAS-InSAR and GNSS

Physics and Chemistry of the Earth, Parts A/B/C

Omid Memarian Sorkhabi

Mohammad Khajehzadeh

Suraparb Keawsawasvong

2023/12/1

Monitoring Groundwater Storage Based on Satellite Gravimetry and Deep Learning

Natural Resources Research

Omid Memarian Sorkhabi

Jamal Asgari

Timothy O Randhir

2023/6

Multi-sensor observations for monitoring groundwater depletion and land subsidence

Journal of Hydrology: Regional Studies

Omid Memarian Sorkhabi

Jamal Asgari

2023/12/1

Evaluation of Isfahan City subsidence rate using InSAR and artificial intelligence

KSCE Journal of Civil Engineering

Omid Memarian Sorkhabi

Ali Sadeghy Nejad

Mohammad Khajehzadeh

2022/6

Investigating the efficiency of deep learning methods in estimating GPS geodetic velocity

Earth and Space Science

Omid Memarian Sorkhabi

Muhammed Milani

Seyed Mehdi Seyed Alizadeh

2022/10

Wavelet decomposition and deep learning of altimetry waveform retracking for Lake Urmia water level survey

Marine Georesources & Geotechnology

Omid Memarian Sorkhabi

Jamal Asgari

Alireza Amiri-Simkooei

2021/3/4

Monitoring of dam reservoir storage with multiple satellite sensors and artificial intelligence

Results in Engineering

Omid Memarian Sorkhabi

Behnaz Shadmanfar

Elham Kiani

2022/10/1

Deep learning of ionosphere single-layer model and tomography

Geomagnetism and Aeronomy

Omid Memarian Sorkhabi

Muhammed Milani

2022/8

Deep learning of sea-level variability and flood for coastal city resilience

City and Environment Interactions

Omid Memarian Sorkhabi

Behnaz Shadmanfar

Mohammed M Al-Amidi

2022/12/23

Investigation of mass changes with GRACE and GRACE-FO satellite

Earth and Statistics

OM Sorkhabi

2022/7/1

PCA-SOM of GRACE-FO total water storage for global climate decisions

Geodesy and Cartography

Omid Memarian Sorkhabi

Iman Kurdpour

2022/12/14

Deep learning of GPS geodetic velocity

Journal of Asian Earth Sciences: X

Omid Memarian Sorkhabi

Seyed Mehdi Seyed Alizadeh

Farzad Tat Shahdost

Hakimeh Morabbi Heravi

2022/6/1

Land subsidence and groundwater storage investigation with multi sensor and extended Kalman filter

Groundwater for Sustainable Development

Omid Memarian Sorkhabi

Iman Kurdpour

Rouhollah Esmaeili Sarteshnizi

2022/10/15

Analysis of Greenland mass changes based on GRACE four-dimensional wavelet decomposition

Remote Sensing Letters

Omid Memarian Sorkhabi

Jamal Asgari

Alireza Amiri Simkooei

2021/5/4

Caspian Sea level based on GRACE-FO

Omid Memarian Sorkhabi

2021/5/3

Coseismic displacement of Ahar–Varzegan earthquakes based on GPS observations and deep learning

Arabian Journal of Geosciences

Omid Memarian Sorkhabi

Seyed Mehdi Seyed Alizadeh

2021/9

Changes in the area of​​ Lake Urmia based on Landsat Image

Omid Memarian Sorkhabi

2021/5/3

Deep learning of total electron content

SN Applied Sciences

Omid Memarian Sorkhabi

2021/7

Lake Urmia level in 2020 based on satellite altimetry

Omid Memarian Sorkhabi

2021/4/30

See List of Professors in Omid Memarian Sorkhabi University(University of Isfahan)

Co-Authors

H-index: 34
Alireza Amiri-Simkooei

Alireza Amiri-Simkooei

University of Isfahan

H-index: 31
Timothy O. Randhir, Ph.D.

Timothy O. Randhir, Ph.D.

University of Massachusetts Amherst

H-index: 15
Jamal Asgari

Jamal Asgari

University of Isfahan

H-index: 1
Alireza Sobouti

Alireza Sobouti

University of Tehran

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