scholarly journals Application of Sentinel-1 Radar Remote Sensing Data for Detecting Nuclear Test Location in North Korea on September 3, 2017

2021 ◽  
Author(s):  
Asset Akhmadiya ◽  
Khuralay Moldamurat ◽  
Nabi Nabiyev ◽  
Aigerim Kismanova
Keyword(s):  
Remote Sensing ◽  
North Korea ◽  
Remote Sensing Data ◽  
Nuclear Test ◽  
Underground Explosion ◽  
Line Of Sight ◽  
Operation System ◽  
Radar Remote Sensing ◽  
Sensing Data ◽  
First Time

Sentinel-1A/B radar remote sensing data were applied for the first time to determine the sixth nuclear test, its underground explosion h-bomb location and affected zone in North Korea, on September 3, 2017. Location of epicenters nuclear test were found according to line-of-sight displacement images via its maximum value. Line-of-sight displacement images were obtained by processing in the GMTSAR package in the VirtualBox virtual machine of the Linux Ubuntu 16.04 operation system. In this research, three scenes Sentinel-B data with descending orbits were considered, one after and two before the event (the nuclear test date) scene were used.

scholarly journals Determination of the Earthquake Epicenter from Line-of-Sight Displacement Images Obtained by Sentinel-1A/B Radar Data Using the GMTSAR Software Package

2021 ◽  
Author(s):  
Asset Akhmadiya ◽  
Khuralay Moldamurat ◽  
Nabi Nabiyev ◽  
Aigerim Kismanova
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Radar Data ◽  
Earth’S Crust ◽  
Line Of Sight ◽  
Maximum Deviation ◽  
Earthquake Epicenter ◽  
Operation System ◽  
Radar Remote Sensing ◽  
Earth's Crust

This article described the technology of determining earthquake epicenter with radar remote sensing on the example of Sentinel-1A/B. To determine the epicenter of the earthquake, the Earth's crust displacements were analyzed using radar remote sensing data obtained for the ascending and descending flight orbits. Coordinates of Earthquake epicenters were found according to line-of-sight displacement images via its maximum value. Displacement of the Earth's crust was obtained by processing in the GMTSAR package in the VirtualBox virtual machine of the Linux Ubuntu 16.04 operation system. Two earthquakes that occurred in 2020 were studied to determine the accuracy of finding epicenters using the ascending and descending orbits Sentinel-1A/B. These earthquakes occurred in Western Xizang, China, and Doganyol, Turkey. The maximum deviation from the officially registered epicenter coordinates was 15.38 km for Doganyol and 3.2 km for the Western Xizang earthquake. The negative displacement was 90 mm for Doganyol and 50 mm for Western Xizang.

scholarly journals A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring

2016 ◽  
Vol 8 (1) ◽  
pp. 70 ◽  
Author(s):  
Neha Joshi ◽  
Matthias Baumann ◽  
Andrea Ehammer ◽  
Rasmus Fensholt ◽  
Kenneth Grogan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Data Fusion ◽  
Remote Sensing Data ◽  
Radar Remote Sensing ◽  
Sensing Data

scholarly journals Change Detection Based Building Damage Assessment Method Using Radar Imageries with GLCM Textural Parameters

2020 ◽  
Author(s):  
Asset Akhmadiya ◽  
Nabi Nabiyev ◽  
Khuralay Moldamurat ◽  
Kanagat Dyusekeev ◽  
Sabyrzhan Atanov
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Damage Assessment ◽  
Central Italy ◽  
Remote Sensing Data ◽  
Research Paper ◽  
Building Damage ◽  
Main Task ◽  
Radar Remote Sensing ◽  
Sensing Data

In this research paper, change detection based methods were considered to find collapsed and intact buildings using radar remote sensing data or radar imageries. Main task of this research paper is collection of most relevant scientific research in field of building damage assessment using radar remote sensing data. Several methods are selected and presented as best methods in present time, there are methods with using interferometric coherence, backscattering coefficients in different spatial resolution. In conclusion, methods are given in end, which show, which methods and radar remote sensing data give more accuracy and more available for building damage assessment. Low resolution Sentinel-1A/B radar remote sensing data are recomended as free available for monitoring of destruction degree in microdistrict level. Change detection and texture based method are used together to increase overall accuracy. Homogeneity and Dissimilarity GLCM texture parameters found as better for separation of a collapsed and intact buildings. Dual polarization (VV,VH) backscattering coefficients and coherence coefficients (before earthquake and coseismic) were fully utilized for this study. There were defined the better multi variable for supervised classification of none building, damaged and intact buildings features in urban areas. In this work, we were achieved overall accuracy 0.77, producer’s accuracy for none building is 0.84, for damaged building case 0.85, for intact building 0.64. Amatrice town was chosen as most damaged from 2016 Central Italy Earthquake.

Improving a digital elevation model of Antarctica using radar remote sensing data and GIS techniques1

1999 ◽  
Vol 23 (3) ◽  
pp. 185-200 ◽  
Author(s):  
Kenneth C. Jezek ◽  
Hongxing Liu ◽  
Zhiyuan Zhao ◽  
Biyan Li
Keyword(s):  
Remote Sensing ◽  
Digital Elevation Model ◽  
Remote Sensing Data ◽  
Radar Remote Sensing ◽  
Sensing Data ◽  
Digital Elevation ◽  
Elevation Model
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