Search Results - "Sadra Karimzadeh"
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Remote Sensing X-Band SAR Data for Land Subsidence and Pavement Monitoring
Published in Sensors (Basel, Switzerland) (22-08-2020)“…In this study, we monitor pavement and land subsidence in Tabriz city in NW Iran using X-band synthetic aperture radar (SAR) sensor of Cosmo-SkyMed (CSK)…”
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Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran
Published in Scientific reports (14-04-2022)“…In many parts of the world, lake drying is caused by water management failures, while the phenomenon is exacerbated by climate change. Lake Urmia in Northern…”
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Ground Displacement in East Azerbaijan Province, Iran, Revealed by L-band and C-band InSAR Analyses
Published in Sensors (Basel, Switzerland) (03-12-2020)“…Iran, as a semi-arid and arid country, has a water challenge in the recent decades and underground water extraction has been increased because of improper…”
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Building Damage Assessment Using Multisensor Dual-Polarized Synthetic Aperture Radar Data for the 2016 M 6.2 Amatrice Earthquake, Italy
Published in Remote sensing (Basel, Switzerland) (01-04-2017)“…On 24 August 2016, the M 6.2 Amatrice earthquake struck central Italy, well-known as a seismically active region, causing considerable damage to buildings in…”
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Building Damage Characterization for the 2016 Amatrice Earthquake Using Ascending-Descending COSMO-SkyMed Data and Topographic Position Index
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-08-2018)“…The August 24, 2016, M 6.2 Amatrice earthquake in central Italy was one of the most destructive earthquakes in recent years, and it caused considerable human…”
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Seismic damage assessment in Sarpole-Zahab town (Iran) using synthetic aperture radar (SAR) images and texture analysis
Published in Natural hazards (Dordrecht) (01-08-2020)“…The synthetic aperture radar SAR system with the capability of imaging during the night, day, and the all-weather conditions has a high potential in change…”
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Development of Nationwide Road Quality Map: Remote Sensing Meets Field Sensing
Published in Sensors (Basel, Switzerland) (23-03-2021)“…In this study, we measured the in situ international roughness index (IRI) for first-degree roads spanning more than 1300 km in East Azerbaijan Province, Iran,…”
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Urban classification using preserved information of high dimensional textural features of Sentinel-1 images in Tabriz, Iran
Published in Earth science informatics (01-12-2021)“…Monitoring urban land through satellite images has rapidly developed with the advent of modern technologies, and the increasing number of satellites plays a…”
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A GIS-based seismic hazard, building vulnerability and human loss assessment for the earthquake scenario in Tabriz
Published in Soil dynamics and earthquake engineering (1984) (01-11-2014)“…A GIS-oriented procedure that may partially illuminate the consequences of a possible earthquake is presented in two main steps (seismic microzonation and…”
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Earthquake Aftermath from Very High-Resolution WorldView-2 Image and Semi-Automated Object-Based Image Analysis (Case Study: Kermanshah, Sarpol-e Zahab, Iran)
Published in Remote sensing (Basel, Switzerland) (01-11-2021)“…This study aimed to classify an urban area and its surrounding objects after the destructive M7.3 Kermanshah earthquake (12 November 2017) in the west of Iran…”
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Spatiotemporal deformation patterns of the Lake Urmia Causeway as characterized by multisensor InSAR analysis
Published in Scientific reports (03-04-2018)“…We present deformation patterns in the Lake Urmia Causeway (LUC) in NW Iran based on data collected from four SAR sensors in the form of interferometric…”
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A Preliminary Damage Assessment Using Dual Path Synthetic Aperture Radar Analysis for the M 6.4 Petrinja Earthquake (2020), Croatia
Published in Remote sensing (Basel, Switzerland) (01-06-2021)“…On 29 December 2020, an earthquake with a magnitude of M 6.4 hit the central part of Croatia. The earthquake resulted in casualties and damaged buildings in…”
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Extraction of Land Information, Future Landscape Changes and Seismic Hazard Assessment: A Case Study of Tabriz, Iran
Published in Sensors (Basel, Switzerland) (08-12-2020)“…Exact land cover inventory data should be extracted for future landscape prediction and seismic hazard assessment. This paper presents a comprehensive study…”
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A Weighted Overlay Method for Liquefaction-Related Urban Damage Detection: A Case Study of the 6 September 2018 Hokkaido Eastern Iburi Earthquake, Japan
Published in Geosciences (Basel) (01-12-2018)“…We performed interferometric synthetic aperture radar (InSAR) analyses to observe ground displacements and assess damage after the M 6.6 Hokkaido Eastern Iburi…”
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A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-01-2022)“…This article is a new assessment of damaged roads after the Kumamoto earthquake in southern Japan (2016) using remotely sensed synthetic aperture radar (SAR)…”
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A multisensor satellite image classification for the detection of mangrove forests in Qeshm Island (Southern Iran)
Published in Applied geomatics (01-03-2023)“…Mangrove forests in Iran are among the complex and productive ecosystems because these types of forests directly and indirectly play a significant role for…”
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A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models
Published in Sensors (Basel, Switzerland) (16-12-2020)“…Digital elevation model (DEM) plays a vital role in hydrological modelling and environmental studies. Many essential layers can be extracted from this land…”
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Earthquake Damage Region Detection by Multitemporal Coherence Map Analysis of Radar and Multispectral Imagery
Published in Remote sensing (Basel, Switzerland) (01-03-2021)“…Earth, as humans’ habitat, is constantly affected by natural events, such as floods, earthquakes, thunder, and drought among which earthquakes are considered…”
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SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan
Published in Applied sciences (14-12-2020)“…The evaluation of buildings damage following disasters from natural hazards is a crucial step in determining the extent of the damage and measuring renovation…”
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Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models
Published in Complexity (New York, N.Y.) (2020)“…Flooding is one of the most damaging natural hazards globally. During the past three years, floods have claimed hundreds of lives and millions of dollars of…”
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