A5073014976- Synthetic Aperture Radar (SAR) Applications and Techniques
- Earthquake Detection and Analysis
- earthquake and tectonic studies
- Remote-Sensing Image Classification
- Landslides and related hazards
- Flood Risk Assessment and Management
- Geophysical Methods and Applications
- Cryospheric studies and observations
- Seismic Performance and Analysis
- Seismology and Earthquake Studies
- Geochemistry and Geologic Mapping
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Hydrology and Drought Analysis
- Groundwater and Watershed Analysis
- Remote Sensing in Agriculture
- Transboundary Water Resource Management
- Hydrological Forecasting Using AI
- Seismic Waves and Analysis
- Soil Moisture and Remote Sensing
- Remote Sensing and LiDAR Applications
- Coastal wetland ecosystem dynamics
- Geological and Geochemical Analysis
- Agricultural and Environmental Management
- Infrastructure Resilience and Vulnerability Analysis
University of Tabriz
2016-2025
Tokyo Institute of Technology
2017-2024
Kanazawa University
2013-2016
We used remote sensing techniques and machine learning to detect map landslides, landslide susceptibility in the Cameron Highlands, Malaysia. located 152 landslides using a combination of interferometry synthetic aperture radar (InSAR), Google Earth (GE), field surveys. Of total slide locations, 80% (122 landslides) were utilized for training selected algorithms, remaining 20% (30 applied validation purposes. employed 17 conditioning factors, including slope angle, aspect, elevation,...
Abstract In many parts of the world, lake drying is caused by water management failures, while phenomenon exacerbated climate change. Lake Urmia in Northern Iran up at such an alarming rate that it considered to be a dying lake, which has dire consequences for whole region. While salinization well understood and known influence local regional food production, other potential impacts lakes are as yet unknown. The production region predominantly relies on sources. To explore current projected...
Burned area (BA) mapping of a forest after fire is required for its management and the determination impacts on ecosystems. Different remote sensing sensors their combinations have been used due to individual limitations accurate BA mapping. This study analyzes contribution different features derived from optical, thermal, Synthetic Aperture Radar (SAR) images extract information Turkish red pine (Pinus brutia Ten.) in Mediterranean ecosystem. In addition reflectance values optical images,...
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 town of and surrounding area. Damage from this was assessed quantitatively by means multitemporal synthetic aperture radar (SAR) coherence SAR intensity methods using dual-polarized data obtained Sentinel-1 (VV, VH) ALOS-2 (HH, HV) satellites. We developed linear discriminant functions based on three items: (1) differential values; (2)...
Flooding is one of the most damaging natural hazards globally. During past three years, floods have claimed hundreds lives and millions dollars damage in Iran. In this study, we detected flood locations mapped areas susceptible to using time series satellite data analysis as well a new model bagging ensemble-based alternating decision trees, namely, bag-ADTree. We used Sentinel-1 for detection analysis. employed twelve conditioning parameters elevation, normalized difference’s vegetation...
This study is a new assessment of damaged roads after the Kumamoto earthquake in southern Japan (2016) using remotely sensed synthetic aperture radar (SAR) data, field data and deep learning. Three SAR images from descending orbits Sentinel-1 VV (vertical-vertical) polarizations are considered for radiometric calibration, geocoding interferometric analyses. Field terms IRI (international roughness index) were gathered over more than 530 km smartphone accelerometer BumpRecorder application....
This study investigates the identification and analysis of dust sources using satellite imagery synoptic meteorological data, focusing on a significant event originating from Syria September 1, 2015. Visual interpretation images, complemented by Brightness Temperature Difference (BTD) index, confirmed accuracy source identification. The revealed that an active low-pressure system in eastern Mediterranean facilitated formation due to low humidity conditions. Dust movement was predominantly...
In this study, we monitor pavement and land subsidence in Tabriz city NW Iran using X-band synthetic aperture radar (SAR) sensor of Cosmo-SkyMed (CSK) satellites (2017-2018). Fifteen CSK images with a revisit interval ~30 days have been used. Because traffic jams, usually cars on streets do not allow pure backscattering measurements pavements. Thus, the major paved areas (e.g., streets, etc.) are extracted from minimum-based stacking model high resolution (HR) SAR images. The technique can...
Earth, as humans’ habitat, is constantly affected by natural events, such floods, earthquakes, thunder, and drought among which earthquakes are considered one of the deadliest most catastrophic disasters. The Iran-Iraq earthquake occurred in Kermanshah Province, Iran November 2017. It was a 7.4-magnitude seismic event that caused immense damages loss life. rapid detection great importance for disaster management. Thanks to their wide coverage, high resolution, low cost, remote-sensing images...
In this study, we used fifty-six synthetic aperture radar (SAR) images acquired from the Sentinel-1 C-band satellite with a regular period of 12 days (except for one image) to produce sequential phase correlation (sequential coherence) maps town Sarpole-Zahab in western Iran, which experienced magnitude 7.3 earthquake on November 2017. The preseismic condition buildings was assessed based long SAR coherence (LSSC) method, considered 55 56 decay model climatic and temporal parameters....
We present deformation patterns in the Lake Urmia Causeway (LUC) NW Iran based on data collected from four SAR sensors form of interferometric synthetic aperture radar (InSAR) time series. Sixty-eight images Envisat (2004-2008), ALOS-1 (2006-2010), TerraSAR-X (2012-2013) and Sentinel-1 (2015-2017) were acquired, 227 filtered interferograms generated using small baseline subset (SBAS) technique. The rate line-of-sight (LOS) subsidence LUC peaked at 90 mm/year between 2012 2013, mainly due to...
The August 24, 2016, M 6.2 Amatrice earthquake in central Italy was one of the most destructive earthquakes recent years, and it caused considerable human losses. goal this study is to distinguish between collapsed standing buildings town using synthetic aperture radar (SAR) data acquired from COSMO-SkyMed satellite. Data both ascending descending orbits single HH polarization were evaluated separately. Two main representative change indices, SAR intensity (SI) coherence, combined...
Small earthquakes following a large event in the same area are typically aftershocks, which usually less destructive than mainshocks. These aftershocks considered mainshocks if they larger previous mainshock. In this study, records of (M > 2.5) Kermanshah Earthquake 7.3) Iran were collected from first second to end September 2018. Different machine learning (ML) algorithms, including naive Bayes, k-nearest neighbors, support vector machine, and random forests used conjunction with slip...
Digital elevation model (DEM) plays a vital role in hydrological modelling and environmental studies. Many essential layers can be extracted from this land surface information, including slope, aspect, rivers, curvature. Therefore, DEM quality accuracy will affect the features whole process of modeling. Despite freely available DEMs various sources, many researchers generate information for their areas observations. Sentinal-1 synthetic aperture radar (SAR) images are among best Earth...
We performed interferometric synthetic aperture radar (InSAR) analyses to observe ground displacements and assess damage after the M 6.6 Hokkaido Eastern Iburi earthquake in northern Japan on 6 September 2018. A multitemporal SAR coherence map is extracted from 3-m resolution ascending (track 116) descending 18) ALOS-2 Stripmap datasets cover entire affected area. To distinguish damaged buildings associated with liquefaction, three influential parameters space-based InSAR results,...