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

OM Sorkhabi, B Shadmanfar, MM Al-Amidi - City and Environment …, 2023 - Elsevier
Due to climate change, it is important to study the relationship between floods and sea-level
rise in coastal city resilience. In this research sea surface temperature (SST) from MODIS …

Machine learning approach for GNSS geodetic velocity estimation

S Özarpacı, B Kılıç, OC Bayrak, M Taşkıran, U Doğan… - GPS Solutions, 2024 - Springer
This study aimed to investigate the performance of machine learning (ML) algorithms in
determining horizontal velocity at specific points using the current Global Navigation …

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

OM Sorkhabi, I Kurdpour - Geodesy and Cartography, 2022 - journals.vilniustech.lt
The gravity recovery and climate experiment (GRACE) and GRACE-Follow on (FO) data
provide valuable information about dynamic total water storage (TWS). The complexity of the …

[PDF][PDF] City and Environment Interactions

OM Sorkhabi, B Shadmanfar, MM Al-Amidi - researchgate.net
Due to climate change, it is important to study the relationship between floods and sea-level
rise in coastal city resilience. In this research sea surface temperature (SST) from MODIS …