Evaluation of Isfahan City subsidence rate using InSAR and artificial intelligence

OM Sorkhabi, AS Nejad, M Khajehzadeh - KSCE Journal of Civil …, 2022 - Springer
Iranian agriculture has not made significant progress in recent decades, and crops are
grown using methods such as flood irrigation. Consumption of more than 90% of Iran's water …

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

OM Sorkhabi, B Shadmanfar, E Kiani - Results in Engineering, 2022 - Elsevier
Iran is an arid and semi-arid country, for this reason, monitoring dam reservoir storage
(DRS) is very important for water resources planning. In this research, Latyan DRS in East …

[HTML][HTML] Deep learning of GPS geodetic velocity

OM Sorkhabi, SMS Alizadeh, FT Shahdost… - Journal of Asian Earth …, 2022 - Elsevier
Installing permanent global positioning system (GPS) stations and receiving and monitoring
long-term crustal deformation requires a high cost. Another solution, which could be an …

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

OM Sorkhabi, SMS Alizadeh - Arabian Journal of Geosciences, 2021 - Springer
The determination of crustal deformation can be measured by geodetic observations of
permanent global positioning system (GPS) stations. In this study, the coseismic …

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

OM Sorkhabi, M Milani… - Earth and Space …, 2022 - Wiley Online Library
Geodetic velocity (GV) has many applications in tectonic motion determination and
geodynamic studies. Due to the high cost of global navigation satellite system stations, deep …

Real-Time Ionosphere Prediction Based on IGS Rapid Products Using Long Short-Term Memory Deep Learning

J Chen, Y Gao - NAVIGATION: Journal of the Institute of Navigation, 2023 - navi.ion.org
High-precision ionospheric corrections are essential for precise positioning using low-cost
single-frequency GNSS receivers. Although Real-Time Global Ionosphere Maps (RT-GIMs) …

Prediction of ionospheric total electron content over low latitude region: Case study in Ethiopia

GB Alemu, YG Ejigu - Advances in Space Research, 2024 - Elsevier
This study mainly focuses on the prediction of the variability of the Total Electron Content
(TEC) affecting space and ground-based technological infrastructures vulnerable to extreme …

Deep learning of ionosphere single-layer model and tomography

OM Sorkhabi, M Milani - Geomagnetism and Aeronomy, 2022 - Springer
The ionosphere layer modeling and determining the parameter of total electronic content
(TEC) has an important role in recognizing this layer and controlling its effects on human …

Real-Time Ionosphere Map Prediction Based on IGS Rapid Products Using Long Short-Term Memory Deep Learning

J Chen, Y Gao - Proceedings of the 2022 International Technical …, 2022 - ion.org
In addition to ionosphere remote sensing applications using GNSS, the availability of high
precision ionospheric corrections is essential for precise positioning using low-cost single …

[HTML][HTML] Influence of solar radiation on ionosphere over India

P Chaithra, BR Krishna, N Kamsali - Physics Open, 2023 - Elsevier
The ionosphere is a region of the upper atmosphere where free electrons and ions are
created by solar radiation. An effort is made to study the solar radiation influence on the …